DocumentCode :
1619682
Title :
Automatic Contouring for Breast Tumors in 2-D Sonography
Author :
Huang, Yu-Len ; Chen, Dar-Ren
Author_Institution :
Dept. of Comput. Sci. & Information Eng., Tunghai Univ., Taichung
fYear :
2006
Firstpage :
3225
Lastpage :
3228
Abstract :
Automatic contouring for breast tumors using medical ultrasound (US) imaging may assist physicians, without relevant experience, in making correct diagnoses. This study utilizes the watershed transform and active contour model (ACM) to overcome the natural properties of US images, speckle, noise and tissue-related textures, to segment the breast tumors precisely. The watershed transform is performed as the automatic initial contouring procedure to maintain a rough tumor shape and boundary. Next, ACM automatically determines the exquisite contours of the tumor. The results of computer simulations reveal that the proposed method always identified similar contours and regions-of-interest (ROI) as were obtained by manual contouring (by an experienced physician) of the breast tumor in US images. As ultrasound imaging becomes more widespread, a functional automatic contouring is essential to clinical application. In computer-aided diagnosis (CAD) applications, moreover, automatic contouring can save much of the time required to sketch a precise contour, with very high stability
Keywords :
biological organs; biomedical ultrasonics; cancer; gynaecology; image segmentation; image texture; medical image processing; noise; speckle; tumours; 2-D sonography; active contour model; breast tumors; computer-aided diagnosis; exquisite tumor contours; functional automatic contouring; image segmentation; medical ultrasound imaging; noise; rough tumor shape; speckle; tissue-related textures; watershed transform; Active contours; Active noise reduction; Application software; Biomedical imaging; Breast neoplasms; Breast tumors; Medical diagnostic imaging; Speckle; Ultrasonic imaging; Ultrasonography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1617163
Filename :
1617163
Link To Document :
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