NDLI: Automatic Contouring for Breast Tumors in 2-D Sonography

Content Provider	IEEE Xplore Digital Library
Author	Yu-Len Huang Dar-Ren Chen
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Information Eng., Tunghai Univ., Taichung (Yu-Len Huang)
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
Starting Page	3225
Ending Page	3228
File Size	1776421
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1617163
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Breast tumors Ultrasonography Ultrasonic imaging Breast neoplasms Application software Biomedical imaging Medical diagnostic imaging Active contours Speckle Active noise reduction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Segmentation of Medical Ultrasound Images using Active Contours

Speckle noise reduction in breast ultrasound images: SMU (SRAD median unsharp) approch

Enhanced anisotropic diffusion with noise amplification suppression

Automatic lesion/tumor detection using intelligent mesh-based active contour

Boundary Enhancement and Speckle Reduction for Ultrasound Images via Salient Structure Extraction

A New Speckle Reduction Method of Medical Ultrasonic Image

Study of Image location for the High Intensity Focused Ultrasound therapy system

Speckle Noise Suppression Techniques for Ultrasound Images

A complex z-transform technique for speckle reduction

Automatic Contouring for Breast Tumors in 2-D Sonography

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