A nonlinear biomechanical model based registration method for aligning prone and supine MR breast images
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1963
- Type
- D - Journal article
- DOI
-
10.1109/TMI.2013.2294539
- Title of journal
- IEEE Transactions on Medical Imaging
- Article number
- -
- First page
- 682
- Volume
- 33
- Issue
- 3
- ISSN
- 0278-0062
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- 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
- Yes
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 44
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work impacted the state of the art by presenting a solution for predicting the deformation of breasts from diagnosis imaging position to surgical operation position. It led to an invited review paper “A review of biomechanically informed breast image registration” (Physics in Medicine and Biology, 61(2), 2016) from the Editor of Physics in Medicine and Biology. It subsequently led to another FP7-ICT Research Grant (ID: 600948).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
