Mastering interactive virtual bronchioscopy on a low-end PC

Wegenkittl,; Vilanova, X; Hegedust,; Wagner, Stefan; Freund,; Groller,

doi:10.1109/visual.2000.885732

Cited by 10 publications

(9 citation statements)

References 10 publications

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“…Research on virtual endoscopy is one of the most active areas in virtual medicine. The various developed methods of virtual endoscopy have been applied to colonoscopy [51,[31][32][33] (and other parts of the small and large intestines), bronchoscopy [34][35][36][37][38][39][40], ventriculoscopy [40][41][42] and angioscopy [44-48. ] Other applications also include the ear/nose cavities [49,50].…”

Section: Overview On Virtual Endoscopy Systemsmentioning

confidence: 99%

“…A variation of this rendering approach was presented by Wegenkittl et al [38]. Here, the image generation is based on a cubic map of the volume rendered images of six viewing directions represented by the directions of the viewpoints along the camera path.…”

Section: Viren-technical University Of Viennamentioning

confidence: 99%

“…Similar solutions are provided by the Syngo platform of Siemens Medical Solutions (SMS) (Virtuoso was the previous 2D‐texture‐mapping‐based solution) and by the EasyVision Endo3D option of Philips Medical Systems [24,50] (PMS) with similar performance of a few frames per second and varying image quality. Another variation was presented by Wegenkittl et al [38], where six offline generated volume rendered movies were combined into a cubic map to provide interactive rendering speed on low‐end PCs similar to Chen's QuicktimeVR [61]. Fast high‐quality direct volume rendering has been implemented for Tiani's J‐Vision and Viatronix V3D Viewer.…”

Section: Overview On Virtual Endoscopy Systemsmentioning

confidence: 99%

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Virtual Endoscopy in Research and Clinical Practice

Bartz

2005

Computer Graphics Forum

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Virtual endoscopy is among the most active topics in virtual medicine and medical imaging. It focuses on the virtual representation of minimally invasive procedures for training, planning and diagnosis without an actual invasive intervention. In the past few years, virtual endoscopy modes have been transferred from research systems in virtually every commercial medical imaging software, but with varying quality and flexibility. This report covers concepts used in current systems in research and products, and how they might be applied to daily practice in health care. Specifically, I will start with an introduction into virtual endoscopy and the related medical field. This will also include typical scenarios of virtual endoscopy applications as they appear in clinical practice. This part will be followed by a discussion of the technical issues of virtual endoscopy and how they are addressed in currently available systems. Among these issues are navigation through the respective body organ and the orientation aids for the users. In addition, I will highlight the different rendering techniques used and its impact on rendering speed and quality.

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Section: Overview On Virtual Endoscopy Systemsmentioning

confidence: 99%

Section: Viren-technical University Of Viennamentioning

confidence: 99%

Section: Overview On Virtual Endoscopy Systemsmentioning

confidence: 99%

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Virtual Endoscopy in Research and Clinical Practice

Bartz

2005

Computer Graphics Forum

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“…Virtual endoscopy can create high-quality 3-D renderings for surgical planning and evaluation, but it does not show fine detail as clearly as endoscopy [3]. Researchers have also tried to recover shape of GI tract using specially designed equipment [4], these techniques need hardware updates and the equipment may possibly interfere with the clinician's vision.…”

Section: Introductionmentioning

confidence: 99%

3-D shape recovery of luminal wall from WCE image

Zhang

Liu

et al. 2012

2012 IEEE International Conference on Automation and Logistics

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The Wireless capsule endoscopy (WCE) is a state-of-the-art imaging technique used to view the entire gastrointestinal (GI) tract. With this technique, the clinicians can detect diseases such as obscure gastrointestinal bleeding, polyp, Crohn's and celiac disease. However, like other endoscopes, the WCE provides only 2-D images. The real anatomical structure of the observed lesion is unavailable and can only be judged by the clinician's imagination. In this paper, we use shape from shading (SFS) technique to generate 3-D structures from 2-D endoscopic images. For the three assumptions of the SFS technique, we propose a preprocessing method for endoscopic image. Experiments with real WCE data demonstrate good 3-D shape recovery performance. Smooth and visually scene can be created based on the pre-processed endoscopic image, while preserving the structure of the observed objects without any hardware upgrades. The 3-D shape enhances the video and therefore improves the viewing of the gastrointestinal (GI) tract leading to a more accurate diagnosis.Index Terms-Wireless capsule endoscopy, shape recovery, shape from shading.

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“…Virtual colonoscopy (VC) [Hong et al 1997;Wegenkittl et al 2000] is a non-invasive computerized medical diagnostic method for examining the interior of the human colon from Computer Tomography (CT) data, that is primarily aimed at the detection of polyps on the colon surface.…”

Section: Introductionmentioning

confidence: 99%

Shape based computer aided diagnosis and automated navigation in virtual colonoscopy

Koloszár

Szirmay‐Kalos

Tarján

et al. 2006

Proceedings of the 22nd Spring Conference on Computer Graphics

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This paper proposes a robust algorithm to detect colon polyps and cancerous lesions in virtual colonoscopy and present them to the user by automatically guiding the virtual camera. The detection algorithm uses Gaussian filters to construct the Hessian matrix, which represents the second order derivatives of a vector variate scalar valued function. Based on the sign and scale of the eigenvalues of the Hessian matrix, blob like lesions can be selected on a given scale. In the visualization stage the camera is moved along the colon centerline with its speed and viewing direction adopted to the results of detection. The camera path and the viewing direction are described by Kochanek-Bartels splines. The velocity along the path is also governed by a C 2 continuous function. The resulting fly through is smooth and physically plausible, and it is guaranteed that the user can see all regions of interest and spends sufficient time looking at each of them.

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Mastering interactive virtual bronchioscopy on a low-end PC

Cited by 10 publications

References 10 publications

Virtual Endoscopy in Research and Clinical Practice

Virtual Endoscopy in Research and Clinical Practice

3-D shape recovery of luminal wall from WCE image

Shape based computer aided diagnosis and automated navigation in virtual colonoscopy

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