Fast GPU 3D diffeomorphic image registration

• Published in: Journal of parallel and distributed computing Vol. 149; no. C; pp. 149 - 162
• Main Authors: Brunn, Malte, Himthani, Naveen, Biros, George, Mehl, Miriam, Mang, Andreas
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2021; Elsevier
• Subjects: Computer Science; Diffeomorphic image registration; Gauss–Newton–Krylov method; GPU computing; MATHEMATICS AND COMPUTING; Mixed-precision solver; Parallel optimization; Mixed-precision solver; Diffeomorphic image registration; Parallel optimization; GPU computing; Gauss–Newton–Krylov method; Parallel Optimization; Gauss–Newton–Krylov Method; Diffeomorphic Image Registration; Mixed-Precision Solver

3D image registration is one of the most fundamental and computationally expensive operations in medical image analysis. Here, we present a mixed-precision, Gauss–Newton–Krylov solver for diffeomorphic registration of two images. Our work extends the publicly available CLAIRE library to GPU architec...