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Real-time Web-based Interactive 3D Visualization of Cadaveric CT Imaging for Radiologic Anatomy Correlation in Human Anatomy Education

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Bartholmai, B.J., Pawlina, W., Carmichael, S.W., Barlow, J.M., Hennen, R. & Warnke, E. (2006). Real-time Web-based Interactive 3D Visualization of Cadaveric CT Imaging for Radiologic Anatomy Correlation in Human Anatomy Education. In T. Reeves & S. Yamashita (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2006 (pp. 1040-1045). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/23843.

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Conference Information

ELEARN

World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2006
Honolulu, Hawaii, USA
October 2006
ISBN 1-880094-60-6
  Thomas Reeves & Shirley Yamashita
AACE

More Information on ELEARN

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Authors

Brian J. Bartholmai, Mayo Clinic, United States; Wojciech Pawlina, Stephen W. Carmichael, Mayo Clinic College of Medicine, United States; John M. Barlow, Mayo Clinic, United States; Ryan Hennen, Eric Warnke, Vital Images, Inc., United States

Abstract

The first-year medical curriculum at the Mayo Clinic College of Medicine includes a 6-week long block of gross and Radiologic anatomy. Prior to students' dissection, each cadaver was scanned with a high resolution CT scanner. During various didactic activities and at each dissection table interactive volumetric color 3D renderings and multi-planar reconstructions of these cadavers as well as de-identified reference datasets from normal clinical studies are available. These images are streamed to laptops in the anatomy laboratory through web-based software from a central rendering server (ViTALConnect R, Vital Images, Inc.). The combined anatomy/radiology curriculum with the addition of image renderings allows for better integration of specific structures encountered during dissection with their images as they would be seen in a living patient. The exposure of medical students to modern clinical imaging techniques allows for better integration of anatomy and pathology apparent on clinical radiology studies utilized for patient care.

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