Automated inversion time selection for black-blood late gadolinium enhancement cardiac imaging in clinical practice.

ABSTRACT:

Objective

To simplify black-blood late gadolinium enhancement (BL-LGE) cardiac imaging in clinical practice using an image-based algorithm for automated inversion time (TI) selection.

Materials and methods

The algorithm selects from BL-LGE TI scout images, the TI corresponding to the image with the highest number of sub-threshold pixels within a region of interest (ROI) encompassing the blood-pool and myocardium. The threshold value corresponds to the most recurrent pixel intensity of all scout images within the ROI. ROI dimensions were optimized in 40 patients' scans. The algorithm was validated retrospectively (80 patients) versus two experts and tested prospectively (5 patients) on a 1.5 T clinical scanner.

Results

Automated TI selection took ~ 40 ms per dataset (m

SUBMITTER: Maillot A 

PROVIDER: S-EPMC10667449 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature