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An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images

Igor Sazonov Orcid Logo, Xianghua Xie Orcid Logo, Perumal Nithiarasu Orcid Logo

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Pages: 1 - 10

Swansea University Authors: Igor Sazonov Orcid Logo, Xianghua Xie Orcid Logo, Perumal Nithiarasu Orcid Logo

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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...

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Published in: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
ISSN: 2168-1171
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa25291
first_indexed 2016-01-03T01:55:53Z
last_indexed 2020-05-22T18:36:00Z
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spelling 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 ACEM 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, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM 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
format Journal article
container_title Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
container_start_page 1
publishDate 2016
institution Swansea University
issn 2168-1171
doi_str_mv 10.1080/21681163.2015.1124027
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str 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
document_store_str 1
active_str 0
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 2016-12-31T18:49:15Z
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score 11.04748

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