Surface models of tube trees

Felkel,; Wegenkittl,; Bühler,

doi:10.1109/cgi.2004.1309194

Cited by 31 publications

(30 citation statements)

References 13 publications

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“…To enhance the perception of vessel structures, researchers often approximate the vessel surface using model-based or model-free surface rendering approaches. The model-based surface rendering approach utilizes the information of centerline and radius, and approximates the vessel surface using models, such as truncated cones [5], B-splines [6], subdivision surfaces [7], or convolution surfaces [8]. The model-free surface rendering approach extracts the isosurface using algorithms such as marching cubes [9] based on a given threshold.…”

Section: Related Workmentioning

confidence: 99%

VesselMap: A web interface to explore multivariate vascular data

Tao

Huang

Qiu

et al. 2016

Computers & Graphics

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a b s t r a c tHemodynamics plays a key role in the pathological evolution of vascular diseases such as vascular stenosis, plaques and aneurysms. Augmented visualization of relevant hemodynamic and geometric data accelerates engineering designs of diagnostic and therapeutic methods for those vascular diseases. However, four dimensional (4D) hemodynamic data are intrinsically complex. Consequently, exploration of this information has not been streamlined, despite its importance. In this paper, we propose a web interface to explore multivariate hemodynamic data, thereby facilitating the visualization of spatial and temporal relationships among those hemodynamic parameters of interest. The main thrust of this web system is the proposed VesselMap methodology, a 2D representation of vessel structures that provides an overview of all query results without any visual occlusions. Furthermore, in this framework, quantilequantile plot was also used to compare spatial variations in parameter distributions, thereby greatly aiding in extracting local characteristics of hemodynamic parameters.Using "patient-specific" computational fluid dynamics (CFD) simulations, realistic flow velocity fields were obtained. Based on those CFD-simulated velocity fields, we performed an empirical evaluation to confirm the usefulness of our approach for biomedical engineering applications. We concluded that the proposed VesselMap methodology allowed users to rapidly interact with hemodynamic data of interest, enhancing efficacy of information retrieval.

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Section: Related Workmentioning

confidence: 99%

VesselMap: A web interface to explore multivariate vascular data

Tao

Huang

Qiu

et al. 2016

Computers & Graphics

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“…Felkel et al [14], [15] and Ou et al [16] applied subdivision surfaces. Felkel's algorithm is fast and simple but not artifact-free and Ou's algorithm is general but not robust for all scenarios.…”

Section: Related Workmentioning

confidence: 99%

Fully-automatic Branching Reconstruction Algorithm: Application to Vascular Trees

Hijazi

Bechmann

Cazier

et al. 2010

2010 Shape Modeling International Conference

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Reconstructing tubular structures with highorder branching is a difficult task to perform automatically. Medical applications in particular demand accurate models of such objects that fulfill specific topological and geometric criteria. Indeed, the reconstructed object should be a 2-manifold surface with compact, adaptive geometry. We present a generic algorithm for automatically reconstructing n-furcated tubular surfaces. Our approach relies on a strong underlying topological structure and a novel n-furcation reconstruction algorithm using convex entities.

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“…Hohne et al have proposed to use B-spline surfaces to approximate small vascular structures and nerves [23]. Felkel et al have proposed a method based on the subdivision of an initial coarse base mesh [24]. Bornik et al have employed simplex meshes for the high-quality visualization of vascular structures [25].…”

Section: Related Workmentioning

confidence: 99%

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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Surface models of tube trees

Cited by 31 publications

References 13 publications

VesselMap: A web interface to explore multivariate vascular data

VesselMap: A web interface to explore multivariate vascular data

Fully-automatic Branching Reconstruction Algorithm: Application to Vascular Trees

Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines

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