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Conference Paper/Proceeding/Abstract 1072 views

Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images

Jonathan-lee Jones, Xianghua Xie Orcid Logo

Image Analysis and Recognition, Volume: 9730, Pages: 198 - 205

Swansea University Authors: Jonathan-lee Jones, Xianghua Xie Orcid Logo

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DOI (Published version): 10.1007/978-3-319-41501-7_23

Abstract

We present a novel method of segmentation of lymph valve leaflets from confocal microscopy studies. By using a user informed, layer based segmentation framework, we segment the outer boundary of the lymph valve in 3D from a series of confocal images. This boundary is then used to compute the surface...

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Published in: Image Analysis and Recognition
ISBN: 978-3-319-41501-7
ISSN: 1611-3349 0302-9743
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa32101
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first_indexed 2017-02-25T05:04:37Z
last_indexed 2018-02-09T05:19:40Z
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spelling 2017-06-09T08:43:41.1081160 v2 32101 2017-02-24 Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images 9fb5e49002a9ebb15f1fdbe60df1dbdf Jonathan-lee Jones Jonathan-lee Jones true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2017-02-24 SBI We present a novel method of segmentation of lymph valve leaflets from confocal microscopy studies. By using a user informed, layer based segmentation framework, we segment the outer boundary of the lymph valve in 3D from a series of confocal images. This boundary is then used to compute the surface structure of the vessel by providing a boundary constraint to a dual graph based on minimum surface segmentation. This segmentation creates a point cloud of voxels on the surface of the valve structure, we then apply an RBF interpolation to reconstruct it as a continuous surface. Conference Paper/Proceeding/Abstract Image Analysis and Recognition 9730 198 205 978-3-319-41501-7 1611-3349 0302-9743 medical image analysis, image segmentation, confocal microscopy 31 7 2016 2016-07-31 10.1007/978-3-319-41501-7_23 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2017-06-09T08:43:41.1081160 2017-02-24T23:19:29.7783035 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Jonathan-lee Jones 1 Xianghua Xie 0000-0002-2701-8660 2
title Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
spellingShingle Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
Jonathan-lee Jones
Xianghua Xie
title_short Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
title_full Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
title_fullStr Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
title_full_unstemmed Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
title_sort Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images
author_id_str_mv 9fb5e49002a9ebb15f1fdbe60df1dbdf
b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv 9fb5e49002a9ebb15f1fdbe60df1dbdf_***_Jonathan-lee Jones
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Jonathan-lee Jones
Xianghua Xie
author2 Jonathan-lee Jones
Xianghua Xie
format Conference Paper/Proceeding/Abstract
container_title Image Analysis and Recognition
container_volume 9730
container_start_page 198
publishDate 2016
institution Swansea University
isbn 978-3-319-41501-7
issn 1611-3349
0302-9743
doi_str_mv 10.1007/978-3-319-41501-7_23
college_str Faculty of Science and Engineering
hierarchytype
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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
description We present a novel method of segmentation of lymph valve leaflets from confocal microscopy studies. By using a user informed, layer based segmentation framework, we segment the outer boundary of the lymph valve in 3D from a series of confocal images. This boundary is then used to compute the surface structure of the vessel by providing a boundary constraint to a dual graph based on minimum surface segmentation. This segmentation creates a point cloud of voxels on the surface of the valve structure, we then apply an RBF interpolation to reconstruct it as a continuous surface.
published_date 2016-07-31T03:39:17Z
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score 11.035634

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