CorLab | Advanced Cardiovascular Imaging Lab
Research
The research focus of the Advanced Cardiovascular Imaging Lab is the development of next-generation imaging technologies for cardiovascular disease. As an interdisciplinary team of Radiologists, Physicists, Computational Scientists, and Engineers, we solve complex problems and develop new tools, to improve our scientific understanding of cardiovascular disease and the clinical care of patients.
Principal Investigator: Walter RT Witschey, PhD
Support
Our work is supported by the National Institutes of Health, National Heart, Lung and Blood Institute, the McCabe Foundation, the Penn Center for Precision Medicine, and the Institute for Translational Medicine and Therapeutics.
Keywords
machine learning, artificial intelligence, magnetic resonance imaging, magnetic resonance spectroscopy, computed tomography, image reconstruction, autonomous systems, cardiovascular disease, metabolic imaging, electrodynamics, computer vision, arrhythmias, ischemic heart disease, heart attack, image-derived phenotypes, bioinformatics
Recent News
***We are actively recruiting postdoctoral fellows for projects in Computational Science, Biomedical Imaging, and other positions!***
Congratulations to PhD student Marina Awad on the acceptance of her abstract titled "Associations between Myocardial Susceptibility and Reactive Oxygen Species in the Subacute and Chronic Period of Myocardial Infarction" to the Society for Cardiovascular Magnetic Resonance (SCMR) 29th Annual Scientific Sessions!
Amy MiHyun Jang (MS3) presented “Advancing Opportunistic Detection of Osteoporosis Through AI-Driven CT Segmentation” at the Society for Imaging Informatics in Medicine Conference On Artificial Intelligence In Medical Imaging (SIIM-CAIMI)
Authors: Amy MiHyun Jang, Jeffrey T. Duda, PhD, Arijitt Borthakur, PhD, MBA, James C. Gee, PhD, Christopher C. Carson, PhD, Anurag Verma, PhD, Daniel J. Rader, MD, Charles E. Kahn, Jr., MD, MS, Walter R. Witschey, PhD, Hersh Sagreiya, MD
Catch CorLab presentations at RSNA 2025!
Richard Zhuang (Poster Presentation)
Title: Application of Deep Learning-Based CT Quantification of Muscle, Visceral Fat, and Intramuscular Fat to Identify Laboratory and Clinical Risk Factors for Sarcopenia
Date/Time: Monday, December 1, 2025 at 9AM-9:30AM
Raafae Zaki (Poster Presentation)
Title: Enhancing Diagnostic Concordance and Quality Assurance through Automated MRI and Arthroscopy Report Comparison Using Large Language Models
Date/Time: Monday, December 1, 2025 at 12:15 PM - 12:45 PM
Garv Mehdiratta (Oral Presentation)
Title: A Multi-Hospital Study of Automated Opportunistic Screening for Hepatic Steatosis
Date/Time: Monday, December 1, 2025 at 2:15-2:25 PM
Congratulations to Anindro on his accepted abstract to the American Heart Association Scientific Sessions 2025!
Abstract Title: Asymmetric Pulmonary Artery Geometry Drives Branch-Specific Shear Stress Patterns in Repaired Tetralogy of Fallot: A Substudy of the Single Center Cardiac Magnetic Resonance Outcomes Registry – Tetralogy of Fallot
- Session Title: Potpourri 3: Pediatric and Congenital Cardiology
- Session Date and Time: November 10, 2025 from 10:30 AM to 11:30 AM
- Presentation Number: Mo3033
- Session Location: Clinical Science Zone 2 (Science & Technology Hall)
Congratulations to grad student Rakesh Sharma on his accepted abstract to the American College of Surgeons 2025 Clinical Congress!
Title: Muscle Quality On Preoperative Imaging Is Associated With Postoperative Pancreatic Fistula Risk
Session: SF308 | Hepatobiliary and Pancreas IV
Date and Time: 10/7/2025 9:45:00 AM - 10/7/2025 11:15:00 AM Central Time