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Most direct volume rendering produced today still employ one-dimensional (1D) transfer function. The 1D transfer function is very convenient, but their capability for extracting specific material boundaries is not entirely satisfactory. The two-dimensional (2D) transfer functions are known as a very effective way to extract specific material boundaries and convey subtle surface properties, though...
With the dawn of modern imaging technologies such as CT, MRI and PET, images play a role of ever increasing importance. Due to the high contrast between air and tissue, X-rays are the imaging modality of choice. Especially CT-scans are increasingly useful for diagnosis of disorders of the lung. Working with the acquired 3D CT data brings new difficulties as it is not trivial to display 3D data on...
The segmentation of the ascending aorta from multislice computed tomography (MSCT) volume data is one of the critical steps for the quantitative analysis coronary artery. In this paper, a fast and automatic iterative method is presented. The method locates the volume of interest (VOI) of the ascending aorta and detects the seed point automatically. Then an automatic iterative procedure is implemented...
The objective of this study is to utilize the protein VP1 of Enterovirus 71 from clinical specimens of children with hand-foot-and-mouth disease (HFMD) to prepare the polyclonal antibody (pAb), prevented the viral infection. RNA got out from the diachorema of the sufferer was amplified by RT-PCR and nested PCR. The viral capsid protein (VP1) cDNA was inserted into the vector PET32a(+), an expression...
Segmentation of pulmonary X-ray computed tomography image is the first step to detect nodule of lung. This paper presents a fully automatic method for segmenting lung from three-dimensional thorax. First, the large airway is removed from lung region by anisotropic diffusion to smooth edges and region- growth. Second, we use an optimal threshold to automatically choose a threshold value, get binary...
Segmentation of pulmonary X-ray computed tomography image is the first step to detect nodule of lung. This paper presents a fully automatic method for segmenting lung from three-dimensional thorax. First, the large airway is removed from lung region by anisotropic diffusion to smooth edges and region-growth. Second, we use an optimal threshold to automatically choose a threshold value, get binary...
Ontology definition metamodel (ODM) is the currently undergoing standardization through the object management group (OMG). It is a metamodel defined using meta-object facility (MOF), and enables using model driven architecture (MDA) standards and semantic Web together. In this modeling language (UML) models, we first derive a mapping for MOF to World Wide Web Consortium (W3C) 's Web ontology language...
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