Enhanced Partial Fourier MRI With Zero-Shot Deep Untrained Priors

Enhanced Partial Fourier MRI With Zero-Shot Deep Untrained Priors

We present a novel method for partial Fourier reconstruction using a zero-shot unsupervised deep learning approach. Specifically, this method enhances partial Fourier reconstruction by integrating the traditional phase constraint with recent advancements in zero-shot deep learning techniques. Recent...

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Bibliographic Details
Main Authors: So Hyun Kang, Jihoo Kim, Jaejin Cho, Clarissa Zimmerman Cooley, Amir Heydari, Berkin Bilgic, Tae Hyung Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Zero-shot learning
partial Fourier
accelerated MRI reconstruction
untrained networks
Online Access:https://ieeexplore.ieee.org/document/10771755/
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https://ieeexplore.ieee.org/document/10771755/

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