Zhuming Ai
University of Illinois at Chicago
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Publication
Featured researches published by Zhuming Ai.
Diseases of The Colon & Rectum | 2003
Howard D. Dobson; Russell K. Pearl; Charles P. Orsay; Mary Rasmussen; Ray Evenhouse; Zhuming Ai; Gregory Blew; Fred Dech; Marcia Edison; Jonathan C. Silverstein; Herand Abcarian
AbstractPURPOSE: A clear understanding of the intricate spatial relationships among the structures of the pelvic floor, rectum, and anal canal is essential for the treatment of numerous pathologic conditions. Virtual-reality technology allows improved visualization of three-dimensional structures over conventional media because it supports stereoscopic-vision, viewer-centered perspective, large angles of view, and interactivity. We describe a novel virtual reality-based model designed to teach anorectal and pelvic floor anatomy, pathology, and surgery. METHODS: A static physical model depicting the pelvic floor and anorectum was created and digitized at 1-mm intervals in a CT scanner. Multiple software programs were used along with endoscopic images to generate a realistic interactive computer model, which was designed to be viewed on a networked, interactive, virtual-reality display (CAVE® or ImmersaDesk®). A standard examination of ten basic anorectal and pelvic floor anatomy questions was administered to third-year (n = 6) and fourth-year (n = 7) surgical residents. A workshop using the Virtual Pelvic Floor Model was then given, and the standard examination was readministered so that it was possible to evaluate the effectiveness of the Digital Pelvic Floor Model as an educational instrument. RESULTS: Training on the Virtual Pelvic Floor Model produced substantial improvements in the overall average test scores for the two groups, with an overall increase of 41 percent (P = 0.001) and 21 percent (P = 0.0007) for third-year and fourth-year residents, respectively. Resident evaluations after the workshop also confirmed the effectiveness of understanding pelvic anatomy using the Virtual Pelvic Floor Model. CONCLUSION: This model provides an innovative interactive educational framework that allows educators to overcome some of the barriers to teaching surgical and endoscopic principles based on understanding highly complex three-dimensional anatomy. Using this collaborative, shared virtual-reality environment, teachers and students can interact from locations world-wide to manipulate the components of this model to achieve the educational goals of this project along with the potential for virtual surgery.
Applied Immunohistochemistry & Molecular Morphology | 2007
Amy Lin; Zhuming Ai; Sang-Chul Lee; Peter Bajcsy; Jacob Pe'er; Lu Leach; Andrew J. Maniotis; Robert Folberg
We previously described techniques to generate 3-dimensional reconstructions of the tumor microcirculation using immunofluorescence histochemistry and laser scanning confocal microscopy on serial sections from archival formalin-fixed, paraffin-embedded tissues. By aligning sequential z-stacks in an immersive visualization environment (ImmersaDesk), the need to insert fiduciary markers into tissue was eliminated. In this study, we developed methods to stitch overlapping confocal z-series together to extend the surface area of interest well beyond that captured by the confocal microscope objective and developed methods to quantify the distribution of markers of interest in 3 dimensions. These techniques were applied to the problem of comparing the surface area of nonendothelial cell-lined, laminin-rich looping vasculogenic mimicry (VM) patterns that are known to transmit fluid, with the surface area of endothelial cell-lined vessels in metastatic uveal melanoma to the liver in 3 dimensions. After labeling sections with antibodies to CD34 and laminin, the surface area of VM patterns to vessels was calculated by segmenting out structures that labeled with laminin but not with CD34 from those structures labeling with CD34, or CD34 and laminin. In metastatic uveal melanoma tissues featuring colocalization of high microvascular density [66.4 microvessels adjusted for 0.313 mm2 area (range 56.7 to 72.7)] and VM patterning, the surface area of VM patterns was 11.6-fold greater (range 10.8 to 14.1) than the surface provided by CD34-positive vessels. These methods may be extended to visualize and quantify molecular markers in 3 dimensions in a variety of pathologic entities from archival paraffin-embedded tissues.
Digital Human Modeling | 2008
Zhuming Ai; Raymond Evenhouse; Jason Leigh; Fady T. Charbel; Mary Rasmussen
The major goal of this research is to develop a networked collaborative surgical system for tele-immersive consultation, surgical pre-planning, implant design, post operative evaluation and education. Tele-immersion enables users in different locations to collaborate in a shared, virtual, or simulated environment as if they are in the same room. The process of implant design begins with CT data of the patient and the Personal Augmented Reality Immersive System (PARISTM). The implant is designed by medical professionals in tele-immersive collaboration. In the PARIS augmented reality system the users hands and the virtual images appear superimposed in the same volume so the user can see what he is doing. A haptic device supplies the sense of touch by applying forces to a stylus that the medical modeler uses to form the implant. After the virtual model of the implant is designed, the data is sent via network to a stereolithography rapid prototyping system that creates the physical implant model. After implant surgery, the patient undergoes a postoperative CT scan and results are evaluated and reviewed over the tele-immersive consultation system.
Investigative Ophthalmology & Visual Science | 2003
Xue Chen; Zhuming Ai; Mary Rasmussen; Peter Bajcsy; Loretta Auvil; Michael Welge; Lu Leach; Sumalee Vangveeravong; Andrew J. Maniotis; Robert Folberg
Investigative Ophthalmology & Visual Science | 2007
Robert Folberg; Lu Leach; Klara Valyi-Nagy; Amy Lin; Marsha A. Apushkin; Zhuming Ai; Vivian Barak; Dibyen Majumdar; Jacob Pe'er; Andrew J. Maniotis
Archives of Facial Plastic Surgery | 2004
A. John Vartanian; Joi Holcomb; Zhuming Ai; Mary Rasmussen; M. Eugene Tardy; J. Regan Thomas
Studies in health technology and informatics | 2000
Zhuming Ai; Fred Dech; Mary Rasmussen; Jonathan C. Silverstein
medicine meets virtual reality | 2007
Zhuming Ai; Ray Evenhouse; Jason Leigh; Fady T. Charbel; Mary Rasmussen
medicine meets virtual reality | 2006
Zhuming Ai; Ray Evenhouse; Jason Leigh; Fady T. Charbel; Mary Rasmussen
Studies in health technology and informatics | 2001
Fred Dech; Zhuming Ai; Jonathan C. Silverstein