Adaptive registration of varying contrast-weighted images for improved tissue characterization (ARCTIC) : application to T1 mapping
- Submitting institution
-
King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 97614483
- Type
- D - Journal article
- DOI
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10.1002/mrm.25270
- Title of journal
- Magnetic Resonance in Medicine
- Article number
- -
- First page
- 1469
- Volume
- 73
- Issue
- 4
- ISSN
- 0740-3194
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- 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
- Myocardial T1 mapping is a quantitative MRI technique gaining clinical importance for the assessment of various cardiac conditions. In this technique, images acquired with different signal intensities and contrast need to be co-registered to generate a T1 map. In this work, an image registration approach was developed to simultaneously estimate both motion field and signal intensity variation and was combined with spatial regularisation constraints within a novel unified optimisation framework. This technique led to substantial improvement in T1 map quality, is routinely used clinically at Harvard, and has been used in >10 technical and clinical follow-up studies (https://doi.org/10.1002/mrm.25387, https://doi.org/10.1186/s12968-016-0301-y).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
