Eddie Surer1, Cristina Rossi2, Anton S Becker2, Tim Finkenstaedt2,3, Moritz C Wurnig2, Antonios Valavanis1, Sebastian Winklhofer4. 1. Department of Neuroradiology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. 2. Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. 3. Department of Radiology, School of Medicine, University of California, San Diego, California, USA. 4. Department of Neuroradiology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. sebastian.winklhofer@usz.ch.
Abstract
PURPOSE: Intravoxel incoherent motion (IVIM) in diffusion-weighted magnetic resonance imaging (DW-MRI) attributes the signal attenuation to the molecular diffusion and to a faster pseudo-diffusion. Purpose of the study was to demonstrate the feasibility of IVIM for the investigation of intracranial cerebrospinal fluid (CSF) dynamics. METHODS: Cardiac-gated DW-MRI images with fifteen b-values (0-1300s/mm2) along three orthogonal directions (mediolateral (ML), anteroposterior (AP), and craniocaudal (CC)) were acquired during maximum systole and diastole in 10 healthy volunteers (6 males, mean age 36 ± 15 years). A pixel-wise bi-exponential fitting with an iterative nonparametric algorithm was carried out to calculate the following parameters: diffusion coefficient (D), fast diffusion coefficient (D*), and fraction of fast diffusion (f). Region of interest measurements were performed in both lateral ventricles. Comparison of IVIM parameters was performed among two cardiac cycle acquisitions and among the diffusion-encoding directions using a paired Student's t test. RESULTS: f significantly (p < 0.05) depended on the diffusion-encoding direction and on the cardiac cycle (diastole AP 0.30 ± 0.13, ML 0.22 ± 0.12, CC 0.26 ± 0.17; systole AP 0.45 ± 0.17, ML 0.34 ± 0.15, CC 0.40 ± 0.21). Neither a cardiac cycle nor a direction dependency was found among mean D values (which is in line with the expected intraventricular isotropic diffusion) and D* values (p > 0.05 each). CONCLUSION: The fraction of fast diffusion from IVIM is feasible to detect a direction-dependent and cardiac-dependent pulsatile CSF flow within the lateral ventricles allowing for quantitative monitoring of CSF dynamics. This technique might provide opportunities to further investigate the pathophysiology of various neurological disorders involving altered CSF dynamics.
PURPOSE: Intravoxel incoherent motion (IVIM) in diffusion-weighted magnetic resonance imaging (DW-MRI) attributes the signal attenuation to the molecular diffusion and to a faster pseudo-diffusion. Purpose of the study was to demonstrate the feasibility of IVIM for the investigation of intracranial cerebrospinal fluid (CSF) dynamics. METHODS: Cardiac-gated DW-MRI images with fifteen b-values (0-1300s/mm2) along three orthogonal directions (mediolateral (ML), anteroposterior (AP), and craniocaudal (CC)) were acquired during maximum systole and diastole in 10 healthy volunteers (6 males, mean age 36 ± 15 years). A pixel-wise bi-exponential fitting with an iterative nonparametric algorithm was carried out to calculate the following parameters: diffusion coefficient (D), fast diffusion coefficient (D*), and fraction of fast diffusion (f). Region of interest measurements were performed in both lateral ventricles. Comparison of IVIM parameters was performed among two cardiac cycle acquisitions and among the diffusion-encoding directions using a paired Student's t test. RESULTS: f significantly (p < 0.05) depended on the diffusion-encoding direction and on the cardiac cycle (diastole AP 0.30 ± 0.13, ML 0.22 ± 0.12, CC 0.26 ± 0.17; systole AP 0.45 ± 0.17, ML 0.34 ± 0.15, CC 0.40 ± 0.21). Neither a cardiac cycle nor a direction dependency was found among mean D values (which is in line with the expected intraventricular isotropic diffusion) and D* values (p > 0.05 each). CONCLUSION: The fraction of fast diffusion from IVIM is feasible to detect a direction-dependent and cardiac-dependent pulsatile CSF flow within the lateral ventricles allowing for quantitative monitoring of CSF dynamics. This technique might provide opportunities to further investigate the pathophysiology of various neurological disorders involving altered CSF dynamics.
Authors: Kazunobu Sawamoto; Hynek Wichterle; Oscar Gonzalez-Perez; Jeremy A Cholfin; Masayuki Yamada; Nathalie Spassky; Noel S Murcia; Jose Manuel Garcia-Verdugo; Oscar Marin; John L R Rubenstein; Marc Tessier-Lavigne; Hideyuki Okano; Arturo Alvarez-Buylla Journal: Science Date: 2006-01-12 Impact factor: 47.728
Authors: S Yamada; K Tsuchiya; W G Bradley; M Law; M L Winkler; M T Borzage; M Miyazaki; E J Kelly; J G McComb Journal: AJNR Am J Neuroradiol Date: 2014-07-10 Impact factor: 3.825
Authors: Anton S Becker; Andreas Boss; Markus Klarhoefer; Tim Finkenstaedt; Moritz C Wurnig; Cristina Rossi Journal: Neuroimage Date: 2017-12-08 Impact factor: 6.556
Authors: Gene Young Cho; Linda Moy; Sungheon G Kim; Steven H Baete; Melanie Moccaldi; James S Babb; Daniel K Sodickson; Eric E Sigmund Journal: Eur Radiol Date: 2015-11-28 Impact factor: 5.315
Authors: Matthew Grech-Sollars; Patrick W Hales; Keiko Miyazaki; Felix Raschke; Daniel Rodriguez; Martin Wilson; Simrandip K Gill; Tina Banks; Dawn E Saunders; Jonathan D Clayden; Matt N Gwilliam; Thomas R Barrick; Paul S Morgan; Nigel P Davies; James Rossiter; Dorothee P Auer; Richard Grundy; Martin O Leach; Franklyn A Howe; Andrew C Peet; Chris A Clark Journal: NMR Biomed Date: 2015-04 Impact factor: 4.044
Authors: Thomas Sartoretti; Elisabeth Sartoretti; Michael Wyss; Árpád Schwenk; Arash Najafi; Christoph Binkert; Carolin Reischauer; Jinyuan Zhou; Shanshan Jiang; Anton S Becker; Sabine Sartoretti-Schefer Journal: Front Neurosci Date: 2019-05-22 Impact factor: 4.677