Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1669
Title: Extension of rapid phase-contrast magnetic resonance imaging using BRISK in multidirectional flow
Authors: Hershey, Bradley L. 
Doyle, Mark W. 
Anayiotos, Andreas 
metadata.dc.contributor.other: Αναγιωτός, Ανδρέας
Major Field of Science: Engineering and Technology
Field Category: ENGINEERING AND TECHNOLOGY
Keywords: Hemodynamics;Cardiovascular system;Computer simulation;Magnetic resonance imaging
Issue Date: Jul-2005
Source: Annals of Biomedical Engineering, 2005, vol. 33, no. 7, pp. 929-936
Volume: 33
Issue: 7
Start page: 929
End page: 936
Journal: Annals of Biomedical Engineering 
Abstract: We developed BRISK-CON-VPS, a rapid phase-contrast cine approach that is a hybrid of the BRISK-VPS (Block Regional Interpolation Scheme for k-space) and conventional (CONV-VPS) scanning employing k-space views per segment (VPS). BRISK-CON-VPS allows data acquisition approximately four times faster than CONV-VPS imaging and has the advantage compared to BRISK-VPS that it can potentially be incorporated into real-time applications. In BRISK-CON-VPS contiguous regions of k-space are sampled using a views per segment factor that is varied as a function of distance from the k-space center. Computational fluid dynamics (CFD) data were used to simulate CONV-VPS, BRISK-VPS, and BRISK-CON-VPS. BRISK-CON-VPS was simulated by incrementing the VPS progressively with increasing distance from the k-space origin while BRISK-VPS was simulated using a uniform VPS applied to the sparse sampling scheme. Simulations showed that up to a base VPS of 5, both BRISK-CON-VPS and BRISK-VPS retained excellent axial-velocity accuracy. Secondary in-plane velocity flow fields were well represented with BRISK-CON-VPS and BRISK-VPS up to a base VPS of 3. CONV-VPS, BRISK-CON-VPS, and BRISK-VPS were applied in vivo and shown to provide comparable quantitative flow data. BRISK-CON-VPS accomplishes breath-hold acquisitions as efficiently as BRISK-VPS, but without requiring data interpolation or under-sampling k-space.
URI: https://hdl.handle.net/20.500.14279/1669
ISSN: 00906964
DOI: 10.1007/s10439-005-3681-y
Rights: © Springer
Type: Article
Affiliation: University of Alabama at Birmingham 
Affiliation : University of Alabama at Birmingham 
Publication Type: Peer Reviewed
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