Improved deep learning‐based IVIM parameter estimation via the use of more “realistic” simulated brain data
Our method owns superior performance in parametric map quality, parameter estimation precision, and lesion characterization in IVIM parameter estimation, with strong resistance to noise.
Authors
- Dairong Cao (ORCID: https://orcid.org/0000-0002-0051-3143)
- Shuhui Cai (ORCID: https://orcid.org/0000-0003-2767-9490)
- Congbo Cai (ORCID: https://orcid.org/0000-0002-0600-8594)
- Qinqin Yang (ORCID: https://orcid.org/0000-0002-8927-3931)
- Jiechao Wang (ORCID: https://orcid.org/0000-0003-1735-9143)
- Zhong Chen (ORCID: https://orcid.org/0000-0002-1473-2224)
- Zhen Xing (ORCID: https://orcid.org/0000-0002-2104-4681)
- Lu Wang (ORCID: https://orcid.org/0000-0003-1535-8411)
Institutions
- Fujian Medical University (CN)
- Xiamen University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1002/mp.17583
- Citations
- 7
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- National Natural Science Foundation of China