Mucosal detail at CT virtual reality: Surface versus volume rendering

Kenneth D. Hopper, A. Tunç Iyriboz, Scott W. Wise, Joel D. Neuman, David T. Mauger, Claudia J. Kasales

Research output: Contribution to journalArticle

68 Scopus citations

Abstract

PURPOSE: To evaluate computed tomographic virtual reality with volumetric versus surface rendering. MATERIALS AND METHODS: Virtual reality images were reconstructed for 27 normal or pathologic colonic, gastric, or bronchial structures in four ways: the transition zone (a) reconstructed separately from the wall by using volume rendering; (b) with attenuation equal to air; (c) with attenuation equal to wall (soft tissue); (d) with attenuation halfway between air and wall. The four reconstructed images were randomized. Four experienced imagers blinded to the reconstruction graded them from best to worst with predetermined criteria. RESULTS: All readers rated images with the transition zone as a separate structure as overwhelmingly superior (P < .001): Nineteen cases had complete concurrence among all readers. The best of the surface-rendering reconstructions had the transition zone attenuation equal to the wall attenuation (P < .001). The third best reconstruction had the transition zone attenuation equal to the air attenuation, and the worst had the transition zone attenuation halfway between the air and wall attenuation. CONCLUSION: Virtual reality is best with volume rendering, with the transition zone (mucosa) between the wall and air reconstructed as a separate structure.

Original languageEnglish (US)
Pages (from-to)517-522
Number of pages6
JournalRadiology
Volume214
Issue number2
DOIs
Publication statusPublished - Feb 2000

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All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Hopper, K. D., Tunç Iyriboz, A., Wise, S. W., Neuman, J. D., Mauger, D. T., & Kasales, C. J. (2000). Mucosal detail at CT virtual reality: Surface versus volume rendering. Radiology, 214(2), 517-522. https://doi.org/10.1148/radiology.214.2.r00fe34517