Anders Gould1, Zhensen Chen2, Duygu Baylam Geleri3, Niranjan Balu4, Zechen Zhou5, Li Chen6, Baocheng Chu4, Kristi Pimentel3, Gador Canton3, Thomas Hatsukami7, Chun Yuan4. 1. Vascular Imaging Lab, Department of Radiology, University of Washington, Seattle, WA, United States; Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, IL, United States. 2. Vascular Imaging Lab, Department of Radiology, University of Washington, Seattle, WA, United States; BioMolecular Imaging Center, Department of Radiology, University of Washington, Seattle, WA, United States. Electronic address: zhensenchen@gmail.com. 3. Vascular Imaging Lab, Department of Radiology, University of Washington, Seattle, WA, United States. 4. Vascular Imaging Lab, Department of Radiology, University of Washington, Seattle, WA, United States; BioMolecular Imaging Center, Department of Radiology, University of Washington, Seattle, WA, United States. 5. Philips Research North America, Cambridge, MA, United States. 6. Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States. 7. Department of Surgery, University of Washington, Seattle, WA, United States.
Abstract
PURPOSE: To explore feasibility of using the vessel length on time-of-flight (TOF) or simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) MRA as an imaging biomarker for brain blood flow, by using arterial spin labeling (ASL) perfusion imaging and 3D phase contrast (PC) quantitative flow imaging as references. METHODS: In a population of thirty subjects with carotid atherosclerotic disease, the visible intracranial arteries on TOF and SNAP were semi-automatically traced and the total length of the distal segments was calculated with a dedicated software named iCafe. ASL blood flow was calculated automatically using the recommended hemodynamic model. PC blood flow was obtained by generating cross-sectional arterial images and semi-automatically drawing the lumen contours. Pearson correlation coefficients were used to assess the associations between the different whole-brain or hemispheric blood flow measurements. RESULTS: Under the imaging protocol used in this study, TOF vessel length was larger than SNAP vessel length (P < 0.001). Both whole-brain TOF and SNAP vessel length showed a correlation with whole brain ASL and 3D PC blood flow measurements, and the correlation coefficients were higher for SNAP vessel length (TOF vs ASL: R = 0.554, P = 0.002; SNAP vs ASL: R = 0.711, P < 0.001; TOF vs 3D PC: R = 0.358, P = 0.052; SNAP vs 3D PC: R = 0.425, P = 0.019). Similar correlation results were observed for the hemispheric measurements. Hemispheric asymmetry index of SNAP vessel length also showed a significant correlation with hemispheric asymmetry index of ASL cerebral blood flow (R = 0.770, P < 0.001). CONCLUSION: The results suggest that length of the visible intracranial arteries on TOF or SNAP MRA can serve as a potential imaging marker for brain blood flow.
PURPOSE: To explore feasibility of using the vessel length on time-of-flight (TOF) or simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) MRA as an imaging biomarker for brain blood flow, by using arterial spin labeling (ASL) perfusion imaging and 3D phase contrast (PC) quantitative flow imaging as references. METHODS: In a population of thirty subjects with carotid atherosclerotic disease, the visible intracranial arteries on TOF and SNAP were semi-automatically traced and the total length of the distal segments was calculated with a dedicated software named iCafe. ASL blood flow was calculated automatically using the recommended hemodynamic model. PC blood flow was obtained by generating cross-sectional arterial images and semi-automatically drawing the lumen contours. Pearson correlation coefficients were used to assess the associations between the different whole-brain or hemispheric blood flow measurements. RESULTS: Under the imaging protocol used in this study, TOF vessel length was larger than SNAP vessel length (P < 0.001). Both whole-brain TOF and SNAP vessel length showed a correlation with whole brain ASL and 3D PC blood flow measurements, and the correlation coefficients were higher for SNAP vessel length (TOF vs ASL: R = 0.554, P = 0.002; SNAP vs ASL: R = 0.711, P < 0.001; TOF vs 3D PC: R = 0.358, P = 0.052; SNAP vs 3D PC: R = 0.425, P = 0.019). Similar correlation results were observed for the hemispheric measurements. Hemispheric asymmetry index of SNAP vessel length also showed a significant correlation with hemispheric asymmetry index of ASL cerebral blood flow (R = 0.770, P < 0.001). CONCLUSION: The results suggest that length of the visible intracranial arteries on TOF or SNAP MRA can serve as a potential imaging marker for brain blood flow.
Authors: Benjamin H Brinkmann; David T Jones; Matt Stead; Noojan Kazemi; Terence J O'Brien; Elson L So; Hal Blumenfeld; Brian P Mullan; Gregory A Worrell Journal: J Cereb Blood Flow Metab Date: 2011-09-21 Impact factor: 6.200
Authors: Li Chen; Mahmud Mossa-Basha; Niranjan Balu; Gador Canton; Jie Sun; Kristi Pimentel; Thomas S Hatsukami; Jenq-Neng Hwang; Chun Yuan Journal: Magn Reson Med Date: 2017-10-17 Impact factor: 4.668
Authors: David C Alsop; John A Detre; Xavier Golay; Matthias Günther; Jeroen Hendrikse; Luis Hernandez-Garcia; Hanzhang Lu; Bradley J MacIntosh; Laura M Parkes; Marion Smits; Matthias J P van Osch; Danny J J Wang; Eric C Wong; Greg Zaharchuk Journal: Magn Reson Med Date: 2014-04-08 Impact factor: 4.668