Abstract #0210

A 3D Surface Coil with Deep Learning Based Noise Reduction for Parotid Gland Imaging

Sayim Gokyar¹, Chenyang Zhao¹, Shajan Gunamony^2,3, Jiaruo Yan², Jonathan West⁴, Niels Kokot⁴, and Danny JJ Wang^1,5

¹USC Stevens Neuroimaging and Informatics Institute, Los Angeles, CA, United States, ²MR Coiltech Limited, Glasgow, UK, Glasgow, United Kingdom, ³Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, ⁴Department of Otolaryngology - Head and Neck Surgery, LAC+USC Medical Center, Keck Medicine of USC, Los Angeles, CA, United States, ⁵Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: New Devices, NeuroParotid salivary gland neoplasms occur in conspicuous locations near the facial nerve and have a risk for malignant transformation – making early diagnosis and treatment essential. Here we present a novel three-dimensional surface coil (3D Coil) architecture and a deep learning-based noise reduction method that offers twice higher signal to noise ratio compared to single channel surface coil for parotid gland imaging at 7T.

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