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HDM: an heterogeneous structures deformation mode

Abstract

The simulation of deformations on volumetric representations of heterogeneous structures has been little addressed in the litterature. It is however an important question with a wide range of applications, specially in fields such as Computer Assisted Medical Diagnosis and Care applications where the deformation of anatomical structures as a consequence of a pathology or of a trauma often need to be simulated. In this paper, the deformation of heterogeneous volume data sets is analyzed. A general method is proposed, enabling the simultaneous deformation of both the interior and the shape of various imbricated structures. The method supports different deformation models according to the particular hypothesis of each structure elastic behavior. Along with a discussion of the proposed strategy some simulation examples are presented.

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HDM: an heterogeneous structures deformation mode

Author: Bigordà, M,Tost Pardell, Daniela
Year: 1998
Source: https://upcommons.upc.edu/bitstream/2117/84363/1/R98-19.pdf
HDM: AN HETEROGENEOUS STRUCTURES
DEFORMATION MODEL
Mon se Bigo da Dani Tos
27 h Ma ch 1998
Keywo ds:
Volume de o ma ions - FFD - Medical Applica ions- Volume Da a
1 In o duc ion
In he las decade Compu e G aphics applica ions in medicine ha eg own due
o he ad ances o inpu echnologies such asMRAandCTwhich enable he
cons uc ion o h ee-dimensional ep esen a ion o ana omical s uc u es and
hei isualiza ion. Volume da a ep esen a ion schemes ha e b een s udied, pa -
icula ly he oxel mo del o egula inpu da a Kau90] and, o non- egula
da a se s, he e ahed al cell mo del CFM
+
94] along wi h mo e compac ep e-
sen a ions such as o c ees WG92], mul i e as, and equency domain ep esen-
a ions, as wa ele es Mu 93]. Ma jo a en ion has b een paid o he p oblems
o he accu acy o he ep esen a ions, hei memo y equi emen s and hei
adequacy o he isualiza ion. Howe e , hese mo dels a e gene ally s a ic: he
ep esen a ion o he emp o al e olu ion o olume da a, pa icula ly hei de-
o ma ion has b een less add essed.
Die en medical applica ions need he simula ion o de o ma ions o he shap e
o ana omical s uc u es. As an example, in oncological s udies, i is o en
necessa y o simula e o o p edic he g ow h o a umo whichmay p o duce
he de o ma ion o he su ounding s uc u es and he e o e p o oke seconda y
pa hologies. A pa icula case o his, a e he emb olisms caused by he s enosis
o a ce eb al essel due o he p essu e o a b ain umo . O he examples o
de o ma ions in medicine a e hose p o duced by ex e nal o ces, such as he
bis u i p essu e.
In his pap e , he p oblem o he de o ma ion o he e ogeneous olume da a
se s is analyzed. A gene al me ho d is p op osed, enabling he simul aneous de-
o ma ion o b o h he in e io and he shap e o a ious imb ica ed s uc u es.
The me ho d supp o s die en de o ma ion mo dels acco ding o he pa icu-
la hyp o hesis o each s uc u e elas ic b eha io . The pap e is s uc u ed in o
h ee sec ions:  s he p e ious wo k is e iewed, nex he p op osed me ho d
is desc ib ed and nally some simula ion examples a e discussed b e o e he con-
clusions.
1
2 Backg ound
2.1 P e ious wo k
Shap e de o ma ion consis s in he mo dica ion o ei he he geome y o he
op ology o a su ace. The e a e wo main de o ma ion b eha io s: elas ic ones,
which a e asso cia ed o geome ical mo dica ions, and non-elas ic ones, which
co esp ond o s uc u al changes such as ac u es. Mos o he de o ma ion li -
e a u e has o cused a shap es ep esen ed explici ly ei he as p olygonal meshes
o smo o h sculp u ed su aces, al hough, ecen ly, some pap e s add ess he de-
o ma ion o disc e e, oxel-based, su aces.
Su ace de o ma ion has b een mainly used o he ollowing pu p oses:

Simula ion o physically ealis ic de o ma ions such as hose p o duced by
ob jec s collisions and ma e ial hea ing and usion. TW88], KT91].

Smo o h su aces in e ac i e design by successi e de o ma ions o an ini ial
ough shap e SP86], Co q90], HHK92] and sculp u ing o disc e e su aces
in bina y oxel mo dels (GH91],WK95])

Anima ion o non- igid s uc u es, such as a icula ed o legged gu es
GVP91] and blobby mo dels (WMW86]).

Mo phing b e ween woshapes KCP92], BN92], CSB95] and mo phing
be ween wo olume da a se s Hug92], LGL95].

Segmen a ion o egions o in e es in 2D images and 3D olume da a
by successi e de o ma ions o a emp a i e cu e (snake) KWT88]o a
p olyhed al app oxima ion MBL
+
91](GW92]) o he shap e o he egion.

Ma ching b e ween wo geome ical o olume mo dels in o de , o ins ance,
o compa e he ana omy o a pa ien wi h a p e iously c ea ed ep esen-
a ion o an ana omical a las mo del (BK89]) o o ma ch wo die en
mo dali ies o egis a ion Da 97]

Recons uc ion o a bina y disc e e 3D mo del om a se o semi- anspa en
image p o jec ions o i (Mu 91]).
Shap e de o ma ion mo dels all in o h ee main ca ego ies: kinema ic, dynamic
and mo dula mo dels. The kinema ic mo dels enable o compu e he de o med
mo del on he basis o geome ical in o ma ion only, ypically byin e p ola ing
new p osi ions using a use -sp ecied subse o displacemen s. Two main die -
en kinema ic app oaches ha e b een published: he applica ion o non-linea
geome ical ans o ma ions such as b ending, ap e ing and wis ing (Ba 84],
CR94]and F ee-Fo m-De o ma ions (SP86]) along wi h hei nume ous ex-
ensions (Co q90], CJ91], HHK92]). Dynamical mo dels simula e physically
ealis ic b eha io s and mo del he de o ma ions p o duced by o ces and o ques
acco ding o physical laws o elas ici y and ma e ials esis ance TF88]. Mo du-
la mo dels, also called
laye ed
mo dels, a e based on a mul i-le el ep esen a ion
o he ob jec s: a  s simplied laye , o which dynamical de o ma ions can b e
applied, and a second laye , comp osed by he su ace o skin o he s uc u e
ied o he ke nel laye acco ding o kinema ic cons ain s GVP91].
2
2.2 S a emen o he p oblem
Mos o he p e iously ci ed de o ma ion mo dels a e
su ace-based
, i.e. hey
assume ha he ob jec s a e emp y and hey do no add ess he impac o he
su ace de o ma ion on hei in e nal s uc u e CEO
+
93]). This hyp o hesis,
alid in nume ous cases, is no longe accep able in many medical applica ions
whe e he eal b eha io o he ob jec s should b e simula ed. Se e al a emp s
ha e b een done o mo del he 3-D olume ic na u e o he ob jec s suchas
CEO
+
93] and BNC96] which gene alize o 3D he elas ic de o ma ion mo del,
using a 3D ni e elemen mesh, in o de o b e e simula e su gical cu s. How-
e e , hese mo dels assume ha he in e io o he ob jec s is homogeneous o ,
a leas , ha he p op e y alues in hei in e io emains unmo died unde
de o ma ion. In addi ion, he de o ma ion is applied o a single 3D ana omical
s uc u e mo del ex ac ed om medical images.
Ne e heless, ana omical egions a e comp osed o a ious homogeneous and he -
e ogeneous imb ica ed s uc u es. The su ace o an ana omical s uc u e canno
always b e de o med aside om he su ounding egions, b ecause i s de o ma ion
mayp o oke he de o ma ion o he ex e nal and he in e nal s uc u es as well.
Figu e 1 illus a es his idea. In gu e 1.a a mo del comp osed o wo- egions
is ep esen ed schema ically wi h wo die en ll-a ea pa e ns. The su ace
o he in e nal egion has b een iden ied. In gu e 1.b, his su ace has b een
de o med indep enden ly om he p op e y alues o he su ounding olume.
The eec p o duced is ha he b ounda y no longe encloses he ci cle-pa e n
egion. Figu e 1.c illus a es he desi able esul , in which he olume p op e ies
ha e b een mo died in acco dance o he su ace displacemen .
Figu e 1: In e ela ionship b e ween olume and su ace de o ma ions
He ein a gene al amewo k o he de o ma ion o olume mo dels is p op osed.
I s main ea u e is ha i is
hyb id
: i enables de o ma ions o b o h he su aces
and he olume. This is accomplished by p opaga ing he su aces displacemen s
o hei in e nal and o hei su ounding olume and he e o e, o he o he
emb edded s uc u e b ounda ies. This gene al amewo k is sui able o any
de o ma ion mo del, kinema ic as well as dynamic. He ein howe e , a sp ecic
de elopmen is analyzed, based on a kinema ic mo del wi h cons ain s. This
mo del will b e e e ed as HDM
(Hyb id De o ma ion Model)
in he es o he
pap e .
3
3 The Hyb id De o ma ion Mo del
3.1 Gene al amewo k
The pip eline o he p op osed amewo k is illus a ed in gu e 2. The ep e-
sen a ion mo del is a g ey-le el, he e ogeneous oxel mo del emb edding die en
egions co esp onding o a ious ana omical s uc u es: o gans, b ones e c. This
mo del is ob ained by egis a ion o da a using medical de ices suchasCTsand
MRs and by applying l e ing and segmen a ion p o cesses whiche en ually e-
mo e he noise o he inpu slices and enable he iden ica ion o he ana omical
egions. The b ounda y su aces o he s uc u es a e no ep esen ed explici ly
bu hey can b e ex ac ed om he oxel mo del ei he using a ma ching cub es
algo i hm o bycon ou ex ac ion and iling b e ween successi econ ou s. The
applica ion ecei es as an inpu a se o displacemen s o p oin s b elonging o he
su ace o one o mo e ana omical s uc u es in e io o he oxel mo del. These
inpu p oin s can b e ob ained in die en ways: hey can b e, o ins ance, he
co o dina es o an elec onical scalp el p essing he su ace o an o gan, o hey
can b e in e ac i ely sampled on he su ace o a umo con iguous o ana omical
s uc u es, whose de o ma ion is b eing s udied. Wi h hese inpu da a and he
o iginal mo del, he applica ion compu es he shap e de o ma ion and he esul -
ing mo dica ion o he p op e ies o he oxels inside and ou side he s uc u e.
The ou pu o he applica ion is a new g ey-le el oxel mo del emb edding he
de o med egions. This new mo del can b e manipula ed as he o iginal one, i.e.,
i can b e isualized, he de o med su aces o he inne egions can b e ex ac ed
om i , e c.
model oxel model De o ma ion
Voxel
displacemen s
Su ace poin s
De o med
oxel model
s uc u es
iden i ica ion
S uc u es Segmen ed
classi ied
Figu e 2: Pip eline o he p op osed me ho d
3.2 Desc ip ion o he me ho d
3.2.1 The da a
As men ioned ab o e, he disc e e ep esen a ion o he olume ic mo del b e o e
he de o ma ion,
V
,is a oxel mo del such ha :
V
=
ij k
j
p op
(
ij k
)=

ij k
g
(1)
whe e he oxel
ij k
is cha ac e ized by i s p op e y alues, o ins ance, i s
densi y

ij k
.
4
The die en egions, o ana omical s uc u es, inside he oxel mo del ha e
b een p e iously segmen ed in suchaway ha each egion has an unambiguous
p op e y alue ange.
1
. The egion su ace pass h ough he b ounda y oxels
cha ac e ized by a non-homogeneous neighb o ho o d. In addi ion o he classical
ans e unc ions which asso cia e o he die en p op e y anges opaci yand
colo alues, new ans e unc ions ha e b een designed which p o ide elas ical
p op e ies o each ange. These unc ions a e empi ical, based on he physicians
knowledge.
The inpu da a o he de o ma ion,
D
, a e pai s o homologous p oin s o he
egion su aces b e o e and a e he de o ma ion:
D
=
(
p
1
p
0
1
)
 :::
(
p
n
p
0
n
)
j8
i
=1
::n p
i
2
Sp
0
i
2
S
0
p
0
i
=
De o m
(
p
i
)
g
(2)
whe e
S
is he ini ial su ace s uc u e and
S
0
is he de o med su ace s uc u e.
3.2.2 The de o ma ion
The p op osed me ho d is comp osed o h ee consecu i e s eps, called
Iden ica-
ion
,
De o ma ion
and
Res uc u ing
.
A he  s s age, he su ace o in e es is iden ied inside he oxel mo del
V
.F om he inpu da a
D
o he desi ed de o ma ions and, applying a su ace
de o ma ion echnique, he de o ma ion s age de o ms he whole oxel mo del,
ob aining a non- egula la ice mo del. The es uc u ing s ep compu es a eg-
ula oxel mo del equi alen o he non- egula la ice mo del.
Eachs epmay b e p e o med acco ding die en s a egies. Nex a pa icu-
la implemen a ion o his pip eline is desc ib ed. Howe e , any o he su ace
iden ica ion and su ace de o ma ion could ha e b een applied as well.
Iden ica ion
As men ioned ab o e, he HDM de o ms b o h he su ace and
he olume. The e o e, b o h in o ma ion mus b e ep esen ed simul aneously
and p oin one o each o he . Thus, he equi emen o he su ace iden ica ion
is o c ea e a p olygonal mo del o he su ace, o which a su ace de o ma ion
mo del could b e applied, while p ese ing in o ma ion o he oxels o which he
su ace aces b elong.
The echnique mos used o ex ac a su ace om a oxel mo del, is he
Ma ching
Cubes
echnique LC87], which gi es an app oxima ion o he su ace as a se
o up o h ee p olygons inside each oxel, using ilinea in e p ola ions o he
p op e y alues o compu e he su ace e ices. The ma ching-cub es su ace
mo del is complex, made o many small aces, and i lo oses he in o ma ion o he
oxels o which he e ices b elong, unless sp ecic da a s uc u es a e designed
o keep his in o ma ion.
He ein, a simple app oxima ion o he su ace is used: he cub e ille mo del
UG93] which is comp osed o he b ounda y aces o he b ounda y oxels. Be o e
1
In MRA da a, ep esen ing ascula in o ma ion, his ange segmen a ion is no always
easible, as ascula s uc u es do no co esp ond o sp ecic anges bu o lo cal maxima. In
his case, he olume mo del is cons uc ed a e he segmen a ion using lab elling p op e y
alues ins ead o he o iginal da a.
5

he de o ma ion, his su ace is comp osed by iso he ic aces which a e pa allel
o he co o dina e planes. A e he de o ma ion, hese aces a e ob iously no
longe iso he ic. Al hough he su ace ep esen a ion is ough, i has a lowe
memo y equi emen han he ma ching cub es mo del, b ecause i needs o s o e
only one e ex p e oxel. Bounda y oxels and hei b ounda y aces can b e
compu ed on he y.
De o ma ion
The de o ma ion s age i sel p e o ms wo ela ed p o cesses: he compu a ion
o he displacemen s o he e ices o he oxels unde de o ma ion
su ace-
de o ma ion
and he compu a ion o he new p op e y alues o he de o med
oxels
olume de o ma ion
.
The su ace-de o ma ion implemen ed he ein is an ex ended kinema ic mo del
based on he
F ee-Fo m de o ma ion (FFD)
SP86] me ho d. I consis s o h ee
s eps:
1.- C ea ion o pa allelepip ed egula la ice enclosing he cub e ille su ace o
he whole ana omical s uc u e. A lo cal co o dina e sys em is asso cia ed o
his la ice, ha ing a e ex o he la ice
P
0
as he new o igin and b eing
he main di ec ions
S
,
T
,
U
pa allel o he la ice.
The e ices
V
ij k
o he la ice cells (
con ol poin s
) b e o e he de o ma ion
a e:
V
ij k
=
P
0
+
i
l
S
+
j
m
T
+
k
n
U
(3)
whe e l, m, n a e he numb e o sub di isions o he mesh in each di ec ion.
2.- Sp ecica ion o he de o ma ion in e ms o displacemen s o he con ol
p oin s o he la ice. As he inpu de o ma ions
D
a e p oin s o one o
mo e cub e ille su aces b eing de o med, he displacemen s o he con ol
p oin s should  s b e compu ed. This p oblem has b een add essed in
HHK92]. I equi es he compu a ion o he pseudo-in e se o a ma ix
o de i e he displacemen s o he con ol p oin s ha minimize he e o
be ween he sp ecied displacemen s and he ac ual de o ma ion using a
squa ed die ence e o me ics. As p oin ed ou in LWCS96], he pseudo-
in e se ma ix compu a ional cos is e y high when he numbe o poin s
ha should b e mo ed is la ge. The e o e, he p op osed me ho d uses he
app oacho LWCS96] which p o duces simila esul s o HHK92] wi hou
calcula ing he pseudo-in e se ma ix.
The in e ace o he p oin s de o ma ion sp ecica ion es ic s he ange o
he allowable displacemen s and gua an ees ha he FFD la ice is s ill
s uc u ed and ha i s cells do no au o-in e sec .
In addi ion, some simple dynamic cons ain s can b e aken in o accoun ,
p e en ing he e ices o some s uc u es in e io o he de o med cu-
b e ille su aces om b eing mo died. This enables, o ins ance, o de o m
s uc u es such as he skin while keeping he b one unmo died. In o de o
keep igid s uc u es, he closes la ice e ices enclosing hem a e xed
and again he in e ace p e en s he sp ecied de o ma ions o b eak he
egula s uc u e o he la ice.
6
3.- Compu a ion o he displacemen s o he e ices o he cub e ille su -
ace and o he e ices o he inne s uc u e oxels. All he e ices
a e de o med excep hose b elonging o igid s uc u es. The egula de-
o ma ion o a e ex is compu ed acco ding o he o mula p op osed in
SP86]:
P
d
=
l
X
i
=0

l
i

(1
;
s
)
l
;
i
s
i
2
4
m
X
j
=0

m
j

(1
;
)
m
;
j
j
"
n
X
k
=0

n
k

(1
;
u
)
n
;
k
u
k
V
ij k
#
3
5
(4)
The olume de o ma ion consis s o compu ing he p op e y alues o he de-
o med oxels. The olume is conside ed as an he e ogeneous se o a ious
s uc u es which a e hemsel es homogeneous b e o e and a e he de o ma ion.
Rigid s uc u e oxels emain unmo died, whe eas oxels in e io o de o med
shap es ha eacons an mo died alue. In he de o ma ion, he olume o he
s uc u es ei he inc eases, dec eases o emains cons an . The densi y compu-
a ion is based on he hyp o hesis ha he ma e quan i y emains cons an
h ough de o ma ion and hus, he changes in he densi y alues a e p op o -
ional o he mo dica ion o he olumes. Finally, as a esul o he de o ma ion
s age a non- egula de o med la ice mo del is ob ained.
Res uc u ing
A his p oin o he pip eline, he o iginal oxel mo del has b een de o med and i is
now non- egula al hough i is s ill s uc u ed and op ologically equi alen o i s
ini ial shap e. The es uc u ing s age allows o egula ize i , while keeping he
de o ma ions o he inne s uc u es. This s age is hus essen ially equi alen
o a e- oxeliza ion Han90], al hough, by opp osi e o o he e- oxeliza ions
p o duced by ane ans o ma ions such as o a ions o he olume i has o
deal wi h a non-ane ans o ma ion.
The equi alen egula oxel mo del is compu ed as he same esolu ion as he
o iginal one. Howe e i may b e compu ed a any esolu ion as well. The
es uc u ing s age consis s hus in a scanning he egula oxel mo del and
compu ing o each oxel which oxels o he de o med mo del ha e a non-ze o
in e sec ion wi h i .
I should b e no iced ha a oxel o he la ice mo del can co esp ond o one o
mo e oxels in he oxel mo del. I he co esp ondence is unique, he egula
oxel p op e y is simply se o he de o med oxel p op e y.Howe e i mo e
han one de o med oxel in e sec s he egula one, hei esp ec i e p op e y
alue a e weigh ed and accumula ed (see gu e 3).
4 Simula ions and esul s
Colo Pla es 1 o 8 show he esul s o a 2D p o o yp e simula ion o he de o -
ma ion mo del. Being a 2D, i would b e mo e p op e o alk in e ms o pixels
7
Figu e 3: Res uc u ing
a he han oxels, howe e , o cohe ence wi h he es o he pap e , he e m
oxel has b een p e e ed.
In Colo Pla e 1 he o iginal image da a o a CT scan o a head a e isualized.
Two cub e ille su aces a e iden ied in he image: he ex e nal su ace o he
b ain and he su ace o a umo , depic ed in blue and ed esp ec i ely in Colo
Pla e 2. The elas ic b eha io o b o h su aces is conside ed iden ical.
The FFD ne compu ed as he b ounding b ox o he whole ob jec is shown in
Colo Pla e 3. F om sp ecied alues o displacemen s o se e al p oin s o he
b ain su ace, he de o ma ion o he con ol e ices o he FFD a e compu ed
and ep esen ed in Colo Pla e 4.
Colo Pla e 5 shows he esul s o he de o ma ion on he olume. In o de o
allow a b e e unde s anding o he image,
mac o-pixels
o 10x10 a e ep esen ed.
I can b e obse ed ha he o iginal oxel mo del is no longe iso he ic. The
de o med cells b eha e as closed compa men s which
d ag
he ma e inside
hem in hei de o ma ion. The colo o he cells changes acco ding o he
mo dica ion o he densi y alue inside he cell. The new densi y is compu ed
as he p e ious alue o densi ymul iplied by he a ion b e ween he p e ious
oxel a ea and he new oxel a ea. The de o ma ion has b een applied only a
he oxels which a e inside and on he cub e ille su ace o he b ain. Being
inside he b ain, he umo is also de o med. Colo Pla e 6 shows he olume
once he es uc u ing s ep has b een p e o med. The gene al asp ec o he image
is qui e simila o Colo Pla e 5. Howe e he oxels a e now pa allel o he
co o dina e axis. The oxels which all comple ely inside a de o med s uc u e
a e conside ed homogeneous and he e o e hey a e no mo died. The oxels
which exhibi die ences wi h Colo Pla e 5 a e hose ha in e sec he su ace,
b ecause hei alue is compu ed as a weigh ed a e age o he de o med oxels
whichco e hem.
Finally Colo Pla es 7 and 8 show a mo e complex de o ma ion.
5 Conclusions and u u e ends
A gene al amewo k o he 3D de o ma ion o mul iple s uc u es ep esen ed
implici ly in a olume ic oxel mo del has b een p op osed. The mo del is hyb id
in he sense ha i enables he de o ma ion o a su ace inside he olume
8
mo del and he mo dica ion o he in e nal p op e y alues as a esul o he
comp ession o expansion o he de o med su ace. The su ounding olume is
also mo died in ela ion o he de o ma ion.
A  s kinema ic p o o yp e implemen a ion o he mo del on 2D images, based
on he use o FFD has b een desc ib ed. The esul s o he simula ions a e
encou aging and make i necessa y o implemen he h ee-dimensional e sion
o he mo del. This implemen a ion is cu en ly b eing done.
The in eg a ion o dynamic cons ain s o he mo del is ano he esea ch line
unde p og ess. Up o know only homogeneous and igid b eha io a e allowed.
The use o he ue elas ic p op e ies should b e enabled. Non-homogeneous
p opaga ion o he de o ma ion hough he olumes p op e ies should also b e
s udied.
Finally, a u u e ex ension o he me ho d is i s applica ion a die en le els o
esolu ion o he oxel s uc u e, enabling highe p ecision in zones o in e es s
and coa se de o ma ion in a eas o less ele ance.
Re e ences
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ACM
Compu e G aphics
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BK89] R. Ba jcsy and S. Ko acic. Mul i esolu ion elas ic ma ching.
Com-
pu e Vision, G aphics and Image P ocessing
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BN92] T. Beie and S. Neely.Fea u e-based image me amo phosis.
ACM
Compu e G aphics
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BNC96] M. B o-Nielsen and S. Co in. Real- ime olume ic de o mable mo d-
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Eu og aphics96
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CEO
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93] S.A. Co e , N.F. Ezque a, J. O'B ien, R.Rowe, T.Gadacz, and
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simplicial complexes.
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