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

Chen KY, Borglund EM, Postema EC, Dunn AG, Bourgeois FT. Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: A cross-sectional analysis. Clinical trials (London, England) 2022.

Le Naour J, Sztupinszki Z, Carbonnier V, Casiraghi O, Marty V, Galluzzi L, Szallasi Z, Kroemer G, Vacchelli E. A loss-of-function polymorphism in compromises therapeutic outcome in head and neck carcinoma patients. Oncoimmunology 2022.

Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National Retrospective EHR Study. Journal of medical Internet research 2022.