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Abstract #4623

In Vivo xSPEN Imaging with a Model-Based Reconstruction for Efficient Spatial Encoding in a Single-Sided Prostate MRI Scanner

Muller De Matos Gomes1, Meredith Sadinski1, Alek Nacev1, and William Allyn Grissom2
1Promaxo, Oakland, CA, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: New Trajectories & Spatial Encoding Methods, Image Reconstruction, Low-Field MRI, Spatiotemporal EncodingSingle-sided low-field MRI scanners can provide image guidance during interventions such as prostate biopsies without restricting surgical access, but efficient spatial encoding is a challenge. In this work we show how spatiotemporal encoding using the xSPEN method combined with a model-based image reconstruction enables swapping a conventionally phase encoded but large-matrix-size image dimension with a conventionally frequency encoded but small-matrix-size image dimension. The model-based reconstruction yields images free of distortions due to gradient non-linearity and shows overall improved in vivo male pelvic image quality.

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Keywords