Leveraging ML for Fetal Acquisition and Analysis

Speaker: Ellen Grant, MD, Director, Fetal-Neonatal Neuroimaging and Developmental Science Center; Borjan Gagoski, PhD, Faculty MR Physician, Fetal-Neonatal Neuroimaging and Developmental Science Center; Junshen Xu, PhD, Student, at MIT

Date: February 11, 2022 at 9:30AM - 10:30AM

Fetal magnetic resonance imaging is challenging to perform as the fetus continually moves during image acquisition. As a result, the technologist must know how to "chase the fetus" to get images orthogonal to the fetal brain and repeat these acquisitions until images without motion are obtained. In this talk we will discuss how ML approaches are being used to accelerate and automate fetal imaging acquisition. Fetal imaging can be a challenge, but fetal motion also provides insight into the neurological and musculoskeletal development of the fetus. We will also describe how we have used ML approaches to track and quantify fetal motion and the potential neuroscientific and clinical applications.


Publications

Sathyanarayana A, El Atrache R, Jackson M, Cantley S, Reece L, Ufongene C, Loddenkemper T, Mandl KD, Bosl WJ. Measuring Real-Time Medication Effects From Electroencephalography. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society 2022.

Weitzman ER, Kossowsky J, Blakemore LM, Cox R, Dowling DJ, Levy O, Needles EW, Levy S. Acceptability of a Fentanyl Vaccine to Prevent Opioid Overdose and Need for Personalized Decision-Making. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2022.

Weitzman ER, Sherman AC, Levy O. Pediatric SARS-CoV-2 Vaccines: Perceptions and Attitudes from the FDA Public Commentary. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2022.