ID | 113295 |
Title Alternative | graphics processing unitを活用した改良型radial basis functionネットワークによる臓器領域描出の高速化
Accelerating revised RBF neural network
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Author |
Konishi, Takeshi
Tokushima University
Kondo, Tadashi
Tokushima University
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Moriguchi, Hiroki
Uchida Neurosurgery Clinic
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Keywords | RBF networks
GPGPU
organ segmentation
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Content Type |
Thesis or Dissertation
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Description | This study aimed to accelerate the segmentation of organs in medical imaging with the revised radial basis function (RBF) network, using a graphics processing unit (GPU). We segmented the lung and liver regions from 250 chest x-ray computed tomography (CT) images and 160 abdominal CT images, respectively, using the revised RBF network. We compared the time taken to segment images and their accuracy between serial processing by a single-core central processing unit (CPU), parallel processing using four CPU cores, and GPU processing. Segmentation times for lung and liver organ regions shortened to 57.80 and 35.35 seconds for CPU parallel processing and 20.16 and 11.02 seconds for GPU processing, compared to 211.03 and 124.21 seconds for CPU serial processing, respectively. The concordance rate of the segmented region to the normal region in slices excluding the upper and lower ends (173 lung and 111 liver slices) was 98% for lung and 96% for liver. The use of CPU parallel processing and GPU shortened the organ segmentation time in the revised RBF network without compromising segmentation accuracy. In particular, segmentation time was shortened to less than 10% with GPU. This processing method will contribute to workload reduction in imaging analysis.
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Journal Title |
The Journal of Medical Investigation
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ISSN | 13496867
13431420
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NCID | AA12022913
AA11166929
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Publisher | Tokushima University Faculty of Medicine
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Volume | 66
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Issue | 1-2
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Start Page | 86
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End Page | 92
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Sort Key | 86
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Published Date | 2019-02
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Remark | 内容要旨・審査要旨・論文本文の公開
本論文は,著者Takeshi Konishiの学位論文として提出され,学位審査・授与の対象となっている。 |
EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
ETD
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MEXT report number | 甲第3243号
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Diploma Number | 甲医第1392号
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Granted Date | 2018-11-22
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Degree Name |
Doctor of Medical Science
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Grantor |
Tokushima University
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departments |
Medical Sciences
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