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.
– StrokeDetecting 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.
– Magn Reson MedHighly accelerated EPI with wave encoding and multi‐shot simultaneous multislice imaging
Wave-EPI allows highly accelerated single- and multi-shot EPI with reduced g-factor and artifacts and may facilitate clinical and neuroscientific applications of EPI by improving the spatial and temporal resolution in functional and diffusion imaging.
– Magn Reson MedMotion‐corrected 3D‐EPTI with efficient 4D navigator acquisition for fast and robust whole‐brain quantitative imaging
The proposed four-dimensional navigator acquisition provides reliable tracking of the head motion and B0 change with negligible SNR cost, equips the 3D-echo-planar time-resolved imaging technique for motion-robust and efficient quantitative imaging.
– Magn Reson MedBlip up‐down acquisition for spin‐ and gradient‐echo imaging (BUDA‐SAGE) with self‐supervised denoising enables efficient T2, T2*, para‐ and dia‐magnetic susceptibility mapping
In vivo results demonstrate the ability of BUDA-SAGE to provide whole-brain, distortion-free, high-resolution, multi-contrast images and quantitative T2/T2* maps, as well as yielding para- and dia-magnetic susceptibility maps. Estimated quantitative maps showed comparable values to conventional mapping methods in phantom and in vivo measurements.
– Magn Reson MedSNR‐efficient distortion‐free diffusion relaxometry imaging using accelerated echo‐train shifted echo‐planar time‐resolving imaging (ACE‐EPTI)
ACE-EPTI was demonstrated to be an efficient and powerful technique for high-resolution diffusion imaging and diffusion-relaxometry, which provides high SNR, distortion- and blurring-free, and time-resolved multi-echo images by a fast 3-shot acquisition.
– RadiologyPromotion to Instructor (faculty) to Congyu Liao!
Congratulations to Congyu Liao for his promotion to Instructor (faculty) in the department of Radiology, Stanford.
2022 ISMRM Annual Meeting Program Committee
Congratulations to Uten Yarach for being selected to join the Annual Meeting Program Committee (AMPC) of the ISMRM!
– ISMRM2022 ISMRM Society Award Winners
Congratulations to Congyu Liao and Nan Wang for being selected as ISMRM junior fellows!
– MRI WorkshopEPFL Workshop on ‘New Horizons in MRI’ - Speaker: Prof. Kawin Setsompop
Prof. Setsompop to speak at the "New Horizons in MRI" workshop in EPFL. Event broadcast live on Sep 24th!
– WaveFDA-approved clinical product: Wave-CAIPI SWI
Our wave-CAIPI acquisition technology is now an FDA-approved clinical product on Siemens scanners worldwide!
– Doctoral Thesis: MRI techniques for quantitative and microstructure imagingCongratulation to Zijing Dong for his successful thesis defense!
This thesis aims at overcoming these challenges and providing efficient microstructure imaging for the human brain with higher speed, SNR, resolution, and motion robustness. Thesis Supervisor(s): Kawin Setsompop, Elfar Adalsteinsson (co-advisor)
