a model-based method for reegistration of ex vivo to in ... · [4] muthupillai et [5] tsai et al.,...
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IntrodThe mocancer ex vivoment, cin vivomodelsmay reticity pthe def MethoThe stuwent anbased oThe ex3D moemploymodel tration face ofimage. and outhis appthe imaan elasmodulumined additioallows the dcompuprocessillustra ResultTo evaT2w sl46.7% rigid aafter nOn mrelativeafter no93.3±0 DiscuWe ouintensitMRE. which Refer[1] Koz[2] Dre[3] Cru
A M
ctrical and Compu
duction ost accurate imageprobability maps
o images can be eachange in volume MRI. Biomechans are assigned arbesult in inaccurate parameters to the pformation maps an
ods udy was approvedn in vivo pre-op Ton transperineal a
x vivo post-op prosodel of the prostaty a model-based reonto the field of valgorithm [5] that
f the model. FinalRather than defor
utside its surface.proach, each voxeage is associated wsticity value (Younus) that was deby the MRE scan
on, this approthe forces that dr
deformations to uted on the entire vsing step, we com
ates the registration
ts aluate registration lices. The results ainitially, 78.4% a
alignment, and 86non-rigid registrat
mid-gland slices, e 2D area oveon-rigid registratio
0.54%.
ssion utlined a method foty information andEarly experimentsis needed in order
ences zlowski et al., Maew et al., J. Magn.um et al., British Jo
Model-Based MGuy N
uter Engineering, UBC
e-based characterizthat correlate histo
asily registered to hand deformation o
nical models whichitrary and typicalldeformation maps
prostate and periprnd, to the best of ou
d by the institution2-weighted (T2w)
application of vibrstate specimen wate to be constructeegistration schemeview of the in vivot translates, scales lly, we employ a nrming the ex vivo . In el of with ng's
eter-n. In oach rive
be volume, not only a
mpute the inverse mn process on a tran
performance, we are illustrated in Fiafter
6.8% tion.
the erlap on is
for a model-based d the measured elas on both synthetito build cancer di
gn. Reson. ImaginReson. Imaging 3
ournal of Radiolog
(a) I
(a)
Method for ReNir1, Ramin S. SaheUniversity of BritisC, Canada, 3Centr
zation of prostate opathology with inhistology using meof the prostate betwh are deformed in ly constant elastics. We propose therostatic tissue. Theur knowledge, has
al ethics board an) MRI scan followations to the prosts fixed in 10% bued easily. In contre, in which the ex volume. Next, weand rotates the m
novel iterative elamodel, the in vivo
around the model.mapping and warpnsverse slice of the
compared the finaigure 2. Quantitati
registration of an asticity to warp thec and clinical datastribution probabi
ng 28 (2010) 621-632 (2010), 992-996gy 77 (2004) S140
Initial
) 3D
egistration of Eebjavaher1, Piotr Ksh Columbia, Vancre de Recherche Bi
cancer to date is gn vivo MRI, one caechanical constraiween the scans. It a physical manneity properties that novel use of mag
e incorporation of not been reported
d a signed consenwed by MRE in a 3
tate. We obtained uffered formalin anrast, the in vivo imvivo model is mat
e align the 3D modmodel over the voluastic registration ao volumetric imag
Therefore, displap the model onto te volume.
al registered ex vivively, we found th
ex vivo model to e volumetric imaga show promising lity maps.
628. 6. 0-S153.
(b) Rigidly aligned
(b) Slice 16
Ex Vivo to In Kozlowski2, Ralph couver, BC, Canadiomédicale Bichat-
generated from muan use ex vivo MRnts [2], it remainsis the goal of thisr have been used e
t are optimized to gnetic resonance elsuch elastography
d before.
nt was obtained pri.0-Tesla system (Pthe elasticity ima
nd scanned in a 7.0mages contain surrtched to the in vivodel to fit the imageume in order to mialgorithm to compge is warped in ord
acements of the vothe volume. We im
vo model to a modhe relative 3D volu
an in vivo T2w Me. To the best of oresults. An ongoi
[4] Muthupillai et[5] Tsai et al., IEE[6] Modersitzki, O
d (c) Warpe
(c) Sli
Vivo ProstateSinkus3, and Sept
da, 2MRI Research-Beaujon (CRB3),
ulti-parametric magRI scans of the fixe
a challenge to regs work to develop extensively for regproduce a low tar
lastography (MREy data into the regi
ior to experimentsPhilips, The Netheage using local fre0-Tesla system (Brounding anatomyo volumetric image with respect to trinimize the intensipute the residual nder to match the m
oxels are propagatmplement our met
del constructed frume overlap betwe
MRI volume with our knowledge, thiing study will prov
t al., Science 269 (EE Trans. on MedOxford University
ed image (
ice 18
e MRI Using Etimiu E. Salcudeanh Centre, Universi Paris, France
gnetic resonance ied prostate specimgister ex vivo to ina method for accugistration of medi
arget registration eE) [4] that assigns istration framewor
s. A patient scheduerlands). We used equency estimationBruker, Germany).y and tissue, with ge. As a pre-procetranslations, scalinity variations on thnon-rigid mappingmodel, by minimiz
ted through the imthod using a nume
rom manual segmeeen the two model
a corresponding Mis is the first modevide further evalu
(1995) 1854-1857d. Imaging 22 (200y Press (2004).
(d) Warped model
(d) Slice 20
Elastographyn1 ity of British Colum
imaging (MRI) [1]men after radical prn vivo MRI due to urate registration bcal imaging data [
error. This is not aactual in vivo me
rk ensures a realist
uled for radical pra dynamic harmonn (LFE) of the dis High quality ex vwhich the prostat
essing step, we inteng and rotations. Whe regions inside ag between the aligzing global intensi
mage in a physical erical scheme bas
entation of the prols (Dice’s similarit
MRE data. The mel-based registratiouation of the meth
7. 03) 137-154.
Figure 1. ReCross-sectionmodel (red) ovivo T2w slic(c) the imagethe prostate iThe inverse mmodel, produ
Figure 2. Re(a) Registere(red) and main vivo mode(b-d) Selectethe registereon corresponand manual
mbia, Vancouver,
]. In order to obtairostatectomy. Whilunknown misalign
between ex vivo an[3]. However, thesalways realistic anasurements of elastic regularization o
rostatectomy undernic MRE techniqusplacement imagevivo images allow te blends. Thus, werpolate the ex viv
We use a rigid regisand outside the surgned model and thity variations insid
fashion. As a posed on [6]. Figure
ostate in the in vivty coefficient) to b
method utilizes boton method that useod on clinical data
egistration processn of the ex vivo 3Doverlaid on an in ce. Notice that in e is warped to fit inside the model. map, applied to theuces (d).
egistration results.ed ex vivo model anually segmentedel (cyan) in 3D. ed cross-sections oed model overlaid nding T2w slices segmentations.
in le n-nd se nd s-of
r-ue s. a
we vo s-r-
he de
t-1
vo be
th es a,
. D
e
d
of
2568Proc. Intl. Soc. Mag. Reson. Med. 20 (2012)