Graphics Processing Unit-Based High Performance Computing in Radiation Therapy (Series in Medical Physics and Biomedical Engineering)

Jia, Xun (EDT)/ Jiang, Steve B. (EDT)

CRC Press（2018/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 396 p.
• 言語 ENG
• 商品コード 9781138894327
• DDC分類 615.842

Full Description

Use the GPU Successfully in Your Radiotherapy Practice

With its high processing power, cost-effectiveness, and easy deployment, access, and maintenance, the graphics processing unit (GPU) has increasingly been used to tackle problems in the medical physics field, ranging from computed tomography reconstruction to Monte Carlo radiation transport simulation. Graphics Processing Unit-Based High Performance Computing in Radiation Therapy collects state-of-the-art research on GPU computing and its applications to medical physics problems in radiation therapy.

Tackle Problems in Medical Imaging and Radiotherapy

The book first offers an introduction to the GPU technology and its current applications in radiotherapy. Most of the remaining chapters discuss a specific application of a GPU in a key radiotherapy problem. These chapters summarize advances and present technical details and insightful discussions on the use of GPU in addressing the problems. The book also examines two real systems developed with GPU as a core component to accomplish important clinical tasks in modern radiotherapy.

Translate Research Developments to Clinical Practice

Written by a team of international experts in radiation oncology, biomedical imaging, computing, and physics, this book gets clinical and research physicists, graduate students, and other scientists up to date on the latest in GPU computing for radiotherapy. It encourages you to bring this novel technology to routine clinical radiotherapy practice.

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-Specific Quality Assurance System for Radiation Therapy.