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 MRI
Approach: 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 SNR
Results: 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.
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