Fast Analytical Spectral Filtering Methods for Magnetic Resonance Perfusion Quantification

Reddy, Kasireddy V and Mitra, Abhishek and Yalavarthy, Phaneendra K (2017) Fast Analytical Spectral Filtering Methods for Magnetic Resonance Perfusion Quantification. In: 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), AUG 16-20, 2016, Orlando, FL, pp. 1224-1227.

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Abstract

The deconvolution in the perfusion weighted imaging (PWI) plays an important role in quantifying the MR perfusion parameters. The PWI application to stroke and brain tumor studies has become a standard clinical practice. The standard approach for this deconvolution is oscillatory-limited singular value decomposition (oSVD) and frequency domain deconvolution (FDD). The FDD is widely recognized as the fastest approach currently available for deconvolution of MR perfusion data. In this work, two fast deconvolution methods (namely analytical fourier filtering and analytical showalter spectral filtering) are proposed. Through systematic evaluation, the proposed methods are shown to be computationally efficient and quantitatively accurate compared to FDD and oSVD.

Item Type:	Conference Proceedings
Series.:	IEEE Engineering in Medicine and Biology Society Conference Proceedings
Publisher:	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Additional Information:	38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Orlando, FL, AUG 16-20, 2016
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	10 Jun 2017 04:41
Last Modified:	03 Nov 2018 09:15
URI:	http://eprints.iisc.ac.in/id/eprint/57202

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