2015 | OriginalPaper | Chapter
A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy
Authors : Siavash Khallaghi, C. Antonio Sánchez, Saman Nouranian, Samira Sojoudi, Silvia Chang, Hamidreza Abdi, Lindsay Machan, Alison Harris, Peter Black, Martin Gleave, Larry Goldenberg, S. Sidney Fels, Purang Abolmaesumi
Published in: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present a 2D to 3D registration framework that compensates for prostate motion and deformations during freehand prostate biopsies. It has two major components: 1) a trajectory-based rigid registration to account for gross motions of the prostate; and 2) a non-rigid registration constrained by a finite element model (FEM) to adjust for residual motion and deformations. For the rigid alignment, we constrain the ultrasound probe tip in the live 2D imaging plane to the tracked trajectory from the pre-procedure 3D ultrasound volume. This ensures the rectal wall approximately coincides between the images. We then apply a FEM-based technique to deform the volume based on image intensities. We validate the proposed framework on 10 prostate biopsy patients, demonstrating a mean target registration error (TRE) of 4.63 mm and 3.15 mm for rigid and FEM-based components, respectively.