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Article

Few-shot learning for highly accelerated 3D time-of-flight MRA reconstruction

2025-04-19

Abstract excerpt

<h4>Purpose</h4> To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight magnetic resonance angiography (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time-consuming acquisition of high-resolution, whole-head angiograms. <h4>Methods</h4> A novel few-shot learning-based re...

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Literature Corpus work
413fb964-1ee4-5dff-9642-e5ac4c15911e
DOI
10.1101/2025.04.14.648710
Open publication

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Few-shot learning for highly accelerated 3D time-of-flight MRA reconstructionDOI 10.1101/2025.04.14.648710
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