Enhanced training environment for minimally invasive surgery

Müller‐Wittig, Wolfgang; Bockholt, Ulrich; Arcos, J.L.L.; Vossl, G.

doi:10.1109/enabl.2001.953426

Cited by 6 publications

(2 citation statements)

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“…To alleviate these problems, MIS specific training is indispensable for the safe practice of these procedures. Thus far, the development of Virtual Reality (VR) simulators has been a major focus of research in surgical technology as they allow for comprehensive training of MIS specific surgical tasks [1,2]. Predominantly, these simulators have attempted to accurately model the mechanical properties of the tissue and its interaction with instruments [3,4].…”

Section: Introductionmentioning

confidence: 99%

Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues

Darzi

Yang

2003

Lecture Notes in Computer Science

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Abstract. The assessment of surgical skills for Minimally Invasive Surgery (MIS) has traditionally been conducted with visual observation and objective scoring. This paper presents a practical framework for the detection of instrument/tissue interaction from MIS video sequences by incorporating multiple visual cues. The proposed technique investigates the characteristics of four major events involved in MIS procedures including idle, retraction, cauterisation and suturing. Constant instrument tracking is maintained and multiple visual cues related to shape, deformation, changes in light reflection and other low level images featured are combined in a Bayesian framework to achieve an overall frame-by-frame classification accuracy of 77% and episode classification accuracy of 85%.

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Section: Introductionmentioning

confidence: 99%

Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues

Darzi

Yang

2003

Lecture Notes in Computer Science

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“…Visualization of dynamics in the medical data leads to enormous applications in the area of virtual reality based surgical simulations in assisting surgical training, surgical planning, pre-operative rehearsal, and intra-operative execution. With the latest medical imaging techniques and VR technology, surgery simulators can provide cheap and intensive training without the need of cadavers or animals [60].…”

Section: Motivationmentioning

confidence: 99%

Geometry map algorithms for interactive deformation and real-time visualization

Liu¹

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Laparoscopic surgery is a popular technique that requires intensive training and practice before actual surgery. Computer simulation provides a virtual training environment for surgeons to practise. Surgery simulators are becoming practical with new frameworks that include core components such as enhanced medical imaging, rapid medical data modeling, realistic visualization procedures, and high fidelity animation techniques. The emphasis on cinematic quality rendering has gained importance with the widespread availability of affordable high end graphics capabilities on desktop computers. However, the challenge is the computation of man-machine interaction with the deformable tissues/organs. Modeling organs for surgery simulation is a formidable challenge due to three reasons. First, the organs and body parts have not only very complex shapes, but are deformable too. The second challenge is to provide a mechanism for surgeons to interact with these complex anatomical objects. The third challenge is the expensive 3D deformation computation required for haptic feedback. We propose a new technique that is extensively superior to the conventional rigid Geometry Images. In our approach, a parameterized representation of virtual organs with multi-layered 2D flat maps is used for the purpose of surgery simulation. An unstructured 3D input mesh is parameterized and resampled into a regular 2D parameterized model called Geometry Map. To accomplish real-time interaction with i

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Virtuelle Realität in der Medizin

Müller‐Wittig

Medizintechnik

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Enhanced training environment for minimally invasive surgery

Cited by 6 publications

References 1 publication

Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues

Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues

Geometry map algorithms for interactive deformation and real-time visualization

Virtuelle Realität in der Medizin

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