Dec. 8, 2017 from 3 p.m. to 4 p.m.
Hess 8th Floor Conference Room 8-101
Hess Center for Science & Medicine
1470 Madison Avenue
- Frank Preiswerk, PhD
- Postdoctoral Fellow,
- Biomedical Image Computing
- Department of Radiology
- Brigham & Women’s Hospital
- Harvard Medical School, Boston
Abstract: The combination of magnetic resonance imaging (MRI) and ultrasound (US) data opens up interesting applications in medical imaging and image-guided therapy (IGT) in the presence of organ motion. We developed a platform for hybrid MRI and US data acquisition and processing. A small, MR compatible single-element ultrasound transducer, or “organ-configuration motion” (OCM) sensor, is used to acquire a rich signature of organ configuration at high speed. Using machine learning techniques, these data are correlated with simultaneously acquired MR images, to boost the temporal resolution of MRI by an order of magnitude. After the algorithm has seen enough data, images can be estimated even outside the MR bore. In this talk I will give an overview on both the hardware and software aspects of the project, and demonstrate various applications of OCM-MRI in the context of IGT.