Detecting and Analyzing Linear Structures in Biomedical Images : A Case Study Using Corneal Nerve Fibers
Dabbah, Mohammad A., Graham, James, Malik, Rayaz A., & Efron, Nathan (2011) Detecting and Analyzing Linear Structures in Biomedical Images : A Case Study Using Corneal Nerve Fibers. In Dougherty, Geoff (Ed.) Medical Image Processing : Techniques and Applications. Springer, New York, pp. 145-166.
Diabetic peripheral neuropathy (DPN) is one of the most common long-term complications of diabetes. The accurate detection and quantification of DPN are important for defining at-risk patients, anticipating deterioration, and assessing new therapies. Current methods of detecting and quantifying DPN, such as neurophysiology, lack sensitivity, require expert assessment and focus primarily on large nerve fibers. However, the earliest damage to nerve fibers in diabetic neuropathy is to the small nerve fibers. At present, small nerve fiber damage is currently assessed using skin/nerve biopsy; both are invasive technique and are not suitable for repeated investigations.
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|Item Type:||Book Chapter|
|Subjects:||Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > OPTOMETRY AND OPHTHALMOLOGY (111300)|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Optometry & Vision Science
|Copyright Owner:||Copyright 2011 Springer Science+Business Media, LLC|
|Deposited On:||03 Mar 2014 23:42|
|Last Modified:||23 Aug 2016 15:48|
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