| Title: | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data |
| Journal: | PLoS One |
| Published: | 14 Feb 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/30763349/ |
| DOI: | https://doi.org/10.1371/journal.pone.0212272 |
Publication 1972
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Contact for queries: luca.biasiolli@cardiov.ox.ac.uk or s.e.petersen@qmul.ac.ukUK Biobank: Automated aortic lumen segmentation results
Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these methods require visual quality control and manual localization of the region of interest (ROI) of ascending (AA) and proximal descending (PDA) aorta, which limit the analysis in largescale population-based studies. Using 5,100 scans from UK Biobank, this study sought to develop and validate a fully automated method to
1) detect and locate the ROIs of AA and PDA, and
2) provide a quality control mechanism.
The proposed method for automated AA and PDA localization was extremely accurate and the automatically derived detection probabilities provided a robust mechanism to detect low quality scans for further human review. Applying the proposed localization and quality control techniques promises at least a ten-fold reduction in human involvement without sacrificing any accuracy.
Please note that this return contains data for the second tranche of results returned by application 2964. Further data are available from return 1866
8 Keywords
- Algorithms
- Aorta
- Biological Specimen Banks
- Humans
- Image Processing, Computer-Assisted
- Magnetic Resonance Angiography
- Quality Control
- Supervised Machine Learning
1 Author
- Biasiolli L et al.
1 Application
| Application ID | Title |
|---|---|
| 2964 | Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
3 Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 1866 | 2964 | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data | 15 Jan 2020 |
| 1971 | 2964 | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data | 6 Feb 2020 |
| 3245 | 2964 | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data | 18 Mar 2021 |
Enabling scientific discoveries that improve human health