Speaker: Berkin Bilgic, PhD | Associate Professor of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, and Harvard Medical School
Date: Monday, June 17th, 2024
Time: 10:00 AM Central Time
Location: Zoom
Title: High-definition MRI: tailored encoding and reconstruction across scales and field strengths
Abstract: MRI has demonstrated ability to provide exquisite contrast for non-invasive imaging. What limits its efficiency and sensitivity are the tradeoffs between scan time, resolution, and signal-to-noise ratio (SNR). Our research is devoted to breaking this stalemate by developing new acquisition and reconstruction methods that simultaneously exploit MR physics, signal processing, deep learning, and hardware capabilities. We develop these technologies and pursue their applications to enable,
- high-resolution neuroimaging at the mesoscale to examine structural and functional architecture of the human
cortex in vivo, - efficient quantitative imaging to map biophysical tissue parameters and probe tissue composition,
- open-source imaging for harmonization of data acquisition, reconstruction and analysis, and easier dissemination,
- rapid and motion-robust abdominal and fetal imaging, and
- synergistic combination of self-supervised deep learning with physics-based image reconstruction.
The overarching goal in creating these techniques is to push the limits of spatial/temporal resolution and SNR of MRI to make it a better neuroscientific and clinical tool and improve efficiency of MRI exams to make them more cost effective and more widely used in the clinic.
Bio: Berkin is an Associate Professor in Radiology at the Martinos Center for Biomedical Imaging, Massachusetts General Hospital, and Harvard Medical School, where he leads the BRAIN (Bilgic Reconstruction Acquisition for Imaging Neuroscience) group that develops data acquisition and reconstruction techniques for MRI.