Color Doppler shear wave imaging and its application to breast imaging

2016 ◽  
Vol 140 (4) ◽  
pp. 3419-3419
Author(s):  
Yoshiki Yamakoshi ◽  
Takahito Nakajima ◽  
Mayuko Yamazaki ◽  
Ren Koda ◽  
Naoki Sunaguchi
2016 ◽  
Vol 39 (3) ◽  
pp. 172-188
Author(s):  
Naoki Sunaguchi ◽  
Yoshiki Yamakoshi ◽  
Takahito Nakajima

This study investigates shear wave phase map reconstruction using a limited number of color flow images (CFIs) acquired with a color Doppler ultrasound imaging instrument. We propose an efficient reconstruction method to considerably reduce the number of CFIs required for reconstruction and compare this method with Fourier analysis-based color Doppler shear wave imaging. The proposed method uses a two-step phase reconstruction process, including an initial phase map derived from four CFIs using an advanced iterative algorithm of optical interferometry. The second step reduces phase artifacts in the initial phase map using an iterative correction procedure that cycles between the Fourier and inverse Fourier domains while imposing directional filtering and total variation regularization. We demonstrate the efficacy of this method using synthetic and experimental data of a breast phantom and human breast tissue. Our results show that the proposed method maintains image quality and reduces the number of CFIs required to four; previous methods have required at least 32 CFIs to achieve equivalent image quality. The proposed method is applicable to real-time shear wave elastography using a continuous shear wave produced by a mechanical vibrator.


Author(s):  
Yoshiki Yamakoshi ◽  
Takahito Nakajima ◽  
Toshihiro Kasahara ◽  
Mayuko Yamazaki ◽  
Ren Koda ◽  
...  

2017 ◽  
Vol 45 (1) ◽  
pp. 129-136 ◽  
Author(s):  
Atsushi Yamamoto ◽  
Yoshiki Yamakoshi ◽  
Takashi Ohsawa ◽  
Hitoshi Shitara ◽  
Tsuyoshi Ichinose ◽  
...  

2016 ◽  
Vol 55 (7S1) ◽  
pp. 07KC08 ◽  
Author(s):  
Yoshiki Yamakoshi ◽  
Mayuko Yamazaki ◽  
Toshihiro Kasahara ◽  
Naoki Sunaguchi ◽  
Yasushi Yuminaka

2019 ◽  
Author(s):  
Stefan Schimschal ◽  
Stephen Fayers ◽  
Nicklas Ritzmann ◽  
Martin Cox ◽  
Iain Whyte

2021 ◽  
Vol 118 (2) ◽  
pp. 023702
Author(s):  
Steve Beuve ◽  
Samuel Callé ◽  
Elise Khoury ◽  
Emmanuel Gilles Simon ◽  
Jean-Pierre Remenieras

Author(s):  
Mickael Tanter ◽  
Mathieu Pernot ◽  
Gabriel Montaldo ◽  
Jean-Luc Gennisson ◽  
Eric Bavu ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xue Zheng ◽  
Fei Li ◽  
Zhi-Dong Xuan ◽  
Yu Wang ◽  
Lei Zhang

Abstract Background To explore the value of quantitative shear wave elastography (SWE) plus the Breast Imaging Reporting and Data System (BI-RADS) in the identification of solid breast masses. Methods A total of 108 patients with 120 solid breast masses admitted to our hospital from January 2019 to January 2020 were enrolled in this study. The pathological examination served as the gold standard for definitive diagnosis. Both SWE and BI-RADS grading were performed. Results Out of the 120 solid breast masses in 108 patients, 75 benign and 45 malignant masses were pathologically confirmed. The size, shape, margin, internal echo, microcalcification, lateral acoustic shadow, and posterior acoustic enhancement of benign and malignant masses were significantly different (all P < 0.05). The E mean, E max, SD, and E ratio of benign and malignant masses were significantly different (all P < 0.05). The E min was similar between benign and malignant masses (P > 0.05). The percentage of Adler grade II-III of the benign masses was lower than that of the malignant masses (P < 0.05). BI-RADS plus SWE yielded higher diagnostic specificity and positive predictive value than either BI-RADS or SWE; BI-RADS plus SWE yielded the highest diagnostic accuracy among the three methods (all P < 0.05). Conclusion SWE plus routine ultrasonography BI-RADS has a higher value in differentiating benign from malignant breast masses than color doppler or SWE alone, which should be further promoted in clinical practice.


2021 ◽  
pp. 104517
Author(s):  
Shuan Yan ◽  
Hongyong Yuan ◽  
Yan Gao ◽  
Boao Jin ◽  
Lizheng Deng ◽  
...  

2020 ◽  
Author(s):  
N. Kerrouche ◽  
A. Alhammadi ◽  
A. AlMershed ◽  
H. Al-Khateeb ◽  
D.N. Tiwary ◽  
...  

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