2020
DOI: 10.3390/s21010110
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Vision-Based Suture Tensile Force Estimation in Robotic Surgery

Abstract: Compared to laparoscopy, robotics-assisted minimally invasive surgery has the problem of an absence of force feedback, which is important to prevent a breakage of the suture. To overcome this problem, surgeons infer the suture force from their proprioception and 2D image by comparing them to the training experience. Based on this idea, a deep-learning-based method using a single image and robot position to estimate the tensile force of the sutures without a force sensor is proposed. A neural network structure … Show more

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Cited by 22 publications
(7 citation statements)
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References 42 publications
(57 reference statements)
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“…Restoration of three-dimensional vision may be important to compensate for loss of force feedback, with experienced surgeons able to feel a pseudo-tactile sensation [ 41 , 42 ]. Vision-based approaches to predict force can also use surgical tool information, such as the tool-tip trajectory, velocity, and grasper status [ 43 ]. Combining information arising from different sensory modalities is essential to interact effectively with the environment.…”
Section: Visual Feedbackmentioning
confidence: 99%
“…Restoration of three-dimensional vision may be important to compensate for loss of force feedback, with experienced surgeons able to feel a pseudo-tactile sensation [ 41 , 42 ]. Vision-based approaches to predict force can also use surgical tool information, such as the tool-tip trajectory, velocity, and grasper status [ 43 ]. Combining information arising from different sensory modalities is essential to interact effectively with the environment.…”
Section: Visual Feedbackmentioning
confidence: 99%
“…In general, in IMIS, two or three long and hard tools are introduced into the inflatable abdomen via a small incision (≈10-15 mm in diameter), and used to conduct surgical tasks with the help of a rigid laparoscope to obtain endoscopic vision. [150] For instance, a flexible endoscope with a variety of microtools at the tip is introduced via the anus, vagina or mouth and then perforates the inner wall of the organ. [151] However, these systems usually lack tactile feedback and cannot perceive and quantify the interaction between themselves and soft organs.…”
Section: Interventional Medical Devicesmentioning
confidence: 99%
“…Unfortunately, sensorizing MIS or RAMIS instruments is still very challenging due to the small dimensions or sterilization requirements, and thus, the usage of force-based metrics is not prevalent in skill assessment or in the evaluation of automation. However, currently, there are several solutions to measure or estimate forces and torques on the shaft or the tip of the instruments [ 67 , 68 ], the phantoms, or even to measure the applied grasping force [ 69 , 70 ]. Using such devices, the metrics of the force applied, e.g., grasp maximum , grasp integral , cartesian maximum , or cartesian integral could be included to the validation of surgical subtask automation.…”
Section: Performance Metricsmentioning
confidence: 99%