Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

The Publication Database hosted by SPL

All Publications | Upload | Advanced Search | Gallery View | Download Statistics | Help | Import | Log in

Selection of Optimal Hyper-Parameters for Estimation of Uncertainty in MRI-TRUS Registration of the Prostate

Institution:
Department of radiology, Brigham and Women's Hospital, Harvard Medical School, USA. pettri@bwh.harvard.edu
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2012
Publication Date:
Oct-2012
Journal:
Med Image Comput Comput Assist Interv
Volume Number:
15
Issue Number:
Pt 3
Pages:
107-14
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(Pt 3):107-14.
PubMed ID:
23286120
PMCID:
PMC3712120
Appears in Collections:
NAC, NA-MIC, NCIGT, Prostate Group, SPL
Sponsors:
P41 EB015898/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
P41 RR019703/RR/NCRR NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
R01 CA111288/CA/NCI NIH HHS/United States
Generated Citation:
Risholm P., Janoos F., Pursley J., Fedorov A., Tempany C.M., Cormack R.A., Wells III W.M. Selection of Optimal Hyper-Parameters for Estimation of Uncertainty in MRI-TRUS Registration of the Prostate. Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(Pt 3):107-14. PMID: 23286120. PMCID: PMC3712120.
Downloaded: 1033 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

Transrectal ultrasound (TRUS) facilitates intra-treatment delineation of the prostate gland (PG) to guide insertion of brachytherapy seeds, but the prostate substructure and apex are not always visible which may make the seed placement sub-optimal. Based on an elastic model of the prostate created from MRI, where the prostate substructure and apex are clearly visible, we use a Bayesian approach to estimate the posterior distribution on deformations that aligns the pre-treatment MRI with intra-treatment TRUS. Without apex information in TRUS, the posterior prediction of the location of the prostate boundary, and the prostate apex boundary in particular, is mainly determined by the pseudo stiffness hyper-parameter of the prior distribution. We estimate the optimal value of the stiffness through likelihood maximization that is sensitive to the accuracy as well as the precision of the posterior prediction at the apex boundary. From a data-set of 10 pre- and intra-treatment prostate images with ground truth delineation of the total PG, 4 cases were used to establish an optimal stiffness hyper-parameter when 15% of the prostate delineation was removed to simulate lack of apex information in TRUS, while the remaining 6 cases were used to cross-validate the registration accuracy and uncertainty over the PG and in the apex.

Additional Material
1 File (241.159kB)
Risholm-MICCAI2012-fig2.jpg (241.159kB)