Publications by authors named "Jean-David Maes"
Purpose: Joint bright- and black-blood MRI techniques provide improved scar localization and contrast. Black-blood contrast is obtained after the visual selection of an optimal inversion time (TI) which often results in uncertainties, inter- and intra-observer variability and increased workload. In this work, we propose an artificial intelligence-based algorithm to enable fully automated TI selection and simplify myocardial scar imaging.
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- The study aimed to develop an image-based algorithm to automate the selection of inversion time (TI) for black-blood late gadolinium enhancement (BL-LGE) cardiac imaging, making it easier to implement in clinical settings.* -
- The algorithm identifies the optimal TI from scout images by analyzing pixel intensity within a defined region of interest (ROI), and it was validated against expert evaluations in both retrospective and prospective scenarios.* -
- Results showed that the automated process significantly reduced selection time from about 17 seconds to approximately 40 milliseconds and achieved a higher agreement with expert assessments than experts had with each other, highlighting its potential for clinical use.*