Paper
1 June 1991 Digital image processing for the early localization of cancer
Cheryl M. Kelmar
Author Affiliations +
Proceedings Volume 1426, Optical Methods for Tumor Treatment and Early Diagnosis: Mechanisms and Techniques; (1991) https://doi.org/10.1117/12.44080
Event: Optics, Electro-Optics, and Laser Applications in Science and Engineering, 1991, Los Angeles, CA, United States
Abstract
The prognosis for cancer patients becomes much better if a tumor is diagnosed, localized and treated early, in a precancerous stage. The difficulty lies in the localization of cancerous tumors. Carcinoma in situ (CIS) refers to a tumor which is approximately 100 microns thick and one which has not penetrated through the epithelium wall or become invasive (2). A tumor of this size cannot be detected by existing techniques such as x-ray, computer tomography, magnetic resonance imaging, nuclear medicine or conventional endoscopy under white-light illumination. However, these tumors can be localized and destroyed by photodynamic diagnosis and therapy. This research shows that digital image processing and the technique of digital image ratioing contribute to photodynamic diagnosis and the early localization of cancer. A software package has been developed as a result of this research. The software package quantifies the usefulness of digital image processing for tumor localization and detectability. System parameters such as the endoscope distance and angle variations, tumor size and tumor concentration, sensitivity and specificity of the system have been tested and quantified.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheryl M. Kelmar "Digital image processing for the early localization of cancer", Proc. SPIE 1426, Optical Methods for Tumor Treatment and Early Diagnosis: Mechanisms and Techniques, (1 June 1991); https://doi.org/10.1117/12.44080
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KEYWORDS
Tumors

Digital image processing

Image filtering

Endoscopes

Luminescence

Image processing

Image enhancement

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