CT-based visualization of aortic valve morphology: from 3D energy-integrating CT to 4D photon counting CT
4D CT-based segmentation has the potential to dynamically capture aortic valve features that are relevant to risk stratification and surgical planning at high spatial resolution.
Authors
- Matthew A. Jolley (ORCID: https://orcid.org/0000-0002-5626-0130)
- N. Desai
- Jilei Hao
- Brittany J. Cannon
- Thomas G. Gleason (ORCID: https://orcid.org/0000-0001-5858-6073)
- Victor A. Ferrari (ORCID: https://orcid.org/0000-0001-8696-3243)
- Melanie Freas (ORCID: https://orcid.org/0000-0003-4621-2896)
- Jessica Nuñez
- Jinmao Dong
- Harold Litt
- Natalie Yushkevich
- Alison Pouch
- Joseph E. Bavaria
- Zaiyang Guo
- Shir Goldfinger
- John Kelly
Institutions
- Children's Hospital of Philadelphia (US)
- Thomas Jefferson University (US)
- Asheville Cardiology Associates (US)
- University of Pennsylvania (US)
- University of North Carolina at Asheville (US)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fcvm.2025.1721746
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Children's Hospital of Philadelphia
- University of Pennsylvania