Scholars@Duke

Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering

Publication ,  Journal Article
Shahidi, R; Argiro, V; Nape, S; Gray, L; McAdams, HP; Rubin, GD; Beaulieu, CF; Jeffrey, RB; Johnson, A
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 1996
Published version (DOI)

Advanced medical imaging techniques available today, such as CT, MRI, and PET, are capable of producing large quantities of near isotropically-sampled data. These datasets coupled with advanced techniques in Computer graphics can create new ways to explore cross-sectional medical images. We hypothesize that 3-D renderings of the imaging data may provide enhanced diagnostic interpretation and superior visualization for treatment planning purposes. We have investigated the application of Perspective Volume Rendering (PVR) as a method to facilitate interactive exploration of various tubular structures. In this paper we will explore the results from four noninvasive applications of PVR: 1) detection and studies of aneurysms in the circle of Willis, 2) studies of thoracic aorta aneurysms, 3) assessment of bronchial anastomoses and 4) detection of polyps in colonic lumen.

Duke Scholars

Holman Page McAdams
Author Holman Page McAdams Radiology, Cardiothoracic Imaging
Geoffrey D Rubin
Author Geoffrey D Rubin Radiology

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/bfb0046993

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1996

Volume

1131

Start / End Page

521 / 528

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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ICMJE
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Shahidi, R., Argiro, V., Nape, S., Gray, L., McAdams, H. P., Rubin, G. D., … Johnson, A. (1996). Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1131, 521–528. https://doi.org/10.1007/bfb0046993
Shahidi, R., V. Argiro, S. Nape, L. Gray, H. P. McAdams, G. D. Rubin, C. F. Beaulieu, R. B. Jeffrey, and A. Johnson. “Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1131 (January 1, 1996): 521–28. https://doi.org/10.1007/bfb0046993.
Shahidi R, Argiro V, Nape S, Gray L, McAdams HP, Rubin GD, et al. Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1996 Jan 1;1131:521–8.
Shahidi, R., et al. “Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1131, Jan. 1996, pp. 521–28. Scopus, doi:10.1007/bfb0046993.
Shahidi R, Argiro V, Nape S, Gray L, McAdams HP, Rubin GD, Beaulieu CF, Jeffrey RB, Johnson A. Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1996 Jan 1;1131:521–528.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/bfb0046993

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1996

Volume

1131

Start / End Page

521 / 528

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences