Journal article 1457 views 261 downloads
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Pages: 1 - 10
Swansea University Authors:
Igor Sazonov , Xianghua Xie
, Perumal Nithiarasu
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DOI (Published version): 10.1080/21681163.2015.1124027
Abstract
The geometric potential force (GPF) used in segmentation of medical images is in general a robustmethod. However, calculation of the GPF is often time consuming and slow. In the present work, wepropose several methods for improving the GPF calculation and evaluate their efficiency against theorigina...
Published in: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
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ISSN: | 2168-1171 |
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2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa25291 |
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2020-05-22T18:53:04.7714278 v2 25291 2016-01-02 An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images 05a507952e26462561085fb6f62c8897 0000-0001-6685-2351 Igor Sazonov Igor Sazonov true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 3b28bf59358fc2b9bd9a46897dbfc92d 0000-0002-4901-2980 Perumal Nithiarasu Perumal Nithiarasu true false 2016-01-02 AERO The geometric potential force (GPF) used in segmentation of medical images is in general a robustmethod. However, calculation of the GPF is often time consuming and slow. In the present work, wepropose several methods for improving the GPF calculation and evaluate their efficiency against theoriginal method. Among different methods investigated, the procedure that combines Riesz transformand integration by part provides the fastest solution. Both static and dynamic images have been employedto demonstrate the efficacy of the proposed methods. Journal Article Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 1 10 2168-1171 31 12 2016 2016-12-31 10.1080/21681163.2015.1124027 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University Institution 2020-05-22T18:53:04.7714278 2016-01-02T11:33:56.6657523 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Igor Sazonov 0000-0001-6685-2351 1 Xianghua Xie 0000-0002-2701-8660 2 Perumal Nithiarasu 0000-0002-4901-2980 3 0025291-02012017162240.pdf sazonov15.pdf 2016-01-02T11:36:29.7670000 Output 3480659 application/pdf Accepted Manuscript true 2017-02-15T00:00:00.0000000 false |
title |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images |
spellingShingle |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images Igor Sazonov Xianghua Xie Perumal Nithiarasu |
title_short |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images |
title_full |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images |
title_fullStr |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images |
title_full_unstemmed |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images |
title_sort |
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images |
author_id_str_mv |
05a507952e26462561085fb6f62c8897 b334d40963c7a2f435f06d2c26c74e11 3b28bf59358fc2b9bd9a46897dbfc92d |
author_id_fullname_str_mv |
05a507952e26462561085fb6f62c8897_***_Igor Sazonov b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie 3b28bf59358fc2b9bd9a46897dbfc92d_***_Perumal Nithiarasu |
author |
Igor Sazonov Xianghua Xie Perumal Nithiarasu |
author2 |
Igor Sazonov Xianghua Xie Perumal Nithiarasu |
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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
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2016 |
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Swansea University |
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2168-1171 |
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10.1080/21681163.2015.1124027 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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description |
The geometric potential force (GPF) used in segmentation of medical images is in general a robustmethod. However, calculation of the GPF is often time consuming and slow. In the present work, wepropose several methods for improving the GPF calculation and evaluate their efficiency against theoriginal method. Among different methods investigated, the procedure that combines Riesz transformand integration by part provides the fastest solution. Both static and dynamic images have been employedto demonstrate the efficacy of the proposed methods. |
published_date |
2016-12-31T03:30:09Z |
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1763751189080440832 |
score |
11.021648 |