Recurrent nasal tumor detection by dynamic MRI |
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| Authors: | Wen-Chen Huang Cheng Chung Hsu Chungnan Lee Ping-Hong Lai |
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| Affiliation: | Department of Management Information Science, Chia-Nan College of Pharmacy and Science, Tainan, Taiwan. wenh@mislinux.chna.edu.tw |
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| Abstract: | The purpose of this research is to detect and enhance the recurrent nasal tumor region by computing the relative intensity difference between consecutive MR images after using a contrast agent. In this article, we apply a relative signal increase model to recognize a recurrent nasal tumor by dynamic MR images. A robust estimation technique is used to deal with matching corresponding points among different images. The active contour technique is applied to refine automatically the region of interest and obtain a more precise definition of the area of interest. The quantitative evaluation of dynamic MR data is modeled by fitting three-parameter time-intensity curves |
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