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BAS-RELIEF MAP USING TEXTURE ANALYSIS WITH APPLICATION TO LIVE ENHANCEMENT OF ULTRASOUND IMAGES
Du, Huarui1; Ma, Rui2; Wang, Xiaoying3,4; Zhang, Jue1,4; Fang, Jing1,4
关键词Ultrasound Biomedical B-scan Image Texture Analysis Bas-relief Filter Speckle Reduction Edge Enhancement Canny Edge Detection Field Ii Simulation
刊名ULTRASOUND IN MEDICINE AND BIOLOGY
2015-05-01
DOI10.1016/j.ultrasmedbio.2014.12.020
41期:5页:1446-1460
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Acoustics ; Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]Acoustics ; Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]ANISOTROPIC DIFFUSION ; SPECKLE ; NOISE
英文摘要

For ultrasound imaging, speckle is one of the most important factors in the degradation of contrast resolution because it masks meaningful texture and has the potential to interfere with diagnosis. It is expected that researchers would explore appropriate ways to reduce the speckle noise, to find the edges of structures and enhance weak borders between different organs in ultrasound imaging. Inspired by the principle of differential interference contrast microscopy, a "bas-relief map" is proposed that depicts the texture structure of ultrasound images. Based on a bas-relief map, an adaptive bas-relief filter was developed for ultrafast despeckling. Subsequently, an edge map was introduced to enhance the edges of images in real time. The holistic bas-relief map approach has been used experimentally with synthetic phantoms and digital ultrasound B-scan images of liver, kidney and gallbladder. Based on the visual inspection and the performance metrics of the despeckled images, it was found that the bas-relief map approach is capable of effectively reducing the speckle while significantly enhancing contrast and tissue boundaries for ultrasonic images, and its speckle reduction ability is comparable to that of Kuan, Lee and Frost filters. Meanwhile, the proposed technique could preserve more intra-region details compared with the popular speckle reducing anisotropic diffusion technique and more effectively enhance edges. In addition, the adaptive bas-relief filter was much less time consuming than the Kuan, Lee and Frost filter and speckle reducing anisotropic diffusion techniques. The bas-relief map strategy is effective for speckle reduction and live enhancement of ultrasound images, and can provide a valuable tool for clinical diagnosis. (C) 2015 World Federation for Ultrasound in Medicine & Biology.

语种英语
WOS记录号WOS:000352803100030
引用统计
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/55230
专题北京大学第一临床医学院_放射治疗科
作者单位1.Peking Univ, Coll Engn, Beijing 100871, Peoples R China
2.VINNO Technol Suzhou Co Ltd, Suzhou, Peoples R China
3.Peking Univ, Hosp 1, Dept Radiol, Beijing 100871, Peoples R China
4.Peking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Du, Huarui,Ma, Rui,Wang, Xiaoying,et al. BAS-RELIEF MAP USING TEXTURE ANALYSIS WITH APPLICATION TO LIVE ENHANCEMENT OF ULTRASOUND IMAGES[J]. ULTRASOUND IN MEDICINE AND BIOLOGY,2015,41(5):1446-1460.
APA Du, Huarui,Ma, Rui,Wang, Xiaoying,Zhang, Jue,&Fang, Jing.(2015).BAS-RELIEF MAP USING TEXTURE ANALYSIS WITH APPLICATION TO LIVE ENHANCEMENT OF ULTRASOUND IMAGES.ULTRASOUND IN MEDICINE AND BIOLOGY,41(5),1446-1460.
MLA Du, Huarui,et al."BAS-RELIEF MAP USING TEXTURE ANALYSIS WITH APPLICATION TO LIVE ENHANCEMENT OF ULTRASOUND IMAGES".ULTRASOUND IN MEDICINE AND BIOLOGY 41.5(2015):1446-1460.
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