title: Time-resolved MR imaging by automatic data segmentation.
abstract: A method for time-resolved imaging that provides a flexible trade-off between imaging time and temporal resolution is presented. It is based on a view order selection technique that automatically segments the acquired raw data into appropriate temporal frames. When used with cardiac monitoring and phase-contrast imaging, data similar to that obtained with a conventional gated phase-contrast sequence are acquired rapidly. For many applications, the temporal resolution can be reduced enough to permit imaging within a breath-hold interval, while still allowing accurate time-averaged flow quantitation. This is a general technique that can be implemented within a variety of pulse sequences and can resolve other motion cycles, including the respiratory cycle.
authors.affiliation: Department of Radiology, Richard M. Lucas Center for Magnetic Resonance Spectroscopy and Imaging, Stanford University, CA 94305-5488.
authors.forename: J O
authors.initials: JO
authors.lastname: Fredrickson
authors.forename: N J
authors.initials: NJ
authors.lastname: Pelc
mesh_terms: D000465:Algorithms; D001011:Aorta / Q000033:anatomy & histology / Q000502:physiology; D016477:Artifacts; D006321:Heart / Q000502:physiology; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008955:Models, Cardiovascular; D008961:Models, Structural; D009040:Motion Pictures; D011169:Portal Vein / Q000033:anatomy & histology / Q000502:physiology; D012039:Regional Blood Flow / Q000502:physiology; D012077:Renal Artery / Q000033:anatomy & histology / Q000502:physiology; D012119:Respiration / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D014132:Trachea / Q000033:anatomy & histology / Q000502:physiology