Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images

2019 ◽  
pp. 123-142
Author(s):  
Ju Zhang ◽  
Yun Cheng
Keyword(s):  
Guided Filter ◽  
Ultrasound Images ◽  
Medical Ultrasound

A Novel Despeckling Method for Medical Ultrasound Images Based on the Nonsubsampled Shearlet and Guided Filter

2019 ◽  
Vol 39 (3) ◽  
pp. 1449-1470 ◽  
Author(s):  
Ju Zhang ◽  
Xiaojie Xiu ◽  
Jun Zhou ◽  
Kailun Zhao ◽  
Zheng Tian ◽  
...  
Keyword(s):  
Guided Filter ◽  
Ultrasound Images ◽  
Medical Ultrasound

scholarly journals Shearlet and guided filter based despeckling method for medical ultrasound images

2019 ◽  
Vol 45 ◽  
pp. S85
Author(s):  
Yun Cheng ◽  
Zhibin Bu ◽  
Qianghong Xu ◽  
Meng Ye ◽  
Ju Zhang ◽  
...  
Keyword(s):  
Guided Filter ◽  
Ultrasound Images ◽  
Medical Ultrasound

scholarly journals Motion blur invariant for estimating motion parameters of medical ultrasound images

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Barmak Honarvar Shakibaei Asli ◽  
Yifan Zhao ◽  
John Ahmet Erkoyuncu
Keyword(s):  
Image Quality Assessment ◽  
Medical Image Analysis ◽  
Main Idea ◽  
Delta Function ◽  
Motion Blur ◽  
Ultrasound Images ◽  
Medical Ultrasound ◽  
Fetal Ultrasound ◽  
Dirac Delta ◽  
Motion Parameters

AbstractHigh-quality medical ultrasound imaging is definitely concerning motion blur, while medical image analysis requires motionless and accurate data acquired by sonographers. The main idea of this paper is to establish some motion blur invariant in both frequency and moment domain to estimate the motion parameters of ultrasound images. We propose a discrete model of point spread function of motion blur convolution based on the Dirac delta function to simplify the analysis of motion invariant in frequency and moment domain. This model paves the way for estimating the motion angle and length in terms of the proposed invariant features. In this research, the performance of the proposed schemes is compared with other state-of-the-art existing methods of image deblurring. The experimental study performs using fetal phantom images and clinical fetal ultrasound images as well as breast scans. Moreover, to validate the accuracy of the proposed experimental framework, we apply two image quality assessment methods as no-reference and full-reference to show the robustness of the proposed algorithms compared to the well-known approaches.

scholarly journals Geometric distortion of area in medical ultrasound images

2017 ◽  
Vol 797 ◽  
pp. 012002 ◽  
Author(s):  
T Bland ◽  
J Tong ◽  
B Ward ◽  
N G Parker
Keyword(s):  
Geometric Distortion ◽  
Ultrasound Images ◽  
Medical Ultrasound
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