2017
DOI: 10.1007/978-3-319-60928-7_11
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Robust Laparoscopic Instruments Tracking Using Colored Strips

Abstract: To assist surgeons in the acquisition of the required skills for the proper execution of the laparoscopic procedure, surgical simulators are used.During training with simulators it is useful to provide a surgical performance quantitative evaluation. Recent research works showed that such evaluation can be obtained by tracking the laparoscopic instruments, using only the images provided by the laparoscope and without hindering the surgical scene. In this work the state of the art method is improved so that a ro… Show more

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Cited by 10 publications
(6 citation statements)
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References 17 publications
(22 reference statements)
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“…The simulation sessions will be administered until the procedure is correctly performed without the AR support and the objective of the desired performance is achieved. The latter will be evaluated trough the automatic evaluation system that extracts: the task execution time, the time spent outside the field of view camera instruments, the path length and the jerk, developed in our previous work [48]. Our study has some limitations.…”
Section: Discussionmentioning
confidence: 99%
“…The simulation sessions will be administered until the procedure is correctly performed without the AR support and the objective of the desired performance is achieved. The latter will be evaluated trough the automatic evaluation system that extracts: the task execution time, the time spent outside the field of view camera instruments, the path length and the jerk, developed in our previous work [48]. Our study has some limitations.…”
Section: Discussionmentioning
confidence: 99%
“…where N refers to the total number of samples in the processed motion. The normalized jerk (J norm ) is expressed in Equation ( 9) [41,42]:…”
Section: Performance Metricsmentioning
confidence: 99%
“…The acquired sets were automatically processed to estimate the 2D target visualization error (TVE2D), that is: the offset, expressed in pixels, between the virtual and real objects in the image plane (i.e., the centroids of the virtual landmarks, and the corresponding real 3D-printed landmarks). The Real Set and the AR Set were processed in the hue-saturationvalue (HSV) color space that allows a robust segmentation even when the target objects show non-uniformities in illumination, shadows, or shading [37]. The image processing, performed in MATLAB, included the following steps:…”
Section: Evaluation Of the Camera Calibration And Ar Visualizationmentioning
confidence: 99%