New Methods for Video-Based Tracking of Laparoscopic Tools

Cano, Alicia; Lamata, Pablo; Gayá, Francisco; Gómez, Enrique J.

doi:10.1007/11790273_16

Cited by 12 publications

(14 citation statements)

References 3 publications

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“…Determination of point P in real space: We define P 3 as an auxiliary point, the 3D correspondence in space of P 2 . By means of the apparent diameter method described in [28], P3 is obtained using C, /and W^ST by triangle similarity (Fig. 2 left).…”

Section: System Descriptionmentioning

confidence: 99%

“…In the literature, segmentation has been obtained based on color [19][20][21], marker [22,23], edge [24,25], and/or geometric features [26]. The second challenge requires calculating the three-dimensional (3D) coordinates based on the geometrical features of the segmented marker [22,27], instrument [28,29], or from an estimation of the insertion point [30]. In previous works, we presented three different approaches to obtain the 3D coordinates: 1) based on the vanishing point of the instrument's borders [28]; 2) based on the instrument's apparent diameter [28]; and 3) based on the transversal section of the instrument [29].…”

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confidence: 99%

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EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

et al. 2012

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Section: System Descriptionmentioning

confidence: 99%

mentioning

confidence: 99%

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

et al. 2012

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“…• Detection of the instrument's tip in the screen can be performed by color-based gradient analysis along its bisecting line (obtained from borders' information) [7]. • 3D reconstruction of the tip and orientation information is obtained by means of the geometrical properties of the instrument [8].…”

Section: A Working Principlesmentioning

confidence: 99%

EVA: Endoscopic Video Analysis of the Surgical Scene for the Assessment of MIS Psychomotor Skills

et al. 2014

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Abstract-The present work covers the first validation efforts of the EVA Tracking System for the assessment of minimally invasive surgery (MIS) psychomotor skills. Instrument movements were recorded for 42 surgeons (4 expert, 22 residents, 16 novice medical students) and analyzed for a box trainer peg transfer task. Construct validation was established for 7/9 motion analysis parameters (MAPs). Concurrent validation was determined for 8/9 MAPs against the TrEndo Tracking System. Finally, automatic determination of surgical proficiency based on the MAPs was sought by 3 different approaches to supervised classification (LDA, SVM, ANFTS), with accuracy results of 61.9%, 83.3% and 80.9% respectively. Results not only reflect on the validation of EVA for skills' assessment, but also on the relevance of motion analysis of instruments in the determination of surgical competence.

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“…A design of a robust edge detection method could improve current accuracy. In our previous works [7], two methods were developed exploiting the properties of the vanishing point of the tool in the image, and the visualized tools width relative to the distance to the camera. In particular, the second approach presents a similar stability to the one presented in this paper (SD lower than 3 mm.…”

Section: A Laparoscopic Tool's Trackingmentioning

confidence: 99%

“…Tonet et al [6] proposed a heuristic approach to estimate the depth of the instrument by means of the knowledge of the tool width and its orientation. Authors have previously published two methods for assessing the 3D position of the tools' tips [7]. The first exploits the properties of the vanishing point of the tool in the image, and the second one, the visualized tools width relative to the distance to the camera.…”

Section: Introductionmentioning

confidence: 99%

Video-endoscopic image analysis for 3D reconstruction of the surgical scene

et al. 2009

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-Video-endoscopic image analysis is an important source of information for extracting relevant 3D information of the surgical scene in minimally invasive surgery. This work proposes a new approach for getting depth information and relative position between instruments and organs based on video image analysis. The proposed image analysis extracts information from: (1) the projective geometry of the surgical setting in the image to determine laparoscopic tool's pose, and (2) the scene illumination captured in the image for getting a depth-map of the surgical scene. Results have verified the potential of video-analysis based methods for obtaining 3D information of the whole surgical scene. This information offers new possibilities for developing new augmented reality surgical applications and for improving surgical training with objective metrics. The main benefit of this approach is the lack of extra elements which disturb surgeons' performance in the clinical routine.

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New Methods for Video-Based Tracking of Laparoscopic Tools

Cited by 12 publications

References 3 publications

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

EVA: Endoscopic Video Analysis of the Surgical Scene for the Assessment of MIS Psychomotor Skills

Video-endoscopic image analysis for 3D reconstruction of the surgical scene

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