A Target-Free Harmonization Method for MRI
In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts, can hinder image analysis and degrade the performance of deep learning models trained on data from specific target domains. MRI image harmonization aims to address these issues by aligning source domain images to the target domain images while preserving biological information such as anatomical structures. However, most existing harmonization approaches require access to both source and target domain data in training or test time. This dependence induces data sharing between institutions, raising concerns abo...
| Authors | Minjun Kim, Dong Ju Mun, Hwihun Jeong et al. |
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| Primary category | eess.IV |
| Published | 2 May 2026 |
| Last updated at source | 2 May 2026 |
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