Technical Program

Paper Detail

Paper:	SU-AM-OS1.3
Session:	Biological Image Analysis
Time:	Sunday, April 9, 10:10 - 10:30
Presentation:	Oral
Title:	Pattern Recognition Approaches to Compute Image Similarities: Application to Age Related Morphological Change
Authors:	Nikita Orlov; National Institute on Aging, National Institutes of Health
	Josiah Johnston; National Institute on Aging, National Institutes of Health
	Tomasz Macura; National Institute on Aging, National Institutes of Health
	C. Wolkow; National Institute on Aging, National Institutes of Health
	Ilya Goldberg; National Institute on Aging, National Institutes of Health
Abstract:	We are studying the genetic influence on rates of age related muscle degeneration in C. elegans. For this, we built pattern recognition tools to calculate a morphological score given an image of muscle tissue. We collected images of body wall muscle and the terminal bulb of the pharynx at four different ages. We extracted a large set of image descriptors (signatures) from both sets of images. Two different methods were used for pattern recognition within these two datasets. Both methods compute a single number that correlates with the known age of the sample. Because aging is a continuous process, the relative age computed from images of tissue can be viewed as a measure of image similarity. The techniques employed and validated in this work can be generalized to other areas such as image-based queries.

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