Surgical process modelling: a review

Lalys, Florent; Jannin, Pierre

doi:10.1007/s11548-013-0940-5

Cited by 204 publications

(190 citation statements)

References 77 publications

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“…This is a form of semantic analysis which is fundamentally different from the traditional automatic X-ray exposure control combining user interactions and measure of the statistics of the image. In the field of operating theater monitoring and surgical process modeling for laproscopic and cataract surgeries, similar pioneering work has been reported [9], [8]. In our case, such semantic information may also be used for automatic dose control.…”

Section: Introductionsupporting

confidence: 62%

Scale-space for empty catheter segmentation in PCI fluoroscopic images

Bacchuwar

Cousty

Vaillant³

et al. 2017

Int J CARS

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Purpose: In this article, we present a method for empty guiding catheter segmentation in fluoroscopic X-ray images. The guiding catheter, being a commonly visible landmark, its segmentation is an important and a difficult brick for Percutaneous Coronary Intervention (PCI) procedure modeling. Methods: In number of clinical situations, the catheter is empty and appears as a low contrasted structure with two parallel and partially disconnected edges. To segment it, we work on the level-set scale-space of image, the min tree, to extract curve blobs. We then propose a novel structural scale-space, a hierarchy built on these curve blobs. The deep connected component, i.e. the cluster of curve blobs on this hierarchy, that maximizes the likelihood to be an empty catheter is retained as final segmentation. Results: We evaluate the performance of the algorithm on a database of 1250 fluoroscopic images from 6 patients. As a result, we obtain very good qualitative and quantitative segmentation performance, with mean precision and recall of 80.48% and 63.04% respectively. Conclusions: We develop a novel structural scale-space to segment a structured object, the empty catheter, in challenging situations where the information content is very sparse in the images. Fully-automatic empty catheter segmentation in X-ray fluoroscopic images is an important and preliminary step in PCI procedure modeling, as it aids in tagging the arrival and removal location of other interventional tools.

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Section: Introductionsupporting

confidence: 62%

Scale-space for empty catheter segmentation in PCI fluoroscopic images

Bacchuwar

Cousty

Vaillant³

et al. 2017

Int J CARS

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“…In the literature, modeling and evaluating procedural knowledge and surgical activities have been extensively studied [7], and both refer to the notion of Surgical Process Modeling (SPM). The SPM methodology is entirely articulated around the concept of granularity.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training

Despinoy

Bouget

Forestier

et al. 2016

IEEE Trans. Biomed. Eng.

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Abstract-Dexterity and procedural knowledge are two critical skills surgeons need to master to perform accurate and safe surgical interventions. However, current training systems do not allow to provide an in-depth analysis of surgical gestures to precisely assess these skills. Our objective is to develop a method for the automatic and quantitative assessment of surgical gestures. To reach this goal, we propose a new unsupervised algorithm that can automatically segment kinematic data from robotic training sessions. Without relying on any prior information or model, this algorithm detects critical points in the kinematic data which define relevant spatio-temporal segments. Based on the association of these segments, we obtain an accurate recognition of the gestures involved in the surgical training task. We then perform an advanced analysis and assess our algorithm using datasets recorded during real expert training sessions. After comparing our approach with the manual annotations of the surgical gestures, we observe 97.4% accuracy for the learning purpose and an average matching score of 81.9% for the fullyautomated gesture recognition process. Our results show that trainees workflow can be followed and surgical gestures may be automatically evaluated according to an expert database. This approach tends towards improving training efficiency by minimizing the learning curve.

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“…The field of Surgical Process Modeling (SPM) is concerned with the definition of appropriate workflow models [110,166]. The main challange is to formalize the existing expert knowledge, be it formal knowledge from textbooks or experience-based knowledge that also considers variations and deviations from theory.…”

Section: Context Awarenessmentioning

confidence: 99%

Content-based processing and analysis of endoscopic images and videos: A survey

Münzer

Schoeffmann

Böszörményi

2017

Multimed Tools Appl

112

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In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Since then, various research communities with manifold backgrounds have picked up on the idea of processing and automatically analyzing the inherently available video signal that is produced by the endoscopic camera. Proposed works mainly include image processing techniques, pattern recognition, machine learning methods and Computer Vision algorithms. While most contributions deal with realtime assistance at procedure time, the post-procedural processing of recorded videos is still in its infancy. Many post-processing problems are based on typical Multimedia methods like indexing, retrieval, summarization and video interaction, but have only been sparsely addressed so far for this domain. The goals of this survey are (1) to introduce this research field to a broader audience in the Multimedia community to stimulate further research, (2) to describe domain-specific characteristics of endoscopic videos that need to be addressed in a pre-processing step, and (3) to systematically bring together the very diverse research results for the first time to provide a broader overview of related research that is currently not perceived as belonging together.

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Surgical process modelling: a review

Abstract: This review allows a greater understanding of the SPM field to be gained and introduces future related prospects.

Cited by 204 publications

References 77 publications

Scale-space for empty catheter segmentation in PCI fluoroscopic images

Scale-space for empty catheter segmentation in PCI fluoroscopic images

Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training

Content-based processing and analysis of endoscopic images and videos: A survey

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