Novel Deep Learning Reconstruction to Augment Contrast Enhancement: Initial Evaluation
Contrast enhancement with the new reconstruction is superior compared with the standard 120 kVp series approaching that of 50 keV DECT, but with improved perception of artifacts, noise texture, and resolution.
Authors
- Alicia M. Roman-Colon
- Risa Shigemasa
- Roland L. Bassett (ORCID: https://orcid.org/0000-0002-4534-2042)
- Taher Daoud (ORCID: https://orcid.org/0000-0001-9161-1314)
- Corey T. Jensen (ORCID: https://orcid.org/0000-0001-6540-8961)
- Xinming Liu (ORCID: https://orcid.org/0000-0001-6328-4803)
- Vincenzo K. Wong
- Gauruv S Likhari
- Sarah Pasyar
- Ke Li (ORCID: https://orcid.org/0000-0002-2672-2672)
- Yasuhiro Imai
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- Cancer Research And Biostatistics (US)
- Texas Children's Hospital (US)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1097/rct.0000000000001755
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00