Implementation of medical imaging with telemedicine for the early detection and diagnoses of breast cancer to women in remote areas

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dc.contributor.advisor Koontz, Warren
dc.contributor.advisor Eastman, Michael Imaniraguha, Alphonsine 2009-01-22T16:51:07Z 2009-01-22T16:51:07Z 2008
dc.description.abstract Nowadays, the cancer topic has become a global concern. Furthermore, breast cancer persists to be the top leading cause of death to women population and the second cause of cancer death after the lung cancer globally. Various technologies and techniques have been searched, developed and studied over the years to detect the disease at the early stage; the early diagnosis saves many lives in both developed and developing countries. The detection of cancer through a screening process before its symptoms emerge increases the survival rate dramatically (Li, Meaney and Paulsen). Moreover, sufficient knowledge of the disease, qualified staff, accurate, appropriate treatment and diagnosis contribute to the successful cure of the disease; however, the cancer treatment is not affordable by many and sometimes not available to the very needy, and more precisely in developing countries. In this research, we aimed to explore the early detection of breast cancer using the new image compression algorithm: DYNAMAC, a compression tool that finds its basis in nonlinear dynamical systems theory; we implemented this algorithm through the D-transform, a digital sequence used to compress the digital media (Wang and Huang) & (Antoine, Murenzi and Vandergheynst). The goal is to use this method to analyze the average profile of diseased and healthy breast images obtained from a digital mammography to detect diseased tissues. After the detection of cancerous tumors, we worked to establish a remote care to women victims of breast cancer using the Telecommunication infrastructure through primarily Teleradiology and the Next Generation Internet (NGI) technology. Over the methods and techniques previously used in the area of medical imaging techniques, DYNAMAC algorithm is the most easily implemented along with its features that include cost saving in addition to best meeting the requirements of the breast imaging technology. en_US
dc.language.iso en_US en_US
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dc.subject Breast imaging en_US
dc.subject DYNAMAC algorithm en_US
dc.subject Mammography en_US
dc.subject Telemedicine en_US
dc.subject.lcc RG493.5.R33 I63 2008
dc.subject.lcsh Breast--Radiography--Data processing
dc.subject.lcsh Image compression--Data processing
dc.subject.lcsh Breast--Cancer--Diagnosis
dc.subject.lcsh Telecommunication in medicine
dc.title Implementation of medical imaging with telemedicine for the early detection and diagnoses of breast cancer to women in remote areas en_US
dc.type Thesis en_US College of Applied Science and Technology en_US
dc.description.department Telecommunications Engineering Technology en_US
dc.contributor.advisorChair Glenn, Chance

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