Virtual Endoscopy in Research and Clinical Practice

Bartz, Dirk

doi:10.1111/j.1467-8659.2005.00831.x

Cited by 52 publications

(26 citation statements)

References 76 publications

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“…However, the direct application of surface rendering algorithms (i.e., Marching Cubes) to the segmented vasculatures may suffer from the typical diamond shaped artifacts [see Fig. 16 (right)] caused by the trilinear interpolation [42]. Therefore, the smooth and accurate reconstruction of vascular tree is very crucial for virtual angioscopy.…”

Section: E Virtual Angioscopymentioning

confidence: 99%

“…Various virtual angioscopy techniques can be roughly classi ed into three classes: automatic navigation, manual or free navigation and guided navigation [43]. The drawback of automatic navigation is the lack of interactivity, which means that user interaction is limited and the irrelevant regions cannot be easily skipped [42]. By manual navigation, user can completely control over all parameters of the virtual camera without any constraints.…”

Section: E Virtual Angioscopymentioning

confidence: 99%

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Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines

Hong

Tian

2012

IEEE Trans. Med. Imaging

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Abstract-Vasculature geometry reconstruction from volumetric medical data is a crucial task in the development of computer guided minimally invasive vascular surgery systems. In this paper, a technique for reconstructing the geometry of vasculatures using bivariate implicit splines is developed. With the proposed technique, an implicit geometry representation of the vascular tree can be accurately constructed based on the voxels extracted directly from the surface of a certain vascular structure in a given volumetric medical dataset. Experimental results show that the geometric representation built using our method can faithfully represent the morphology and topology of vascular structures. In addition, both the qualitative and the quantitative validations have been performed to show that the reconstructed vessel geometry is of high accuracy and smoothness. An virtual angioscopy system has been implemented to indicate one of the strengths of our proposed method.

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Section: E Virtual Angioscopymentioning

confidence: 99%

Section: E Virtual Angioscopymentioning

confidence: 99%

Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines

Hong

Tian

2012

IEEE Trans. Med. Imaging

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“…Virtual bronchoscopy [1] CT-guided approach represents a modern solution to the difficult problem of bronchoscope positioning during medical procedure of transbronchial needle-aspiration biopsy. It makes use of real-time registration of real 2D images (coming from an endoscope) and virtual ones (obtained from virtual camera looking inside a 3D model of bronchial tree, reconstructed from CT patient data by means of segmentation).…”

Section: Introductionmentioning

confidence: 99%

Computational Tasks in Bronchoscope Navigation During Computer-Assisted Transbronchial Biopsy

Bułat

Duda

Socha

et al. 2008

Computational Science – ICCS 2008

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Abstract. The paper presents algorithmic solutions dedicated to computer navigation system which is to assist bronchoscope positioning during transbronchial needle-aspiration biopsy. The navigation exploits principle of on-line registration of real images coming from endoscope camera and virtual ones generated on the base of computed-tomography (CT) data of a patient. When these images are similar an assumption is made that the bronchoscope and virtual camera have approximately the same position and view direction. In the paper the following computational aspects are described: correction of camera lens distortion, fast approximate estimation of endoscope ego-motion, reconstruction of bronchial tree from CT data by means of their segmentation and its centerline calculation, virtual views generation, registration of real and virtual images via maximization of their mutual information and, finally, efficient parallel and network implementation of the navigation system which is under development.

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“…Virtual colonoscopy is a patient-friendly technique that enables effective screening of the large intestines for colorectal polyps, which are well-known precursors of colon cancer. 1,2 The interior colon wall is extracted from the patient data set, usually CT scans, and then rendered to allow for visual inspection by a radiologist. Due to the complexity of the colon wall, a thorough examination of the entire colon is very time consuming.…”

Section: Introductionmentioning

confidence: 99%

Efficient seeding and defragmentation of curvature streamlines for colonic polyp detection

et al. 2008

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Many computer aided diagnosis (CAD) schemes have been developed for colon cancer detection using Virtual Colonoscopy (VC). In earlier work, we developed an automatic polyp detection method integrating flow visualization techniques, that forms part of the CAD functionality of an existing Virtual Colonoscopy pipeline. Curvature streamlines were used to characterize polyp surface shape. Features derived from curvature streamlines correlated highly with true polyp detections. During testing with a large number of patient data sets, we found that the correlation between streamline features and true polyps could be affected by noise and our streamline generation technique. The seeding and spacing constraints and CT noise could lead to streamline fragmentation, which reduced the discriminating power of our streamline features.In this paper, we present two major improvements of our curvature streamline generation. First, we adapted our streamline seeding strategy to the local surface properties and made the streamline generation faster. It generates a significantly smaller number of seeds but still results in a comparable and suitable streamline distribution. Second, based on our observation that longer streamlines are better surface shape descriptors, we improved our streamline tracing algorithm to produce longer streamlines. Our improved techniques are more efficient and also guide the streamline geometry to correspond better to colonic surface shape. These two adaptations support a robust and high correlation between our streamline features and true positive detections and lead to better polyp detection results.

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Virtual Endoscopy in Research and Clinical Practice

Cited by 52 publications

References 76 publications

Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines

Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines

Computational Tasks in Bronchoscope Navigation During Computer-Assisted Transbronchial Biopsy

Efficient seeding and defragmentation of curvature streamlines for colonic polyp detection

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