Graphics Processing Unit-Based High Performance Computing in Radiation Therapy
Language: English
Published by Taylor & Francis Ltd Sep 2018, 2018
Series: Book 29 of 99 - Series in Medical Physics and Biomedical Engineering
- Softcover
- New
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Seller Inventory # 9781138894327
- Title
- Graphics Processing Unit-Based High Performance Computing in Radiation Therapy
- Author
- Xun (University of Texas Southwestern Medical Center Jia
- Publisher
- Taylor & Francis Ltd Sep 2018
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 113889432X
- ISBN 13
- 9781138894327
- Item weight
- 706 grams
- Dimensions
- 233x156x26 mm
- Series
- Book 29 of 99: Series in Medical Physics and Biomedical Engineering
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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