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Abstract #4196

Improving SNR of high resolution multi-echo SWI using complex domain DL based denoising

Florintina C1, Sajith Rajamani1, Preetham Shankpal1, Suresh Joel1, Sudhanya Chatterjee1, Rohan Patil1, Ramesh Venkatesan1, Raja Sundaresan1, and Harsh Agarwal1
1GE Healthcare, Bengaluru, India

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial IntelligenceSWI is a high resolution MRI sequence, particularly sensitive to compounds which distort the local magnetic field making it useful in detecting blood products, calcium, etc. 3 and is used as part of brain MR imaging. The phase images are high pass filtered to remove the slow varying susceptibility changes and this is important to differentiate between para and diamagnetic substances. When this filtered phase image is used to accentuate the directly observed signal loss in the magnitude image, it is raised to a higher power and noise gets magnified as well, imparting undesirable effects in the SWI image.

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Keywords