Woo-Shik Shin

Document Type

Thesis - University Access Only

Award Date

2010

Degree Name

Master of Science (MS)

Department / School

Electrical Engineering and Computer Science

Abstract

Breast cancer affects many women and men, and early detection aids in fast and effective treatment. Microwave imaging is a new method for the breast cancer detection based on the large contrast of electric parameters between the malignant and its surrounded normal breast organisms. In this study, we have developed a correlation algorithm of MRI and Microwave images to retrieve chronicle patient information from archival MRI image & information in a data warehouse. We have applied various image processing techniques such as histogram, Pixel distribution & Edge detection. The techniques were applied on two sets of MRI and Microwave images. MRI scanning data is based on contrast of white matter, gray matter, but Microwave scanning data represent image data to color level based on gamma and epsilon electronic radiation-century because of this the two scanning data are completely different in their patterns. Finding correlation between two images using MRI and Microwave scanning data is very useful for converting Microwave image data to similar MRI image data. The converted Microwave data can be used for retrieving useful information from the archived MRI image data with chronicle breast cancer data in data warehouse. The retrieved information could be used to make a good decision for detecting early stage breast cancer detection system. In this research we are going to focus on the correlation algorithm between MRI and Microwave images.

Library of Congress Subject Headings

Breast -- Cancer -- Magnetic resonance imaging

Breast -- Radiography

Breast -- Imaging

Breast -- Diseases -- Diagnosis

Format

application/pdf

Number of Pages

87

Publisher

South Dakota State University

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