High Performance Model Based Image Reconstruction
Student: Xiao Wang (Purdue University)
Supervisor: Samuel Midkiff (Purdue University)
Abstract: In Computed Tomography (CT) methods, Model Based Iterative Reconstruction (MBIR) produces higher quality images than commonly used Filtered Backprojection (FBP) but at a very high computational cost. We describe a new MBIR implementation, PSV-ICD, which significantly reduces the computational cost of MBIR while retaining its benefits. It describes a novel organization of the scanner data into super-voxels (SV) that, combined with a super-voxel buffer (SVB), dramatically increases locality and prefetching while enabling parallelism across SVs. Experimental data is presented showing an average speedup of 187X on 20 cores.
Two-page extended abstract: pdf