Review on the Development and Application of Compressed Sensing in MRI for Disease Diagnosis

Zihe Su

doi:10.47297/wspbdsWSP2752-630503.20250501

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Review on the Development and Application of Compressed Sensing in MRI for Disease Diagnosis

Volume 5, Issue 1

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Review on the Development and Application of Compressed Sensing in MRI for Disease Diagnosis
Review on the Development and Application of Compressed Sensing in MRI for Disease Diagnosis
Department of Optoelectronic Information Science and Engineering, Nankai University, Tianjin, 300073, China
Vol. 5, Issue 1, Pages: 14-18(2025)
Published：19 March 2025
DOI：10.47297/wspbdsWSP2752-630503.20250501
Accepted：

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Su Zihe.Review on the Development and Application of Compressed Sensing in MRI for Disease Diagnosis[J].Biomedical Data Science,2025,05(01):14-18.
DOI：

Su Zihe.Review on the Development and Application of Compressed Sensing in MRI for Disease Diagnosis[J].Biomedical Data Science,2025,05(01):14-18. DOI： 10.47297/wspbdsWSP2752-630503.20250501.

摘要

Abstract

Magnetic Resonance Imaging (MRI) plays an irreplaceable role in clinical diagnosis due to its superior soft tissue contrast and a wide range of imaging parameters. However

its clinical efficiency is limited by prolonged scan times and sensitivity to motion artifacts. This study focuses on the clinical application of Compressive Sensing (CS) in MRI

employing a combination of systematic literature review and practical case analysis to comprehensively explore its recent developments and applications. The findings indicate that CS

based on the principles of sparsity and incoherent sampling

can achieve high-quality image reconstruction under undersampling conditions

significantly improving imaging efficiency. Nevertheless

challenges remain

including artifact issues at high acceleration rates

the need for algorithm optimization

and computational complexity. With the integration of emerging technologies such as Artificial Intelligence and multi-center clinical validation

CS technology holds promise for broader adoption and standardization in the MRI field

providing strong support for precision medicine and personalized treatment.

关键词

Keywords

references

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