GRAPHIC PROCESSING UNIT-BASED HIGH PERFORMANCE COMPUTING IN RADIATION THERAPY

This book first gives an overview of the applications of Graphics Processing Unit (GPU) for radiation therapy issues. Basic concepts in GPU programming are discussed, together with its advantages and limitations. The second and third parts of the book present GPU applications in a variety of imaging-related issues and therapy-related problems in radiotherapy. The last part discusses potential advanced clinical applications supported by GPU technology. Readers benefit from an in-depth review of GPU-based high-performance computing in radiation therapy.

Features
- Covers all active research topics in GPU in radiotherapy and medical imaging
- Presents current status of GPU applications the radiation therapy field
- Analyzes potential problems of GPU in each specific application and offers potential solutions.

Editor(s) Bio

Dr. Xun Jia is an assistant professor and medical physicist in the Department of Radiation Oncology at the University of Texas Southwestern Medical Center. Dr. Jia has published over 60 peer-reviewed research articles and is a section editor of the Journal of Applied Clinical Medical Physics. He has conducted productive research on developing numerical algorithms and implementations for low-dose cone-beam CT reconstruction and Monte Carlo radiation transport simulation on the GPU platform. He earned his MS in mathematics and PhD in physics from the University of California, Los Angeles.

Dr. Steve B. Jiang is the Barbara Crittenden Professor in cancer research, vice chair of the Radiation Oncology Department, and director of the Medical Physics and Engineering Division at the University of Texas Southwestern Medical Center. He is a fellow of the Institute of Physics and the American Association of Physicists in Medicine, serves on the editorial board of Physics in Medicine and Biology, and is an associate editor of Medical Physics. He has published more than 130 peer-reviewed papers on various areas of cancer radiotherapy. He received his PhD in medical physics from the Medical College of Ohio.

Table of Contents
Introduction
Digitally Reconstructed Radiographs
Analytic Cone-Beam CT Reconstructions
Iterative Cone-Beam CT Reconstruction on GPUs: A Computational Perspective
4DCT and 4D Cone-Beam CT Reconstruction Using Temporal Regularizations
Multi-GPU Cone-Beam CT Reconstruction
Tumor Tracking and Real-Time Volumetric Imaging via One Cone-Beam CT Projection
GPU Denoising for Computed Tomography
GPU-Based Unimodal Deformable Image Registration in Radiation Therapy
Inter-Modality Deformable Registration
CT-to-Cone-Beam CT Deformable Registration
Reconstruction in Positron Emission Tomography
Implementation of Convolution Superposition Methods on a GPU
Photon and Proton Pencil Beam Dose Calculation
Photon Monte Carlo Dose Calculation
Monte Carlo Dose Calculations for Proton Therapy
Treatment Plan Optimization for Intensity-Modulated Radiation Therapy (IMRT)
Treatment Plan Optimization for Volumetric-Modulated Arc Therapy (VMAT)
Non-Voxel-Based Broad Beam Framework: A Summary
Gamma Index Calculations
SCORE System for Online Adaptive Radiotherapy
TARGET: A GPU-Based Patient-SpecificQuality Assurance System for Radiation Therapy