Integration of Force Reflection with Tactile Sensing for Minimally Invasive Robotics-Assisted Tumor Localization

2013 ◽  
Vol 6 (2) ◽  
pp. 217-228 ◽  
Author(s):  
Ali Talasaz ◽  
Rajni V. Patel
Keyword(s):  
Minimally Invasive ◽  
Tactile Sensing ◽  
Tumor Localization ◽  
Force Reflection

Robot-assisted Tactile Sensing for Minimally Invasive Tumor Localization

2009 ◽  
Vol 28 (9) ◽  
pp. 1118-1133 ◽  
Author(s):  
A.L. Trejos ◽  
J. Jayender ◽  
M.T. Perri ◽  
M.D. Naish ◽  
R.V. Patel ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Tactile Sensing ◽  
Tumor Localization ◽  
Robot Assisted ◽  
Invasive Tumor

State-of-the-Art in Force and Tactile Sensing for Minimally Invasive Surgery

2008 ◽  
Vol 8 (4) ◽  
pp. 371-381 ◽  
Author(s):  
Pinyo Puangmali ◽  
Kaspar Althoefer ◽  
Lakmal D. Seneviratne ◽  
Declan Murphy ◽  
Prokar Dasgupta
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
State Of The Art ◽  
Tactile Sensing

Smart Endoscopic Tool for the Measurement of Force and Softness of Grasped Object in Minimally Invasive Surgery

2008 ◽  
Author(s):  
M. Ramezanifard ◽  
S. Sokhanvar ◽  
W. Xie ◽  
M. Packirisamy ◽  
J. Dargahi
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Applied Force ◽  
Tactile Sensing ◽  
Research Project

One of the shortcomings of the current endoscopic graspers is the lack of tactile sensing. We are reporting the results of the first stage of a research project to rectify the tactile sensing in endoscopic tools. This paper introduces a smart endoscopic grasper equipped with sensors for measuring the applied force and the angle of the grasper tip. It is shown that using this method, the softness of the grasped object can be estimated. The next phase of this research would be devising an appropriate method to feedback the measured date.

Artificial tactile sensing in minimally invasive surgery – a new technical approach

2006 ◽  
Vol 15 (5) ◽  
pp. 296-304 ◽  
Author(s):  
Sebastian Schostek ◽  
Chi‐Nghia Ho ◽  
Daniel Kalanovic ◽  
Marc O. Schurr
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Tactile Sensing ◽  
Technical Approach

scholarly journals Technical Advances in Segmentectomy for Lung Cancer: A Minimally Invasive Strategy for Deep, Small, and Impalpable Tumors

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3137
Author(s):  
Takashi Eguchi ◽  
Toshihiko Sato ◽  
Kimihiro Shimizu
Keyword(s):  
Lung Cancer ◽  
Minimally Invasive ◽  
Thoracic Surgery ◽  
Early Stage ◽  
Three Dimensional ◽  
Tumor Localization ◽  
Early Stage Lung Cancer ◽  
Published Evidence ◽  
Radiofrequency Identification ◽  
Technical Advances

With the increased detection of early-stage lung cancer and the technical advancement of minimally invasive surgery (MIS) in the field of thoracic surgery, lung segmentectomy using MIS, including video- and robot-assisted thoracic surgery, has been widely adopted. However, lung segmentectomy can be technically challenging for thoracic surgeons due to (1) complex segmental and subsegmental anatomy with frequent anomalies, and (2) difficulty in localizing deep, small, and impalpable tumors, leading to difficulty in obtaining adequate margins. In this review, we summarize the published evidence and discuss key issues related to MIS segmentectomy, focusing on preoperative planning/simulation and intraoperative tumor localization. We also demonstrate two of our techniques: (1) three-dimensional computed tomography (3DCT)-based resection planning using a novel 3DCT processing software, and (2) tumor localization using a novel radiofrequency identification technology.

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