Paper
24 February 2009 Image analysis software for following progression of peripheral neuropathy
Thomas Epplin-Zapf, Clayton Miller, Sean Larkin, Eduardo Hermesmeyer, Jenny Macy, Marco Pellegrini, Saverio Luccarelli, Giovanni Staurenghi, Timothy Holmes
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Abstract
A relationship has been reported by several research groups [1 - 4] between the density and shapes of nerve fibers in the cornea and the existence and severity of peripheral neuropathy. Peripheral neuropathy is a complication of several prevalent diseases or conditions, which include diabetes, HIV, prolonged alcohol overconsumption and aging. A common clinical technique for confirming the condition is intramuscular electromyography (EMG), which is invasive, so a noninvasive technique like the one proposed here carries important potential advantages for the physician and patient. A software program that automatically detects the nerve fibers, counts them and measures their shapes is being developed and tested. Tests were carried out with a database of subjects with levels of severity of diabetic neuropathy as determined by EMG testing. Results from this testing, that include a linear regression analysis are shown.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Epplin-Zapf, Clayton Miller, Sean Larkin, Eduardo Hermesmeyer, Jenny Macy, Marco Pellegrini, Saverio Luccarelli, Giovanni Staurenghi, and Timothy Holmes "Image analysis software for following progression of peripheral neuropathy", Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 71691C (24 February 2009); https://doi.org/10.1117/12.814672
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KEYWORDS
Electromyography

Nerve

Cornea

Image analysis

Neurons

Image segmentation

Optical fibers

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