Evaluation of inter-session 3D-TRUS to 3D-TRUS image registration for repeat prostate biopsies

Authors:
Vaishali V. Karnik;Aaron Fenster;Jeff Bax;Lori Gardi;Igor Gyacskov;Jacques Montreuil;Cesare Romagnoli;Aaron D. Ward
Affiliations:
Biomedical Engineering Graduate Program and Robarts Research Institute;Biomedical Engineering Graduate Program and Robarts Research Institute and Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada;Biomedical Engineering Graduate Program and Robarts Research Institute;Robarts Research Institute;Robarts Research Institute;Robarts Research Institute;Robarts Research Institute;Robarts Research Institute
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Year:
2010

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Abstract

To ensure accurate targeting and repeatability, 3D TRUS-guided biopsies require registration to determine coordinate transformations to (1) incorporate pre-procedure biopsy plans and (2) compensate for intersession prostate motion and deformation between repeat biopsy sessions. We evaluated prostate surface- and image-based 3D-to-3D TRUS registration by measuring the TRE of manually marked, corresponding, intrinsic fiducials in the whole gland and peripheral zone, and also evaluated the error anisotropy. The imagebased rigid and non-rigid methods yielded the best results with mean TREs of 2.26 mm and 1.96 mm, respectively. These results compare favorably with a clinical need for an error of less than 2.5 mm.