A Practical Evaluation of Popular Volume Rendering Algorithms

Huang, Biao; Müeller,; Crawfis,; Bartz,; Meißner,

doi:10.1109/vv.2000.10009

Cited by 12 publications

(8 citation statements)

References 42 publications

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“…Although indirect volume rendering can be processed faster than direct volume rendering, the quality of its 3D rendering is lower because of the information loss during the conversion process. Thus, in this paper, we focus on direct volume rendering, in particular, ray-casting, which is a preferred technique to achieve high quality images [1].…”

Section: Introductionmentioning

confidence: 99%

High-quality web-based volume rendering in real-time

Wangkaoom

Ratanaworabhan

Thongvigitmanee

2015

2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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Three-dimension (3D) medical images on eHealth can facilitate early diagnosis and treatment planning for physicians and dentists anytime and anywhere. However, highresolution 3D medical images created from most medical imaging devices are difficult to render interactively with high-quality in real-time on the client side. This paper tackles this problem. It presents a web-based client-server framework that provides apparent processing of high-quality volume rendering in realtime on personal computers and tablets. The framework employs the following technique. While zooming and rotating the volume rendered image, the graphic card on a client-side processes lowquality volume rendering. At the same time, images for performing high-quality rendering are being processed and streamed in from the server. When the interaction stops, the server completes the streaming process and the client can now display high-quality volume rendering. This would help visualizing 3D medical images in real-time and high-quality on web for fast diagnosis and treatment planning. Keywords-Volume rendering; biomedical imaging; web-based application for medical imagingI.

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Section: Introductionmentioning

confidence: 99%

High-quality web-based volume rendering in real-time

Wangkaoom

Ratanaworabhan

Thongvigitmanee

2015

2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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“…Due to the difference in input data between traditional computer graphics (which rely on a large number of triangles to represent an object's surface) and volume rendering (which aims to render a large, dense set of points in 3D space) a fundamentally different approach to rendering is required for volumetric data. There are two categories of volume rendering defined in the literature: indirect volume rendering (IVR) and direct volume rendering (DVR) (Meissner et al, 2000). Indirect volume rendering is not a true rendering of the volume.…”

Section: Volume Visualizationmentioning

confidence: 99%

“…Secondly, if the user desires to change the surface definition, a computationally expensive recalculation is necessary, which reduces the interactivity of the application. Finally, isosurfaces do a poor job of describing surfaces which vary smoothly (Meissner et al, 2000).…”

Section: Isosurface Renderingmentioning

confidence: 99%

“…Such an algorithm is known as empty space leaping, and while it is not unique to splatting, it is easiest to implement in splatting algorithms. Due to this acceleration, splatting works best when there are a relatively few number of voxels of interest compared to the number of pixels in the rendered image (Meissner et al, 2000). The downside to this approach is that some modern acceleration approaches, such as early ray termination (which ends the computation of the volume rendering integral for a given pixel in the projection after it has exceeded a preset level of opacity), do not fit into the splatting framework.…”

Section: Splattingmentioning

confidence: 99%

“…Shear-warping is related to texture based rendering, and is recognized as one of the fastest rendering methods available (Meissner et al, 2000). Shear-warping was originally proposed by Lacroute and Levoy (1994) and operates on the theory that the 3D view transform can be broken into a 1D shear operation and a 2D warping operation (Hansen and Johnson, 2005).…”

Section: Shear-warpingmentioning

confidence: 99%

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Characterization of multiphase flows integrating X-ray imaging and virtual reality

Morgan¹

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Voxel position in the y-direction (-) J Height of a tomographic slice (-) k Voxel position in the z-direction (-) Kalman filter time index (-) l X-ray path length (cm) Left plane x-coordinate of viewing volume (-) m Second statistical moment (-) M Number of projections (-) Max Maximum possible pixel value (-) Min Minimum possible pixel value (-) n Number of voxels (-) Near plane z-coordinate of viewing volume (-) Bit depth of an individual channel of an image (-)

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A framework for fusion methods and rendering techniques of multimodal volume data

Ferre

Puig²,

Tost³

2004

Computer Animation & Virtual

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Many different direct volume rendering methods have been developed to visualize 3D scalar fields on uniform rectilinear grids. However, little work has been done on rendering simultaneously various properties of the same 3D region measured with different registration devices or at different instants of time. The demand for this type of visualization is rapidly increasing in scientific applications such as medicine in which the visual integration of multiple modalities allows a better comprehension of the anatomy and a perception of its relationships with activity. This paper presents different strategies of direct multimodal volume rendering (DMVR). It is restricted to voxel models with a known 3D rigid alignment transformation. The paper evaluates at which steps of the rendering pipeline the data fusion must be realized in order to accomplish the desired visual integration and to provide fast re-renders when some fusion parameters are modified. In addition, it analyses how existing monomodal visualization algorithms can be extended to multiple datasets and it compares their efficiency and their computational cost.

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A Practical Evaluation of Popular Volume Rendering Algorithms

Abstract: ABSTRACT

Cited by 12 publications

References 42 publications

High-quality web-based volume rendering in real-time

High-quality web-based volume rendering in real-time

Characterization of multiphase flows integrating X-ray imaging and virtual reality

A framework for fusion methods and rendering techniques of multimodal volume data

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