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Conference Paper
Mass Detection and Classification Algorithm on Three-dimensional Breast Ultrasound Images using the Hough Transform
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- Authors
- J.-W. Jeong, D. Yu, S. Lee
- Issue Date
- 2013-06
- Citation
- International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS) 2013, pp.S293-S294
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently various researches have been reported regarding the development of the three-dimensional (3D) US scanning devices to overcome these shortcomings [1–2]. With 3D US scanners the whole breast image volumes can be acquired easily and repeatedly in a relatively short time interval practically without non-scanning breast regions. However, it should be noted that huge amount of US image volumes at each screening make radiologists to be exhausted with the diagnosis on even one case of 3D US image volume. To save the diagnostic effort using 3D US scanning devices, a computer-aided detection (CAD) system can suggest the mass candidates to enhance the radiologists’ screening speed and accuracy as a preliminary diagnostic step. In this paper we propose automatic mass detection and classification algorithm using the Hough transform and fast marching level set segmentation [3] techniques.
- KSP Keywords
- Breast ultrasound images, Classification algorithm, Computer-aided Detection(CADe), Fast Marching, Hough transform, Level Set Segmentation, Scanning devices, Short time, Three dimensional(3D), Time interval, detection and classification