An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration
- Submitting institution
-
King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 97587408
- Type
- D - Journal article
- DOI
-
10.1016/j.media.2014.05.005
- Title of journal
- Medical Image Analysis
- Article number
- -
- First page
- 1299
- Volume
- 18
- Issue
- 8
- ISSN
- 1361-8415
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Sliding organ motion poses a challenge to traditional motion correction methods that tend to over-regularise deformations, leading to suboptimal and physiologically implausible motion modelling. This work significantly extends our award-winning MICCAI 2013 conference paper, presenting “A surprisingly simple and efficient implicit model of discontinuities to allow sliding motion in diffeomorphic registration” (MICCAI 2013 Young Scientist award, miccai.org), to also quantify locally discontinuous motion, both at the lung surfaces and fissures, with highly accurate motion recovery and no prior organ localisation required. It has led to a new CRUK project award that explores serial CT for lung nodule tracking (C1519/A27375).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
