Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve
This approach has shown reliable results for all 150 patients. The results are both computationally and clinically user-friendly, with the accumulative pre and post-processing time of 15 min on a desktop computer (Intel i7 processor, 16 GB RAM). The proposed methodology has the potential to significantly assist clinicians with diagnosis.
Authors
- Arshia Eskandari
- Sara Malek
- Bahram Mohebbi (ORCID: https://orcid.org/0000-0002-9207-6971)
- Seyed Ehsan Parhizgar (ORCID: https://orcid.org/0000-0002-5292-6214)
- Mona Alimohammadi (ORCID: https://orcid.org/0000-0001-5974-6120)
- Alireza Jabbari
- Kian Javari (ORCID: https://orcid.org/0009-0001-6122-7028)
- Nima Rahmati (ORCID: https://orcid.org/0009-0009-5698-7223)
- Behrad Nikbakhtian
Institutions
- Iran University of Medical Sciences (IR)
- Shaheed Rajaei Cardiovascular Medical and Research Center (IR)
- K. N. Toosi University of Technology (IR)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-01-27
- DOI
- https://doi.org/10.3389/fbioe.2025.1438253
- Citations
- 3
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 6.02