Invited talk by Navid Samavati
Matching Histology and MRI for Prostate: A 3D Biomechanical Model Based Deformable Registration Approach
Abstract:
Correlation of in vivo imaging with pathology has been attracted a lot of attention in the literature recently. In this talk, an overview of a biomechanical model-based deformable image registration incorporating specimen-specific changes in material properties will be presented. The process 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 is quantified by calculating the target registration error (TRE) by identifying naturally occurring fiducials within the prostate in each image. TRE are improved with the deformable registration algorithm compared to rigid registration alone.
