18660238. AUTOMATIC INVERSION TIME SELECTION FOR FLOW-INDEPENDENT DARK BLOOD DELAYED ENHANCEMENT (Siemens Healthineers AG)
AUTOMATIC INVERSION TIME SELECTION FOR FLOW-INDEPENDENT DARK BLOOD DELAYED ENHANCEMENT
Organization Name
Inventor(s)
Teodora Marina Chitiboi of Hamburg DE
Andreea Bianca Popescu of Constanta RO
Wolfgang Rehwald of Chapel Hill NC US
AUTOMATIC INVERSION TIME SELECTION FOR FLOW-INDEPENDENT DARK BLOOD DELAYED ENHANCEMENT
This abstract first appeared for US patent application 18660238 titled 'AUTOMATIC INVERSION TIME SELECTION FOR FLOW-INDEPENDENT DARK BLOOD DELAYED ENHANCEMENT
Original Abstract Submitted
Systems and methods for automatically selecting an optimal inversion time for Flow-Independent Dark-blood Delayed Enhancement (FIDDLE). Deep learning is used to train a neural network to perform myocardium segmentation on REF images associated with FIDDLE images. A separate neural network is trained to find the intersection of the recovery curves of normal myocardium and blood pool. The intersection is used to determine the optimal inversion time.