Dynamic imaging by object modeling and estimation

Author

Jiang, Hong ; Liang, Zhi-Pei

Author_Institution

Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

645

Abstract

This paper presents a novel dynamic imaging method. This method models the object by a time-varying function, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results demonstrate that this method can produce time-sequential images from a time-varying object with both high temporal and spatial resolution. The proposed method has been validated in magnetic resonance imaging by computer simulation, phantom study and animal study

Keywords

biomedical NMR; frequency-domain analysis; image reconstruction; image sequences; medical image processing; modelling; parameter estimation; MRI; animal study; computer simulation; dynamic imaging; estimation; high spatial resolution; high temporal resolution; magnetic resonance imaging; object modeling; parameter identification problem; phantom study; time-sequential images; time-varying function; time-varying object; tomographic imaging; Abdomen; Equations; Fourier transforms; Frequency domain analysis; Frequency measurement; High-resolution imaging; Image sampling; Magnetic resonance imaging; Spatial resolution; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.531449

Filename

531449