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Cerebral perfusion mapping using a robust and efficient method for deconvolution analysis of dynamic
T S Koh1, C K Markus Tan, L H Dennis Cheong
1Center for Modeling and Control of Complex Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore. etskoh@ntu.edu.sg
Neuroimage
|May 10, 2006
Summary
This study introduces a new deconvolution method for dynamic contrast-enhanced (DCE) imaging. The method accurately maps cerebral blood flow and volume, improving brain tumor visualization and assessment.
Area of Science:
- Radiology
- Medical Imaging
- Neuroscience
Background:
- Dynamic Contrast-Enhanced (DCE) imaging, using MRI or CT, is a key tool for diagnosing cerebral disorders.
- It is also crucial for monitoring tumor treatment response.
- Accurate mapping of functional cerebral parameters is essential for effective diagnosis and treatment monitoring.
Purpose of the Study:
- To present a robust and efficient deconvolution method for DCE imaging.
- To enable accurate mapping of functional cerebral parameters like blood flow, volume, mean transit time, and permeability.
- To assess the method's performance in clinical cases of cerebral tumors.
Main Methods:
- A linearized model of the impulse residue function was used for deconvolution.
- Monte Carlo simulations were conducted to evaluate the method's accuracy and stability.
- The method was applied to clinical DCE CT data from patients with cerebral tumors.
Main Results:
- Functional parameter maps were generated, accurately revealing cerebral tumor locations.
- The maps demonstrated sufficient clarity for assessing regional differences in tissue vascularity and permeability.
- Tumor visualization and delineation were enhanced on maps indicating blood-brain barrier breakdown.
Conclusions:
- The proposed deconvolution method is effective for DCE imaging of cerebral disorders.
- It provides accurate functional parameter mapping, aiding in tumor diagnosis and treatment monitoring.
- The method improves the visualization and delineation of cerebral tumors, particularly in cases of blood-brain barrier disruption.