scholarly journals Surgical tool tracking based on two CNNs: from coarse to fine

2019 ◽  
Vol 2019 (14) ◽  
pp. 467-472 ◽  
Author(s):  
Zijian Zhao ◽  
Sandrine Voros ◽  
Zhaorui Chen ◽  
Xiaolin Cheng
Keyword(s):  
Surgical Tool ◽  
Coarse To Fine ◽  
Tool Tracking

scholarly journals Real-time surgical tool tracking and pose estimation using a hybrid cylindrical marker

2017 ◽  
Vol 12 (6) ◽  
pp. 921-930 ◽  
Author(s):  
Lin Zhang ◽  
Menglong Ye ◽  
Po-Ling Chan ◽  
Guang-Zhong Yang
Keyword(s):  
Real Time ◽  
Pose Estimation ◽  
Surgical Tool ◽  
Tool Tracking

Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery

2017 ◽  
pp. 346-351
Author(s):  
Josué Page Vizcaíno ◽  
Nicola Rieke ◽  
David Joseph Tan ◽  
Federico Tombari ◽  
Abouzar Eslami ◽  
...  
Keyword(s):  
Failure Detection ◽  
Automatic Initialization ◽  
Surgical Tool ◽  
Tool Tracking

Integration of Vision and Inertial Sensors for a Surgical Tool Tracking

2006 ◽  
Author(s):  
N. Parnian ◽  
M. F. Golnaraghi
Keyword(s):  
Inertial Sensors ◽  
Vision System ◽  
Estimation Algorithm ◽  
Optical Data ◽  
Mems Devices ◽  
Motion Modeling ◽  
Surgical Tool ◽  
Short Period ◽  
Tool Motion ◽  
Tool Tracking

This paper represents a hybrid Vision/INS system in a microsurgical tool tracking application. Surgical MEMS devices must not only cope with all of the challenges that conventional MEMS devices have, but also address the integration of electronics and signal processing, calibration, reliability, accuracy and testing. A hybrid Vision/INS system with the integration of the Extended Kalman Filter precisely calculates 6D position-orientation of a microsurgical tool during surgery. This configuration guarantees the real-time tracking of the instrument. Ultimately, the vision system supports the IMU to deal with the drift problem but the position error increases dramatically in the absence of the vision system. In this paper, the tool motion modeling is proposed to bind the error in the acceptable range for a short period of missing data. The motion of the tool is modeled and updated at any time that the instrument is in the camera view field. This model is applied to the estimation algorithm whenever the camera is not in line of site and the optical data is missing.

Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery

2015 ◽  
pp. 266-273 ◽  
Author(s):  
Nicola Rieke ◽  
David Joseph Tan ◽  
Mohamed Alsheakhali ◽  
Federico Tombari ◽  
Chiara Amat di San Filippo ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Surgical Tool ◽  
Tool Tracking

scholarly journals Towards real-time multiple surgical tool tracking

2020 ◽  
pp. 1-7
Author(s):  
Maria Robu ◽  
Abdolrahim Kadkhodamohammadi ◽  
Imanol Luengo ◽  
Danail Stoyanov
Keyword(s):  
Real Time ◽  
Surgical Tool ◽  
Tool Tracking

scholarly journals Weakly supervised segmentation for real‐time surgical tool tracking

2019 ◽  
Vol 6 (6) ◽  
pp. 231-236 ◽  
Author(s):  
Eung‐Joo Lee ◽  
William Plishker ◽  
Xinyang Liu ◽  
Shuvra S. Bhattacharyya ◽  
Raj Shekhar
Keyword(s):  
Real Time ◽  
Surgical Tool ◽  
Supervised Segmentation ◽  
Weakly Supervised ◽  
Tool Tracking
Sign in / Sign up

Export Citation Format

Share Document