TY - GEN
T1 - Advancements in immersive VR as a tool for preoperative planning for laparoscopic surgery
AU - Mastrangelo, Michael J.
AU - Stich, Jeremy
AU - Hoskins, James D.
AU - Witzke, Wayne
AU - George, Ivan
AU - Garrison, Jason
AU - Nichols, Mathew
AU - Park, Adrian E.
PY - 2002/1/1
Y1 - 2002/1/1
N2 - The utility of three-dimensional (3D) models for planning laparoscopic surgery and surgical training has been demonstrated. (1) Computed tomography (CT) scans with oral and intravenous contrast medium are frequently used for preoperative evaluation of patients undergoing complex laparoscopic surgery. Immersive 3D VR overcomes many of the conceptual limitations encountered when conveying or teaching 3D relationships via 2D images traditionally produced by these scans. Over the past year we have made advancements in several areas. First, we have improved the quality of our datasets by utilizing higher resolution multi-detector scans and altering the protocols used. Second, we now register multiple isosurface views with standard axial views and volume textured views to provide additional information and perspective. Third, we now routinely use auto-segmentation techniques to visualize individual structures.
AB - The utility of three-dimensional (3D) models for planning laparoscopic surgery and surgical training has been demonstrated. (1) Computed tomography (CT) scans with oral and intravenous contrast medium are frequently used for preoperative evaluation of patients undergoing complex laparoscopic surgery. Immersive 3D VR overcomes many of the conceptual limitations encountered when conveying or teaching 3D relationships via 2D images traditionally produced by these scans. Over the past year we have made advancements in several areas. First, we have improved the quality of our datasets by utilizing higher resolution multi-detector scans and altering the protocols used. Second, we now register multiple isosurface views with standard axial views and volume textured views to provide additional information and perspective. Third, we now routinely use auto-segmentation techniques to visualize individual structures.
UR - http://www.scopus.com/inward/record.url?scp=6944225481&partnerID=8YFLogxK
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U2 - 10.3233/978-1-60750-929-5-274
DO - 10.3233/978-1-60750-929-5-274
M3 - Conference contribution
C2 - 15458101
AN - SCOPUS:6944225481
SN - 1586032038
SN - 9781586032036
T3 - Studies in Health Technology and Informatics
SP - 274
EP - 279
BT - Medicine Meets Virtual Reality 02/10 - Digital Upgrades
PB - IOS Press
T2 - 10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002
Y2 - 23 January 2002 through 26 January 2002
ER -