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Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images / Jonathan-Lee Jones; Xianghua Xie

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

Swansea University Author: Xie, Xianghua

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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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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 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.
Keywords: medical image analysis, image segmentation, confocal microscopy
College: College of Science
Start Page: 198
End Page: 205