Graphics processing unit-based high performance computing in radiation therapy /
نام عام مواد
[Book]
نام نخستين پديدآور
edited by Xun Jia, Steve B. Jiang
مشخصات ظاهری
نام خاص و کميت اثر
xviii, 396 pages, 8 unnumbered leaves of plates :
ساير جزييات
illustrations (some color) ;
ابعاد
24 cm
فروست
عنوان فروست
Series in medical physics and biomedical engineering
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index
یادداشتهای مربوط به مندرجات
متن يادداشت
Introduction -- Digitally reconstructed radiographs -- Analytic cone-beam CT reconstructions -- Iterative cone-beam CT reconstruction on GPUs: a computational perspective -- 4DCT and 4D cone-bean 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-vased 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
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"This book presents a collection of state-of-the-art research on GPU computing and its applications in medical physics problems in radiation therapy. After an overall introduction to GPU technology and its current applications in radiotherapy in Chapter 1, each of Chapters 2 through 20 was selected to present a specific application of GPU in a key radiotherapy problem. These chapters summarize the advancements achieved so far as well as present technical details and insightful discussions regarding the utilization of GPU in these problems. In addition, two chapters toward teh end of the book present two real systems developed with GPU as a core component to achieve important clinical tasks in modern radiotherapy." -- Preface, page xi