NDLI: Denoising 3D ultrasound volumes using sparse representation

Content Provider	IEEE Xplore Digital Library
Author	Dae Hoe Kim Plataniotis, K.N. Yong Man Ro
Copyright Year	2013
Description	Author affiliation: Edward S Rogers Sr Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada (Plataniotis, K.N.) \|\| Image & Video Syst. Lab., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea (Dae Hoe Kim; Yong Man Ro)
Abstract	In this paper, a new 3D ultrasound (US) denoising technique that adopts the sparse representation has been proposed for an effective noise reduction in 3D US volumes. The purpose of the proposed method is to reduce image noise while preserving 3D objects edges, hence improving the human interpretation for clinical diagnosis and the 3D segmentation accuracy for further automatic malignancy detection. For denoising 3D US volumes, sparse representation was employed, which has showed an excellent performance in reducing Gaussian noise. It has been well known that US images contain severe multiplicative speckle noise, which has different characteristics compared to the additive Gaussian noise. In this paper, we propose a denoising framework for effectively reducing both Gaussian noise and speckle noise on 3D US volumes. The proposed method removes Gaussian noise using sparse representation. Then, a logarithmic transform is performed to transform the speckle noise into Gaussian noise for applying the sparse representation. To demonstrate the effectiveness of the proposed denoising method, comparative and quantitative experiments had been conducted on a synthesized 3D US phantom data. Experimental results showed that the proposed denoising could improve image quality in terms of denoising measurements.
Starting Page	4034
Ending Page	4037
File Size	770691
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610430
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Three-dimensional displays Speckle Gaussian noise Image edge detection Ultrasonic imaging
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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