Accelerated diffusion tensor imaging with self-supervision and fine-tuning

Accelerated diffusion tensor imaging with self-supervision and fine-tuning

Abstract Diffusion tensor imaging (DTI) is essential for assessing brain microstructure but requires long acquisition times, limiting clinical use. Recent deep learning (DL) approaches, such as SuperDTI or deepDTI, improve DTI metrics but demand large, high-quality datasets for training. We propose...

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Bibliographic Details
Main Authors: Phillip Martin, Diego Martin, Maria Altbach, Ali Bilgin
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Diffusion tensor imaging (DTI)
Deep learning (DL)
Self-supervised learning
Fractional anisotropy (FA)
Mean diffusivity (MD)
Online Access:https://doi.org/10.1038/s41598-025-96459-9
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https://doi.org/10.1038/s41598-025-96459-9

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