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Volume Visualization: A Technical Overview with a Focus on Medical Applications

Qi Zhang, Roy Eagleson, Terry Peters
Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, ON, N6A 5K8, Canada
Journal of Digital Imaging (17 August 2010), pp. 1-25-25.

@article{zhangvolume,

   title={Volume Visualization: A Technical Overview with a Focus on Medical Applications},

   author={Zhang, Q. and Eagleson, R. and Peters, T.M.},

   journal={Journal of Digital Imaging},

   pages={1–25},

   issn={0897-1889},

   publisher={Springer}

}

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With the increasing availability of high-resolution isotropic three- or four-dimensional medical datasets from sources such as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency. Within the outlined literature review, we have integrated our research results relating to new visualization, classification, enhancement, and multimodal data dynamic rendering. Finally, we illustrate issues related to modern GPU working pipelines, and their applications in volume visualization domain.
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