Tracer Delay Correction of Cerebral Blood Flow with Dynamic Susceptibility Contrast-Enhanced MRI

Tracer delay correction of cerebral blood flow with dynamic susceptibility contrast-enhanced MRI.

Cerebral blood flow (CBF) and vascular mean transit time (MTT) can be determined by dynamic susceptibility contrast-enhanced magnetic resonance imaging and deconvolution with an arterial input function. However, deconvolution by a singular value decomposition (SVD) method is sensitive to the tracer delay that often occurs in patients with cerebrovascular disease. We investigated the effect of t...

Absolute reproducible quantification of Net Cerebral Blood Flow using Dynamic Susceptibility Contrast Enhanced MRI, and its application in disease

Dynamic susceptibility contrast MRI

Introduction Quantitative dynamic susceptibility contrast perfusion MRI (DSC-MRI) is based on the monitoring of the first passage of a bolus of contrast agent through the brain tissue and a brain-feeding artery. The contrast agent is injected rapidly by means of an MRinjector in the antecubital vein in the patients arm and a saline flush is used to push the contrast agent into the direction of ...

Effect of regional tracer delay on CBF in healthy subjects measured with dynamic susceptibility contrast-enhanced MRI: comparison with 15O-PET.

PURPOSE Deconvolution based on truncated singular value decomposition (SVD deconvolution) is a promising method for measuring cerebral blood flow (CBF) with dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI), but it has proved extremely sensitive to tracer delay. The purpose of this study was to investigate the effect of regional tracer delay on CBF determined by SVD ...

Improved Assessment of Regional Cerebral Blood Flow by Dynamic Susceptibility Contrast MRI Using a Kernel-based Deconvolution Approach

INTRODUCTION: In dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI), in order to estimate the Cerebral Blood Flow (CBF), a deconvolution operation between the arterial input function (AIF) and the voxel concentration of contrast agent (C(t)) must be performed to obtain the residue function (R(t)) [1]. Here, we propose a kernel based deconvolution approach that tackles the prob...