Paper
Color Doppler to Characterize Malignant Breast Lesion
- Authors:
- Subarna Chatterjee; Ajoy Kumar Ray; Rezaul Karim; Arindam Biswas
- Abstract
- Doppler ultrasound is an important non-invasive diagnostic tool for identifying breast diseases. Ultrasound utilizes spectral Doppler techniques for quantitative evaluation of blood flow velocities, and these measurements play a crucial role in the diagnosis. In this paper, we describe a computer vision approach to automate the Doppler malignancy estimation. We present a technique for segmenting blood vessels in ultrasound color Doppler images based on image processing techniques. The technique decomposes a complex object representing either two or more vessels artificially linked together or a main vessel with its branches. We segment out the blood vessels in ultrasound color Doppler images and count the number of vessels to detect breast malignancy. MATLAB has been used to simulate the algorithm and the results obtained are presented in this paper. The result represents distinct vessels that can be used in further object recognition and quantification applications.
- Keywords
- Breast Cancer; Color Doppler; Sono-mammography; Ultrasound
- StartPage
- 24
- EndPage
- 27
- Doi
- 10.5963/LSMR0202003