Application of nonlinear system identification to magnetic resonance imaging and computed tomography

Author

Litt, Harold I. ; Spangler, Robert ; Brody, Alan S. ; Scott, Peter D.

Author_Institution

Dept. of Biophys. Sci., State Univ. of New York, Buffalo, NY, USA

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1389

Abstract

The authors have examined the nonlinear behavior of MRI and CT using the Wiener-Volterra model of nonlinear systems, which allows evaluation of the type and quantitative significance of nonlinearities. The calculated nonlinear kernels revealed at least second order quantitatively significant nonlinearities in both CT and MRI related to spatial factors, such as geometric distortions and edge effects, and grey map transformations between modalities. Kernel calculations were complicated in CT image transformation mappings by partial volume effects, and in MRI mappings by magnetic susceptibility related image distortion

Keywords

biomedical NMR; computerised tomography; identification; nonlinear systems; CT image transformation; MRI; Wiener-Volterra model; computed tomography; edge effects; geometric distortions; grey map transformations; kernel calculations; magnetic resonance imaging; magnetic susceptibility related image distortion; medical diagnostic imaging; nonlinear system identification; partial volume effects; spatial factors; Biomedical imaging; Biomedical optical imaging; Computed tomography; Image analysis; Kernel; Magnetic resonance imaging; Nonlinear distortion; Nonlinear optics; Nonlinear systems; Optical distortion;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579741

Filename

579741