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Medical Image Volumetric Visualization: Algorithms, Pipelines, and Surgical Applications

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Medical Image Processing

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

Abstract

With the increasing availability of high-resolution datasets of 3D medical images, the development of volumetric image rendering techniques have become an important complement to classical surface-based rendering. Since volumetric visualization does not require that surfaces be selected from within the 3D volumes, the full volume dataset is maintained during the rendering process. These methods are based on a foundation of projecting rays through volumes, which have a range of opacity attributes, onto a viewing window. Volume rendering is computationally demanding, and the ever increasing size of medical image datasets means that brute-force algorithms are not feasible for interactive use.

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Acknowledgments

The authors thank the following people for allowing us to use their images as sample images: Marjo Götte, Novartis Institutes for BioMedical Research; Dr. Myles Fennell, Wyeth Research, Princeton, NJ, USA; Dr. Xiaokui Zhang, Helicon Therapeutics, Inc., USA; Prof. Pat Doherty, Kings College, London, UK; Dr. Jenny Gunnersen, Prof. Seong-Seng Tan, and Dr. Ross O’Shea Howard Florey Institute, Melbourne; Prof. Cynthia Whitchurch, UTS, Sydney.

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  1. The University of Western Ontario, London, ON, Canada

    Roy Eagleson

  2. Robarts Research Institute, University of Western Ontario, London, ON, Canada

    Qi Zhang & Terry M. Peters

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    Geoff Dougherty

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Zhang, Q., Peters, T.M., Eagleson, R. (2011). Medical Image Volumetric Visualization: Algorithms, Pipelines, and Surgical Applications. In: Dougherty, G. (eds) Medical Image Processing. Biological and Medical Physics, Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9779-1_13

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