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Open AccessArticle

Classification of Benign and Malignant Breast Tumors Using H-Scan Ultrasound Imaging

by Yali Ouyang 1,†, Po-Hsiang Tsui 2,3,4,†, Shuicai Wu 1, Weiwei Wu 5 and Zhuhuang Zhou 1,*
1
Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
2
Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
3
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33302, Taiwan
4
Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan 33302, Taiwan
5
College of Biomedical Engineering, Capital Medical University, Beijing 100069, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Diagnostics 2019, 9(4), 182; https://doi.org/10.3390/diagnostics9040182
Received: 19 September 2019 / Revised: 29 October 2019 / Accepted: 7 November 2019 / Published: 8 November 2019
(This article belongs to the Special Issue Ultrasound Imaging in Medicine 2019)
Breast cancer is one of the most common cancers among women worldwide. Ultrasound imaging has been widely used in the detection and diagnosis of breast tumors. However, due to factors such as limited spatial resolution and speckle noise, classification of benign and malignant breast tumors using conventional B-mode ultrasound still remains a challenging task. H-scan is a new ultrasound technique that images the relative size of acoustic scatterers. However, the feasibility of H-scan ultrasound imaging in the classification of benign and malignant breast tumors has not been investigated. In this paper, we proposed a new method based on H-scan ultrasound imaging to classify benign and malignant breast tumors. Backscattered ultrasound radiofrequency signals of 100 breast tumors were used (48 benign and 52 malignant cases). H-scan ultrasound images were constructed with the radiofrequency signals by matched filtering using Gaussian-weighted Hermite polynomials. Experimental results showed that benign breast tumors had more red components, while malignant breast tumors had more blue components in H-scan ultrasound images. There were significant differences between the RGB channels of H-scan ultrasound images of benign and malignant breast tumors. We conclude H-scan ultrasound imaging can be used as a new method for classifying benign and malignant breast tumors. View Full-Text
Keywords: breast cancer; H-scan ultrasound imaging; Hermite polynomial; scatterer size; ultrasound tissue characterization breast cancer; H-scan ultrasound imaging; Hermite polynomial; scatterer size; ultrasound tissue characterization
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Ouyang, Y.; Tsui, P.-H.; Wu, S.; Wu, W.; Zhou, Z. Classification of Benign and Malignant Breast Tumors Using H-Scan Ultrasound Imaging. Diagnostics 2019, 9, 182.

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