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Towards quantitative digital subtraction perfusion angiography: An animal study
Ruisheng Su1, P Matthijs van der Sluijs1, Joaquim Bobi2
1Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Medical Physics
|May 24, 2023
Summary
Deconvolution-based perfusion DSA offers more reliable quantitative assessment of cerebral hemodynamics compared to traditional methods. This technique shows improved consistency across various protocols and sensitivity to changes in brain conditions.
Area of Science:
- Neuroimaging
- Cerebrovascular imaging
- Quantitative hemodynamics
Background:
- Digital subtraction angiography (DSA) is crucial for guiding neurovascular interventions.
- Perfusion imaging from DSA can quantitatively depict cerebral hemodynamics.
- The quantitative reliability of perfusion DSA needs further investigation.
Purpose of the Study:
- To assess the independence of deconvolution-based perfusion DSA from varying injection protocols.
- To evaluate the sensitivity of deconvolution-based perfusion DSA to altered brain conditions.
Main Methods:
- Developed a deconvolution-based algorithm to compute perfusion parameters (CBV, CBF, Tmax, MTT) from DSA.
- Applied the algorithm to DSA sequences from swine models.
- Compared deconvolution-derived parameters with time intensity curve (TIC)-derived parameters (AUC, peak, TTP).
Main Results:
- Deconvolution-based parameters showed 2-5 times smaller normalized standard deviation, indicating higher consistency.
- Sensitivities of deconvolution-based parameters were comparable or superior to TIC-derived parameters in an induced ischemic stroke model.
Conclusions:
- Deconvolution-based perfusion DSA demonstrates superior quantitative reliability against injection protocol variations and time resolutions.
- This method is sensitive to changes in cerebral hemodynamics.
- Quantitative perfusion angiography can enable objective treatment assessment in neurovascular interventions.
