The self‐supervised fitting method based on similar neighborhood information of voxels for intravoxel incoherent motion diffusion‐weighted MRI
The IVIM-CNN<sub>similar</sub> method uses similar neighborhood information to assist IVIM parameter fitting by reducing the impact of noise on voxel parameter estimation, thereby improving the accuracy of parameter estimation and increasing the potential for IVIM clinical application.
Authors
- Tianxian Li
- Lingfeng Luo
- Chen Ye (ORCID: https://orcid.org/0000-0002-4209-2383)
- Ming Jun Zhong (ORCID: https://orcid.org/0000-0002-9132-3782)
- Lihui Wang (ORCID: https://orcid.org/0000-0002-3558-5112)
- Yuemin Zhu (ORCID: https://orcid.org/0000-0001-6814-1449)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Guizhou University (CN)
- Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (FR)
- Guizhou Provincial People's Hospital (CN)
- Institut National des Sciences Appliquées de Lyon (FR)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1002/mp.17825
- Citations
- 2
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Natural Science Foundation of China