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Journal article 1139 views

Integrated Segmentation and Interpolation of Sparse Data

Adeline Paiement, 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, 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
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first_indexed 2015-04-21T02:00:53Z
last_indexed 2019-07-24T04:10:55Z
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spelling 2019-07-22T10:11:00.8300207 v2 18012 2014-05-29 Integrated Segmentation and Interpolation of Sparse Data f50adf4186d930e3a2a0f9a6d643cf53 Adeline Paiement Adeline Paiement true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2014-05-29 FGHSS 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 Humanities and Social Sciences - Faculty COLLEGE CODE FGHSS 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 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 2014-01-31T03:21:00Z
_version_ 1763750613201453056
score 11.013148

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