Dual-tree wavelet based algorithm for speckle reduction and edge enhancement in ultrasound images

Wen Chien Yen, Shen-Chuan Tai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Ultrasound images are the important bases of disease diagnostic. Unfortunately, the qualities of ultrasound images are generally limited due to speckle noises. Speckle reduction is an important pre-processing step in the ultrasound image feature extraction, analysis and recognition. In this paper, we present an approach for ultrasound image enhancement. It is designed to utilize the three technologies: the separability and multiresolution properties of the wavelet, the local statistics of each subband and the edge enhancement of the shape. The performance of the proposed method has been compared with that of the commonly novel approaches on both synthetic speckle images and real medical ultrasound images. The proposed method reveals superior performance in term of the PSNR value and perceptible quality. Because of the superior performance in noise reduction and edge preservation, the proposed method is more suitable than the other methods in computer-aided diagnosis.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages208-212
Number of pages5
Volume1
DOIs
Publication statusPublished - 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: 2010 Oct 162010 Oct 18

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
CountryChina
CityYantai
Period10-10-1610-10-18

Fingerprint

Speckle
Ultrasonics
Image Enhancement
Computer aided diagnosis
Image enhancement
Noise
Noise abatement
Acoustic noise
Feature extraction
Technology
Statistics
Processing

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Yen, W. C., & Tai, S-C. (2010). Dual-tree wavelet based algorithm for speckle reduction and edge enhancement in ultrasound images. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 (Vol. 1, pp. 208-212). [5639439] https://doi.org/10.1109/BMEI.2010.5639439
Yen, Wen Chien ; Tai, Shen-Chuan. / Dual-tree wavelet based algorithm for speckle reduction and edge enhancement in ultrasound images. Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 1 2010. pp. 208-212
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abstract = "Ultrasound images are the important bases of disease diagnostic. Unfortunately, the qualities of ultrasound images are generally limited due to speckle noises. Speckle reduction is an important pre-processing step in the ultrasound image feature extraction, analysis and recognition. In this paper, we present an approach for ultrasound image enhancement. It is designed to utilize the three technologies: the separability and multiresolution properties of the wavelet, the local statistics of each subband and the edge enhancement of the shape. The performance of the proposed method has been compared with that of the commonly novel approaches on both synthetic speckle images and real medical ultrasound images. The proposed method reveals superior performance in term of the PSNR value and perceptible quality. Because of the superior performance in noise reduction and edge preservation, the proposed method is more suitable than the other methods in computer-aided diagnosis.",
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Yen, WC & Tai, S-C 2010, Dual-tree wavelet based algorithm for speckle reduction and edge enhancement in ultrasound images. in Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. vol. 1, 5639439, pp. 208-212, 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, Yantai, China, 10-10-16. https://doi.org/10.1109/BMEI.2010.5639439

Dual-tree wavelet based algorithm for speckle reduction and edge enhancement in ultrasound images. / Yen, Wen Chien; Tai, Shen-Chuan.

Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 1 2010. p. 208-212 5639439.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Ultrasound images are the important bases of disease diagnostic. Unfortunately, the qualities of ultrasound images are generally limited due to speckle noises. Speckle reduction is an important pre-processing step in the ultrasound image feature extraction, analysis and recognition. In this paper, we present an approach for ultrasound image enhancement. It is designed to utilize the three technologies: the separability and multiresolution properties of the wavelet, the local statistics of each subband and the edge enhancement of the shape. The performance of the proposed method has been compared with that of the commonly novel approaches on both synthetic speckle images and real medical ultrasound images. The proposed method reveals superior performance in term of the PSNR value and perceptible quality. Because of the superior performance in noise reduction and edge preservation, the proposed method is more suitable than the other methods in computer-aided diagnosis.

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Yen WC, Tai S-C. Dual-tree wavelet based algorithm for speckle reduction and edge enhancement in ultrasound images. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 1. 2010. p. 208-212. 5639439 https://doi.org/10.1109/BMEI.2010.5639439