Eigenbin compression for reducing photon‐counting CT data size
The eigenbin compression method reduced photon-counting CT data size by a factor of two to four with less than 5% change in mean values, noise penalty of less than 10%-20%, and change in CNR ranging from 15% decrease to 24% increase. Eigenbin compression reduces the data transfer time and storage space of photon-counting CT data for applications that require rapid initial reconstructions.
Authors
- Jiahua Fan (ORCID: https://orcid.org/0000-0002-1629-3034)
- Taly Gilat Schmidt (ORCID: https://orcid.org/0000-0002-9840-0963)
- Jingwu Yao
- Zhye Yin (ORCID: https://orcid.org/0000-0003-1524-9258)
Institutions
- Marquette University (US)
- Medical College of Wisconsin (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1002/mp.17409
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.37