1Elec

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

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we vo s-r-

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2568Proc. Intl. Soc. Mag. Reson. Med. 20 (2012)