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Recurrent nasal tumor detection by dynamic MRI

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4 Author(s)
Wen-Chen Huang ; Dept. of Manage. Ing. Sci., Chia-Nan Coll. of Pharm. & Sci., Tainan, Taiwan ; Cheng Chung Hsu ; Chungnan Lee ; Ping-Hong Lai

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

Published in:

IEEE Engineering in Medicine and Biology Magazine  (Volume:18 ,  Issue: 4 )