Quantitative MR cerebral blood flow using ARMA-based deconvolution: preliminary results

Author

Lu, H. ; Smith, MR ; Frayne, R.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

2

fYear

2002

fDate

2002

Firstpage

1171

Abstract

A system for determining quantitative cerebral blood flow (CBF) from dynamic susceptibility contrast (DSC) images was developed. The system uses a novel deconvolution method, based on autoregressive and moving-average (ARMA) processing, to extract CBF from the DSC images. The ARMA-based method is expected to he less sensitive to many factors compared to the more commonly used singular-value decomposition (SVD) method. In selected acute stroke patients, the SVD- and ARMA-derived CBF results were equivalent.

Keywords

autoregressive moving average processes; biomedical MRI; blood flow measurement; brain; deconvolution; frequency-domain analysis; haemorheology; medical image processing; ARMA-based method; MRI perfusion; acute stroke patients; contrast agent; deconvolution method; dynamic susceptibility contrast images; frequency domain signals; mean-transit time; quantitative cerebral blood flow; spectrum compensation; Blood flow; Brain; Convolution; Deconvolution; Diseases; Filtering; Radiology; Signal analysis; Time measurement; Volume measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7514-9

Type

conf

DOI

10.1109/CCECE.2002.1013114

Filename

1013114