Journal
JOURNAL OF DIGITAL IMAGING
Volume 24, Issue 4, Pages 640-664Publisher
SPRINGER
DOI: 10.1007/s10278-010-9321-6
Keywords
Visualization; medical imaging; image processing; volume rendering; raycasting; splatting; shear-warp; shell rendering; texture mapping; Fourier transformation; shading; transfer function; classification; graphics processing unit (GPU)
Funding
- Canadian Institutes for Health Research [MOP 74626]
- National Science and Engineering Research Council of Canada [R314GA01]
- Ontario Research and Development Challenge Fund
- Canadian Foundation for Innovation
- Ontario Innovation Trust
- Ontario Ministry of Education
- University of Western Ontario
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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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