NDLI: An automated method to detect interstitial adipose tissue in thigh muscles for patients with osteoarthritis

Content Provider	IEEE Xplore Digital Library
Author	Prescott, J.W. Priddy, M. Best, T.M. Pennell, M. Swanson, M.S. Haq, F. Jackson, R.D. Gurcan, M.N.
Copyright Year	2009
Description	Author affiliation: Department of Endocrinology, Diabetes, and Metabolism, Ohio State University Medical Center, Columbus, OH 43210 (Jackson, R.D.) \|\| Department of Family Medicine, Ohio State University Medical Center, Columbus, OH 43210 (Best, T.M.; Haq, F.) \|\| Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210 (Prescott, J.W.; Priddy, M.; Swanson, M.S.; Gurcan, M.N.) \|\| Division of Biostatistics, College of Public Health, Ohio State University Medical Center, Columbus, OH 43210 (Pennell, M.)
Abstract	In this paper we explore a method of segmentation of muscle interstitial adipose tissue (IAT) in MR images of the thigh. The objective is to apply the method towards research into biomarkers of osteoarthritis (OA). T1-weighted images of the thigh are intensity standardized through bias field correction and intensity normalization. IAT within the thigh muscles is then segmented using a threshold combined with morphological constraints applied on connected regions in the thresholded image. The morphological constraints can be adjusted to allow for highly sensitive or highly specific IAT segmentation. The use of the morphological constraints improved the specificity of IAT segmentation over a threshold segmentation method from 0.54 to 0.67, while retaining a nearly equivalent sensitivity of 0.82 compared to 0.84. We then present a preliminary statistical analysis to demonstrate the application of the automated IAT segmentation. Finally, we specify a protocol for further exploration of IAT by leveraging the massive imaging dataset of the Osteoarthritis Initiative (OAI).
Starting Page	6360
Ending Page	6363
File Size	583322
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333260
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Thigh Muscles Osteoarthritis Image segmentation Knee Biomarkers Diseases Public healthcare Biomedical imaging USA Councils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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