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Temporal resolution improvement in dynamic imaging
Author(s) -
Fredrickson Jill O.,
Pelc Norbert J.
Publication year - 1996
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/mrm.1910350425
Subject(s) - aliasing , dynamic imaging , temporal resolution , image resolution , computer science , signal (programming language) , resolution (logic) , field of view , signal to noise ratio (imaging) , imaging phantom , representation (politics) , computer vision , artificial intelligence , physics , optics , image processing , image (mathematics) , filter (signal processing) , digital image processing , programming language , politics , law , political science
Abstract In some dynamic imaging applications, only a fraction, 1/ n , of the field of view (FOV) may show considerable change during the motion cycle. A method is presented that improves the temporal resolution for a dynamic region by a factor, n , while maintaining spatial resolution at a cost of √n in signal‐to‐noise ratio (SNR). Temporal resolution is improved, or alternatively, total imaging time is reduced by reducing the number of phase encodes acquired for each temporal frame by 1/ n. To eliminate aliasing, a representation of the signal from the static outer portion of the FOV is constructed using all the raw data. The k ‐space data derived from this representation is subtracted from the original data sets, and the differences correspond to the dynamic portion of the FOV. Improved resolution results are presented in phantom studies, and in vivo phase contrast quantitative flow imaging.