x
Filter:
Filters applied
- Multimedia Library
- Albrecht, Moritz HRemove Albrecht, Moritz H filter
- de Santis, DomenicoRemove de Santis, Domenico filter
- CCTARemove CCTA filter
Publication Date
Please choose a date range between 2018 and 2018.
Keyword
- BMI1
- Body mass index1
- CAD1
- Coronary artery disease1
- Coronary computed tomography angiography1
- Coronary CT angiography1
- CT-derived fractional flow reserve1
- CT-FFR1
- CT-FFRML1
- CX1
- FBP1
- FFR1
- Filtered back-projection1
- Fractional flow reserve1
- ICA1
- Invasive catheter angiography1
- IRIS1
- Iterative reconstruction1
- Iterative reconstruction in image space1
- LAD1
- Left anterior descending artery1
- Left circumflex artery1
- Left main artery1
- LM1
Mulitmedia Library
1 Results
- Research Article
Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques
Journal of Cardiovascular Computed TomographyVol. 13Issue 6p331–335Published online: October 25, 2018- Domenico Mastrodicasa
- Moritz H. Albrecht
- U. Joseph Schoepf
- Akos Varga-Szemes
- Brian E. Jacobs
- Sebastian Gassenmaier
- and others
Cited in Scopus: 18The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFRML) has not been investigated. CT-FFRML values and processing time of two reconstruction algorithms were compared using an on-site workstation.