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@article{Reynolds:2015:10.1118/1.4935343,
author = {Reynolds, HM and Williams, S and Zhang, A and Chakravorty, R and Rawlinson, D and Ong, CS and Esteva, M and Mitchell, C and Parameswaran, B and Finnegan, M and Liney, G and Haworth, A},
doi = {10.1118/1.4935343},
journal = {Medical Physics},
pages = {7078--7089},
title = {Development of a registration framework to validate MRI with histology for prostate focal therapy},
url = {http://dx.doi.org/10.1118/1.4935343},
volume = {42},
year = {2015}
}

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TY  - JOUR
AB  - <jats:sec><jats:title>Purpose:</jats:title><jats:p>Focal therapy has been proposed as an alternative method to wholegland treatment for prostate cancer when aiming to reduce treatment side effects. The authors recently validated a radiobiological model which takes into account tumor location and tumor characteristics including tumor cell density, Gleason score, and hypoxia in order to plan optimal dose distributions for focal therapy. The authors propose that this model can be informed using multiparametric MRI (mpMRI) and in this study present a registration framework developed to map prostate mpMRI and histology data, where histology will provide the “ground truth” data regarding tumor location and biology. The authors aim to apply this framework to a growing database to develop a prostate biological atlas which will enable MRI based planning for prostate focal therapy treatment.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>Six patients scheduled for routine radical prostatectomy were used in this proofofconcept study. Each patient underwent mpMRI scanning prior to surgery, after which the excised prostate specimen was formalin fixed and mounted in agarose gel in a custom designed sectioning box. T2weighted MRI of the specimen in the sectioning box was acquired, after which 5 mm sections of the prostate were cut and histology sections were microtomed. A number of image processing and registration steps were used to register histology images with <jats:italic>ex vivo</jats:italic> MRI and deformable image registration (DIR) was applied to 3D T2w images to align the <jats:italic>in vivo</jats:italic> and <jats:italic>ex vivo</jats:italic> MRI data. Dice coefficient metrics and corresponding feature points from two independent annotators were selected in order to assess the DIR accuracy.</jats:p></jats:sec><jats:sec&g
AU  - Reynolds,HM
AU  - Williams,S
AU  - Zhang,A
AU  - Chakravorty,R
AU  - Rawlinson,D
AU  - Ong,CS
AU  - Esteva,M
AU  - Mitchell,C
AU  - Parameswaran,B
AU  - Finnegan,M
AU  - Liney,G
AU  - Haworth,A
DO  - 10.1118/1.4935343
EP  - 7089
PY  - 2015///
SN  - 0094-2405
SP  - 7078
TI  - Development of a registration framework to validate MRI with histology for prostate focal therapy
T2  - Medical Physics
UR  - http://dx.doi.org/10.1118/1.4935343
UR  - https://doi.org/10.1118/1.4935343
VL  - 42
ER  -

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