Abstract #2864

Magnetic Resonance Perfusion Quantification using QR-based Deconvolution

Phaneendra Kumar Yalavarthy¹, Kasireddy Viswanatha Reddy¹, and Junki Lee²

¹Samsung R & D Institute, Bangalore, India, ²Medical System Lab, Samsung Electronics, Suwon, Korea, Republic of

The standard approaches for performing the deconvolution in post-processing of DSC-MRI data is singular value decomposition (SVD) and Frequency-Domain Deconvolution (FDD), which are known to be relatively less accurate and requires a careful choice of threshold to obtain physiologically meaningful results. In this work, a method that utilizes QR decomposition to perform the deconvolution is proposed. The QR method is a well-known dimensionality reduction technique for solving ill-conditioned linear system of equations and known to have better numerical properties in obtaining a regularized solution. It is shown that the proposed method provides superior results compared to the standard deconvolution methods.

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