Journal article 1245 views 319 downloads
Registration and Modeling from Spaced and Misaligned Image Volumes
Adeline Paiement,
Majid Mirmehdi,
Xianghua Xie 
,
Mark C. K. Hamilton
,
Mark C. K. Hamilton
IEEE Transactions on Image Processing, Volume: 25, Issue: 9, Pages: 4379 - 4393
Swansea University Authors:
Adeline Paiement, Xianghua Xie
-
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DOI (Published version): 10.1109/TIP.2016.2586660
Abstract
We present an integrated registration, segmentation, and shape interpolation framework to model objects from 3D and 4D volumes made up of spaced and misaligned slices having arbitrary relative positions. The framework was validated on artificial data and tested on real MRI and CT scans. The complete...
| Published in: | IEEE Transactions on Image Processing |
|---|---|
| ISSN: | 1941-0042 |
| Published: |
(IEEE) Institute of Electrical and Electronics Engineers
2016
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa28997 |
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| Abstract: |
We present an integrated registration, segmentation, and shape interpolation framework to model objects from 3D and 4D volumes made up of spaced and misaligned slices having arbitrary relative positions. The framework was validated on artificial data and tested on real MRI and CT scans. The complete framework performed significantly better than the sequential approach of registration followed by segmentation and shape interpo- lation. |
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| Keywords: |
Modeling methodologies, registration, segmentation, shape interpolation, level set methods, RBF. |
| College: |
Faculty of Science and Engineering |
| Issue: |
9 |
| Start Page: |
4379 |
| End Page: |
4393 |