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A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

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A level set method for vessel segmentation in coronary angiography.

J Brieva¹, E Gonzalez, F Gonzalez

¹Departemento de Electron., ITESM, Mexico City. jbrieva@itesm.mx

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

|February 7, 2007

Summary

This study introduces a novel level set method for extracting coronary vascular structures from angiography images, improving accuracy in detecting arteries using the Mumford-Shah functional.

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Area of Science:

Medical Imaging
Image Processing
Computational Biology

Background:

Coronary angiography is crucial for diagnosing heart conditions.
Accurate extraction of vascular structures is essential for analysis.
Existing methods may struggle with complex or poorly defined vessels.

Purpose of the Study:

To present a new level set technique for extracting vascular structures in coronary angiography.
To utilize the Mumford-Shah functional for contour extraction beyond gradient-defined edges.
To evaluate the performance of the proposed detection method.

Main Methods:

A level set technique is employed for image segmentation.
The Mumford-Shah functional is used to identify vessel contours.
A shape artery simulator was developed for method validation.
The technique was tested on both simulated and real coronary angiography images.

Main Results:

The level set method successfully extracted vascular structures.
The Mumford-Shah functional enabled contour detection independent of image gradients.
Experimental results demonstrated the method's effectiveness on simulated and real data.

Conclusions:

The proposed level set technique offers a robust approach for coronary vascular structure extraction.
This method enhances the analysis of coronary angiography by accurately segmenting vessels.
The technique shows promise for clinical applications in cardiovascular imaging.