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Is correction necessary when clinically determining quantitative cerebral perfusion parameters from multi-slice
M Salluzzi1, R Frayne, M R Smith
1Department of Electrical and Computer Engineering, University of Calgary, Calgary T2N 1N4, Alberta, Canada.
Physics in Medicine and Biology
|January 6, 2006
Summary
Accurate cerebral blood flow (CBF) estimates from dynamic susceptibility contrast (DSC) MRI are affected by slice position in multi-slice studies. Using high temporal resolution methods reduces these errors, improving perfusion parameter accuracy.
Area of Science:
- Medical Imaging
- Neuroimaging
- Biophysics
Background:
- Dynamic susceptibility contrast (DSC) perfusion imaging is crucial for estimating cerebral blood flow (CBF).
- Standard singular value decomposition (SVD) algorithms have been modified for delay-insensitive CBF estimation.
- Recent studies highlight new dependencies of CBF estimates on bolus arrival times and slice position in multi-slice DSC studies.
Purpose of the Study:
- To reconcile conflicting findings regarding CBF estimation accuracy in multi-slice DSC studies.
- To investigate the impact of relative slice position on perfusion parameters.
- To identify conditions under which slice position significantly affects CBF estimates and to propose a method to mitigate these effects.
Main Methods:
- Utilized simulation and clinical studies to analyze the effects of non-simultaneous arterial and tissue concentration curve measurements.
- Evaluated the influence of relative slice position on time-related (e.g., arterial-tissue delay) and amplitude-related (e.g., CBF) perfusion parameters.
- Implemented and assessed the efficacy of Fourier interpolated residue functions for high temporal resolution.
Main Results:
- Relative slice position in multi-slice DSC studies significantly affects time-related perfusion parameters like arterial-tissue delay.
- The clinical impact of relative slice position on CBF estimates is generally small, except under specific conditions (high SNR, small MTT, narrow AIF, low temporal resolution).
- Fourier interpolated residue functions effectively reduce systematic errors in perfusion parameters derived from multi-slice studies.
Conclusions:
- The accuracy of CBF estimates in multi-slice DSC studies is influenced by factors including relative slice position, bolus arrival times, and acquisition parameters.
- Advancements in MR technology may exacerbate inaccuracies due to slice position effects.
- Employing high temporal resolution techniques, such as Fourier interpolated residue functions, is essential for improving the reliability of perfusion parameter estimation in multi-slice DSC imaging.