Biomechanical model-based deformable registration of MRI and histopathology for clinical prostatectomy
Author(s) -
Navid Samavati,
Deirdre M. McGrath,
Jenny Lee,
Theodorus van der Kwast,
Michael A.S. Jewett,
Cynthia Ménard,
Kristy K. Brock
Publication year - 2012
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/2153-3539.92035
Subject(s) - image registration , prostatectomy , computer science , magnetic resonance imaging , elastography , ex vivo , biomechanics , magnetic resonance elastography , fixation (population genetics) , artificial intelligence , computer vision , biomedical engineering , prostate , medicine , in vivo , radiology , anatomy , biology , ultrasound , image (mathematics) , population , microbiology and biotechnology , environmental health , cancer
A biomechanical model-based deformable image registration incorporating specimen-specific changes in material properties is optimized and evaluated for correlating histology of clinical prostatectomy specimens with in vivo MRI. In this methodology, a three-step registration based on biomechanics calculates the transformations between histology and fixed, fixed and fresh, and fresh and in vivo states. A heterogeneous linear elastic material model is constructed based on magnetic resonance elastography (MRE) results. The ex vivo tissue MRE data provide specimen-specific information for the fresh and fixed tissue to account for the changes due to fixation. The accuracy of the algorithm was quantified by calculating the target registration error (TRE) by identifying naturally occurring anatomical points within the prostate in each image. TRE were improved with the deformable registration algorithm compared to rigid registration alone. The qualitative assessment also showed a good alignment between histology and MRI after the proposed deformable registration
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom