An Analysis of a Distributed GPU Implementation of Proton Computed Tomographic (pCT) Reconstruction

Author

Duffin, Kirk L. ; Karonis, Nicholas T. ; Ordonez, Caesar E. ; Papka, Michael E. ; Coutrakon, George ; Erdelyi, Bela ; Olson, Eric C. ; Uram, Thomas D.

Author_Institution

Dept. of Comput. Sci., Northern Illinois Univ., DeKalb, IL, USA

fYear

2012

fDate

10-16 Nov. 2012

Firstpage

166

Lastpage

175

Abstract

Proton computed tomography (pCT) is an imaging modality being developed to support targeted dose delivery in proton therapy. It aims to accurately map the distribution of relative stopping power in the imaged body. Because protons traverse material in non-linear paths, pCT requires individual proton processing and image reconstruction becomes a time-consuming process. We discuss the transformation of image reconstruction techniques from single CPU/GPU implementations to create a hybrid multi-CPU/GPU approach. We demonstrate a reduction of computation time from almost 7 hours down to 53 seconds.

Keywords

computerised tomography; distributed processing; graphics processing units; image reconstruction; medical image processing; radiation therapy; computation time reduction; distributed GPU implementation; dose delivery; hybrid multiCPU-GPU approach; image reconstruction technique; nonlinear paths; pCT reconstruction; proton computed tomographic reconstruction; proton processing; proton therapy; relative stopping power distribution; CUDA; GPU; Proton Computed Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:

Conference_Location

Salt Lake City, UT

Print_ISBN

978-1-4673-6218-4

Type

conf

DOI

10.1109/SC.Companion.2012.32

Filename

6495814