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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

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A robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational

Julien Touati¹, Marco Bologna², Adeline Schwein³

¹Center for Computational Surgery, Houston Methodist Hospital, 6670 Bertner Avenue, WP254, Houston, TX 77030, USA.

Computers in Biology and Medicine

|May 12, 2017

Summary

This summary is machine-generated.

A new computational fluid dynamics (CFD) method extracts robust vascular tree centerlines for accurate anatomical measurements. This functional centerline approach overcomes limitations of traditional geometric methods and image-based algorithms.

Keywords:

Abdominal aortic aneurysm Centerline Computational fluid dynamics Computed tomography Image segmentation

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Area of Science:

Medical Imaging
Computational Fluid Dynamics
Vascular Biology

Background:

Accurate anatomical measurements of blood vessels are crucial but challenging with 2D imaging.
Traditional centerline extraction methods often suffer from inaccuracies and limitations.

Purpose of the Study:

To present a novel method for robust centerline extraction in vascular trees.
To demonstrate the superiority of a functional centerline over geometric ones for anatomical measurements.

Main Methods:

Utilizing computational fluid dynamics (CFD) for centerline extraction.
Comparing CFD-based centerlines with geometrically derived centerlines.
Evaluating robustness against common errors in volume-based algorithms.

Main Results:

The CFD-based centerline provides accurate anatomical measurements (length, diameter, area).
CFD centerlines closely match geometric centerlines in stable regions.
The proposed method is resilient to topological thinning errors.

Conclusions:

CFD-based centerline extraction offers a robust and accurate alternative for vascular analysis.
This functional approach enhances precision in anatomical measurements.
The method shows potential for future research in vascular studies.