معرفی
Professor Daniel Bruce Ennis is a leading academic in cardiovascular MRI and radiology at Stanford University. He holds a joint appointment in the Department of Radiology and a courtesy appointment in Bioengineering. As Director of Radiology Research at the Veterans Affairs Palo Alto Health Care System, he oversees a growing research program. His career includes a Ph.D. in Biomedical Engineering from Johns Hopkins, a postdoc at Stanford, and a decade leading NIH-funded studies at UCLA. He specializes in developing advanced MRI methods for assessing cardiac structure, function, and remodeling, with a focus on translational applications in adult and pediatric populations.
Education:
- Ph.D. in Biomedical Engineering, Johns Hopkins University (2004)
- Postdoctoral Fellowship in Radiology and Cardiothoracic Surgery, Stanford University (2008)
- B.S. in Bioengineering, UC San Diego (1997)
Research Interests: Dr. Ennis pioneers MRI innovations for cardiovascular diseases, including cardiac diffusion tensor imaging (cDTI), motion-compensated diffusion encoding, and strain analysis using DENSE MRI. His work emphasizes early disease detection in conditions like Duchenne muscular dystrophy and aortic coarctation, leveraging hybrid mock circulatory loops and computational models. He also develops clinical tools for non-invasive pressure estimation and valve dynamics analysis.
Awards & Recognition:
- 2020 Distinguished Investigator, Academy for Radiology & Biomedical Imaging Research
- Multiple Distinguished Reviewer Awards from Magnetic Resonance in Medicine (2012-2019)
- Fellowships in Society for Cardiovascular Magnetic Resonance (2018) and ISMRM (2020)
Grants & Leadership: Active NIH study section member (ITD, BMIT), Deputy Editor of Magnetic Resonance in Medicine, and founder of ISMRM Research Exchange Program. Current NIH grants focus on cardiovascular MRI technology development and translational applications.
Labs & Teams: Leads the Radiological Sciences Lab at Stanford and collaborates with the CMR Group, Bio-X Institute, and Wu Tsai Human Performance Alliance. His team includes postdocs, graduate students, and clinical collaborators advancing MRI methodologies and cardiac device design.
