Ultrasound Image Overlay onto Endoscopic Image by Fusing 2D-3D Tracking of Laparoscopic Ultrasound Probe

Author(s):  
Ryo Oguma ◽  
Toshiya Nakaguchi ◽  
Ryoichi Nakamura ◽  
Tadashi Yamaguchi ◽  
Hiroshi Kawahira ◽  
...  
Author(s):  
Ryo OGUMA ◽  
Toshiya NAKAGUCHI ◽  
Ryoichi NAKAMURA ◽  
Tadashi YAMAGUCHI ◽  
Hiroshi KAWAHIRA ◽  
...  

Author(s):  
Smruti Mahapatra ◽  
Tarana Parvez Kaovasia ◽  
Sufia Ainechi ◽  
Ana Ainechi ◽  
Molly Acord ◽  
...  

Abstract Standard diagnostic ultrasound imaging procedures heavily rely on a sonographer for image acquisition. Given the ultrasound probe is manually manipulated by the sonographer, there is a potential for noise artifacts like blurry acquired images caused by involuntary hand movements. Certain surgical procedures can also cause patients to exhibit involuntary “jumping” movements while on the operating table leading to further deterioration in ultrasound image quality. In this study, we attempt to mitigate these problems by fabricating a 3D-printed ultrasound probe holder. Due to the lightweight nature of the device, it can attach to surgical retractors without influencing the functionality of the retractor. Therefore, the 3D printed probe holder not only reduces relative motion between the probe and the patient, but also reduce the need for a sonographer during complex surgeries.


2010 ◽  
Vol 7 (2) ◽  
pp. 123-130
Author(s):  
Rubén Machucho Cadena ◽  
Sergio de la Cruz Rodríguez ◽  
Eduardo Bayro-Corrochano

We have developed a method to render brain tumours from endoneurosonography. We propose to track an ultrasound probe in successive endoscopic images without relying on an external optic or magnetic tracking system. The probe is tracked using two different methods: one of them based on a generalised Hough transform and the other one based on particle filters. By estimating the pose of the ultrasound probe in several contiguous images, we use conformal geometric algebra to compute the geometric transformations that yield the 3D position of the tumour, which was segmented in the ultrasound image using morphological operators. We use images from brain phantoms to evaluate the performance of the proposed methods, and our results show that they are robust.


Urology ◽  
2015 ◽  
Vol 85 (4) ◽  
pp. 953-958 ◽  
Author(s):  
Jason C. Sea ◽  
Clinton D. Bahler ◽  
Joshua D. Ring ◽  
Sable Amstutz ◽  
Narendra T. Sanghvi ◽  
...  

2017 ◽  
Vol 28 (5) ◽  
pp. 1986-1993 ◽  
Author(s):  
Yasunori Minami ◽  
Tomohiro Minami ◽  
Satoru Hagiwara ◽  
Hiroshi Ida ◽  
Kazuomi Ueshima ◽  
...  

2021 ◽  
pp. 96-105
Author(s):  
Kanta Miura ◽  
Koichi Ito ◽  
Takafumi Aoki ◽  
Jun Ohmiya ◽  
Satoshi Kondo

2010 ◽  
Vol 26 (2) ◽  
pp. 374-377 ◽  
Author(s):  
Naoko Yamamoto ◽  
Hisahiko Hiroi ◽  
Yutaka Osuga ◽  
Tetsuya Hirata ◽  
Akihisa Fujimoto ◽  
...  

2020 ◽  
Vol 43 (2) ◽  
pp. 423-427
Author(s):  
Yucong Zhang ◽  
Wei Ouyang ◽  
Bolin Wu ◽  
Gaurab Pokhrel ◽  
Beichen Ding ◽  
...  

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