Single voxel vascular transport functions of arteries, capillaries and veins; and the associated arterial input function in dynamic susceptibility contrast magnetic resonance brain perfusion imaging

2021 ◽  
Vol 84 ◽  
pp. 101-114
Author(s):  
Torfinn Taxt ◽  
Erling Andersen ◽  
Radovan Jiřík
Keyword(s):  
Arterial Input Function ◽  
Brain Perfusion ◽  
Input Function ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Vascular Transport ◽  
Brain Perfusion Imaging ◽  
Single Voxel ◽  
Contrast Magnetic Resonance ◽  
Susceptibility Contrast

scholarly journals Phase‐based arterial input function measurements for dynamic susceptibility contrast MRI

2010 ◽  
Vol 64 (2) ◽  
pp. 358-368 ◽  
Author(s):  
Egbert J. W. Bleeker ◽  
Mark A. van Buchem ◽  
Andrew G. Webb ◽  
Matthias J. P. van Osch
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Dynamic Susceptibility Contrast Mri ◽  
Susceptibility Contrast

scholarly journals Evaluation of signal formation in local arterial input function measurements of dynamic susceptibility contrast MRI

2011 ◽  
Vol 67 (5) ◽  
pp. 1324-1331 ◽  
Author(s):  
Egbert J. W. Bleeker ◽  
Andrew G. Webb ◽  
Marianne A. A. van Walderveen ◽  
Mark A. van Buchem ◽  
Matthias J. P. van Osch
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Dynamic Susceptibility Contrast Mri ◽  
Susceptibility Contrast

scholarly journals Automated Determination of Arterial Input Function for Dynamic Susceptibility Contrast MRI from Regions around Arteries Using Independent Component Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Sharon Chen ◽  
Yu-Chang Tyan ◽  
Jui-Jen Lai ◽  
Chin-Ching Chang
Keyword(s):  
Independent Component Analysis ◽  
Contrast Agent ◽  
Arterial Input Function ◽  
Input Function ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
Independent Component ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Susceptibility Contrast

Purpose.Quantitative cerebral blood flow (CBF) measurement using dynamic susceptibility contrast- (DSC-) MRI requires accurate estimation of the arterial input function (AIF). The present work utilized the independent component analysis (ICA) method to determine the AIF in the regions adjacent to the middle cerebral artery (MCA) by the alleviated confounding of partial volume effect.Materials and Methods.A series of spin-echo EPI MR scans were performed in 10 normal subjects. All subjects received 0.2 mmol/kg Gd-DTPA contrast agent. AIFs were calculated by two methods:(1)the region of interest (ROI) selected manually and(2)weighted average of each component selected by ICA (weighted-ICA). The singular value decomposition (SVD) method was then employed to deconvolve the AIF from the tissue concentration time curve to obtain quantitative CBF values.Results. The CBF values calculated by the weighted-ICA method were 41.1 ± 4.9 and 22.1 ± 2.3 mL/100 g/min for cortical gray matter (GM) and deep white matter (WM) regions, respectively. The CBF values obtained based on the manual ROIs were 53.6 ± 12.0 and 27.9 ± 5.9 mL/100 g/min for the same two regions, respectively.Conclusion.The weighted-ICA method allowed semiautomatic and straightforward extraction of the ROI adjacent to MCA. Through eliminating the partial volume effect to minimum, the CBF thus determined may reflect more accurate physical characteristics of theT2⁎signal changes induced by the contrast agent.

Sign in / Sign up

Export Citation Format

Share Document