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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
Author
Konishi, Takeshi Tokushima University
Keywords
RBF networks
GPGPU
organ segmentation
Content Type
Thesis or Dissertation
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.
Journal Title
The Journal of Medical Investigation
ISSN
13496867
13431420
NCID
AA12022913
AA11166929
Publisher
Tokushima University Faculty of Medicine
Volume
66
Issue
1-2
Start Page
86
End Page
92
Sort Key
86
Published Date
2019-02
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
TextVersion
ETD
MEXT report number
甲第3243号
Diploma Number
甲医第1392号
Granted Date
2018-11-22
Degree Name
Doctor of Medical Science
Grantor
Tokushima University
departments
Medical Sciences