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Planar and cylindrical active microwave temperature imaging: numerical simulations

Abstract

A comparative study at 2.45 GHz concerning both measurement and reconstruction parameters for planar and cylindrical configurations is presented. For the sake of comparison, a numerical model consisting of two nonconcentric cylinders is considered and reconstructed using both geometries from simulated experimental data. The scattered fields and reconstructed images permit extraction of very useful information about dynamic range, sensitivity, resolution, and quantitative image accuracy for the choice of the configuration in a particular application. Both geometries can measure forward and backward scattered fields. The backscattering measurement improves the image resolution and reconstruction in lossy mediums, but, on the other hand, has several dynamic range difficulties. This tradeoff between forward only and forward-backward field measurement is analyzed. As differential temperature imaging is a weakly scattering problem, Born approximation algorithms can be used. The simplicity of Born reconstruction algorithms and the use of FFT make them very attractive for real-time biomedical imaging systems.

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Planar and cylindrical active microwave temperature imaging: numerical simulations

Author: Rius Casals, Juan Manuel,Pichot du Mezeray, Christian Yves Dominique,Jofre Roca, Lluís,Bolomey, J. C. (Jean-Charles),Joachimowicz, N.,Broquetas Ibars, Antoni,Ferrando Bataller, Miguel
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Year: 1992
Source: https://upcommons.upc.edu/bitstream/2117/1762/4/Planar.pdf
IEEE
TRANSACTIONS ON
MEDICAL IMAGING, VOL.
11.
NO.
1,
DECEMBER
1992
457
Plana and Cylind ical Ac i e Mic owa e
Tempe a u e Imaging: Nume ical
Simula ions
J.
M.
Rius,
S uden
Membe , IEEE,
C.
Picho ,
L.
Jo e,
Membe , IEEE,
J.
C.
Bolomey,
N.
Joachimowicz,
A.
B oque as,
Membe , IEEE,
and
M.
Fe ando,
Membe , IEEE
Abs uc -
Ac i e mic owa e imaging sys ems o biomedical
appli ca ions ha e been gaining a en ion in ecen yea s. The need
o i de nal s uc u e in o ma ion imposes he use o di ac ion
omog aphy app oaches.
Two
di e en geome ies, plana and
cylinci ical, ha e been used o his pu pose. In his pape
we p esen a compa a i e s udy a
2.45
GHz
conce ning bo h
measw emen and econs uc ion pa ame e s o he wo con igu-
a ions. Fo he sake o compa ison, a nume ical model consis ing
o w 3 nonconcen ic cylinde s is conside ed and econs uc ed
using bo h geome ies om simula ed expe imen al da a. The
sca e ed ields and econs uc ed images allow o ex ac e y
use ul in o ma ion abou dynamic ange, sensi i i y, esolu ion
and quan i a i e image accu acy o he choice o he con igu a-
ion ,in a pa icula applica ion.
Th l geome ies chosen a e plana and cylind ical a ay con-
igu ai ions. Bo h geome ies can measu e o wa d and backwa d
sca e ed ields. The backsca e ing measu emen imp o es he
image esolu ion and econs uc ion in lossy mediums, bu , on he
o he hmd, has se e al dynamic ange di icul ies. This adeo
be ween only o wa d and o wa d-backwa d ield measu emen
is analyzed using a plana a ay o o wa d sca e ing and a
cylind icaE one o o wa d-backwa d.
As
di e en ial empe a u e imaging is a weakly sca e ing
p oblem, Bo n app oxima ion algo i hms can be used. The sim-
plici y o Ba n econs uc ion algo i hms and he use o FFT
make hem e y a ac i e o eal- ime biomedical imaging
sys ems
[19].
I.
INTRODUCTION
IFFERENT ypes o adia ion a e ac ually used o non
D
in asi e es ing o biological bodies. Each o hem has i s
own speci ic a ibu es, and he econs uc ed image depends
on he way in which he adia ion in e ac s wi h ma e
[l]
The mic owa e egion o he elec omagne ic spec um o -
e s he access o an in o ma ion which is ela ed
o
he elec ic
p ope ies o he ma e . These p ope ies, usually exp essed as
Manusc ip ecei ed Deembe
3,
1990;
e ised Ap il 27, 1992. This wo k
was suppo ed by CAICYT (Spanish Commi ee o Scien i ic and Technical
Resea ch unde G an
116S-84),
FISS (Spanish Na ional Ins i u e o Heal h
unde G an 84/21 12), Spanish-F ench Coope a ion P og am (G an 301135)
and Spanish-B i ish Coope a ion P og am (G an 171173). This wo k was
also
suppo ed by he Eu opean Commission
o
he
CEE
in he ame
o he Collabo a ion COMAC-BME P ojec “Op imiza ion
o
Hype he mia
Technology and Assessmen
o
Clinical E icacy in T ea men
o
Cance .”
J.M. Rius,
L.
Jo e, A. B oque as,
and
M. Fe ando a e wi h E.T.S.E.
Telecommunicaci6, Uni e si a Poli kcnica de Ca alunya, Apdo. co eos
30002,
08080
Ba celona, Spain.
C. Picho , J. C. Bolomey, and N. Joachimowicz, a e wi h Labo a oi e des
Signaux e Sys emes (CNRSIESE), Ecole SupC ieu e d’Elec ici e, Pla eau de
Moulon, F91192 Gi -su -Y e e Cedex, Pa is, F ance.
IEEE Log Numbe 9202263.
a complex pe mi i i y (pe mi i i y and conduc i i y), ansla e
in mac oscopic e ms he ine s uc u e o he issues a
he molecula le el, and he e o e depend on i s physical o
physiological ac o s as well as he in e oga ion equency
[2].
The mic owa e p opaga ion in biological issues shows
some speci ic p ope ies.
-The a enua ion is high, in pa icula o he issues wi h
a high wa e con en as muscles, li e , kidney. Howe e , so
issues such as a , lungs and bones p esen lowe mic owa e
abso p ion
[3].
I
is in hose so issues whe e ul asound
ene gy su e s he g ea es a enua ion.
-A he same equency, he wa eleng h in he issues a e
educed up
o
eigh imes compa ed
o
he ai
[4].
-Unlike X- ay imaging, whe e he wa eleng h is e y
small as compa ed
o
he magni ude o in e es ing objec
de ails, o mic owa es, e ec s o wa e p opaga ion can
no
be explained in e ms o ays, and di ac ion e ec s ha e
o
be conside ed
[5].
Ac i e mic owa e imaging sys ems ha e no been de el-
oped o use in biosys ems due
o
a numbe o appa en
limi a ions ela ed wi h he esolu ion and pene a ion.
Al-
hough he e was a i s a emp a he beginning o he
70’s [6],
in ac hey we e he i s expe imen s o La sen and Jacobi
[7],
[8],
a he end o he decade, ha show he po en iali y o he
me hod. The basic p inciple employed consis s o imme sing
he a ge in wa e and wo king in he lowe egion o he
mic owa e spec um
(1-10
GHz.).
The mos signi ican poin s
o he p ocedu e a e he ollowing.
a) Wa e , being a medium wi h dielec ic cons an close
o
hose o human body, imp o es he coupling and pene a ion
o he elec omagne ic adia ion in o he body.
b) The esolu ion o di ac ion-limi ed imaging sys ems is
de e mined by he wa eleng h o he in e oga ion adia ion.
When ope a ing in wa e , wi h a ela i e pe mi i i y close
o
75,
he e is a con ac ion in wa eleng h and he e o e in
esolu ion close
o
9.
c) The high a enua ion o wa e a hese equencies a oids
he mul ipa h p opaga ion ex e nal
o
he in e oga ed body.
Wa e is no he only possible ma ching medium. Fo
ins ance, a issues could be be e ma ched using lowe
pe mi i i y liquids
[9].
The choice he ope a ing equency is a adeo be ween
esolu ion and dep h o pene a ion. The equi emen o pen-
e a ion wi h deep-lying o gans a gues o a lowe equency
0278-0062/92$(13.00
0
19’92
IEEE
458
IEEE
TRANSACTIONS
ON
MEDICAL IMAGING,
VOL.
1
I,
NO.
4,
DECEMBER
1992
o
ope a ion. In con as , di ac ion-limi ed imaging sys ems
equi e high ope a ing equencies o enhanced esolu ion.
The
1
o
6
GHz egion appea o be op imum o mic owa e
imaging o he human body [lo].
The i s s udies we e de o ed o p ojec ion imaging
[7],
[
111,
[
121. Bu , apidly, omog aphic econs uc ion p ocesses
we e conside ed. A i s app oach
(131,
close o X- ays
CAT, ailed o s ongly inhomogeneous media. Howe e , he
di ac ion e ec s ha e o be aken in o accoun [14],
[15]
in
o de
o
ob ain good quali y images.
The
use
o mic owa e adia ion in imaging biological
s uc u es has been gaining a en ion ecen ly. The in e es ely
on i s low cos and low complexi y echnology, as well as in i s
capaci y o disc imina e di e en issues (pe mi i i ies anges
om
5
o
50,
compa ed o he ew pe cen o densi ies in
so issues) and o de ec physiological changes,
as
solu e
concen a ion, pe usion, blood low a e and empe a u e
[
161-[19]. Mo eo e , he pho on ene gy o mic owa es is
su icien ly low o p e en any ioniza ion o occu in biological
issue a o dina y in ensi y le els.
The illumina ion and measu emen geome y depend on
he pa icula applica ion and on he echnology a ailable.
In his pape , by using a compu e model, we compa e he
mos signi ican pa ame e s o he wo basic con igu a ions
ha ha e mainly been used in ac i e mic owa e imaging: he
plana geome y
[18]
and he cylind ical geome y
[20].
The
model consis s o wo nonconcen ic cylinde s wi h di e en
pe mi i i y alues, simula ing a gene al biological body.
Sec ion
I1
ou lines he basics o he o mula ion o he wo
geome ies.
An
e o has been made ying o enhance he
common s eps o bo h solu ions.
The hi d sec ion is de o ed o compa e he di e en mea-
su emen and econs uc ion pa ame e s o he wo geome ies
on he basis o a common simula ed s uc u e.
11.
TOMOGRAPHIC FORMULATION
Imaging echniques consis o illumina ing he objec wi h
an inciden adia ion, measu ing he di ac ed ields, and
ob aining an image o he dis ibu ion o he p ope ies
o
he
objec in e ac ing wi h he illumina ing ene gy. Two kinds
o
mic owa e omog aphic sys ems will be o mula ed, di e ing
on he geome y o inciden wa e and he measu emen
an enna.
Tomog aphy wi h di ac ing ene gy, such as mic owa es,
mus
be modelled wi h a second-o de linea di e en ial
equa ion, he inhomogeneous wa e equa ion, which desc ibes
he elec omagne ic ield dis ibu ion in he objec o be
imaged. Since compu ing he objec image om he sca e ed
ield measu emen s is an ex emely di icul p oblem o sol e,
a i s -o de app oxima ion has o be used,
so
ha only weakly
sca e ing objec s can be econs uc ed wi h easonable e o .
When inciden adia ion is concen a ed
on
a slice o he
objec , and wi h objec slowly a ying in he hi d dimension,
a bidimensional model can be used: dielec ic objec s and
elec omagne ic ields will be assumed o ha e p ope ies
a ying only o e he
2-y
plane c oss sec ion. Using e ically
pola ized an ennas in he z-axis di ec ion, all elec ic ield and
cu en ec o s will be z-di ec ed, and acco dingly we can use
scala ield equa ions. The wo dimensional model is alid
only i he objec is ac ually uni o m in he z-di ec ion inside
he slice in which illumina ing ene gy is concen a ed. The
econs uc ed objec will be he
(T.
y)
image o his slice.
A.
Spec al
Fo niula ion
o
Di ac ion P oblems
The physical p ope ies o he objec which in e ac wi h
mic owa e adia ion a e he elec ical pe mi i i y and con-
-
duc i i y. Since di ac ion heo y is based on cohe en iel.ds,
phaso o mula ion o ields and cu en s will be used wi h he
ime dependence
pJw .
Complex pe mi i i y and wa enumbe a e hen de in ed as
ollows:
-complex dielec ic pe mi i i y o he objec unde . es :
-complex dielec ic pe mi i i y o ex e nal medium:
-complex wa enumbe in he ex e nal medium:
=
wm,
whe e
po
is he acuum magne ic pe meabili y.
Le
E(?')
ep esen he o al elec ic ield and
E'(
F)
he
inciden ield, ha is
o
say, he ield in he absence
o
he
objec . The sca e ed ield is de ined as
4.');
0(F);
ES(F)
=
E(?')
-
I?(?')
1)
and can be conside ed as he ield gene a ed by he eqni alen
elec ic cu en adia ing in he ex e nal medium:
whe e
G(F-
7)
is he G een's unc im, and
(3)
he equi alen induced elec ic cu en .
en is de ined h ough he equa ion
The bidimensional Fou ie ans o m o he :qui alen cu -
(4)
I
he objec complex pe mi i i y
is
dose
o
ha o he
su ounding medium, he sca e ed ield is negligible in on o
he inciden one (weak sca e ing) and he Bo n app oxima ion
can be applied:
(F)
N
€0
--
E(?')
N
I?(?).
(5)
When he objec is illumina ed by a plane wa e inciden a
an angle
00,
using a uni ec o
00
in his di ec ion, we ha e
(6)
E";)
=
e-3Ko&
7.
Equa ion (4), e alua ed a
I
I?
I
=
KO,
can be exp essed as:
ql')
=
-jw oC
-(
I?
-
K0ijO
11-1
K
=
K"
(7)
RlUS
e
U/.:
MICROWAVE TEMPERATURE IMAGING: NUMERICAL SIMULATIONS
459
Fig.
1.
Fou ie domain o an inciden plane wa e.
Unde
Bo n app oxima-
ion, he bidimensional Fou ie ans o m o he con as p o ile is ob ained
in he Fou ie domain o e a ci cum e ence shi cd
on
he di ec ion opposi e
o he inciden
plane
wa e.
whe e
C(g
-
Kndo)
FT[C(F)]
C(~) 'I(I;.---oH ,)
i(jF
K
=
KO
(8)
=U
1-1
is he bidimensional Fou ie ans o m o he con as p o ile
de ined
as
(F)
C(F)
=
1
-
~
0
(9)
e alua ed o e ci cum e ences o adius
Kc,
and cen e
-KoHo
in
he Fou ie space (Fig.
1).
When he su ounding medium is lossy, he wa enumbe
KO
is complex, and he Fou ie ans o m becomes a Laplace
one. Howe e , in o de o use he
FFT
algo i hm he complex
wa enumbe mus be app oxima ed by i s eal pa . This
in oduces an a enua ion o he highe spa ial equencies,
which p oduces "high- equency" noise in he econs uc ed
image.
Fo
ha eason, some low-pass il e ing o he econ-
s uc ed image is necessa y when backsca e ing in o ma ion
is p ocessed, because
i
is associa ed o he highe spa ial
equencies in he objec spec um.
As
he bidimensiona: Fou ie ans o m
o
he equi alen
cu en e alua ed a
I
K
I=
KO
can be easily ob ained om
sca e ed ield measu emen s, he con as p o ile
o
a
weakly
sca e ing objec will be econs uc ed h ough
(7).
The econs uc ion
(7)
gi es in o ma ion o he
2-D
Fou ie
ans o m o he con as p o ile only o e
a
ci cum e ence
shi ed in di ec ion opposi e
o
he p opaga ion o he inciden
ield. Thus, di e en di ec ions o incidence mus be consid-
e ed in o de o ob ain a bidimensional sampling inside a ci cle
in he spec al domain (Fig.
2).
Acco dingly, he econs uc ed
Fig.
2.
Mul i iew Fou ie domain.
I
mul iple iews a e aken o di e en
di ec ions
o
illumina ion, he bidimensional Fou ie ans o m o he con as
p o ile can be ob ained inside a ci cle o adius
21io
cen e ed a he o igin
o he Fou ie domain
inciden
plane
wa e
Fig.
3.
Plana sys em measu emen geome y ( ansmisison con igu a ion).
On
plana geome y sys ems, he objec is illumina ed by a plane wa e and
he sca e ed ield
is
measu ed along a p obing line pa allel o he inciden
wa e on . I ano he p obing line is loca ed a
-,I,",
bo h o wa d and
backsca e ed ields can he measu ed.
con as p o ile ob ained h ough in e sion o
C(k)
will be
a
low-pass
il e ed e sion o he o iginal one.
R.
Plana
Geome y
A omog aphic sys em wi h plana geome y
uses
a plane
wa e inciden ield
Ei
(80;
F)
p opaga ing on di ec ion
00,
o
simplici y
Ho
=
Oo,
and he o al ield
E(z,.y)
is measu ed
along he line
z
=
icg
pa allel
o
he inciden wa e on
(Fig.
3).
Mechanical o a ion o he objec a ound z-axis
p o ides di e en di ec ions o incidence ela i e
o
he objec .
The Fou ie ans o m o he equi alen cu en can be
ob ained om he measu ed o al ield h ough he Fou ie
ans o m o
(2)
along y-di ec ion. A e some manipula ion,
see
[
181,
he ollowing exp ession can be ob ained:
E"(: ;o.
K,y)
=
-jw,aoG(
J-)
,'(
JW,
K,)
(10)
460
IEEE
TRANSACTIONS
ON
MEDICAL
IMAGING,
VOL.
1
I,
NO.
4,
DECEMBER
1992
whe e
i”(Ky)
and a e he angula spec um
o he sca e ed ield and he G een’s unc ion, espec i ely,
Ula)
(1lb)
being
K,
and
Ky
he Ca esian componen s o he eal
app oxima ion o he p opaga ion ec o ela ed o each o
he plane wa e componen s o he angula spec um
I?
=
(K,.K,)
K,
=
KocosQ
K,
KO
sin
0.
Unde Bo n app oxima ion, he 2-D Fou ie ans o m o
he con as p o ile is ob ained h ough
(7),
(lo), and (11):
When he plana omog aphic sys em measu es only he
o wa d sca e ed ield h ough he objec , only he componen s
o he angula spec um o he sca e ed ield p opaga ing
owa ds posi i e
z(Kx
>
0)
a i e a he measu e line. These
spec al componen s a e associa ed
o
he igh hal o he
ci cle
(K,
>
0)
in he spec al domain (Fig.
4).
Thus, o a ion
o he objec p o ides he 2-D Fou ie ans o m o he con as
p o ile inside o ci cle o adius
iK0
(Fig.
5)
[18],
[19].
I
ano he p obing line is loca ed a
-20
(Fig.
3),
bo h o wa d
and backsca e ed ields can be measu ed. In his case, which
is no analyzed in his pape , o a ion
o
he objec p o ides
2-D Fou ie ans o m o he con as p o ile inside a ci cle
o adius
2K0
as indica ed in Fig.
2.
The simplici y o he
econs uc ion algo i hm and he use o
FFT
make
i
e y
a ac i e o eal- ime imaging sys ems
[
191.
I
4-
-KoOo
Fig.
4.
Fou ie domain o
1
iew plana sys em. I only o wa d sca e ed
ield is measu ed on plana geome y sys ems, he bidimensional Fou ie
ans o m o he con as p o ile is ob ained only o e hal o he shi ed ci -
cum e ences. I backsca e ed ield is also measu ed, he whole ci cum e ence
is ob ained.
-JZK
C.
Cylind ical
Geome y
In cylind ical omog aphic sys ems he measu emen is pe -
o med no by a s aigh line, bu by a ci cula a ay o iso opic
an ennas (Fig.
6).
Di e en di ec ions o illumina ion can be
achie ed by ansmi ing wi h each one o he omnidi ec ional
elemen s,
so
ha mechanical o a ion o he objec is a oided.
Al hough he inciden ield is no a plane wa e, bu a
cylind ical one, and he measu e an enna is a ci cula a ay, he
spec al o mula ion de eloped o plana geome y imaging
sys ems can be applied i a syn he ic ape u e app oach is
made.
As
he ci cula a ay can measu e, in p inciple, bo h he
o wa d and backwa d sca e ed ield, he Fou ie ans o m
o
he con as p o ile is ob ained o e he en i e shi ed ci cle
in he spec al domain, and be e esolu ion is achie ed wi h
o wa d-backsca e ing algo i hms due
o
a less igo ous low-
pass il e ing han wi h o wa d sca e ing sys ems. Howe e ,
in p ac ice, backsca e ed ields a e di icul
o
measu e nea
Fig.
5.
Fou ie domain o
8
iew ansmission plana sys em. When mul i-
ple iews a e aken on a ansmission plana geome y sys em, he bidimen-
sional Fou ie ans o m
o
he con as p o ile
is
ob ained inside a ci cle o
adius
&lio
ins ead o
21;”.
he ansmi ing elemen , and esolu ion is no as good as
heo e ically expec ed.
Using a ecip oci y heo em o mula ion, he bidimensional
Fou ie ans o m o he equi alen cu en can be easily
ob ained om he sca e ed ield measu ed along an a bi a ily
shaped cylind ical an enna, p o iding ha plane wa es in any
di ec ion can be syn hesized by cu en s on he ecei ing
an enna, ac ing as ansmi e . The ecip oci y heo em s a es
ha
RIUS
e
al.:
MICROWAVE
TEMPERATURE
IMAGING: NUMERICAL
SIMULATIONS
~
46
1
Y
ecei e
ansmi e '
e&
Fig.
6.
Cylind ical geome y sys em.
Fo
cylind ical geome y sys ems, he
measu emen
is
achie ed wi h a ci cula a ay
o
omnidi ec ional an ennas.
Di e en di ec ions
o
illumina ion can
be
achie ed
by
ansmi ing wi h each
one
o
he omnidi ec ional elemen s.
whe e and
51
a e he elec ic cu en s exis ing in olumes
71,
and
'ub,
which adia 2elec ic ields and
,!?h,
espec i ely.
I we assume ha
Jh
is he elec ic equi alen cu en; in
he objec , induced by he inciden ield
E'
(e
Ho),
and
J,,
is
he elec ic cu en on he an enna ac ing as ansmi e ha
adia es a plane wa e izld p opaga ing along he uni Xec o
8,
hen we ha e ha
-7,
adia es he sca e ed ield
E"(?),
which is measu ed along he an enna, and ha
.xL
adia es he
ield
e-3~oo.~.
F om (3) and (9) we ge
subs i u ing
unde Bo n app oxima ion
in (13), and conside ing
(7)
and (8), we ob ain
C(Ko(8
-
Fo a ci cula an enna o adius
R,
cen e ed in he
:E-y
plane,
(15) can be exp essed as
C(K"(Q
-
whe e
1(0
-
a)
is he ampli ude o he cu en dis ibu ion
a angula posi ion
0
along he an enna, ha , when ac ing
as ansmi e , adia es
inside
he
sou ce
ing
a plane wa e
p opaga ing a an angle
0
in he di ec ion
8
When he inciden ield is a cylind ical wa e, we can expand
he plane wa e
E'(<
0")
as a supe posi ion o cylind ical
wa es
E'(<
a")
gene a ed by line sou ces
I(&
-
00)
loca ed
as posi ions
00
along he ci cula an enna. Then i ollows ha
Ez
(<
8,)
=
1
I(&
-
a")E'(( ';
0o)R
dao
(18)
and he e o e he ield sca e ed om an inciden plane wa e,
measu ed along he ci cula an enna can be exp essed as
E"(c ;&)
=
i
I(&
-
ao)E"(c~:o~)Rdc~
2.
2T
(19)
whe e
E"(a;
00)
is he sca e ed ield measu ed a posi ion
c ,
gene a ed by an inciden cylind ical wa e p oduced by a uni
sou ce loca ed a posi ion
00
(Fig.
5).
Finally, om
(16)
and
(19)
we ob ain
.
1(0
-
a)I(0o
-
00)
d0dao.
(20)
Equa ion (20) has he ollowing physical in e p e a ion:
E"(0:
00)
is con ol ed wi h he cu en ha , exis ing along
a ci cula a ay, gene a es a plane wa e. This con olu ion
ans o ms he ci cula geome y in o a Ca esian one, o
bo h ansmi e and ecei e a iables
o
and
00.
As
wi h
plana con igu a ion algo i hm, his equa ion can be easily
implemen ed by means o Fas Fou ie T ans o ms (FFT),
which allows eal- ime econs uc ions
[
191, [20]. Fu he
in o ma ion abou he algo i hm heo y and implemen a ion
can be ound in [21].
111.
NUMERICAL
RESULTS
This sec ion compa es he ela i e pe o mance o he
o wa d and o wa d-backsca e ing measu emen using, e-
spec i ely, plana and cylind ical geome y econs uc ion
algo i hms. The sca e ed ields ha e been compu ed in bo h
cases by momen me hod, sol ing he linea sys em o equa-
ions by conjuga e-g adien i e a i e algo i hm.
The so wa e used
o
compu e sca e ed ields, o bo h
geome ies, and o econs uc he objec image o plana
geome y ha e been de eloped a Labo a o ie des Signaux
e Sys kmes, Ecole SupC ieu e d'Elec ici C, Gi -su -Y e e,
while he cylind ical geome y econs uc ion p og am has
been de eloped a
AMR
g oup, Depa men o Signal Theo y
and Communica ions, Poly echnic Uni e si y o Ca alonia,
Ba celona.
Pos p ocessing algo i hms ha e been applied o imp o e
image quali y when necessa y.
-Ge chbe g-Papoulis algo i hm has been applied o plana
geome y econs uc ions when he numbe o iews is small.
-Cylind ical geome y econs uc ions mus be low-pass
il e ed in o de o emo e high- equency noise due o
backsca e ed ield measu emen s.
A.
Nume ical Model
One o he possible applica ions o mic owa e omog aphy
conce ns medical imaging.
As
human body is composed
mainly o wa e , and he complex dielec ic pe mi i i y o

462
IEEE TRANSACTIONS ON MEDICAL IMAGING,
VOL.
1
I,
NO.
4,
DECEMBER
1992
5
cm
-
SCATTERED
FIELD
>
X
Fig.
7.
Simula ed model o biological objec . Fo compu e simula ion
pu pose, a e y ough biological objec
is
modeled
by
a ci cula egion
o
wa e
o
adius
4
cm a
37OC
imme sed in wa e a
25OC.
A
local empe a u e
change inside he body
is
simula ed by a sma!le . nonconcen ic cylinde
o
wa e
o
adius
1
cm a
38OC
o
41OC.
TABLE
I
Complex pe mi i i y and con as p o ile
o
wa e
Complex pe mi i i y Con as p o ilc
(2.jo)
=
77.27
-
,j9.29
~(37")
=
73.49
-
jG.35
~(38")
=
73.13
-
,jG.35
~(41")
=
72.34
-
j.j.88
IC(2Y)J
=
0
(C(37")I
=
0.0591
lC'(3s")I
=
0.OG4G
IC(4l")i
=
0.07G5
wa e a ies linea ly wi h empe a u e, empe a u e a ia ions
inside human body can be de ec ed and localized. This sug-
ges s an applica ion
o
hype he mia moni o ing and umo
de ec ion.
A
comple e se o compu e simula ions has been pe o med
o
es he capabili y
o
bo h algo i hms
o
de ec localized
empe a u e a ia ions inside wa e .
A
e y ough biological
objec is modelled by a ci cula egion
o
wa e a 37°C
imme sed in wa e a 25°C.
A
local empe a u e change inside
he body is simula ed by a smalle , nonconcen ic, cylinde o
wa e a 38°C o 41°C (Fig. 7). We ha e used an ope a ing
equency o 2.45 GHz
[19],
[20],
wi h a wa eleng h o
1.39
cm in wa e a 25"C, which is a good adeo be ween
a enua ion and esolu ion.
1)
Model Pa ame e s:
Ou model is a weakly sca e ing
objec , because
i s
con as p o ile is low and i s dimension
no
oo
la ge compa ed o he wa eleng h. Thus, o al ield
is simila
o
inciden ield, and Bo n app oxima ion can be
applied. The complex pe mi i i y and con as p o ile o wa e
a 2.45 GHz o di e en empe a u es a e lis ed in Table
I.
In his ange, he pe mi i i y sensi i i y wi h empe a u e is
almos linea , equal
o
a€'/€;
-
=
-3.9876
10-"c-'
AT
2)
Plana Geome y Simula ion Pa ame e s:
Leng h o measu emen line:
Numbe o ecei ing an ennas: 67
Numbe o iews:
64
Spacing be ween ecei ing an ennas:
31.6 cm
4.7
mm
=
X/3
-
-Inc.
y
axis
deg
CYLINDRICAL
Fig.
8.
Sca e ed ield. Magni ude
o
he p obing sca e ed ield in dB
o
bo h plana and Cylind ical geome y
o
local empe a u e change inside he
cylinde
o
4'.
Two di e en di ec ions o incidence ha e
been
conside ed,
along . -axis
(0')
and !/-axis
(OOO).
A
minimum dynamic ange o
30
dB
o he cylind ical case and
45
dB o he plana
one
is needed o de ec he
di e ence be ween he wo iews.
Dis ance
o
he cen e o he objec : 5 cm
Dimension o econs uc ed image ma ix:
67
X
67
3)
Cylind ical Geome y Simula ion Pa ame e s:
Numbe o ansmi ing an ennas:
64
Numbe o ecei ing an ennas: 64
Radius
o
he ci cula a ay: 12.5 cm
5.625"
=
1.23x
64
x
64
Spacing be ween ecei ing an ennas:
Dimension
o
econs uc ed image ma ix:
B.
Sca e ed
Field
Fo compa ison pu pose he inciden ield a he cen e
o
he
objec is ixed: 0.5 V/m in ampli ude, ze o deg ee in phase.
Fig.
8
shows he magni ude
o
he p obing sca e ed ields o
bo h geome ies. Two di e en iews
o
he objec ha e been
plo ed o di e en di ec ions o incidence along he x-axis
(0")
and y-axis
(90").
Fo he plana case he wo cu es o e lap, because he
p obing line is always in he same ela i e posi ion
o
he
inciden wa e, while o he cylind ical case he wo plo ed
cu es a e simila in shape, al hough shi ed
90".
Fig.
9
shows he magni ude o he di e en ial ields, i.e.
he di e ence be ween he sca e ed ields o a empe a u e
change o 4°C and he sca e ed ields o no empe a u e
change.
463
RIUS
e
al.:
MICROWAVE TEMPERATURE IMAGING. NUMERICAL SIMULATIONS
DIFFERENTIAL
FIELD
(41
C
-
37
C)
bo
-10
-20
53
4
I/,',
,,
,
,
,
,
,
,,
, ,,
,
,
,
,
,,
-18
-12
a
4
o
4
8
12
is
-SI
PLANAR
cm
50
o
60
120
en
240
m
360
a
'
,,,.,'
..I.
m...
I
,,I
CYLINDRICAL
d=g
Fig.
9.
Di e en ial sca e ed ield
(4loC-37OC).
Magni ude
o
he di e -
ence be ween he sca e ed ield measu ed o a
4OC
empe a u e change
and
he sca e ed ields o no empe a u e change. Two iews along
.I'
and axis
a e
shown.
A
minimum dynamic ange
o
35
dB is needed
o
he cylind ical
case, and
60
dB
o
he plana one. The la e can be educed down o
40
dB
wi h
a
sho e p obing line.
Fo p ac ical pu poses, only he p obing ield co esponding
o
a ce ain dynamic ange, i.e.,
30
dB, has a clea in luence
on
he econs uc ed image. Because o he di e en beha io
o he wo measu ed pa e ns, he use ul angula ex end
o
he
measu ed ield o he cylind ical geome y will be la ge han
he equi alen one o he plana case.
This can be explained as ollows.
The di e en ial ield can be conside ed as he ield sca e ed
by he empe a u e change. Fo he plana case, he empe a u e
change loca ion is close
o
he cen e o he measu e line and
a away om he ends. The maximum di e ence o dis ances
is abou
13
cm, leading
o
an a enua ion di e ence o abou
30
dB [Fig. lO(a)].
In
he cylind ical case, he empe a u e change loca ion
is nea he cen e
o
he ci cula a ay, and he e o e he
dis ances
o
each one o he ecei ing elemen s a e simila . The
g ea es dis ance di e ence is abou
4
cm, and he a enua ion
di e ence is abou
9
dB [Fig. 10(b)].
On he o he hand, he la ge numbe o elemen s in he
cylind ical a ay which measu e ields wi hin he speci ied
dynamic ange, p o ide a la ge amoun o in o ma ion
o
be
p ocessed, which esul s in a sligh ly be e spec al padding
and image quali y, a he p ice o a longe p obing line.
C. Recons uc ed Images
I)
Absolu e Recons uc ions:
Fig.
11
shows he econ-
I
(
h)
Fig.
10.
Sca e ed ield a enua ion. The dis ance om he empe a u e
change loca ion o each one
o
he ecei ing elemen s
o
he measu e a ay
is app oxima ely cons an in he cylind ical geome y sys em [Fig. 10(b), bu
no in he plana one [Fig.
lO(a)].
Thus, he sca e ed ield a i ing a he
elemen s close o he ends o he measu e
line
is s ongly a enua ed compa ed
o he ield a he cen e o he a ay. Fo ha eason, he plana geome y
sys em equi es
a
dynamic ange
o
abou
20
dB g ea e han he cylind ical
geome y one.
s uc ed con as p o iles o empe a u e changes o
0,
1,
and
4°C.
Plana geome y econs uc ion and cylind ical one a e
e y simila .
I
mus be no iced ha cylind ical con igu a ion
has a la ge spec um co e age due
o
he back-sca e ed ield
measu emen : ci cle o adius
2Ko
while only
iKo
o he
plana one. Acco dingly, in heo y he spa ial esolu ion o an
ideal backsca e ing sys em is be e by a
i
ac o .
Howe e , images ob ained by he cylind ical con igu a ion
om o wa d and backwa d sca e ing ield measu emen s a e
no
so
be e [see Fig.
111
o he ollowing easons.
-The backsca e ed ield a elemen s e y close
o
he
ansmi ing one canno be measu ed, and is app oxima ed by
ze o.
As
backsca e ed ields co espond
o
high equencies
in he Fou ie domain o he econs uc ed objec (Figs.
1
and
2),
some spa ial esolu ion is los .
-When he FFT algo i hm is used
o
compu e he
2-D
in e se Fou ie ans o m o he objec spec um
C
(K)
,
he
wa enumbe
I?
is assumed o be eal alued. I he medium
is lossy, some e o is in oduced in he highe equencies
o he objec spec um. As he backwa d ield measu emen s
a e associa ed wi h his highe spa ial equencies, a low-pass
image il e mus be applied and some esolu ion is los again.
This il e ing is no necessa y when only o wa d sca e ing
measu emen is pe o med.
464
IEEE TRANSACTIONS ON MEDICAL IMAGING,
VOL.
11,
NO.
4,
DECEMBER
1992
m
75
74
73
CONTRAST
PROFILE
~
23
0.018
L
0.018
1
;',
72
71
0.06
0.05
0.M
0.m
0.m
0.01
0
$1
$1
'" ''-
PLANAR
an
-10
a
B
4
I
o
z
4
e
e
10
CYLINDRICAL
an
CONTRAST
PROFILE
Fig.
11.
Recons uc ion o con as p o ile o empe s u e changes o
OOC,
l0C,
and
4OC.
Plana geome y and cylind ical geome y econs uc ions a e
e y simila -al hough he cylind ical geome y should be in p inciple be e
by a ac o
&
due o he backsca e ed ield measu emen .
..-.
E
0
>
DIELECTRIC
PERMllTlVlTY
- --?
P
::
,'.,,,
I/
-
'
x
(an)
Fig.
12.
Recons uc ion o dielec ic pe mi i i y on cylind ical sys em.
As
a conclusion, he image esolu ion ob ained wi h he
o wa d sca e ing plana con igu a ion and he cylind ical one
a e e y simila , al hough he la ge spec um co e age due o
he backsca e ing measu emen in he cylind ical case.
Cylind ical geome y econs uc ion is pe o med aking
in o accoun he lossy medium wi h complex
KO
in (ZO),
so
ha he co ec alue o he objec spec um
6'
is ob ained
and quan i a i e alues o he con as p o ile a e ob ained
wi h e y good app oxima ion. The complex pe mi i i y o
he image can be easily de i ed om
(9)
(see Fig. 12),
and a empe a u e map image can be ob ained om he
app oxima ely linea ela ionship be ween con as p o ile and
empe a u e (Fig.
13).
The esul s o Fig.
11
ha e been ob ained by he plana
algo i hm using
K,
eal alued in (12). Thus, he highly
a enua ed ampli ude o he sca e ed ield due o he lossy
medium is supposed o be caused by a less di ac ing objec
and he econs uc ed alue o he con as p o ile is lowe
han he o iginal. The e o e, he plana geome y algo i hm
wi h
K,
eal in
(12)
p o ides only a quali a i e image o he
con as p o ile (Fig.
11).
2)
Loss
Co ec ion in Plana Geome y Algo i hm:
When a
quan i a i e econs uc ion in a lossy medium is desi ed, a loss
co ec ion mus be pe o med in plana geome y algo i hm.
This
is
done by aking
K,
complex alued in (12). Wi h his
co ec ion, each componen o he angula spec um o he
measu ed sca e ed ield is ampli ied by a exponen ial ac o
equal
o
he a enua ion in he lossy medium. This may be a
majo p oblem in an expe imen al sys em, because he noise
ela ed o signals a i ing a bo h ends o he a ay is ampli ied
RlUS
e
al.:
MICROWAVE TEMPERATURE IMAGING: NUMERICAL SIMULATIONS
465
78-
n-
78-
75
74
73-
72,o
TEMPERATURE MAP
COMPLEX
PERMITTIVITY
model
-30
c
-
~
-'I
"
.a
d
4
-2
0
2
4
6
8
10
-104
6
4
-2
0
2
4
8
e
10
CYUNDRICAL
cm
Fig.
13.
Recons uc ion
o
empe a u e map
on
cylind ical sys em.
As
he
dielec ic pe mi i i y
o
wa e a ies linea y wi h empe a u e, empe a u e
maps ob ained wi h he cylind ical sys em.
by he
loss
co ec ion exponen ial ac o . In gene al, he
loss
co ec ion is e y sensi i e
o
he ampli ica ion o noise o
he highe spa ial equencies.
Figs.
14
and
15
show he econs uc ed images wi h bo h he
plana and cylind ical geome y algo i hms, o a empe a u e
change o
1"C,
loca ed a
z
=
0
cm.
A
loss
co ec ion has
been pe o med o he plana case, while o he cylind ical
one he loss co ec ion is implici aking complex
KO
in
(20).
Dielec ic pe mi i i y is econs uc ed p ope ly wi h bo h
algo i hms, bu he plana geome y image has been dis o ed
by losses co ec ion, as shown in Fig.
14.
A empe a u e map
o bo h geome ies is also shown in Fig.
15.
The main eason o he be e esul s achie ed wi h he
cylind ical algo i hm compa ed
o
he plana one wi h
loss
co ec ion is ha in lossless media he o wa d sca e ed ield
is much la ge han he backsca e ed,
bu
in lossy media
he ela i e impo ance o he backsca e ed ield inc eases
wi h he
loss
angen ,
so
ha he cylind ical algo i hm akes
ad an age o e he plana one. This poin has been alida ed
by nume ical simula ion: i in he cylind ical algo i hm only
he o wa d sca e ing in o ma ion is used, he esul s a e e y
simila
o
hose o he plana wi h losses co ec ion.
As
a conclusion, i can be no iced in Figs.
14
and
15
ha he
backsca e ed ield measu emen in lossy media imp o es he
image quali y when a quan i a i e econs uc ion is ob ained.
3)
Di e en ial Recons uc ions:
An image o a localized
empe a u e change in he objec can be ob ained sub ac ing
he image o he objec om he image o he objec wi h he
72
-loa
8
4
-2
o
2
4
e
8
10
PIANAR
w'kh
LOSSES CORRECTION
cm
(a)
CONTRAST PROFILE
plana
wi h
losses co ec ion
c lind ical
-.z.
P
(
b)
Fig.
14.
Recons uc ion
o
dielec ic pe mi i i y wi h losses co ec ion.
Dielec ic pe mi i i y is econs uc ed p ope ly wi h bo h algo i hms bu
plana geome y image has been dis o ed by
loss
co ec ion.