Automated measurement of detectability index in CT imaging: Development and validation
Software to automatically measure the d' has been successfully developed. It is easily accessible with a straightforward, fast, accurate, and intuitive workflow.
Authors
- Evi Setiawati (ORCID: https://orcid.org/0000-0003-3591-5748)
- Zaenal Arifin (ORCID: https://orcid.org/0000-0003-0396-4553)
- Eko Hidayanto (ORCID: https://orcid.org/0000-0002-3438-0369)
- Ariij Naufal (ORCID: https://orcid.org/0000-0002-4218-6259)
- Toshioh Fujibuchi (ORCID: https://orcid.org/0000-0001-9713-6155)
- Choirul Anam (ORCID: https://orcid.org/0000-0003-0156-6797)
- Fajar Arianto (ORCID: https://orcid.org/0000-0003-0855-9477)
- Geoff Dougherty (ORCID: https://orcid.org/0000-0003-3187-3595)
Institutions
- Diponegoro University (ID)
- Kyushu University (JP)
- California State University, Channel Islands (US)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1002/acm2.70352
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.35