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Evaluation of temporal and spatial characteristics of 2D HYPR processing using simulations
Author(s) -
Wu Yan,
Wieben Oliver,
Mistretta Charles A.,
Korosec Frank R.
Publication year - 2008
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.21564
Subject(s) - computer science , temporal resolution , computer vision , artificial intelligence , image resolution , waveform , signal (programming language) , noise (video) , projection (relational algebra) , algorithm , image (mathematics) , physics , optics , telecommunications , radar , programming language
Highly constrained back‐projection (HYPR) is a data acquisition and reconstruction method that provides very rapid frame update rates and very high spatial resolution for a time series of images while maintaining a good signal‐to‐noise ratio and high image quality. In this study we used simulations to evaluate the temporal and spatial characteristics of images produced using the HYPR algorithm. The simulations demonstrate that spatial accuracy is well maintained in the images and the temporal changes in signal intensity are represented with high fidelity. The waveforms representing signal intensity as a function of time obtained from regions‐of‐interest placed in simulated objects track the true curves very well, with variations from the truth occurring only when objects with very different temporal behavior are very close to each other. However, even when objects with different temporal characteristics are touching, their influences on each other are small. Magn Reson Med 59:1090–1098, 2008. © 2008 Wiley‐Liss, Inc.