Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579741
