Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach
Svärm, Linus ; Enqvist, Olof ; Kahl, Fredrik LU and Oskarsson, Magnus LU
(2015)
2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI)
p.824-828
- Abstract
- We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8519275
- author
- Svärm, Linus
; Enqvist, Olof
; Kahl, Fredrik
LU
and Oskarsson, Magnus
LU
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Computer vision, image registration, medical image analysis, optimization
- host publication
- Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
- editor
- Ourselin, Sebastien and Rittscher, Jens
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI)
- conference location
- New York, United States
- conference dates
- 2015-04-16 - 2015-04-19
- external identifiers
-
- scopus:84944322842
- DOI
- 10.1109/ISBI.2015.7163998
- language
- English
- LU publication?
- yes
- id
- ea7c6a4d-1084-42d9-bfa2-de648162e08c (old id 8519275)
- date added to LUP
- 2016-04-04 11:00:42
- date last changed
- 2022-03-23 08:55:17
@inproceedings{ea7c6a4d-1084-42d9-bfa2-de648162e08c,
abstract = {{We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.}},
author = {{Svärm, Linus and Enqvist, Olof and Kahl, Fredrik and Oskarsson, Magnus}},
booktitle = {{Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on}},
editor = {{Ourselin, Sebastien and Rittscher, Jens}},
keywords = {{Computer vision; image registration; medical image analysis; optimization}},
language = {{eng}},
pages = {{824--828}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach}},
url = {{http://dx.doi.org/10.1109/ISBI.2015.7163998}},
doi = {{10.1109/ISBI.2015.7163998}},
year = {{2015}},
}