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Perfusion deconvolution in DSC-MRI with dispersion-compliant bases
Marco Pizzolato1, Timothé Boutelier2, Rachid Deriche1
1Université Côte d'Azur, Inria, France.
Medical Image Analysis
|December 23, 2016
Summary
Dispersion-Compliant Bases (DCB) deconvolution accurately estimates brain perfusion parameters from Dynamic Susceptibility Contrast MRI (DSC-MRI) data. This method improves accuracy for both effective and dispersion-free parameters, regardless of bolus dispersion.
Area of Science:
- Neuroimaging
- Medical Physics
- Biomedical Engineering
Background:
- Dynamic Susceptibility Contrast MRI (DSC-MRI) is used for brain perfusion imaging, estimating parameters like cerebral blood flow (CBF), blood volume (CBV), and mean transit time (MTT).
- Bolus dispersion in DSC-MRI data complicates the accurate estimation of tissue perfusion by introducing macrovascular effects.
- Current deconvolution methods often recover only effective, dispersed parameters, limiting the precision of perfusion assessment.
Purpose of the Study:
- To introduce Dispersion-Compliant Bases (DCB) as a novel method for representing the response function in DSC-MRI.
- To evaluate the performance of DCB deconvolution against existing techniques (oSVD, CPI+VTF) in estimating perfusion parameters.
- To assess the utility of DCB as a pre-processing step for improving dispersion-free parameter estimation.
Main Methods:
- Development and application of Dispersion-Compliant Bases (DCB) to model the tissue impulse response function.
- In silico and in vivo experiments comparing DCB deconvolution with oSVD and CPI+VTF methods.
- Evaluation of DCB's effectiveness in estimating both effective and dispersion-free perfusion parameters (CBF, MTT).
Main Results:
- DCB deconvolution demonstrated superior performance in estimating effective perfusion parameters compared to oSVD and CPI+VTF.
- DCB deconvolution significantly reduced relative errors (up to 50%) for dispersion-free CBF and MTT when used with CPI+VTF.
- The DCB method accurately recovered effective response functions in both healthy and pathological scenarios without assuming dispersion characteristics.
Conclusions:
- Dispersion-Compliant Bases (DCB) deconvolution offers a robust and accurate approach for DSC-MRI perfusion imaging.
- DCB deconvolution effectively handles bolus dispersion, improving the estimation of both effective and dispersion-free perfusion parameters.
- The DCB method provides a flexible tool for brain perfusion analysis, adaptable to various physiological conditions and dispersion levels.
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