Improved assessment of placenta accreta with fast 3D MRI
ÌýÌýCU Anschutz PI: (Biomedical Informatics;ÌýRadiology;ÌýApplied Mathematics)
ÌýÌýCU Â鶹ӰԺ PI: Stephen Becker (Applied Mathematics)
​ÌýÌýExisting collaboration ($125K)
ÌýÌýTrack 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.