Paper
15 March 2006 Shortest path adjusted similarity metrics for resolving boundary perturbations in scaffold images for tissue engineering
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Abstract
The degree of match between the delineation result produced by a segmentation technique and the ground truth can be assessed using robust "presence-absence" resemblance measures. Previously, we had investigated and introduced an exhaustive list of similarity indices for assessing multiple segmentation techniques. However, these measures are highly sensitive to even minor boundary perturbations which imminently manifest in the segmentations of random biphasic spaces reminiscent of the stochastic pore-solid distributions in the tissue engineering scaffolds. This paper investigates the ideas adapted from ecology to emphasize global resemblances and ignore minor local dissimilarities. It uses concepts from graph theory to perform controlled local mutations in order to maximize the similarities. The effect of this adjustment is investigated on a comprehensive list (forty nine) of similarity indices sensitive to the over- and under- estimation errors associated with image delineation tasks.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Srinivasan Rajagopalan and Richard Robb "Shortest path adjusted similarity metrics for resolving boundary perturbations in scaffold images for tissue engineering", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444E (15 March 2006); https://doi.org/10.1117/12.654000
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KEYWORDS
Image segmentation

Binary data

Tissue engineering

Image processing

Stochastic processes

Visualization

Ecology

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