Speckle Reduction and Lesion Segmentation for Optical Coherence Tomography Images of Teeth
The objective of this study is to apply digital image processing (DIP) techniques to optical coherence tomography (OCT) images and develop computer-based non-subjective quantitative analysis, which can be used as diagnostic aids in early detection of dental caries. This study first compares speckle reduction effects on raw OCT image data by implementing spatial-domain and transform-domain speckle filtering. Then region-based contour search and global thresholding techniques examine digital OCT images with possible lesions to identify and highlight the presence of features indicating early stage dental caries. The outputs of these processes, which explore the combination of image restoration and segmentation, can be used to distinguish lesion from normal tissue and determine the characteristics prior to, during, and following treatments. The combination of image processing and analysis techniques in this thesis shows potential of detecting early stage caries lesion successfully.
optical Coherence Tomography, dental caries, image segmentation, speckle reduction
Jialin Li (2009) 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBC 2009, p 1149-52