Multi-echo SWI at 0.5T: Acquisition and AI-Reconstruction

Motivation: To explore the feasibility of multi-echo susceptibility weighted imaging at 0.5T as lower field strength MRI scanners are cost effective. Goal(s): Assess the effectiveness of swi at lower field strength as it is one of the important sequences in Brain MRIApproach: This study involves acquisition of 3D multi-echo gradient echo sequence to generate SWI with combination of protocol optimization specifically for 0.5T and Denoising both real and imaginary images using deep learning algorithm to boost SNRResults: Findings shows SWI at 0.5T can provide information about susceptibility variations in brain and helps improve diagnosis. Impact: SWI at 0.5T using deep learning-based reconstruction will increase the quality of image by improving SNR, reducing artefacts imparted by the noise in phase.

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
2024-11-26
DOI
https://doi.org/10.58530/2024/5165
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
0.00
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Multi-echo SWI at 0.5T: Acquisition and AI-Reconstruction

Rajagopalan Sundaresan, Suresh Joel, C Florintina, Ashok Kumar Reddy 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
Atomic and Subatomic Physics Research
article

Multi-echo SWI at 0.5T: Acquisition and AI-Reconstruction

Rajagopalan Sundaresan, Suresh Joel, C Florintina, Ashok Kumar Reddy, S. Rajamani, Ramesh Venkatesan, Arjun Narula, Mayuri Limbachiya
article en

Abstract

Motivation: To explore the feasibility of multi-echo susceptibility weighted imaging at 0.5T as lower field strength MRI scanners are cost effective. Goal(s): Assess the effectiveness of swi at lower field strength as it is one of the important sequences in Brain MRIApproach: This study involves acquisition of 3D multi-echo gradient echo sequence to generate SWI with combination of protocol optimization specifically for 0.5T and Denoising both real and imaginary images using deep learning algorithm to boost SNRResults: Findings shows SWI at 0.5T can provide information about susceptibility variations in brain and helps improve diagnosis. Impact: SWI at 0.5T using deep learning-based reconstruction will increase the quality of image by improving SNR, reducing artefacts imparted by the noise in phase.

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 81%
Atomic and Subatomic Physics Research
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