Premium
Dynamic imaging by model estimation
Author(s) -
Liang ZhiPei,
Jiang Hong,
Hess Christopher P.,
Lauterbur Paul C.
Publication year - 1997
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(1997)8:6<551::aid-ima7>3.0.co;2-9
Subject(s) - computer science , dynamic imaging , temporal resolution , object (grammar) , estimation theory , algorithm , dynamic contrast enhanced mri , identification (biology) , magnetic resonance imaging , artificial intelligence , image (mathematics) , image processing , physics , optics , digital image processing , medicine , botany , biology , radiology
This article presents a model‐based method for dynamic magnetic resonance imaging. This method models the time variation of an object by a generalized harmonic model, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results are shown to demonstrate that this method is able to produce high‐resolution time‐sequential images from a dynamic object with periodic or quasi‐periodic time variations. © 1997 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 8, 551–557, 1997