A Denoising Diffusion Probability Model for T1W contrast-enhanced Synthesis based on multi-parametric MRI
Motivation: T1W Contrast-enhanced (T1CE) images are obtained with gadolinium administration, but there might be adverse effects related to gadolinium retention. Goal(s): To generated T1CE images from multi-parametric MRI (mp-MRI) without contrast agents. Approach: T1W, T1map, SWI and QSM were obtained from patients with brain metastasis. A novel approach for generating non-contrast enhanced images from mp-MRI was proposed based on the diffusion model, which was trained in 91 cases, evaluated and test 28 and 27 cases respectively. Results: The proposed model achieves the highest SSIM of 0.78, and the synthetic images are capable of revealing the details of brain tissues. Impact: Multi-parametric MRI based DDPM provides a feasible approach for generating contrast enhanced images from non-contrast multi-parametric MRI, therefore circumventing the issue of adverse effects of gadolinium retention, which will benefit patients who have to undergo contrast enhanced MRI scans.
Authors
- Zehua Zhang (ORCID: https://orcid.org/0000-0002-0648-8954)
- Li Yi (ORCID: https://orcid.org/0000-0003-0216-831X)
- Ruimin Li (ORCID: https://orcid.org/0000-0002-3405-1143)
- Xiaoyun Liang (ORCID: https://orcid.org/0000-0002-1851-3408)
- Shenli Jia (ORCID: https://orcid.org/0000-0003-2782-2234)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-8495-2804)
- Huijing Xiang (ORCID: https://orcid.org/0000-0002-7465-3392)
- Peian Hu (ORCID: https://orcid.org/0000-0002-2441-5361)
- Yuqi Duan (ORCID: https://orcid.org/0009-0007-1126-7949)
- Lei Chen (ORCID: https://orcid.org/0000-0002-8000-7872)
- Chunxiang Li (ORCID: https://orcid.org/0000-0002-5587-4181)
- Zhengrong Zhou (ORCID: https://orcid.org/0009-0007-1653-9771)
- Rong Luo (ORCID: https://orcid.org/0000-0003-2473-620X)
- Mengzhou Sun (ORCID: https://orcid.org/0009-0001-2201-1910)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/1753
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00