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Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus

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Date

2016

Authors

Ben Daya, Ibrahim
Noguchi, Mamiko
Callaghan, Jack P.
Wong, Alexander

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Kitchener-Waterloo Vision and Imaging Society

Abstract

In this paper, we proposed an automated histological analysis system for quantifying microstructural damage accumulation to the annulus fibrosus. This system takes in a digital histology image and uses Gaussian mixture model based segmentation, followed by connected components analysis to extract and label possible clefts. The image is then refined through spatial and size constraints. Finally, the required statistics for quantifying microstructural damage are calculated.

Description

Ben Daya, I., Noguchi, M., Callaghan, J. P., & Wong, A. (2016). Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus. Journal of Computational Vision and Imaging Systems, 2(1). Retrieved from http://openjournals.uwaterloo.ca/index.php/vsl/article/view/100

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http://openjournals.uwaterloo.ca/index.php/vsl/article/view/100
 http://hdl.handle.net/10012/11555

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Waterloo Research
Kinesiology and Health Sciences