Liver fat quantification using deep silicon photon-counting CT: an <i>in silico</i> imaging study
The results indicate that dSi-PCCT could enable accurate liver fat quantification across a wide range of FFs in multiple objects. These findings suggest that the potential utility of dSi-PCCT for accurate liver fat assessment should be explored <i>in vivo</i>.
Authors
- Benjamin Wildman‐Tobriner (ORCID: https://orcid.org/0000-0002-7311-5947)
- Ehsan Samei (ORCID: https://orcid.org/0000-0001-7451-3309)
- Fredrik Grönberg (ORCID: https://orcid.org/0000-0003-1428-8351)
- Mridul Bhattarai (ORCID: https://orcid.org/0000-0003-4745-0546)
- Ehsan Abadi (ORCID: https://orcid.org/0000-0002-9123-5854)
- Zhye Yin (ORCID: https://orcid.org/0000-0003-1524-9258)
- Raj Kumar Panta
- Paul Segars
Institutions
- Duke University (US)
- General Electric (Spain) (ES)
- Massachusetts General Hospital (US)
- Advanced Imaging Research (United States) (US)
- Applied Sciences Laboratory (United States) (US)
- Duke University Hospital (US)
Publication Details
- Journal
- Radiology Advances
- Published
- 2025-08-30
- DOI
- https://doi.org/10.1093/radadv/umaf031
- Citations
- 1
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Institutes of Health