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Hybrid technique for dynamic imaging
Author(s) -
Parrish Todd B.,
Hu Xiaoping
Publication year - 2000
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/1522-2594(200007)44:1<51::aid-mrm9>3.0.co;2-k
Subject(s) - computer science , dynamic imaging , image resolution , field (mathematics) , signal (programming language) , dynamic contrast enhanced mri , resolution (logic) , keyhole , algorithm , computer vision , artificial intelligence , image (mathematics) , image processing , mathematics , magnetic resonance imaging , digital image processing , medicine , materials science , welding , pure mathematics , metallurgy , radiology , programming language
A number of data acquisition strategies have been introduced to speed up the image acquisition in dynamic settings. One such technique is the keyhole approach, which is based on reducing k ‐space coverage, and consequently the spatial resolution, of the dynamic information. Another is based on reducing the field of view of the dynamic information. These two techniques are complementary in that one reduces the field of view in k ‐space and the other does so in the spatial domain. A hybrid approach which combines the two is described in this study. In numerical simulations and experimental studies, this hybrid approach more accurately depicts the signal changes, outperforming the two techniques from which it is derived. Magn Reson Med 44:51–55, 2000. © 2000 Wiley‐Liss, Inc.