scholarly journals Efficient target tracking for 3D ultrasound-guided needle steering

Author(s):  
Guillaume Lapouge ◽  
Gaelle Fiard ◽  
Philippe Poignet ◽  
Jocelyne Troccaz
2019 ◽  
Vol 47 (6) ◽  
pp. E9 ◽  
Author(s):  
Geirmund Unsgård ◽  
Frank Lindseth

3D ultrasound (US) is a convenient tool for guiding the resection of low-grade gliomas, seemingly without deterioration in patients’ quality of life. This article offers an update of the intraoperative workflow and the general principles behind the 3D US acquisition of high-quality images.The authors also provide case examples illustrating the technique in two small mesial temporal lobe lesions and in one insular glioma. Due to the ease of acquiring new images for navigation, the operations can be guided by updated image volumes throughout the entire course of surgery. The high accuracy offered by 3D US systems, based on nearly real-time images, allows for precise and safe resections. This is especially useful when an operation is performed through very narrow transcortical corridors.


2011 ◽  
Vol 196 (6) ◽  
pp. W753-W757 ◽  
Author(s):  
Katsutoshi Sugimoto ◽  
Fuminori Moriyasu ◽  
Junji Shiraishi ◽  
Masahiko Yamada ◽  
Yasuharu Imai

2016 ◽  
Vol 01 (01) ◽  
pp. 1640007 ◽  
Author(s):  
Mohsen Khadem ◽  
Carlos Rossa ◽  
Ron S. Sloboda ◽  
Nawaid Usmani ◽  
Mahdi Tavakoli

In needle-based medical procedures, beveled tip flexible needles are steered inside soft tissue to reach the desired target locations. In this paper, we have developed an autonomous image-guided needle steering system that enhances targeting accuracy in needle insertion while minimizing tissue trauma. The system has three main components. First is a novel mechanics-based needle steering model that predicts needle deflection and accepts needle tip rotation as an input for needle steering. The second is a needle tip tracking system that determines needle deflection from the ultrasound images. The needle steering model employs the estimated needle deflection at the present time to predict needle tip trajectory in the future steps. The third component is a nonlinear model predictive controller (NMPC) that steers the needle inside the tissue by rotating the needle beveled tip. The MPC controller calculates control decisions based on iterative optimization of the predictions of the needle steering model. To validate the proposed ultrasound-guided needle steering system, needle insertion experiments in biological tissue phantoms are performed in two cases–with and without obstacle. The results demonstrate that our needle steering strategy guides the needle to the desired targets with the maximum error of 2.85[Formula: see text]mm.


Author(s):  
I. Reinertsen ◽  
A. S. Jakola ◽  
P. Friderichsen ◽  
F. Lindseth ◽  
O. Solheim ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document