Graphics Processing Unit-Based High Performance Computing in Radiation Therapy
Synopsis
Use the GPU Successfully in Your Radiotherapy PracticeWith 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.
Book details
- Series:
- Series in Medical Physics and Biomedical Engineering
- Author:
- Xun Jia and Steve B. Jiang
- ISBN:
- 9781351231664
- Related ISBNs:
- 9781138894327, 9781351229289, 9781482244786
- Publisher:
- CRC Press
- Pages:
- 396
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2023-09-27
- Usage restrictions:
- Copyright
- Copyright date:
- 2016
- Copyright by:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Categories:
- Medicine, Nonfiction, Science