DocumentCode :
2358432
Title :
Automatic lesion/tumor detection using intelligent mesh-based active contour
Author :
Yin, Lijun ; Deshpande, Sandeep ; Chang, Ja Kwei
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA
fYear :
2003
fDate :
3-5 Nov. 2003
Firstpage :
390
Lastpage :
397
Abstract :
Automatic detection of the lesion/tumor region is always of interest in medical imaging system. We address this issue in this paper for improving the accuracy and robustness as compared to the conventional methods. Active contour has been commonly used for the detection of irregular shape of region, however, it suffers the problem of the false attraction given the noisy image, and requires the correct estimation of the initial location of the object to be detected. In this paper, we present a novel method for robustly locating the object area by using a so-called intelligent mesh. With the accurate location and shape approximation in the initial stage, the object of interest is correctly detected by using a mesh-based active contour model. The correctness and robustness of the proposed algorithm are demonstrated on extracting the lesion/tumor regions of CT and Mammography images as an intensive test.
Keywords :
mammography; medical computing; medical image processing; mesh generation; tumours; CT; CT images; algorithm; automatic lesion/tumor detection; intelligent mesh; intelligent mesh-based active contour; lesion/tumor detection; mammography; mammography images; medical imaging; mesh-based active contour; Active contours; Active noise reduction; Biomedical imaging; Lesions; Neoplasms; Noise shaping; Object detection; Robustness; Shape; Tumors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2038-3
Type :
conf
DOI :
10.1109/TAI.2003.1250216
Filename :
1250216
Link To Document :
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