Publication / RCBTR
Published Date: 2020/02/01
Published By: Dr Alireza Ahmadian
Published At: The International Journal of Medical Robotics and Computer Assisted Surgery
Attachment Files:
Published URL:

Saeedeh Navaei Lavasani, Mohammadreza Deevband, Parastoo Farnia, Alireza Ahmadian, Samaneh Saghatchi


Electromagnetic (EM)‐based navigation methods without line‐of‐sight restrictions may improve lymph node sampling precision in transbronchial needle aspiration (TBNA) procedure. However, EM tracking susceptibility to metallic objects severely declines its precision.
We proposed to track the location of a tool in a dynamic bronchial phantom and compensate field distortion in a real‐time procedure. Extended Kalman filter simultaneous localization and mapping (EKF‐SLAM) algorithm employ the bronchial motion and observations of a redundant sensor. The proposed approach was applied to the phantom with four different amplitudes of breathing motion in the presence of two types of field‐distorting objects.
The proposed approach improved the accuracy of EM tracking on average from 18.94 ±1.17 mm to 4.59 ±0.29 mm and from 14.2 ±0.69 mm to 4.31 ±0.18mm in the presence of steel and aluminum, respectively.
With EM tracking position error reduction based on the EKF‐SLAM technique, the approach is appeared promising for a navigated ultrasound TBNA procedure.