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Journal article 1244 views

Integrated Segmentation and Interpolation of Sparse Data

Adeline Paiement Orcid Logo, Majid Mirmehdi, Xianghua Xie Orcid Logo, Mark C. K. Hamilton

IEEE Transactions on Image Processing, Volume: 23, Issue: 1, Pages: 110 - 125

Swansea University Authors: Adeline Paiement Orcid Logo, Xianghua Xie Orcid Logo

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DOI (Published version): 10.1109/TIP.2013.2286903

Abstract

This paper addresses the two inherently related problems of segmentation and interpolation of 3D and 4D sparse data by integrating integrate these stages in a level set framework. The method supports any spatial configurations of sets of 2D slices having arbitrary positions and orientations. We intr...

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Published in: IEEE Transactions on Image Processing
Published: 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa18012
first_indexed 2015-04-21T02:00:53Z
last_indexed 2019-07-24T04:10:55Z
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recordtype SURis
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spelling 2019-07-22T10:11:00.8300207 v2 18012 2014-05-29 Integrated Segmentation and Interpolation of Sparse Data f50adf4186d930e3a2a0f9a6d643cf53 0000-0001-5114-1514 Adeline Paiement Adeline Paiement true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2014-05-29 MACS This paper addresses the two inherently related problems of segmentation and interpolation of 3D and 4D sparse data by integrating integrate these stages in a level set framework. The method supports any spatial configurations of sets of 2D slices having arbitrary positions and orientations. We introduce a new level set scheme based on the interpolation of the level set function by radial basis functions. The proposed method is validated quantitatively and/or subjectively on artificial data and MRI and CT scans and is compared against the traditional sequential approach. Journal Article IEEE Transactions on Image Processing 23 1 110 125 Image Segmentation, Image Registration, Data Reconstruction, Integrated Segmentation and Registration, Level Set Method 31 1 2014 2014-01-31 10.1109/TIP.2013.2286903 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2019-07-22T10:11:00.8300207 2014-05-29T17:29:50.3874745 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Adeline Paiement 0000-0001-5114-1514 1 Majid Mirmehdi 2 Xianghua Xie 0000-0002-2701-8660 3 Mark C. K. Hamilton 4
title Integrated Segmentation and Interpolation of Sparse Data
spellingShingle Integrated Segmentation and Interpolation of Sparse Data
Adeline Paiement
Xianghua Xie
title_short Integrated Segmentation and Interpolation of Sparse Data
title_full Integrated Segmentation and Interpolation of Sparse Data
title_fullStr Integrated Segmentation and Interpolation of Sparse Data
title_full_unstemmed Integrated Segmentation and Interpolation of Sparse Data
title_sort Integrated Segmentation and Interpolation of Sparse Data
author_id_str_mv f50adf4186d930e3a2a0f9a6d643cf53
b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv f50adf4186d930e3a2a0f9a6d643cf53_***_Adeline Paiement
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Adeline Paiement
Xianghua Xie
author2 Adeline Paiement
Majid Mirmehdi
Xianghua Xie
Mark C. K. Hamilton
format Journal article
container_title IEEE Transactions on Image Processing
container_volume 23
container_issue 1
container_start_page 110
publishDate 2014
institution Swansea University
doi_str_mv 10.1109/TIP.2013.2286903
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 This paper addresses the two inherently related problems of segmentation and interpolation of 3D and 4D sparse data by integrating integrate these stages in a level set framework. The method supports any spatial configurations of sets of 2D slices having arbitrary positions and orientations. We introduce a new level set scheme based on the interpolation of the level set function by radial basis functions. The proposed method is validated quantitatively and/or subjectively on artificial data and MRI and CT scans and is compared against the traditional sequential approach.
published_date 2014-01-31T06:34:26Z
_version_ 1821386229180006400
score 10.969525

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