2014/02/03 by Xun Jia, Peter Ziegenhein, Steve Jiang · 1 citation
Physics and Astronomy · Medicine · #Advanced Radiotherapy Techniques #Medical Imaging Techniques and Applications #Radiation Therapy and Dosimetry #Computer science #Graphics processing unit #Supercomputer #Software deployment #Radiation therapy #General-purpose computing on graphics processing units #Graphics #CUDA #Acceleration #Central processing unit #Hardware acceleration #Computational science #Software #Parallel computing #Software engineering #Computer graphics (images) #Operating system #Medicine #Radiology
paper · doi:10.1088/0031-9155/59/4/r151
openalex publication_date 2014/02/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
Recent developments in radiotherapy therapy demand high computation powers to solve challenging problems in a timely fashion in a clinical environment. The graphics processing unit (GPU), as an emerging high-performance computing platform, has been introduced to radiotherapy. It is particularly attractive due to its high computational power, small size, and low cost for facility deployment and maintenance. Over the past few years, GPU-based high-performance computing in radiotherapy has experienced rapid developments. A tremendous amount of study has been conducted, in which large acceleration factors compared with the conventional CPU platform have been observed. In this paper, we will first give a brief introduction to the GPU hardware structure and programming model. We will then review the current applications of GPU in major imaging-related and therapy-related problems encountered in radiotherapy. A comparison of GPU with other platforms will also be presented.