An analysis tool to calculate permeability based on the Patlak method

Area of Science:

• Medical imaging analysis
• Neuroscience
• Computational biology

Background:

• Strokes are frequently diagnosed using Magnetic Resonance Imaging (MRI).
• Computer software can enhance the speed and accuracy of MRI-based stroke diagnosis.
• Automated analysis can potentially reduce healthcare professionals' workload and minimize diagnostic errors.

Purpose of the Study:

• To present a flexible software tool, the Permeability Calculation Tool (PCT), for stroke diagnosis.
• To enable the calculation of the Blood-Brain Barrier (BBB) permeability coefficient using the Patlak plot method.
• To offer both manual and automatic diagnostic capabilities for stroke-affected brain regions.

Main Methods:

• Development of the Permeability Calculation Tool (PCT).
• Implementation of the Patlak plot method for permeability coefficient calculation.
• Support for multiple image file formats including DICOM, NIfTI, and Analyze.

Main Results:

• The PCT facilitates the calculation of the BBB permeability coefficient.
• The tool provides automated and manual options for analyzing stroke-affected brain areas.
• PCT is designed to integrate with various medical imaging data formats.

Conclusions:

• The PCT is a valuable tool for improving the efficiency and accuracy of stroke diagnosis through MRI analysis.
• This software can assist in assessing Blood-Brain Barrier (BBB) integrity in stroke patients.
• The tool's flexibility in data handling and analysis modes supports clinical and research applications.