Development of an acoustic based sensing system for medical ultrasound image simulator

Author(s):  
Po-Heng Chen ◽  
Chih-Chung Huang ◽  
Kai-Sheng Heish
2021 ◽  
Author(s):  
Xinze Li ◽  
Wei Shi ◽  
Yang Jiao ◽  
Chen Yang ◽  
Ninghao Wang ◽  
...  

2017 ◽  
pp. 761-775
Author(s):  
A.S.C.S. Sastry ◽  
P.V.V. Kishore ◽  
Ch. Raghava Prasad ◽  
M.V.D. Prasad

Medical ultrasound imaging has revolutioned the diagnostics of human body in the last few decades. The major drawback of ultrasound medical images is speckle noise. Speckle noise in ultrasound images is because of multiple reflections of ultrasound waves from hard tissues. Speckle noise degrades the medical ultrasound images lessening the visible quality of the image. The aim of this paper is to improve the image quality of ultrasound medical images by applying block based hard and soft thresholding on wavelet coefficients. Medical ultrasound image transformation to wavelet domain uses debauchee's mother wavelet. Divide the approximate and detailed coefficients into uniform blocks of size 8×8, 16×16, 32×32 and 64×64. Hard and soft thresholding on these blocks of approximate and detailed coefficients reduces speckle noise. Inverse transformation to original spatial domain produces a noise reduced ultrasound image. Experiments on medical ultrasound images obtained from diagnostic centers in Vijayawada, India show good improvements to ultrasound images visually. Quality of improved images in measured using peak signal to noise ratio (PSNR), image quality index (IQI), structural similarity index (SSIM).


2014 ◽  
Author(s):  
Shan Khazendar ◽  
Jessica Farren ◽  
Hisham Al-Assam ◽  
Ahmed Sayasneh ◽  
Hongbo Du ◽  
...  

Author(s):  
Suqin Shi ◽  
Shuxun Yan ◽  
Ying Wang ◽  
Yun Li

2000 ◽  
Vol 39 (Part 1, No. 5B) ◽  
pp. 3236-3241 ◽  
Author(s):  
Toshiyuki Umeda ◽  
Takatoshi Suenaga ◽  
Tomohiro Kuroda ◽  
Osamu Oshiro ◽  
Kunihiro Chihara

2014 ◽  
Vol 644-650 ◽  
pp. 3999-4004
Author(s):  
Min Fen Shen ◽  
Fei Huang ◽  
Zhi Fei Su ◽  
Li Sha Sun

Currently,the ultrasound image has been widely used in diagnosis and treatment of clinical medicine,the results obtained by the diagnostic accuracy and reliability of the image is directly related to the effects of diagnosis and treatment.Because ultrasound images in the imaging process inevitably contaminated noise,thus the research of inhibiting ultrasound image noise is one of the important issues in domestic and international ultrasound imaging techniques.This paper studies the multi-scale analysis and wavelet thresholding two theories,put forwarda denoising algorithm about combining the Nonsubsampling contourlet transform and a new threshold function,experiments show that the new algorithm can not only good at suppressing the noise of ultrasound images,and can better retain image edge and texture details.


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