Digital Reconstruction Methods For Three-Dimensional Image Visualization

Jaffey, S. M.; Dutta, Kalyan; Hesselink, Lambertus

doi:10.1117/12.944950

Cited by 14 publications

(12 citation statements)

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“…Active-attenuation model treats each voxel in volume data field as a particle light source, and distributes source intensity and an attenuation coefficient [38] . After attenuation along a distance in data field, the light generated is projected to the visual plane to form resulting image.…”

Section: Scene Appearance Modeling Methodsmentioning

confidence: 99%

A survey on virtual reality

Zhao

2009

Sci. China Ser. F-Inf. Sci.

109

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Virtual reality (VR) is a scientific method and technology created during the exploration of the nature by human beings to understand, simulate, and better adapt and use the nature. Based on the analysis on the whole process of VR, this paper presents different categories of VR problems and a type of theoretical expression, and abstracts three kinds of scientific and technical problems in VR field. On the basis of foresaid content, this paper also studies current major research objectives, research results and development trend of VR in the aspects of VR modeling method, VR representation technology, human-machine interaction and devices, VR development suites and supporting infrastructure, as well as VR applications. Finally, several theoretical and technical problems that need to be further studied and solved are addressed.virtual reality, modeling, rendering, human-machine interaction, development suite Based on computer science and relevant scientific technologies, virtual reality (VR) produces a digital environment in which visual perception, sense of hearing, and sense of touch are highly similar to those of actual environment within a certain range. With the help of necessary equipment to interact and interfere with objects in a digital environment, users may have feelings and experiences corresponding to those in the actual environment. VR is a scientific technology for understanding or simulating the nature.With the constant development of social productivity and scientific technologies, the VR technology has found more and more applications in various industries. Now VR has become a new science field. This paper presents an overview of the developing process of VR. First we introduce the thoughts and the related research direction of VR, then we discuss the major contents and current situation of VR research in the aspects of VR modeling, VR representation technology, humanmachine interaction and equipment, VR development suite and supporting environment, as well as VR applications, and indicate several problems of the theory and technology.

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Section: Scene Appearance Modeling Methodsmentioning

confidence: 99%

A survey on virtual reality

Zhao

2009

Sci. China Ser. F-Inf. Sci.

109

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“…Each voxel is assigned a source strength I and a characteristic attenuation coefficient cr. The intensity 10 of each pixel in the projection image can then be computed as a lineintegral along the ray through the viewpoint and the pixel and passing through the data set as: Jrn J t IO = I(t) exd-W&W (10) 0 0 with t the coordinate along the ray, set at zero for the image plane and positive in the direction away from the viewpoint [12,13]. This integral can be calculated by a finite-difference approximation in which the exponential attenuation factor exp[-si cT(p)dp] is approximated by its first order Taylor expansion term 1 -C o(p) with cu('p) the opucity of the voxel at position p. This approximation is at the basis of the image cornpositing equations as defined by Porter [20], that is, when traversing the ray in discrete steps in a frontto-back (from the viewpoint away) order, we build up the integral value as:…”

Section: Renderingmentioning

confidence: 99%

Integrated visualization of brain anatomy and cerebral blood vessels

Vandermeulen¹,

Plets²,

Ramkers³

et al. 1992

Proceedings of the 1992 Workshop on Volume Visualization - VVS '92

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In this presentation, we discuss methods for an integrated display of cerebral blood vessels and brain structures using 3-D CT, MRI and MR Angiography images. We present methods for a three-dimensional semi-automatic delineation of brain structures in tomographic image sequences. Non-linear morphologic filters are applied to the MRA images to selectively enhance the blood vessel signal while suppressing the surrounding tissue. The geometric registration between the different cross-sectional imaging modalities is performed by the use of stereotactic frames, by matching of interactively indicated anatomical markers and by matching of corresponding anatomical surfaces. An integrated visualization of blood vessels and brain structures is obtained by a hybrid volume rendering method combining a maximum intensity projection with a transparent gray level gradient method.

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“…The procedure described here creates distortions fo r objects large compared with the enclosed volume of the cylindrical hologram and fo r large viewing angles; these distortions can be compensated fo r by properly modifying the data base before calculating the projections (Jaffey et al 1984).…”

Section: Surface Rendition Of Three-dimensional Scalar Feldsmentioning

confidence: 99%