Autoregressive moving average model for quantification of cerebral blood flow using dynamic susceptibility contrast-enhanced MRI
- Book ID
- 117551144
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 29 KB
- Volume
- 1256
- Category
- Article
- ISSN
- 0531-5131
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## Purpose: To compare absolute cerebral blood flow (cbf) estimates obtained by model-free arterial spin labeling (asl) and dynamic susceptibility contrast mri (dsc-mri), corrected for partial volume effects (pves). ## Methods: Cbf was measured using dsc-mri and model-free asl (quantitative signa
## Abstract An accurate determination of the arterial input function (AIF) is necessary for quantification of cerebral blood flow (CBF) using dynamic susceptibility contrastโenhanced magnetic resonance imaging. In this study, we developed a method for obtaining the AIF automatically using fuzzy cโm
## Abstract In dynamicโsusceptibility contrast magnetic resonance perfusion imaging, the cerebral blood flow (CBF) is estimated from the tissue residue function obtained through deconvolution of the contrast concentration functions. However, the reliability of CBF estimates obtained by deconvolutio
## Abstract ## Purpose To compare absolute cerebral blood flow (CBF) estimates obtained by dynamic susceptibility contrast MRI (DSCโMRI) and Xeโ133 SPECT. ## Materials and Methods CBF was measured in 20 healthy volunteers using DSCโMRI at 3T and Xeโ133 SPECT. DSCโMRI was accomplished by gradient