ZSSPI : Zero-Shot Scan Specific Parallel Imaging MRI Reconstruction using Attention based mechanism

Motivation: Existing zero-shot MRI reconstruction methods struggle to impose effective constraints on non-sampled k-space regions, leading to degraded reconstruction quality. Goal(s): To improve reconstruction quality by effectively handling non-sampled k-space regions. Approach: Introduce AKSM (Attention-based K-space Selective Mechanism) that selectively focuses on critical nonsampled k-space regions with indirect constraints. Results: Our experiments on the FastMRI brain dataset [1] demonstrate superior performance across multiple acceleration factors (4×, 8×) and sampling patterns (Gaussian, uniform), consistently outperforming existing zero-shot methods [2] in both reconstruction quality and computational efficiency. Impact: Our AKSM enables robust zero-shot MRI reconstruction by effectively utilizing undersampled k-space data. This breakthrough allows for significant scan time reduction without compromising image quality, potentially transforming clinical practice and making advanced MRI more accessible to patients.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2777
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

ZSSPI : Zero-Shot Scan Specific Parallel Imaging MRI Reconstruction using Attention based mechanism

Taejoon Eo, Dosik Hwang, Jin-Ho Joo, Hyeseong Kim et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

ZSSPI : Zero-Shot Scan Specific Parallel Imaging MRI Reconstruction using Attention based mechanism

Taejoon Eo, Dosik Hwang, Jin-Ho Joo, Hyeseong Kim, Hyeyeon Won
article en

Abstract

Motivation: Existing zero-shot MRI reconstruction methods struggle to impose effective constraints on non-sampled k-space regions, leading to degraded reconstruction quality. Goal(s): To improve reconstruction quality by effectively handling non-sampled k-space regions. Approach: Introduce AKSM (Attention-based K-space Selective Mechanism) that selectively focuses on critical nonsampled k-space regions with indirect constraints. Results: Our experiments on the FastMRI brain dataset [1] demonstrate superior performance across multiple acceleration factors (4×, 8×) and sampling patterns (Gaussian, uniform), consistently outperforming existing zero-shot methods [2] in both reconstruction quality and computational efficiency. Impact: Our AKSM enables robust zero-shot MRI reconstruction by effectively utilizing undersampled k-space data. This breakthrough allows for significant scan time reduction without compromising image quality, potentially transforming clinical practice and making advanced MRI more accessible to patients.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Advanced MRI Techniques and Applications
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ZSSPI : Zero-Shot Scan Specific Parallel Imaging MRI Reconstruction using Attention based mechanism — Taejoon Eo, Dosik Hwang, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS