scieee Science in your language
[en] (orig)

Application of High-Resolution 3D Scanning in Medical Volumetry

Abstract

This paper deals with application of 3D scanning technology in medicine. Important properties of 3D scanners are discussed with emphasize on medical applications. Construction of medical 3D scanner according to these specifications is described and practical application of its use in medical volumetry is presented. Besides volumetry, such 3D scanner is usable for many other purposes, like monitoring of recovery process, ergonomic splint manufacturing or inflammation detection. 3D scanning introduces novel volumetric method, which is compared with standard methods. The new method is more accurate compared to present ones. Principles of this method are discussed in paper and its accuracy is evaluated and experimentally verified.

Read accessible full text

Application of High-Resolution 3D Scanning in Medical Volumetry

Author: Chromý, Adam
Publisher: Polish Academy of Sciences
Year: 2016
DOI: 10.1515/eletel-2016-0003
Source: https://dspace.vut.cz/bitstreams/a31541f1-5af8-4905-876b-ea9c70db061d/download
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2016, VOL. 62, NO. 1, PP. 23–31
Manusc ip ecei ed No embe 15, 2015; e ised Ma ch, 2016. DOI: 10.1515/ele el-2016-0003
Applica ion o High-Resolu ion 3D Scanning in
Medical Volume y
Adam Ch omy
Abs ac —This pape deals wi h applica ion o 3D scanning
echnology in medicine. Impo an p ope ies o 3D scanne s a e
discussed wi h emphasize on medical applica ions. Cons uc ion
o medical 3D scanne acco ding o hese speci ica ions is de-
sc ibed and p ac ical applica ion o i s use in medical olume y
is p esen ed. Besides olume y, such 3D scanne is usable
o many o he pu poses, like moni o ing o eco e y p ocess,
e gonomic splin manu ac u ing o in lamma ion de ec ion.
3D scanning in oduces no el olume ic me hod, which is
compa ed wi h s anda d me hods. The new me hod is mo e
accu a e compa ed o p esen ones. P inciples o his me hod
a e discussed in pape and i s accu acy is e alua ed and expe -
imen ally e i ied.
Keywo ds—medical olume y, medical 3D scanning, 3D scan-
ning, medical imaging, so - issues
I. INTRODUCTION
Cap u ing h ee-dimensional models has become mo e and
mo e impo an du ing las yea s, due o apid de elopmen
o 3D echnologies, especially 3D p in e s. They a e e y e-
quen ly eques ed de ices oday, i s ma ke is apidly g owing
and i s de elopmen also mo es o wa d e y as . Acco ding
o Google T ends, numbe o sea ch que ies ela ed o 3D
echnologie inc eased mo e han en imes du ing las h ee
yea s [1]. A chi ec u al models o buildings, design p o o ypes
o new p oduc s, o e en 3D p in e s i sel a e 3D p in ed
oday. The e a e expe imen s wi h p in ing eal houses, ood,
o biop in ing [2]. All hese applica ions equi e he same –
compu e 3D model.
3D p in ing is no he only domain, whe e 3D models a e
use ul. They can be also used o s o ing isual in o ma ion
in compac and esis an o m, in which he objec s a e no
ageing. In his case, colou -co e ed 3D models seem o be
he bes modali y. E.g. The Me opoli an Museum o A
published models o i s exhibi s [3], o Sou h Ko ea a chi ed
i s UNESCO he i age a eas [4].
Finally, compu e 3D models a e, due o i s plas ici y,
becoming mo e and mo e used o isualiza ion o objec s,
which a e un eachable (con amina ed, dange ous o emo e
a eas) [5], [6] o en i onmen s, which a e in isible wi hou
in asi e su ge y (human inne s uc u es) [7]. Ano he objec s
a e isible, bu i s impo an de ails a e oo iny (human ou e
s uc u es) and i is necessa y o enla ge hem plas ically [8].
This wo k was suppo ed by he g an No. FEKT-S-14-2429 The esea ch
o new con ol me hods, measu emen p ocedu es and in elligen ins umen s
in au oma ion inanced om in e nal science und o B no Uni e si y o
Technology.
Au ho is wi h Facul y o Elec ical Enginee ing and Communica-
ion, B no Uni e si y o Technology, B no, Czech Republic (e-mail:
[email p o ec ed].cz).
The e a e se e al possibili ies o cap u ing such 3D models,
bu he mos equen me hod is 3D scanning, wha means
di ec cap u ing o 3D model wi h de ice in ended o his pu -
pose [9]. This echnology is sp eading in o he new domains
and mo e and mo e new applica ions a e announced each yea .
Bu s ill, he e a e mos ly echnical domains ge ing in ol ed.
The medicine is one o domains, whe e 3D models a e e y
a ely used, e en hough many oppo uni ies o po en ial 3D
scanning applica ions exis .
This pape deals wi h applica ions o 3D scanning ech-
nologies in medicine, wi h ocus on one o he a eas, whe e
3D scanning b ings signi ican ad an ages – on Medical
Volume y.
Obse ing pa ame e s o human body olumes has been one
o he mos impo an ac o s in diagnosis since beginnings o
medicine and has also se ed o e alua ion o sui abili y o
applied he apy. Bu i you a e isually obse ing only, all
hese geome ical changes can be use ul once he symp oms
a e la ge, wha ypically means ha he disease is al eady
de eloped.
To be able o e eal he disease in i s e y beginning, i
is no enough o obse e only, i needs o measu e and e en
wi h as high as possible esolu ion, wha p o ides possibili y
o ea ly de ec ion o iny changes o olumes, which e e o
symp oms o disease.
In his s udy, we a e ocused on applica ion o p ecise 3D
scanning o accu a e measu emen s o olume ic pa ame e s,
p ima ily body-pa olume. To know he exac alue o his
pa ame e is aluable o many pu poses – e.g. ea ly de ec ion
o pe iphe al oedemas [10], lymphedemas, ca cinomas [11]
o ib osis [12], i s moni o ing and con ol o i s e olu ion;
measu emen o in luence o s eng h exe cises on spo smen
[13] o supe ision o eco e y p ocess a e in asi e su ge ies
[14]. P esen s anda d me hods a e no accu a e enough, easily
usable, o equi e high ope a ional expenses.
P ecise 3D scanning has also one ex a ad an age – spa ial
esolu ion o such models can be also enla ged by one dimen-
sion and all hese models could be egis e ed in ela ion o
ime. Wi h 3D scanning, we a e no able o p ecisely measu e
only, we a e also able o see ends.
In his pape , he p esen olume ic me hods a e summa-
ized, hen cons i u ion o he bes sui able 3D scanne o
medical pu poses is discussed and i s p ac ical applica ion in
medical olume y is p esen ed. Finally, his new olume ic
me hod is compa ed wi h p esen ones, bo h heo e ically and
expe imen ally.
24 A. CHROMY
II. PRESENT VOLUMETRIC METHODS
Acco ding o [11], [13], [15]–[17], he mos equen ly used
olume ic me hods a e:
A. Ci cum e en ial measu emen s
Me hods o his g oup a e based on olume es ima ion
om measu emen s o ci cum e ence a se e al speci ic places.
E e y me hod uses some o m o su ace app oxima ion, wha
leads o lowe accu acy [16]. Repea abili y o measu emen s
signi ican ly depends on expe ience o pe son pe o ming
measu emen [18]. On he o he hand, no special equipmen
is equi ed, hey a e simple and use ul o non- lexible limbs
and pa ien s wi h bad mo o ic abili ies o wa e incompa ible
diseases [11].
The i s mos used me hod is F us um Sign Model based
on measu emen s o 2 ci cum e ences and app oxima ion by
unca ed cone be ween hem, wi h ela i e accu acy1abou
±8% o measu ed olume [18]. E en hough i s accu acy
is low, i s ex emely as (less han 1 min.), wha makes
i sui able o si ua ions, whe e quick es ima ion o olume,
wi hou emphasis on accu acy, is equi ed [19].
Second me hod called Disc Model es ima es olume as
sum o equidis an disks wi h dis ance o 5 cm, wi h ela i e
accu acy abou ±6% o measu ed olume [18], bu be awa e,
ha all hese accu acies mus no been conside ed as de ini i e
since signi ican ly depends on pe sonal expe iences.
B. Wa e Displacemen Volume y
The mos used olume ic me hod, conside ed as golden
s anda d [13], is based on quan um o wa e o e lowing
om ully illed con aine when measu ed limb is inse ed.
I is equen ly used because o i s good accu acy, e y
good epea abili y and negligible dependency on ope a o ’s
expe iences compa ing o ci cum e en ial measu emen s. The
bigges disad an ages a e, ha i equi es good lexibili y and
good mo o ic abili ies o measu ed limb (shi e ing o limb
signi ican ly in luences esul ), he e is possible isk o c oss-
in ec ion, some pa ien s ha e o a oid wa e because o hei
disease and i is e y ime consuming [11], [15]. Acco ding o
[13], [18], [20], i s ela i e accu acy is in e sely p opo ional
wi h measu ed objec olume and a ies om ±2% in case o
lowe leg measu emen s (abou 2700 cm3) o ±8% in case o
inge measu emen s (abou 25 cm3).
C. Op oelec onic Volume Measu emen
The e a e se e al comme cially a ailable single-pu pose
olume ic de ices using his me hod. The measu emen p in-
ciple is based on ho izon ally mo able ame equipped wi h
in a ed ligh emi e s and ecep o s. This ame is mo ing
along axis o examined limb. Ligh beams a e in e up ed by
he olume o measu ed limb and he shadow is cap u ed a
ecep o s in wo pe pendicula axes. By mo ing he ame,
many measu emen s a e pe o med and olume is hen cal-
cula ed om hese alues [18]. Acco ding o [20] ela i e
1 e m ” ela i e accu acy” in his pape means ela i e unce ain y wi h 95%
con idence (2σ)
accu acy o such de ice is ±2% o measu ed olume (in case
o measu emen s in ange om 1000 o 3000 cm3), bu he
epea abili y is much be e since he measu ed alue is no
oo dependan on pe sonal expe iences o mo o ic abili ies o
pa ien [16]. Disad an age o his me hod is, ha expensi e,
single-pu pose de ice is equi ed and esul an bene i s a e
no oo signi ican compa e o Wa e Displacemen Volume y,
which is much cheape [10].
D. 3D Sonog aphy, CT and MRI
In e y occasional cases, mos ly o esea ch pu poses, he
olume is compu ed om 3D models p o ided by hese h ee-
dimensional imaging modali ies [21]–[24]. Each o hem is
able o p o ide 3D model o body pa , bu each o hem
has signi ican disad an ages disallowing i s usage in common
heal h ca e. Ul asonog aphy, due o i s di e gence o sound-
beam, has oo poo esolu ion (abou 5 mm) o be be e
han simple Ci cum e en ial o Wa e displacemen me hods
[25]. Among his, i has oo noisy image [26]. Compu ed
Tomog aphy (CT) eaches up o 0.2 mm spa ial esolu ion
in ou pu 3D model [27], bu ionizing adia ion abso bed by
pa ien du ing one scan is up o 15 mS , wha is one hi d o
allowed exposi ion o wo ke s wi h ionizing sou ce pe yea
and o common people exceeds allowed hygiene limi s e en
15 imes [28]. Fo his eason, use o his modali y is allowed
as a e as possible and epea ed scanning is comple ely ou
o he ques ion. Finally, Magne ic Resonance Imaging (MRI),
al hough i s esolu ion is app ox. 1 mm, canno be widely
used because o i s high cos s, ime consuming examina ions,
pacemake o pie cing disallowing [29].
Applica ion o 3D scanning in medicine b ings no el olume -
ic me hod, which eaches o be e accu acy han men ioned
olume ic me hods, good epea abili y, easy use and low
ope a ional cos s.
III. 3D SCANNNERS
The e a e plen y o 3D scanne s wo king on a ious p in-
ciples, so hei e iew would ake a whole book. Bu wha
hey ha e common is, ha we can make a lis o modules,
which each scanne mus ha e somehow implemen ed. Ra he
hen e alua ing each model o 3D scanne , we discuss each
a ailable implemen a ion o e e y module wi h emphasize on
medical applica ion o 3D scanne . By choosing he mos
sui able implemen a ion o each unc ional block, we can
make an image, how he ideal medical 3D scanne should
be ealized.
The e a e blocks, which each scanne consis s o :
A. Raw Da a Cap u ing
The mos o scanne s measu e dis ance o su ace om
senso . In case o con ac scanne s, his dis ance is gi en by
leng h o ouch p obe. This can be e y p ecise, bu ouching
he examined objec can be damaging o us a ing (in case
o human body scanning) [30].
Con ac less echniques a e mos ly using he lase beam
(lase scanne s). Solu ion wi h measu ing he ime o ligh o
APPLICATION OF HIGH-RESOLUTION 3D SCANNING IN MEDICAL VOLUMETRY 25
lase quan um p o ides wide measu ing ange (up o hund eds
o me e s), bu i s p ecision is limi ed by esolu ion o ime-
measu ing uni (up o 1mm) [31]. Ano he lase scanne
p inciple is iangula ion, ha ing opposi e abili ies: i s accu-
acy is e y high (up o 1µm [32]), bu i s measu ing ange
is limi ed (hund eds o millime es [33]). The in e e ome ic
lase scanne eaches up o 1pm esolu ion, bu i s ange is
up o hund eds o µm [34].
S uc u ed-ligh 3D scanne s p ojec a pa e n o ligh on
he subjec and look a i s de o ma ion in cap u ed image [35].
The ad an age o his me hod is high speed o scanning since
each ime he en i e image is analysed ins ead o one poin
[36]. Ano he ad an age is he p ecision, which is e en be e
han lase iangula ion [37].
S e eopho og amme ic scanne s use wo came as o es-
ima e 3D posi ion o poin s om di e ences be ween wo
images. I is also qui e as wi h accu acy up o 1mm [38].
Di e en ype o aw da a cap u e MRI and CT, whe e he
alue ele an o densi y o ma e ial, is measu ed in e e y
place o examined egion. MRI measu emen s a e e y slow
( ens o minu es), bu inne s uc u es o human body a e
isualized (wi h spa ial esolu ion app ox. 1.5mm3) [21],
[22]. Sligh ly as e and mo e accu a e (app ox. 0.6mm3) is
CT [27], bu i s impo an disad an age is ionizing adia ion.
B. Mo ing he Senso
In o de o build a 3D model o a bi a ily complex objec ,
he senso mus be posi ioned o se e al iew-poin s, om
which all de ails on he su ace o objec a e isible [39].
The hand-held scanne s a e de ices, whe e mo ing o
senso along scanning ajec o y is ealised manually [40]. I
eaches he bes lexibili y, bu he ask o senso localiza ion
(see nex sec ion) is complica ed [41].
The majo i y o 3D scanne s use mo o ized senso mo ing,
mos ly composed om p ecise elec ic s eppe d i e [42] o
se omo o [43]. I p o ides au oma ic mo emen s along op i-
mal, p e- es ed ajec o ies and empowe s also easie senso
localiza ion. I also minimizes he p oblem wi h scanning
anges, which can be e y na ow in some cases (e.g. iangu-
la ion lase scanne s) and o s ay manually in his ange can
be di icul . Disad an age is, ha lexibili y o mo emen is
limi ed by he kinema ic concep ion o axes, along which he
senso mo es [44]. The bes lexibili y eaches he a icula ed
kinema ic chain wi h a leas 6 DOF. When adding 7 h deg ee
o eedom, he singula i y p oblems a e minimized [45].
C. Senso Localiza ion
To be able o esol e posi ion o measu ed poin in coo -
dina e sys em, i is necessa y o know he p ecise posi ion o
senso in 6 DOF2(among aw da a i sel ).
This ask is simple in cases, when mo o ized senso posi-
ioning is used, since he senso mus be connec ed o mo e-
able axis by join s3, which posi ion can be simply measu ed
23 coo dina es unambiguously de ine posi ion o poin and ano he 3
coo dina es unambiguously de ine i s o ien a ion
3Join in his sense can be also linea ly ansla ional, no only o a ional
by encode s, esol e s [46], se omo o ic eed-back [43], e c.
Using di ec kinema ics, i s posi ion can be unambiguously
compu ed wi h high p ecision [47].
F ee hand-held scanne s use he image egis a ion o es-
ima e i s loca ion al e a ion om change o scene be ween
las wo scans [48]. Many scanne s use some me hod based
on ICP [49], usually op imized [50] o modi ied o speci ic
applica ion [51]–[53]. This app oach has wo disad an ages:
The absolu e accu acy is e y low, due o cumula i e cha ac e
o localizing algo i hm, which sums pa ial e o s [54]. I can
also ail in uni o m scenes like a plane, cylinde , sphe e, e c.
This p oblem can be pa ly minimized by ex e nal localizing
sys em based on ine ial measu emen uni (IMU) [41], o
ully sol ed by use o passi e kinema ic chain wi h join
measu emen s [55].
D. Planning T ajec o y o Senso
The e a e 3 ypes o scanning ajec o y planning: online,
s a ic and adap i e.
Online planning is ypical o hand-held scanne s, since
he exac ajec o y is c ea ed jus when scanning and is
unknown be o e [40]. The esul depends on ope a o skills (i
he mee s he measu ing ange, i scanning jus he egion o
in e es , e c.). The o he special example o online planning
is au onomous planning o ajec o y based on ex a sys em
measu emen s (e.g. o e iew lase scanne ) [56]. E en hough
many publica ion ha e been published on his opic, he
solu ion a e s ill no enough obus o be commonly used [57].
S a ic planning uses p ede ined and p e- es ed scanning
ajec o ies. They a e simple and obus in sense o no isk o
unexpec ed beha iou o posi ioning sys em [58]. On he o he
hand, hei use is non- lexible and limi ed e.g. wi h senso s
wi h na ow measu ing ange. T ajec o ies mus be equen ly
ede ined also in case o sligh di e ences o scanned objec s.
Adap i e planning combines bo h me hods abo e. The gen-
e al concep o ajec o y is s ic ly de ined, bu sligh , on-line
compu ed de ia ions acco ding o scanned objec a e allowed
(Fig. 1) [58]. Since he changes o ajec o y a e allowed jus
in de ined deg ee o eedom and also limi ed, he e is no isk
o unexpec ed mo ing and he algo i hm is mo e lexible.
E. Compu a ion o 3D Poin Posi ion
The con ac scanne s dispose wi h he easies way o 3D
poin compu a ion, since he posi ion o ouched poin is
di ec ly he senso loca ion, only shi ed by he leng h o p obe
[30].
Fig. 1. Illus a ing di e ence be ween S a ic planning and Adap i e planning.
26 A. CHROMY
The mos o 3D scanne ypes use geome ic ans o ma-
ions o build he 3D model. This echnique can be used,
when cap u ed aw da a con ains any spa ial in o ma ion (e.g.
dis ance measu ed by lase scanne ) o a e spa ially o de ed
( oxels o CT and MRI).
In case o s e eopho og amme y, he ans o ma ion ap-
p oach canno be used, since he e is no spa ial in o ma ion
in he aw cap u ed da a. The h ee-dimensional ep esen a ion
o scanned objec mus be in e ed om wo images cap u ed
wi h wo came as wa ching he same scene om di e en
iews [48].
F. S o ing and Visualiza ion o 3D Models
The e a e wo basic app oaches o s o ing h ee-dimensional
da a:
3D G id di ides spa ial a ea o scanned objec o egula ly
o de ed same-size elemen s called oxels. Each cube con ains
p obabili y o occupancy by objec (Occupancy G id [59])
o o he alue desc ibing he oxel locali y (E idence G id
[60]), e.g. densi y in case o MRI o CT. All objec s in scan
a e hen app oxima ed by numbe o same cubes, wha is a
om eali y. Also he memo y equi emen s a e e y high.
On he o he hand, compu a ions o e such model a e simple
and as . I s use ul o models in low esolu ion, which a e
equen ly upda ed and ebuild, e.q. in case o 3D li e iew.
This ep esen a ion is used in s anda d medical ile o ma
DICOM, used o s o ing da a om CT and MRI.
Poin Cloud in i s aw o ma is uno de ed se o h ee-
dimensional ec o s de ining posi ion o poin s in space [60].
In p ac ical applica ions, hey con ains also ex a in o ma ions
abou his poin (colou , ma e ial, e c.). This o ma allows
o desc ibe he wo ld by geome ic shapes, wha is mo e
au hen ic app oxima ion han g ids. The memo y equi emen s
a e signi ican ly lowe han g ids. Disad an age o his o ma
is highe compu a ional load and mo e complex analysing
o model. I s use ul o models, whe e p ecision and high
esolu ion is equi ed, bu hey a e no upda ed oo o en [61].
IV. MEDICAL 3D SCANNER
The uni e sal 3D scanning de ice sui able o medical
pu poses and usable in e e yday p ac ice shall ha e ollowing
abili ies:
•High accu acy – essen ial pa ame e o being able o
dis inguish e en iny changes o human body caused by
oedemas, muscle a ophy o muscle s eng hening.
•Flexibili y – since de ice should be uni e sal, we shall
be capable o scanning en i e body as same as i s iny
de ails. Because o ha , he 3D scanne mus be e y
lexible.
•Low ope a ional cos s – o allow i s e e yday use, i s
ope a ion shall be inexpensi e.
•Simple manipula ion – de ice mus be as much as possi-
ble au oma ed, no dis u bing he pe sonnel wi h complex
se ings be o e each scanning.
•High speed – he scanning p ocedu e mus be e y as .
In o he cases, he pe sonnel would no ha e ime o use
i and would p e e es ima ion ins ead o measu emen .
•No limi a ions – de ice should be usable wi h any pa ien .
The e should be no limi a ions acco ding o me al pa s,
heal h s a e, e c.
•Ha mless ope a ion – using he de ice shall no be ha m-
ul o bo h pa ien and pe sonnel in any ci cums ances.
To ul il all hese equi emen s, he design o medical 3D
scanne shall be as ollows:
Da a cap u ing senso shall be s uc u ed ligh 3D scanne
o iangula ion lase scanne , due o p ecision easons. As a
esul o his, compu a ion o 3D poin posi ion shall be based
on geome ic ans o ma ions. Senso mo ion shall be mo-
o ized om eason o p ecise senso localiza ion, au oma ic
mo emen and keeping in measu ing ange. The kinema ic
chain shall be a icula ed, due o he lexibili y equi emen .
T ajec o y planning shall be adap i e, in o de o each some
deg ee o au onomy wi h keeping he mo ion unde he con ol.
Cap u ed da a shall be s o ed in o m o ex ended poin cloud,
since i does no a ec model accu acy. The p oblem wi h
compu a ional equi emen s is no se ious, since he model is
once cap u ed and a e wa ds modi ied occasionally.
Because such de ice is no comme cially a ailable, we
c ea ed ou own 3D scanne [62] mee ing he speci ica ions
abo e: Robo ic 3D Scanne .
A. Robo ic 3D Scanne
Robo ic 3D scanne is a 3D modelling sys em based
on no el cons i u ion, which uses combina ion o 6 DOF
indus ial obo ic manipula o and iangula ion-based lase
scanne connec ed wi h con olling and da a p ocessing com-
pu e (Fig. 2). Lase scanne measu es dis ance om pa ien
su ace, when obo ic manipula o con ols scanne posi ion
and o ien a ion. F om in o ma ion abou posi ion, di ec ion o
iew and dis ance o su ace, each poin posi ion in 3D space
can be compu ed. This solu ion combines high lexibili y wi h
high p ecision and eliabili y.
Fig. 2. Robo ic manipula o wi h lase scanne combines high accu acy wi h
lexibili y.
APPLICATION OF HIGH-RESOLUTION 3D SCANNING IN MEDICAL VOLUMETRY 27
Fig. 3. Analyzing so wa e allowing measu emen s o egion o in e es .
High accu acy is eached by using p ecise manipula o wi h
accu a e lase scanne and high lexibili y is caused by p o-
g ammable scanning ajec o y in six deg ees o eedom and
by eplaceabili y o lase scanne , wha p o ides possibili y o
scanning bo h iny and la ge s uc u es.
I is 3D modelling sys em, use ul o many di e en medical
applica ions beside olume ics: moni o ing o issue eco e y
p ocess, pose measu emen s o ehabili a ion pu poses o
e gonomic splin s design; bu also a o he domains om
a chi ing o his o ical ma e ials in museums, h ough design,
models o compu e games and indus ial inspec ion o 3D
objec cloning.
Robo ic 3D Scanne p o ides h ee-dimensional model o
pa ien body-pa , which can be analyzed in ou sel -de eloped
analyzing so wa e (Fig. 3). The big ad an age is he pos-
sibili y o selec ion o egion o in e es . The e a e se e al
pa ame e s a ailable o be measu ed:
•Dis ances [mm] – be ween de ined poin s (di ec ly, along
he su ace), ci cum e ences o ROI.
•Angles [deg] – angle be ween h ee de ined poin s (e.g.
e eb ae posi ions)
•Su ace a ea [mm2] – en i e model o ROI
•Volume [mm2] – en i e model o ROI de ined by cu ing
plane o de lec ed cu ing su ace
De ailed desc ip ion o Robo ic scanne ’s p inciples and
unc ions, ele an ans o ma ion equa ions o analysing so -
wa e capabili ies can be ound a [44] o [8].
V. NEW VOLUMETRIC METHOD
Con a y o F us um Sign Model, Disc Model, Wa e Dis-
placemen Me hod and Op oelec onic Volume e s, wha a e
he single-pu pose me hods o de ices, his me hod applies
mul i-pu pose Robo ic 3D Scanne [44] in o de o measu e
olume. Likewise he MRI o CT, i is no a de ice de eloped
o measu e olumes only, i is a uni e sal 3D scanning de ice
applicable o many o he a ious pu poses.
Robo ic 3D Scanne Volume y use he same measu ing p o-
cedu e as olume y ealized by MRI, CT o Ul asonog aphic
olume y. The same measu ing p ocedu e is applied also in
case o using any o he gene ic 3D scanne , he only di e ence
a e p ope ies o ou pu alues (accu acy, epea abili y, egion
selec abili y, e c.).
Fig. 4. Main p inciple o p oposed olume ic me hod.
Me hod p inciple can be di ided o se e al s eps, as shown
on Fig. 4.
Fi s s ep is cha ac e ized by c ea ing a p ecise 3D model o
measu ed limb o any o he in e es ed body pa . This model is
s o ed in poin -cloud o m, which elimina es losses o de ailed
ea u es and inc eases accu acy o he me hod 4.
Such models a e isualized o ope a o , who de ines egions
o in e es (ROI) whe eo olume wan o be measu ed (Fig. 3).
This abili y is an impo an ad an age on con a y o some
s anda d me hods (e.g. Wa e Displacemen Volume y), whe e
ROI is de ined by me hod i sel .
The olume o selec ed ROI is hen compu ed. Robo ic
3D Scanne Volume y uses Signed Volume o Te ahed on
Me hod [63], which accu acy is limi ed only by posi ioning
e o o poin s o cap u ed 3D model. G id-based s o ing
sys ems (MRI, CT, Sono) compu es olume as sum o oxels5
belonging o ROI. Resul ing accu acy is hen limi ed by g id
esolu ion.
A. Majo Ad an ages o This Me hod
The e a e se e al majo ad an ages o his me hod, com-
pa ed o s anda d ones:
•The highes accu acy compa e o s anda d me hods (see
sec ion V-B).
•Accu acy is independen on skills o hospi al s a , like
i is no in case o Ci cum e en ial measu emen s.
•Fas measu ing p ocess compa ed o all he me hods
excep he Op oelec onic olume e s.
•No equi emen s on pa ien like a Wa e Displacemen
Me hod (mobili y and lexibili y o limb) o MRI (no
pie cing, no pace-make s).
•Mul i-pu pose imaging modali y, no single-pu pose de-
ice as Op oelec onic olume e s.
•Selec i i y o measu ed a ea (possible o de ine egion o
in e es ).
•Low ope a ion expenses compa e o CT o MRI.
•No ionizing adia ion like a CT.
B. Accu acy o Measu emen
As men ioned abo e, esul ing olume is compu ed om
h ee-dimensional model o objec su ace. When using poin -
cloud o m and Signed Volume o Te ahed on Me hod o ol-
ume compu a ion, he only indispensable sou ce o unce ain y
is hen unce ain y o measu ing he posi ion o single poin
4MRI and CT p inciples do no allow o use a poin -cloud o m o s o ing
in o ma ions, he g id- ype memo y mus be used, wha leads o dec ease o
me hod accu acy.
5Voxel is he smalles a ailable olume elemen in g id ep esen a ion. In
mos ealiza ions, i is a cube wi h leng h o side gi en by spa ial esolu ion.

28 A. CHROMY
Fig. 5. Volume ic unce ain y: De i ing heo e ical accu acy om lase
scanning unce ain y.
in 3D model (∆Xmax). As long as he Robo ic 3D Scanne is
p ope ly calib a ed, he only conside able sou ces in luencing
scanne ’s accu acy a e obo ic manipula o accu acy (∆M) and
lase scanne accu acy (∆S). Rela ion be ween hese symbols
has been de i ed in [8] as ollows6:
∆Xmax = 3 (∆M+ ∆S)(1)
Compu e model o objec is composed om many single
poin s close o each o he on i s su ace, as shown on Fig. 5.
E e y poin is measu ed wi h unce ain y ∆Xmax, so he
maximal absolu e olume ic unce ain y ∆Vis an spa ial a ea
ma ked on Fig. 5 wi h dashed lines and exp essed as:
∆V=S·∆Xmax (2)
whe e Sis su ace a ea o he measu ed objec [m2].
Rela i e accu acy (δV) is hen de ined as:
δV=S
V·∆Xmax (3)
whe e Vis olume o he measu ed objec [m3].
Since Robo ic 3D Scanne is wo king wi h a ious
manipula o s and lase scanne s, also inal accu acy δV
will a y o di e en cons i u ions. Fo body-pa olu-
me ic measu emen s, we use lase scanne Mic oEpsilon
ScanCONTROL2750-100 wi h accu acy ∆S=±0.027 mm
[64] and obo ic manipula o Epson C3 wi h accu acy o end-
poin placemen ∆M=±0.013 mm [65]. Acco ding o (1),
Robo ic 3D Scanne ’s accu acy in his case is ∆Xmax =
±0.12 mm and acco ding o (3), eal olume ic measu emen
unce ain y (δV ) o p oposed de ice is:
δV =S
V·1.2·10−4(4)
VI. COMPARISON WITH STANDARD METHODS
Rela i e accu acies o all compa ed me hods a e summa-
ized in Table I. Since ela i e accu acy o se e al me hods
is no a cons an , i is no possible o clea ly compa e hem
6This equa ion encapsula es also he unce ain y o Robo ic 3D Scanne
calib a ion p ocedu e and i is a e y pessimis ic es ima ion – see [8].
TABLE I
METHODS COMPARISON: RELATIVE ACCURACIES OF STANDARD
METHODS AND THE NEW METHOD.
Me hod Rela i e Accu acy δV
F us um Sign Model 8 %
Disc Model 6 %
Wa e Displacemen Me hod om 2 % (a 2700 cm3)
up o 8 % (a 25 cm3)
Op oelec onic Volume e s 2 % (1000 −3000 cm3)
3D Ul asonog aphy (5.0·10−3·S/V ) %
Magne ic Resonance Imaging (MRI) (1.0·10−3·S/V ) %
Compu ed Tomog aphy (CT) (2.0·10−4·S/V ) %
Robo ic 3D Scanne (1.2·10−4·S/V ) %
di ec ly. Because he alue o accu acy is a unc ion o
measu ed objec shape (mo e p ecisely unc ion o su ace-
o- olume a io), compa ison will be made on wo e e ence
objec s:
•p ecise cuboid – o be able o e i y compu ed accu acy
expe imen ally (see sec ion VII),
•human hand – o be able o compa e p oposed me hod
wi h s anda d ones in hei s anda d wo king condi ions.
Rela i e accu acy p og essions o pa icula me hods a e
isualized on Fig. 6 ( o e e ence cuboid) and on Fig. 7 ( o
human hand). These p og essions encapsula e he in luence o
su ace-a ea- o- olume a ios (S/V ) on ela i e accu acy o
me hod.
I is clea om bo h igu es, ha accu acy o Robo ic 3D
Scanne each he bes alue in e e y si ua ion. The second
mos accu a e me hod is compu ing he olume om CT cap-
u ed model, bu due o high doses o ionizing adia ion, i is
used e y a ely. The hi d bes me hod – Wa e Displacemen
Volume y – does no ha e such se ious limi a ions. F om his
eason i is he mos used s anda d me hod, bu i s accu acy
is app oxima ely 4 imes lowe han accu acy o Robo ic 3D
Scanne Volume y.
VII. EXPERIMENTAL RESULTS
Theo e ical es ima ion o accu acy de i ed in sec ion V-B
was expe imen ally e i ied on se o e e ence objec s wi h
Fig. 6. Me hods compa ison: Rela i e measu emen accu acy δVand i s
dependency on size o cuboid (i s olume).
APPLICATION OF HIGH-RESOLUTION 3D SCANNING IN MEDICAL VOLUMETRY 29
Fig. 7. Me hods compa ison: Rela i e measu emen accu acy δVand i s
dependency on size o human hand (i s olume).
known dimensions and olume. The i s e e ence objec
was a p ecise cuboid om blackened s eel manu ac u ed
by p ecision-enginee ing company and consequen ly e i-
ied in op ical measu ing chambe . De ining dimensions o
cuboid a e 29.996 ±0.001 mm,39.990 ±0.001 mm and
49.993±0.001 mm, wi h pa allelisms o co esponding planes
0.005±0.001 mm,0.008±0.001 mm and 0.007±0.001 mm,
and wi h maximal pe pendicula i y 0.007 ±0.001 mm (ϑ=
22◦C, φ = 46%).
Acco ding o [66], ue olume o he e e ence objec V e
is:
V e = 59.969 ±0.005 cm3(5)
Volume o his e e ence objec was 10 imes measu ed by
Robo ic 3D Scanne Volume ic Me hod. A each measu e-
men , same scanning ajec o y, bu di e en o ien a ion o
e e ence objec inside scanning a ea was used. The mean
alue and unce ain y ype A [67] we e de e mined om
measu ed da a:
Vmeas = 60.43 ±0.30 cm3(6)
Assuming he equa ion (4), heo e ical ela i e accu acy in
case o measu emen o objec wi h his size is δ heo y =
±1.88 %, so he measu ed alue Vmeas should be compa ible
wi h in e al de ined by ue alue V e and ange δ heo y:
V heo y = 59.97 ±1.13 cm3(7)
This expe imen p o es alidi y o equa ion (4) o simila -
sized objec s since Vmeas is compa ible wi h V heo y.
To be able o e i y wide ange o olumes beyond he p e-
cise me al e e ence objec , we used also he bigge e e ence
cuboids. These objec s we e less-p ecise and made om wood
(due o manu ac u ing expenses), bu i s dimensions we e
known oge he wi h unce ain y o dimension measu emen s.
Resul s o hese measu emen s we e e alua ed exac ly he
same way.
All esul s o e i ica ion a e summa ized in Table II and
Fig. 8. All he ele an esul s a e compa ible, so he heo e -
ically de i ed ela i e accu acy de ined by equa ion (4) was
e i ied and seems o be alid.
Figu e 8 shows heo e ical accu acy (”Decla ed accu acy”)
and ue accu acy7wi h e o ba s p esen ing a iance o mea-
su emen s (”T ue accu acy”). En i e se o measu ed alues
s ayed below he decla ed accu acy, wha shows, ha his
accu acy es ima ion is e y pessimis ic, and eal accu acy
seems o be be e (”Appa en eal accu acy”).
TABLE II
EXPERIMENTAL VERIFICATION OF METHOD ACCURACY.
Re . V e δV V heo y Vmeas Compa-
Obj. [cm3] [%] [cm3] [cm3] ibili y
#1 59.97 1.88 60.0±1.1 60.4±0.3YES
#2 536.01 0.89 536.0±4.8 535.1±2.6YES
#3 973.59 0.73 973.6±7.1 974.8±2.3YES
#4 1734.71 0.63 1734.7±11.0 1737.7±3.0YES
#5 2540.44 0.59 2540.4±15.0 2544.4±3.0YES
VIII. CONCLUSION
Despi e apid de elopmen o 3D scanning, i s boom im-
pac s mo e o less only echnically-o ien ed domains. Bu he e
a e many oppo uni ies also in o he a eas, like a medicine.
This pape analyses needs o medicine in sense o 3D scan-
ning and in e ences equi emen s on medical 3D scanning.
Acco ding his speci ica ion, medical 3D scanne has been
de eloped and i s con ibu ion has been demons a ed on one
o i s applica ions – medical olume y.
P oposed no el me hod o olume ic measu emen s
eaches up o he bes accu acy compa ed o all s anda d
me hods. Acco ding o pessimis ic heo e ical e alua ions o
pe o mance, i s ela i e accu acy a ies om ±1 % o
±0.5 %, depending on complexi y o scanned limb su ace,
speci ically on he su ace-a ea- o- olume a io. Bu du ing
7compu ed as ela i e di e ence be ween ue ( e e ence) alue and mea-
su ed alue
Fig. 8. Compa ing e i ica ion measu emen s and heo e ical me hod
accu acy.
30 A. CHROMY
e i ying expe imen s, ela i e e o was e en 4 imes lowe .
The only a ea, whe e his me hod is no sui able is measu e-
men o objec s smalle han 1 cm3, whe e measu emen e o
eaches up o ±10 %.
In addi ion o high accu acy, p oposed Robo ic 3D Scanne
is mul i-pu pose de ice ha ing wide a e o usage also ou side
o medical domain. I can be used in escue obo ics [68]
o expe imen al biology [69]. In u u e wo k, i could be
de eloped wi h mo e senso s wi h da a usion [70], wha
would allow no only moni o ing he oedema, bu also ind
he cen e o in lamma ion due o augmen ed eali y [71].
REFERENCES
[1] “Google ends,” h ps://www.google.com/ ends. [Online]. A ailable:
<h ps://www.google.com/ ends>
[2] “A oundup o how odays 3D p in ing echnology is
p og essing.” [Online]. A ailable: <h p://3dp in .com/
27954/3d-p in ing- oundup/>
[3] “Digi al unde go und,” h p://www.me museum.o g/abou -
he-museum/museum-depa men s/o ice-o - he-di ec o /digi al-
media-depa men /digi al-unde g ound. [Online]. A ailable:
<h p://www.me museum.o g/abou - he-museum/
museum-depa men s/o ice-o - he-di ec o /
digi al-media-depa men /digi al-unde g ound>
[4] J. Pa k, “Digi al es o a ion o seokgu am g o o: The digi al a chi ing
and he exhibi ion o sou h ko ea’s ep esen a i e UNESCO wo ld he -
i age,” in P oceedings o 2012 In e na ional Symposium on Ubiqui ous
Vi ual Reali y, ISUVR 2012, 2012, pp. 26–29.
[5] L. Zalud, L. Kopecny, and F. Bu ian, “O pheus econnissance obo s,”
in P oceedings o he 2008 IEEE In e na ional Wo kshop on Sa e y,
Secu i y and Rescue Robo ics, SSRR 2008, Sendai, Japan, 2008, pp.
31–34.
[6] L. Zalud, “ARGOS - sys em o he e ogeneous mobile obo eleope a-
ion,” in 2006 IEEE/RSJ In e na ional Con e ence on In elligen Robo s
and Sys ems, IROS 2006, Beijing; China, 2006, pp. 211–216.
[7] J. Hu, Y. Cao, T. Wu, D. Li, and H. Lu, “High- esolu ion h ee-
dimensional isualiza ion o he a spinal co d mic o ascula u e by
synch o on adia ion mic o-CT,” Medical Physics, ol. 41, no. 10, 2014.
[8] A. Ch omy and L. Zalud, “Robo ic 3D scanne as an al e na i e o
s anda d modali ies o medical imaging,” Sp inge Plus, ol. 3, no. 1,
p. 13, 2014. [Online]. A ailable: <h p://www.sp inge plus.
com/con en /3/1/13>
[9] S. Klein, M. A e y, G. Adams, S. Polla d, and S. Simske, “F om scan o
p in : 3D p in ing as a means o eplica ion,” HP Labo a o ies Technical
Repo , no. 30, 2014.
[10] F. Haase, C. Siewe , D. B. on Rau en eld, J. U. Fischbach, and
H. Sei e , “Compa ison o di e en me hods o quan i y he olume o
ho se limbs,” Be line Und Mnchene Tie z liche Wochensch i , ol.
122, no. 3-4, pp. 126–131, Ap . 2009, PMID: 19350812.
[11] S. H. Ridne , L. D. Mon gome y, J. T. Hepwo h, B. R. S ewa , and J. M.
A me , “Compa ison o uppe limb olume measu emen echniques and
a m symp oms be ween heal hy olun ee s and indi iduals wi h known
lymphedema,” Lymphology, ol. 40, no. 1, pp. 35–46, Ma . 2007, PMID:
17539463.
[12] R. C. B. Ribei o, S. M. P. F. Lima, A. C. G. Ca ei a,
D. Masie o, and T. R. Chamlian, “In e - es e eliabili y
assessmen o he olume ic measu emen o he hand in
subjec s wi hou any changes in hei uppe ex emi ies,” Ac a
Fisia ica, ol. 17, no. 1, pp. 3–7, 2010. [Online]. A ail-
able: <h p://www.ac a isia ica.o g.b /audiencia_
pd .asp?aid2=68&nomeA qui o=en_ 17n1a02.pd >
[13] D. M. Kaulesa Sukul, P. T. den Hoed, E. J. Johannes, R. an Dolde ,
and E. Benda, “Di ec and indi ec me hods o he quan i ica ion
o leg olume: compa ison be ween wa e displacemen olume y,
he disk model me hod and he us um sign model me hod, using
he co ela ion coe icien and he limi s o ag eemen ,” Jou nal o
Biomedical Enginee ing, ol. 15, no. 6, pp. 477–480, No . 1993, PMID:
8277752.
[14] P. Konecny, “No e endy neu o ehabili aci [abs ac ],” in Dobsak P
(ed) P oceedings o he IV. Dny Fyzio e apie: 11-12 Oc obe 2013, 2013,
pp. 7 – 7.
[15] K. La elle and D. B. S an on, “Measu emen o edema in he hand
clinic,” May 2014.
[16] J. M. A me and S. H. Ridne , “Measu emen echniques in assessmen
o lymphedema,” Lymph Link A icle Rep in , ol. 18, no. 3, pp. 1–4,
Sep. 2006.
[17] F. B ijke , Y. F. Heijd a, F. J. Van Den Elshou , F. H. Bosch, and H. T.
Folge ing, “Volume ic measu emen s o pe iphe al oedema in clinical
condi ions,” Clinical Physiology (Ox o d, England), ol. 20, no. 1, pp.
56–61, Jan. 2000, PMID: 10651793.
[18] T. Del ombe, J. Jama , S. Recloux, C. Leg and, N. Vandenb oeck,
S. Theys, and P. Hanson, “Reliabili y and limi s o ag eemen o
ci cum e en ial, wa e displacemen , and op oelec onic olume y in he
measu emen o uppe limb lymphedema,” Lymphology, ol. 40, no. 1,
pp. 26–34, Ma . 2007, PMID: 17539462.
[19] P. Ka akas and M. G. Bozki , “An h opome ic indices in ela-
ion o o e weigh and obesi y among u kish medical s uden s,”
A chi es o Medical Science, ol. 8, no. 2, pp. 209–213, Ap . 2012,
WOS:000304232700005.
[20] R. Dams a, Diagnos ic and he apeu ical aspec s o lymphedema.
D ach en; Maas ich : S ich ing Lym ologie Cen um Nede land (SLCN)
; Uni e si y Lib a y, Uni e si ei Maas ich [hos ], 2009.
[21] A. R. Webb, In oduc ion o biomedical imaging. Hoboken, New Je sey:
Wiley, 2003.
[22] J. K. Udupa and G. T. He man, 3D Imaging in Medicine, Second Edi ion.
CRC P ess, Sep. 1999.
[23] J. W. Ramsay, P. J. Ba ance, T. S. Buchanan, and J. S.
Higginson, “Pa e ic muscle a ophy and non-con ac ile issue con en
in indi idual muscles o he pos -s oke lowe ex emi y,” Jou nal
o Biomechanics, ol. 44, no. 16, pp. 2741–2746, No . 2011.
[Online]. A ailable: <h p://linkinghub.else ie .com/
e ie e/pii/S0021929011005884>
[24] M. d. A. Sil a-Cou o, C. L. P ado-Medei os, A. B. Oli ei a, C. C.
Alcan a a, A. T. Guima aes, T. d. F. Sal ini, R. Ma ioli, and T. L.
de Russo, “Muscle a ophy, olun a y ac i a ion dis u bances, and low
se um concen a ions o IGF-1 and IGFBP-3 a e associa ed wi h weak-
ness in people wi h ch onic s oke,” Physical The apy, ol. 94, no. 7,
pp. 957–967, Jul. 2014, WOS:000338170100006.
[25] W. Chong and P. Sidhu, Measu emen in Ul asound: A p ac ical
handbook. CRC P ess, Ap . 2004.
[26] P. Bening on, “Masse e muscle olume measu ed using ul asonog aphy
and i s ela ionship wi h acial mo phology,” The Eu opean Jou nal
o O hodon ics, ol. 21, no. 6, pp. 659–670, Dec. 1999. [Online].
A ailable: <h p://ejo.oupjou nals.o g/cgi/doi/10.
1093/ejo/21.6.659>
[27] C. H. McCollough and F. E. Zink, “Pe o mance e alua ion o a mul i-
slice CT sys em,” Medical Physics, ol. 26, no. 11, pp. 2223–2230, No .
1999, PMID: 10587202.
[28] S a ni u ad p o jade nou bezpecnos , “Vyhlaska o adiacni och ane,”
2002.
[29] Z. Seidl and M. Vanko , Magne ick ezonance hla y, mozku a
p ee, a icenum ed. G ada, 2007. [Online]. A ailable: <h p:
//www.ma inus.cz/?uI em=32926>
[30] “Coo dina e measu ing machine his o y - i y yea s o
CMM his o y leading up o a measu ing e olu ion.”
[Online]. A ailable: <h p://www.coo d3-cmm.
com/50-yea s-o -coo dina e-measu ing-machine/
indus y-de elopmen s-and-his o y/>
[31] J. Shan and C. K. To h, Eds., Topog aphic lase anging and scanning:
p inciples and p ocessing. Boca Ra on: CRC P ess/Taylo & F ancis
G oup, 2009.
[32] K. B. Smi h and Y. F. Zheng, “Accu acy analysis o poin lase
iangula ion p obes using simula ion,” Jou nal o Manu ac u ing
Science and Enginee ing, ol. 120, no. 4, pp. 736–745, No .
1998. [Online]. A ailable: <h p://dx.doi.o g/10.1115/1.
2830214>
[33] R. G. Do sch, G. Husle , and J. M. He mann, “Lase
iangula ion: undamen al unce ain y in dis ance measu emen ,”
Applied Op ics, ol. 33, no. 7, p. 1306, Ma . 1994. [Online].
A ailable: <h p://www.op icsin obase.o g/abs ac .
c m?URI=ao-33-7-1306>
[34] R. Heinkelmann and H. Schuh, “Ve y long baseline in e e ome y:
accu acy limi s and ela i is ic es s,” in Rela i i y in Fundamen al
As onomy: Dynamics, Re e ence F ames, and Da a Analysis, se .
P oceedings o he In e na ional As onomical Union, ol. 5, Ap .
2009, p. 286290. [Online]. A ailable: <h p://jou nals.
camb idge.o g/a icle_S1743921309990524>
APPLICATION OF HIGH-RESOLUTION 3D SCANNING IN MEDICAL VOLUMETRY 31
[35] R. Mo ano, C. Oz u k, R. Conn, S. Dubin, S. Zie z, and J. Nissano,
“S uc u ed ligh using pseudo andom codes,” IEEE T ansac ions on
Pa e n Analysis and Machine In elligence, ol. 20, no. 3, pp. 322–327,
Ma . 1998.
[36] K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hasseb ook, “Dual-
equency pa e n scheme o high-speed 3-D shape measu emen ,”
Op ics Exp ess, ol. 18, no. 5, p. 5229, Ma . 2010. [Online].
A ailable: <h p://www.op icsin obase.o g/abs ac .
c m?URI=oe-18-5-5229>
[37] S. Zhang and P. S. Huang, “High- esolu ion, eal- ime h ee-
dimensional shape measu emen ,” Op ical Enginee ing, ol. 45,
no. 12, pp. 123 601–123 601–8, 2006. [Online]. A ailable: <h p:
//dx.doi.o g/10.1117/1.2402128>
[38] J. Baqe sad, J. Ca , T. Lunds om, C. Niez ecki, P. A i abile,
and M. Sla e y, “Dynamic cha ac e is ics o a wind u bine blade
using 3D digi al image co ela ion,” in P oc. SPIE 8348, Heal h
Moni o ing o S uc u al and Biological Sys ems 2012, ol. 8348, San
Diego, Cali o nia, 2012, pp. 83 482I–83 482I–9. [Online]. A ailable:
<h p://dx.doi.o g/10.1117/12.915377>
[39] G. F. Ma shall, Ed., Handbook o op ical and lase scanning, se . Op ical
enginee ing. New Yo k: Ma cel Dekke , 2004, no. 90.
[40] F. Walkowski, R. Johns on, and N. P ice, “Tex u e mapping o he
Fas SCAN hand-held lase scanne ,” in Image and Vision Compu ing
New Zealand, 2008. IVCNZ 2008. 23 d In e na ional Con e ence, No .
2008, pp. 1–6.
[41] K. S obl, E. Mai , T. Bodenmulle , S. Kielho e , W. Sepp, M. Suppa,
D. Bu schka, and G. Hi zinge , “The sel - e e enced DLR 3D-modele ,”
in IEEE/RSJ In e na ional Con e ence on In elligen Robo s and Sys-
ems, 2009. IROS 2009, Oc . 2009, pp. 21–28.
[42] A. L. Reyes, J. M. Ce an es, and N. C. Gu i ez, “Low
cos 3D scanne by means o a 1D op ical dis ance senso ,”
P ocedia Technology, ol. 7, pp. 223–230, 2013. [Online].
A ailable: <h p://www.sciencedi ec .com/science/
a icle/pii/S2212017313000297>
[43] Zhang, A., Hu, S., Chen, Y., Liu, H., Yang, F., and Liu, J., “Fas
con inuous 360 deg ee colo 3D lase scanne ,” in INTERNATIONAL
ARCHIVES OF PHOTOGRAMMETRY REMOTE SENSINGAND SPA-
TIAL INFORMATION SCIENCES, ol. 1, 2008, pp. 409–414.
[44] A. Ch omy and L. Zalud, “No el 3D modelling sys em cap u ing
objec s wi h Sub-Millime e esolu ion,” Ad ances in Elec ical and
Elec onic Enginee ing, ol. 12, no. 5, pp. 476–487, Dec. 2014.
[Online]. A ailable: <h p://ad ances.u c.sk/index.php/
AEEE/a icle/ iew/1123>
[45] R. M. Mu ay, Z. Li, S. S. Sas y, and S. S. Sas y, A Ma hema ical
In oduc ion o Robo ic Manipula ion. CRC P ess, Ma . 1994.
[46] S. Y. No , Handbook o Indus ial Robo ics. John Wiley & Sons, 1999.
[47] F. Solc and L. Zalud, Robo ika. B no: B no Uni e si y o Technology,
2006.
[48] L. G. B own, “A su ey o image egis a ion echniques,” ACM Compu .
Su ., ol. 24, no. 4, p. 325376, Dec. 1992. [Online]. A ailable:
<h p://doi.acm.o g/10.1145/146370.146374>
[49] P. Besl and N. D. McKay, “A me hod o egis a ion o 3-D shapes,”
IEEE T ansac ions on Pa e n Analysis and Machine In elligence,
ol. 14, no. 2, pp. 239–256, Feb. 1992.
[50] S. Rusinkiewicz and M. Le oy, “E icien a ian s o he ICP algo i hm,”
in Thi d In e na ional Con e ence on 3-D Digi al Imaging and Modeling,
2001. P oceedings, 2001, pp. 145–152.
[51] Alshawa, M., “ICL: i e a i e closes line - a no el poin cloud egis a-
ion algo i hm based on linea ea u es,” Ekscen a , no. 10, pp. 53–59,
2007.
[52] J. Poppinga, N. Vaske icius, A. Bi k, and K. Pa hak, “Fas plane
de ec ion and polygonaliza ion in noisy 3D ange images,” in IEEE/RSJ
In e na ional Con e ence on In elligen Robo s and Sys ems, 2008. IROS
2008, Sep. 2008, pp. 3378–3383.
[53] F. Bellocchio, N. A. Bo ghese, S. Fe a i, and V. Piu i, 3D
Su ace Recons uc ion. New Yo k, NY: Sp inge New Yo k, 2013.
[Online]. A ailable: <h p://link.sp inge .com/10.1007/
978-1-4614-5632-2>
[54] K. S obl, E. Mai , and G. Hi zinge , “Image-based pose es ima ion o
3-D modeling in apid, hand-held mo ion,” in 2011 IEEE In e na ional
Con e ence on Robo ics and Au oma ion (ICRA), May 2011, pp. 2593–
2600.
[55] B. Meh a and R. Ma inescu, “Compa ison o image gene a ion and
p ocessing echniques o 3D econs uc ion o he human skull,” in
P oceedings o he 23 d Annual In e na ional Con e ence o he IEEE
Enginee ing in Medicine and Biology Socie y, 2001, ol. 4, 2001, pp.
3687–3690 ol.4.
[56] D. Chwa, J. Kang, and J. Choi, “Online ajec o y planning o obo a ms
o in e cep ion o as maneu e ing objec unde o que and eloci y
cons ain s,” IEEE T ansac ions on Sys ems, Man and Cybe ne ics, Pa
A: Sys ems and Humans, ol. 35, no. 6, pp. 831–843, No . 2005.
[57] J. Le inson, J. Askeland, J. Becke , J. Dolson, D. Held, S. Kammel,
J. Kol e , D. Lange , O. Pink, V. P a , M. Sokolsky, G. S anek,
D. S a ens, A. Teichman, M. We ling, and S. Th un, “Towa ds ully
au onomous d i ing: Sys ems and algo i hms,” in 2011 IEEE In elligen
Vehicles Symposium (IV), Jun. 2011, pp. 163–168.
[58] G. Xiaoqing and W. Jidong, “T ajec o y planning heo y and me hod
o indus ial obo ,” in 2011 3 d In e na ional Con e ence on Compu e
Resea ch and De elopmen (ICCRD), ol. 2, Ma . 2011, pp. 340–343.
[59] R. Danescu, “Obs acle de ec ion using dynamic Pa icle-Based oc-
cupancy g ids,” in 2011 In e na ional Con e ence on Digi al Image
Compu ing Techniques and Applica ions (DICTA), Dec. 2011, pp. 585–
590.
[60] N. Fai ield and D. We e g een, “E idence g id-based me hods o 3D
map ma ching,” in IEEE In e na ional Con e ence on Robo ics and
Au oma ion, 2009. ICRA ’09, May 2009, pp. 1637–1642.
[61] H. Yang and J. Chen, “Poin cloud da a enhancemen based on laye con-
nec ed egion,” in 2014 In e na ional Con e ence on Audio, Language
and Image P ocessing (ICALIP), Jul. 2014, pp. 600–604.
[62] A. Ch omy, P. Kocmano a, and L. Zalud, “C ea ing Th ee-Dimensional
compu e models using obo ic manipula o and lase scanne s,” in 12 h
IFAC Con e ence on P og ammable De ices and Embedded Sys ems
(2013), se . P og ammable de ices and sys ems. Velke Ka lo ice:
Else ie B.V., Sep. 2013, pp. 268–273. [Online]. A ailable: <h p:
//www.i ac-pape sonline.ne /De ailed/62529.h ml>
[63] C. Zhang and T. Chen, “E icien ea u e ex ac ion o 2D/3D objec s
in mesh ep esen a ion,” in 2001 In e na ional Con e ence on Image
P ocessing, 2001. P oceedings, ol. 3, 2001, pp. 935–938 ol.3.
[64] Mic o-Epsilon, “Ins uc ion manual scanCONTROL,” 2008. [Online].
A ailable: <h p://www.mic o-epsilon.cz/download/
manuals/man--scanCONTROL-2700--en.pd >
[65] Epson Robo s, “Epson c3 compac 6-Axis Robo Manual,” 2011.
[Online]. A ailable: <h p:// obo s.epson.com/admin/
uploads/p oduc _ca alog/ iles/EPSON_C3_Robo _
Manual(R7).pd >
[66] T. Jame son, “Unce ain y example using simple p opaga ion o unce -
ain y ules,” Aug. 2009.
[67] R. Palenca , F. Vdolecek, and M. Halaj, “Nejis o y me eni ii: nejis o y
p imych me eni,” Au oma, ol. 2001, no. 10, pp. 55–56, 2001.
[68] L. Zalud, L. Kopecny, F. Bu ian, and T. Flo ian, “CASSANDRA - he -
e ogeneous econnaissance obo ic sys em o dange ous en i onmen s,”
in 2011 IEEE/SICE In e na ional Symposium on Sys em In eg a ion, SII
2011, 2011, pp. 1275–1280.
[69] L. Nejdl, J. Kud , K. Cihalo a, D. Chudobo a, M. Zu ek, L. Zalud,
L. Kopecny, F. Bu ian, B. Ru kay-Nedecky, S. K izko a, M. Konecna,
D. Hynek, P. Kopel, J. P asek, V. Adam, and R. Kizek, “Remo e-
con olled obo ic pla o m ORPHEUS as a new ool o de ec ion o
bac e ia in he en i onmen ,” Elec opho esis, ol. 35, no. 16, pp. 2333–
2345, 2014.
[70] L. Zalud and P. Kocmano a, “Fusion o he mal imaging and CCD
came a-based da a o s e eo ision isual elep esence,” in 2013 IEEE
In e na ional Symposium on Sa e y, Secu i y, and Rescue Robo ics, SSRR
2013, 2013.
[71] P. Kocmano a, L. Zalud, and A. Ch omy, “3D p oximi y lase scanne
calib a ion,” in 2013 18 h In e na ional Con e ence on Me hods and
Models in Au oma ion and Robo ics (MMAR), Aug. 2013, pp. 742–747.