Paper
23 February 2012 A new approach to measuring tortuosity
Amanda Wert, Sherry E. Scott
Author Affiliations +
Abstract
The detection and measurement of the tortuosity - i.e. the bending and winding - of vessels has been shown to be potentially useful in the assessment of cancer progression and treatment response. Although several metrics for tortuosity are used, no single one measure is able to capture all types of tortuosity. This report presents a new multiscale technique for measuring vessel tortuosity. The approach is based on a method - called the ergodicity defect - which gives a scale-dependent measure of deviation from ergodicity. Ergodicity is a concept that captures the manner in which trajectories or signals sample the space; thus, ergodicity and vessel tortuosity both involve the notion of how a signal samples space. Here we begin to explore this connection. We first apply the ergodicity defect tortuosity measure to both 2D and 3D synthetic data in order to demonstrate the response of the method to three types of tortuosity observed in clinical patterns. We then implement the technique on segmented vessels extracted from brain tumor MRA images. Results indicate that the method can be effectively used to detect and measure several types of vessel tortuosity.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amanda Wert and Sherry E. Scott "A new approach to measuring tortuosity", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83153I (23 February 2012); https://doi.org/10.1117/12.912416
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Wavelets

Tumors

Image segmentation

Brain

Neuroimaging

Cancer

Oncology

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