- Oral presentation
- Open Access
Automatic scar segmentation in dual inversion recovery images is more consistent with manual outlining than in conventional inversion recovery images
© Byrne et al; licensee BioMed Central Ltd. 2015
- Published: 3 February 2015
- Late Gadolinium Enhancement
- Inversion Recovery
- Automate Segmentation
- Manual Segmentation
- Normal Myocardium
The dual inversion recovery (dual IR) pulse sequence has recently been shown to improve blood suppression and infarct delineation in late gadolinium enhancement (LGE) images of myocardial infarction. This resulted in significantly lower inter-observer variability in manual outlining of scar and higher expert confidence in scar detection and transmurality when compared with conventional inversion recovery (IR) images.
Computer algorithms have been shown to improve the accuracy of scar segmentation within IR images. We sought to develop and optimise a set of computer algorithms to quantify scar in both IR and dual IR images.
The Dice Similarity Coefficient (DSC) was used to assess agreement between algorithmic and manual segmentations, indicating optimal performance.
The SOS algorithms quantify scar in both IR and dual IR images of the left ventricle. They show excellent agreement with manual segmentation performed by an expert cardiologist. Mean DSC for dual IR segmentation (0.80) exceeds that for IR images (0.66). This likely reflects the superior blood suppression of the dual IR sequence, allowing the expert to adopt a consistent approach to manual segmentation. Future work will focus on using the same methods to match algorithm performance to histology.
The original study on which this work is based was funded by the British Heart Foundation Research Excellence Centre and the NIHR Biomedical Research Centre.
Please note that references have not been included due to concerns over institutional disclosure, but are available upon request.
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