Journal article 1134 views
Integrated Segmentation and Interpolation of Sparse Data
,
Mark C. K. Hamilton
IEEE Transactions on Image Processing, Volume: 23, Issue: 1, Pages: 110 - 125
Swansea University Authors:
Adeline Paiement, Xianghua Xie
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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...
| Published in: | IEEE Transactions on Image Processing |
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| Published: |
2014
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa18012 |
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| 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 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. |
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| Keywords: |
Image Segmentation, Image Registration, Data Reconstruction, Integrated Segmentation and Registration, Level Set Method |
| College: |
Faculty of Science and Engineering |
| Issue: |
1 |
| Start Page: |
110 |
| End Page: |
125 |