Title:	AN ANALYSIS OF MEDICAL IMAGE PROCESSING METHODS FOR SEGMENTATION OF THE INNER EAR
Author(s):	Catherine Todd , Mikhail Kirillov , Muaaz Tarabichi , Fazel Naghdy , Golshah Naghdy
ISBN:	978-972-8924-84-3
Editors:	Yingcai Xiao, Tomaz Amon and Piet Kommers
Year:	2009
Edition:	Single
Keywords:	Image Segmentation, Visualization, Region-growing, Threshold Level-set.
Type:	Short Paper
First Page:	213
Last Page:	218
Language:	English
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Paper Abstract:	This study explores software development methods and subsequent results for delineation of the inner ear using medical image processing techniques with clinical relevance such as for surgical evaluations, planning and exploration. Methods for data acquisition and segmentation of inner ear anatomy, specifically the cochlea, are analyzed. Segmentation methods for extracting and rendering the cochlea from Computed Tomography are implemented using an Image Toolkit (ITK) and Visualization Toolkit (VTK) approach, with results provided for comparison. These include variations of region-growing, threshold-based and level set segmentation methods. The analysis focuses on image acquisition, registration and extraction of the complex cochlear spiral and surrounding anatomy, with previous comparisons reviewing a broadspectrum of medical image segmentation strategies. The review is intended to provide a comparative analysis of recent methods in segmentation of inner ear anatomy, and ensuing results in this field of medical image processing.
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