Multiprocessor scheduling implementation of the simultaneous multiple volume (SMV) navigator method.

TitleMultiprocessor scheduling implementation of the simultaneous multiple volume (SMV) navigator method.
Publication TypeJournal Article
Year of Publication2004
AuthorsKolmogorov V, Nguyen TD, Nuval A, Spincemaille P, Prince MR, Zabih R, Wang Y
JournalMagn Reson Med
Volume52
Issue2
Pagination362-7
Date Published2004 Aug
ISSN0740-3194
KeywordsAlgorithms, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Motion
Abstract

The simultaneous multiple volume (SMV) approach in navigator-gated MRI allows the use of the whole motion range or the entire scan time for the reconstruction of final images by simultaneously acquiring different image volumes at different motion states. The motion tolerance range for each volume is kept small, thus SMV substantially increases the scan efficiency of navigator methods while maintaining the effectiveness of motion suppression. This article reports a general implementation of the SMV approach using a multiprocessor scheduling algorithm. Each motion state is regarded as a processor and each volume is regarded as a job. An efficient scheduling that completes all jobs in minimal time is maintained even when the motion pattern changes. Initial experiments demonstrated that SMV significantly increased the scan efficiency of navigator-gated MRI.

DOI10.1002/mrm.20162
Alternate JournalMagn Reson Med
PubMed ID15282819
Grant ListHL62994 / HL / NHLBI NIH HHS / United States
HL64647 / HL / NHLBI NIH HHS / United States
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065