Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach
We propose a novel DL-based CT-free AC approach for cardiac SPECT, which can generate AC images without the need for a CT scan. By leveraging multi-scale features from both NAC SPECT and CT, the performance of CT-free AC is significantly enhanced, offering a promising alternative for future DL-based AC strategies.
Authors
- Pei Yang (ORCID: https://orcid.org/0000-0001-6566-8114)
- Jianan Wei (ORCID: https://orcid.org/0000-0001-7232-1434)
- Huawei Cai
- Lisha Jiang (ORCID: https://orcid.org/0000-0002-5602-3792)
- Liyun Yu (ORCID: https://orcid.org/0000-0002-4293-3066)
- Lin Li (ORCID: https://orcid.org/0000-0001-7553-6916)
- Zhen Zhao
- Zeao Zhang
- Quan Guo
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Guizhou Minzu University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1186/s12880-025-01570-y
- Citations
- 9
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 12.24
Funders
- National Natural Science Foundation of China
- Sichuan University
- West China Hospital, Sichuan University