Paper Info
Title
Probabilistic Non-Rigid Registration Of Prostate Images: Modeling And Quantifying Uncertainty
Abstract
Registration of pre- to intra-procedural prostate images needs to handle the large changes in position and shape of the prostate caused by varying rectal filling and patient positioning. We describe a probabilistic method for non-rigid registration of prostate images which can quantify the most probable deformation as well as the uncertainty of the estimated deformation. The method is based on a biomechanical Finite Element model which treats the prostate as an elastic material. We use a Markov Chain Monte Carlo sampler to draw deformation configurations from the posterior distribution. In practice, we simultaneously estimate the boundary conditions (surface displacements) and the internal deformations of our biomechanical model. The proposed method was validated on a clinical MRI dataset with registration results comparable to previously published methods, but with the added benefit of also providing uncertainty estimates which may be important to take into account during prostate biopsy and brachytherapy procedures.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872467
2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO
Keywords
Field
DocType
prostate, registration, uncertainty, elastic
Computer vision,Monte Carlo method,Markov chain Monte Carlo,Computer science,Prostate biopsy,Brachytherapy,Probabilistic method,Artificial intelligence,Probabilistic logic,Image registration,Prostate brachytherapy
Conference
Volume
ISSN
Citations 
2011
1945-7928
3
PageRank 
References 
Authors
0.47
2
6
Name
Order
Citations
PageRank
Petter Risholm110910.71
Andriy Fedorov217116.54
Jennifer Pursley340.83
Kemal Tuncali48213.51
Robert Cormack592.03
William M. Wells III65267833.10