Improved assessment of placenta accreta with fast 3D MRI
CU Anschutz PI: Nicholas Dwork (Biomedical Informatics; Radiology; Applied Mathematics)
CU Boulder PI: Stephen Becker (Applied Mathematics)
Existing collaboration ($125K)
Track 2: AI, Advanced Computing, Quantum & Human Health
Magnetic Resonance Imaging (MRI) is limited by its long scan time and the requirement that the subject remain still; this precludes the usage of 3D MRI of the abdomen during pregnancy due to the ever-present motions of the fetus. With the AB Nexus award, we will develop deep-learning based methods to generate high-quality and anatomically accurate images from data collected with a faster MRI scan, which will mitigate the effects of fetal motion.