TY - JOUR
T1 - A domain constrained deformable (DoCD) model for co-registration of pre- and post-radiated prostate MRI
AU - Toth, Robert
AU - Traughber, Bryan
AU - Ellis, Rodney
AU - Kurhanewicz, John
AU - Madabhushi, Anant
N1 - Funding Information:
Dr. Madabhushi has authored over 200 peer-reviewed publications in leading international journals and conferences. He has 7 issued patents with over 20 patents pending in the areas of medical image analysis, computer-aided diagnosis, and computer vision. He is an Associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Engineering Letters, BMC Cancer, and Medical Physics. He is also on the Editorial Board of the Journal Analytical and Cellular Pathology. He has been the recipient of a number of awards for both research as well as teaching, including the Department of Defense New Investigator Award in Lung Cancer (2014), the Coulter Phase 1 and Phase 2 Early Career award (2006, 2008), and the Excellence in Teaching Award (2007–2009), along with a number of technology commercialization awards. He is also a Wallace H. Coulter Fellow and a Senior IEEE member. His research work has received grant funding from the National Cancer Institute (NIH), National Science Foundation, the Department of Defense, private foundations, and from Industry.
Funding Information:
Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award numbers R01CA136535-01 , R01CA140772-01 , and R21CA167811-01 ; the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award number R43EB015199-01 ; the National Science Foundation under award number IIP-1248316 ; the QED award from the University City Science Center and Rutgers University . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
PY - 2014/11/20
Y1 - 2014/11/20
N2 - External beam radiation treatment (EBRT) is a popular method for treating prostate cancer (CaP) involving destroying tumor cells with ionizing radiation. Following EBRT, biochemical failure has been linked with disease recurrence. However, there is a need for methods for evaluating early treatment related changes to allow for an early intervention in case of incomplete disease response. One method for looking at treatment evaluation is to detect changes in MRI markers on a voxel-by-voxel basis following treatment. Changes in MRI markers may be correlated with disease recurrence and complete or partial response. In order to facilitate voxel-by-voxel imaging related treatment changes, and also to evaluate morphologic changes in the gland post treatment, the pre- and post-radiated MRI must first be brought into spatial alignment via image registration. However, EBRT induces changes in the prostate volume and distortion to the internal anatomy of the prostate following radiation treatment. The internal substructures of the prostate, the central gland (CG) and peripheral zone (PZ), may respond to radiation differently, and their resulting shapes may change drastically. Biomechanical models of the prostate that have been previously proposed tend to focus on how external forces affect the surface of the prostate (not the internals), and assume that the prostate is a volume-preserving entity. In this work we present DoCD, a biomechanical model for automatically registering pre-, post-EBRT MRI with the aim of expressly modeling the (1) changes in volume, and (2) changes to the CG and PZ. DoCD was applied to a cohort of 30 patients and achieved a root mean square error of 2.994. mm, which was statistically significantly better a traditional biomechanical model which did not consider changes to the internal anatomy of the prostate (mean of 5.071. mm).
AB - External beam radiation treatment (EBRT) is a popular method for treating prostate cancer (CaP) involving destroying tumor cells with ionizing radiation. Following EBRT, biochemical failure has been linked with disease recurrence. However, there is a need for methods for evaluating early treatment related changes to allow for an early intervention in case of incomplete disease response. One method for looking at treatment evaluation is to detect changes in MRI markers on a voxel-by-voxel basis following treatment. Changes in MRI markers may be correlated with disease recurrence and complete or partial response. In order to facilitate voxel-by-voxel imaging related treatment changes, and also to evaluate morphologic changes in the gland post treatment, the pre- and post-radiated MRI must first be brought into spatial alignment via image registration. However, EBRT induces changes in the prostate volume and distortion to the internal anatomy of the prostate following radiation treatment. The internal substructures of the prostate, the central gland (CG) and peripheral zone (PZ), may respond to radiation differently, and their resulting shapes may change drastically. Biomechanical models of the prostate that have been previously proposed tend to focus on how external forces affect the surface of the prostate (not the internals), and assume that the prostate is a volume-preserving entity. In this work we present DoCD, a biomechanical model for automatically registering pre-, post-EBRT MRI with the aim of expressly modeling the (1) changes in volume, and (2) changes to the CG and PZ. DoCD was applied to a cohort of 30 patients and achieved a root mean square error of 2.994. mm, which was statistically significantly better a traditional biomechanical model which did not consider changes to the internal anatomy of the prostate (mean of 5.071. mm).
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U2 - 10.1016/j.neucom.2014.01.058
DO - 10.1016/j.neucom.2014.01.058
M3 - Article
AN - SCOPUS:84906050536
SN - 0925-2312
VL - 144
SP - 3
EP - 12
JO - Neurocomputing
JF - Neurocomputing
ER -
