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

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

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

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

Department of Computer Science and Engineering

University at Buffalo

SUNY Buffalo

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We 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.

Original language	English
Pages (from-to)	1389-1390
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	17
Issue number	2
State	Published - 1995
Event	Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can Duration: Sep 20 1995 → Sep 23 1995

Cite this

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title = "Application of nonlinear system identification to magnetic resonance imaging and computed tomography",

abstract = "We 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.",

author = "Litt, \{Harold I.\} and Robert Spangler and Brody, \{Alan S.\} and Scott, \{Peter D.\}",

year = "1995",

language = "English",

volume = "17",

pages = "1389--1390",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

note = "Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) ; Conference date: 20-09-1995 Through 23-09-1995",

}

Application of nonlinear system identification to magnetic resonance imaging and computed tomography. / Litt, Harold I.; Spangler, Robert; Brody, Alan S. et al.
In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 17, No. 2, 1995, p. 1389-1390.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Application of nonlinear system identification to magnetic resonance imaging and computed tomography

AU - Litt, Harold I.

AU - Spangler, Robert

AU - Brody, Alan S.

AU - Scott, Peter D.

PY - 1995

Y1 - 1995

N2 - We 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.

AB - We 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.

UR - https://www.scopus.com/pages/publications/0029428551

M3 - Conference article

SN - 0589-1019

VL - 17

SP - 1389

EP - 1390

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

IS - 2

T2 - Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2)

Y2 - 20 September 1995 through 23 September 1995

ER -

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

Abstract

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