Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here