Computer-aided Diagnosis of Breast MRI Using 3-D Morphology Analysis
| Autor: | Tsung-Ju Wu, 吳宗儒 |
|---|---|
| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 In the past years, the breast cancer is globally the major cause of the death for women. But the curability of the breast cancer can be raised if such a tumor can be found early and treat correctly. American Cancer Society has also suggested that women should take the breast examination annually to achieve the early detection of the suspicious tumors. Recently the computer-aided diagnosis systems can help radiologists not only to render the information of the tumor but also to different the malignant tumors from benign ones. Hence the demand of the breast biopsy of the found tumors can be further reduced. In this paper, the three dimensional (3-D) high resolution magnetic resonance imaging (MRI) is used to diagnose the breast tumors. In general, the morphology can reflect the malignancy or benignancy of a tumor. Several conventional shape features are used to extract the shape information. Furthermore, a fitting ellipsoid is built by the tumor contour and then some morphological features are proposed by comparing the tumor contour with its corresponding ellipsoid. Besides, the 3-D texture information based on the grey level co-occurrence matrix is also considered a diagnosis feature and also be used in this paper for a comparison. In our experiments, 95 pathology-proven cases, which contain 44 benign tumors and 51 malignant ones, are used to test the accuracy of several different feature categories and our proposed computer-aided system. From the experimental results, we could find that the morphological features have better performance than the texture features. Moreover, the proposed 3-D morphological features could achieve a high performance with the accuracy, sensitivity, and specificity being 88.42%, 88.24%, and 88.64%, respectively. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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