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Dynamic image reconstruction: MR movies from motion ghosts
Author(s) -
Xiang QingSan,
Henkelman R. Mark
Publication year - 1992
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880020612
Subject(s) - computer vision , artificial intelligence , harmonics , motion (physics) , computer science , point (geometry) , image (mathematics) , phase (matter) , dynamic imaging , object (grammar) , physics , image processing , digital image processing , mathematics , geometry , quantum mechanics , voltage
It has been previously shown that an image with motion ghost artifacts can be decomposed into a ghost mask superimposed over a ghost‐free image. The present study demonstrates that the ghost components carry useful dynamic information and should not be discarded. Specifically, ghosts of different orders indicate the intensity and phase of the corresponding harmonics contained in the quasi‐periodically varying spin‐density distribution. A summation of the ghosts weighted by appropriate temporal phase factors can give a time‐dependent dynamic image that is a movie of the object motion. This dynamic image reconstruction technique does not necessarily require monitoring of the motion and thus is easy to implement and operate. It also has a shorter imaging time than point‐by‐point imaging of temporal variation, because the periodic motion is more efficiently sampled with a limited number of harmonics recorded in the motion ghosts. This technique was tested in both moving phantoms and volunteers. It is believed to be useful for dynamic imaging of time‐varying anatomic structures, such as in the cardiovascular system.