The research in our lab focuses on the development of new MRI acquisition technologies that can dramatically improve the speed, sensitivity and specificity of brain imaging. Our research explores approaches in designing tailored data acquisition & reconstruction algorithms using signal processing/optimization/ML methods, to take advantage of the underlying MR Physics and emerging hardware.
The goal is to create new imaging strategies that can help address important clinical & neuroscientific questions. The technologies that we have developed have enabled highly detailed brain data at unprecedented temporal and spatial resolutions, that have helped extract a wealth of quantitative information about brain structure and physiology. Some of these technologies have now been successfully translated as FDA-approved product, that are now being used daily in the clinic on the Siemens, GE and Phillips MRI scanners worldwide.
- – European Radiology
Clinical validation of Wave-CAIPI susceptibility-weighted imaging for routine brain MRI at 1.5 T
Objectives: Wave-CAIPI (Controlled Aliasing in Parallel Imaging) enables dramatic reduction in acquisition time of 3D MRI sequences such as 3D susceptibility-weighted imaging (SWI) but has not been clinically evaluated at 1.5 T. We sought to compare highly accelerated Wave-CAIPI SWI (Wave-SWI) with two alternative standard sequences, conventional three-dimensional SWI and two-dimensional T2*-weighted Gradient-Echo (T2*w-GRE), in patients undergoing routine brain MRI at 1.5 T.
- – Stroke
Detecting Silent Acute Microinfarcts in Cerebral Small Vessel Disease Using Submillimeter Diffusion-Weighted Magnetic Resonance Imaging: Preliminary Results
This research is part of a prospective observational study approved by the institutional review boards of the University Health Network and the University of Toronto. A board-certified neuroradiologist with 12 years of experience reviewed the submillimeter DWI, conventional DWI, and routine brain sequences side-by-side for each participant and identified acute and subacute microinfarcts.
The Academy for Radiology and Biomedical Imaging Research announces it 2023 Class of Distinguished Investigators. Established in 2012 to acknowledge and celebrate high levels of achievement in the field of imaging research. The award is presented at a ceremony held during the annual RSNA meeting. Recipients of the award will become members of the Council of Distinguished Investigators of the Academy.
- ISMRM
2023 ISMRM Magna Cum Laude Merit Award to Congyu Liao
"Flexible use of AC/DC coil for eddy-currents and concomitant fields mitigation with applications in diffusion-prepared non-Cartesian sampling" - Received Magna Cum Laude
- ISMRM
2023 ISMRM Magna Cum Laude Merit Award to Mahmut Yurt
"Semi-Supervision for Clinical Contrast-Weighted Image Synthesis from Magnetic Resonance Fingerprinting" - Received Magna Cum Laude
- ISMRM
2023 ISMRM Summa Cum Laude Merit Award to Mahmut Yurt
"Conditional Denoising Diffusion Probabilistic Models for Inverse MR Image Recovery" - Received Summa Cum Laude & AMPC award, highlighted as one of the top 100 abstracts in ISMRM
- ISMRM
2023 ISMRM Summa Cum Laude Merit Award to Yannick Brackenier
“Towards rapid and accurate navigators for motion and B0 estimation using QUEEN (QUantitatively-Enhanced parameter Estimation from Navigators)” - Received Summa Cum Laude