Synthetic‐to‐real domain adaptation with deep learning for fitting the intravoxel incoherent motion model of diffusion‐weighted imaging
Author:
Affiliation:
1. School of Medical Information Engineering Guangzhou University of Chinese Medicine Guangzhou China
2. Department of Medical Imaging Center Nanfang Hospital Southern Medical University Guangzhou China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16031
Reference27 articles.
1. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.
2. Preoperative prediction of microvascular invasion of hepatocellular carcinoma with IVIM diffusion-weighted MR imaging and Gd-EOB-DTPA-enhanced MR imaging
3. IVIM improves preoperative assessment of microvascular invasion in HCC
4. Preoperative histogram analysis of intravoxel incoherent motion (IVIM) for predicting microvascular invasion in patients with single hepatocellular carcinoma
5. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.
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1. Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27
2. Intravoxel incoherent motion magnetic resonance imaging reconstruction from highly under-sampled diffusion-weighted PROPELLER acquisition data via physics-informed residual feedback unrolled network;Physics in Medicine & Biology;2023-08-18
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