Clinical blood flow quantification with segmented k-space magnetic resonance phase velocity mapping

• Published in: Journal of magnetic resonance imaging Vol. 17; no. 1; pp. 65 - 71
• Main Authors: Chatzimavroudis, George P., Zhang, Haosen, Halliburton, Sandra S., Moore, James R., Simonetti, Orlando P., Schvartzman, Paulo R., Stillman, Arthur E., White, Richard D.
• Format: Journal Article
• Language: English
• Published: New York Wiley Subscription Services, Inc., A Wiley Company 01.01.2003
• Subjects: Aged; aorta; Aorta - pathology; blood flow; Blood Flow Velocity - physiology; Blood Volume - physiology; Cardiovascular Diseases - pathology; Cardiovascular Diseases - physiopathology; Female; flow quantification; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; magnetic resonance phase velocity mapping; Male; Middle Aged; Regression Analysis; segmented k-space; velocity
• ISSN: 1053-1807; 1522-2586
• DOI: 10.1002/jmri.10231

Purpose To evaluate the accuracy of segmented k‐space magnetic resonance phase velocity mapping (PVM) in quantifying aortic blood flow from through‐plane velocity measurements. Materials and Methods Two segmented PVM schemes were evaluated, one with seven lines per segment (seg‐7) and one with nine lines per segment (seg‐9), in twenty patients with cardiovascular disease. A non‐segmented (non‐seg) PVM acquisition was also performed to provide the reference data. Results There was agreement between the aortic flow curves acquired with segmented and non‐segmented PVM. The calculated systolic and total flow volume per cycle from the seg‐7 and the seg‐9 scans correlated and agreed with the flow volumes from the non‐seg scans (differences < 5%). Sign tests showed that there were no statistically significant differences (P‐values < 0.05) between the segmented and the non‐segmented PVM measurements. Seg‐9, which was the fastest among the three sequences, provided adequate spatial and temporal resolution (> 10 phases per cycle). Conclusion Segmented k‐space PVM shows great clinical potential in blood flow quantification. J. Magn. Reson. Imaging 2003;17:65–71. © 2002 Wiley‐Liss, Inc.