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Automated classification of optical coherence tomography images for the diagnosis of oral malignancy in the hamster cheek pouch
- Source :
- Journal of Biomedical Optics. 19:086022
- Publication Year :
- 2014
- Publisher :
- SPIE-Intl Soc Optical Eng, 2014.
-
Abstract
- Most studies evaluating the potential of optical coherence tomography (OCT) for the diagnosis of oral cancer are based on visual assessment of OCT B-scans by trained experts. Human interpretation of the large pool of data acquired by modern high-speed OCT systems, however, can be cumbersome and extremely time consuming. Development of image analysis methods for automated and quantitative OCT image analysis could therefore facilitate the evaluation of such a large volume of data. We report automated algorithms for quantifying structural features that are associated with the malignant transformation of the oral epithelium based on image processing of OCT data. The features extracted from the OCT images were used to design a statistical classification model to perform the automated tissue diagnosis. The sensitivity and specificity of distinguishing malignant lesions from benign lesions were found to be 90.2% and 76.3%, respectively. The results of the study demonstrate the feasibility of using quantitative image analysis algorithms for extracting morphological features from OCT images to perform the automated diagnosis of oral malignancies in a hamster cheek pouch model.
- Subjects :
- Pathology
medicine.medical_specialty
genetic structures
Research Papers: Imaging
Biomedical Engineering
Image processing
Malignancy
Sensitivity and Specificity
Pattern Recognition, Automated
Biomaterials
Optical coherence tomography
Artificial Intelligence
Cricetinae
Image Interpretation, Computer-Assisted
medicine
Animals
Mouth neoplasm
Mesocricetus
medicine.diagnostic_test
Contextual image classification
business.industry
Mouth Mucosa
Reproducibility of Results
Image segmentation
Cheek
Image Enhancement
medicine.disease
eye diseases
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Statistical classification
medicine.anatomical_structure
Mouth Neoplasms
sense organs
Radiology
business
Algorithms
Tomography, Optical Coherence
Subjects
Details
- ISSN :
- 10833668
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Journal of Biomedical Optics
- Accession number :
- edsair.doi.dedup.....b211d48b8a472622b185ec61f767d8bc