Abstract #1822

A New Approach for Flexible Spatial Encoding Strategy in a Low-Field MRI System

Jiasheng Su¹ and Shaoying Huang¹

¹EPD, Singapore University of Technology and Design, Singapore, Singapore

For a low-field MRI system, the inverse calculation of the encoding matrix is time consuming and moreover, there is a blurry area at the center of the reconstructed image. To solve this problem, three strategies are proposed. Firstly, QR decomposition is applied to inverse the matrix to eliminate the blurry area. Secondly, the encoding matrix is separated so that the results of the matrix inverse can be reused. Last, the size of encoding matrix is reduced by optimizing sample points. One example is given, the calculation time is reduced, and the imaging quality is improved. The proposed approach increases the imaging capability of a low-field MRI system.

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