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Abstract #2389

FGPA based accelerator for pMRI using coil compression

Tayaba Gul1, Omiar Inam2, Abdul Basit2, Nimra Naeem3, and Hammad Omer2
1Electrical and Computer Engineering Department, Comsats University Islamabd, Islamabad, Pakistan, 2Electrical and Computer Engineering Department, Comsats University Islamabad, Islamabad, Pakistan, 3Comsats University Islamabad, Islamabad, Pakistan

Synopsis

Keywords: Parallel Imaging, Cardiovascular

Parallel MRI (e.g., SENSE, GRAPPA) accelerates the data acquisition in modern clinical scanners using multiple receiver coils. However, it results in more computational demands on general purpose computers. Coil compression is a promising way to address the computational cost and memory requirements associated with a large number of receiver coils. In this work, a novel FPGA based hardware accelerator is designed to perform coil compression using QR decomposition. In-vivo reconstruction results from 30 coil cardiac data set, show that the proposed accelerator elevates the speed and memory constraints while preserving the image quality.

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Keywords