Project Title:
Virtual Anatomy and Dexterous Simulators for
Minimal Access Cardiothoracic and
Neuro-endoscopic Surgeries
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PI ¡V Prof. Pheng Ann Heng |
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Abstract: Building upon
our recent advanced research development in virtual reality, visualization,
imaging and biosensors research, together with our world-class medical
expertise and our strong partnership in the Chinese Visible Human Project,
this research team has the unique combined strength and adequate imaging
resource to develop next generation highly interactive and realistic virtual
environments for medical education and surgical training. The latest CVH male
dataset is about 1143 GB in size. There are in total 18,200 cross-section
digital images (4064x2704 pixel resolution, 48 bits color) at 0.1mm
intervals; extremely fine anatomical details can be observed. We would like
to explore new possibilities for using such ultra-high resolution data in
multiple directions for medical research, education, surgical training and
simulation. In the project, our long-term key objectives
include: 1.
Through
original research, innovative application and intelligent integration of new
advances in computing and engineering to develop state-of-the-art virtual
anatomy and surgical simulators. 2.
To
advance the frontier of medical visualization, biomedical computing and
digital human research. 3.
To
promote VR-based medical education and surgical training in The following major deliverables are expected in this proposed research: 1.
Highly
interactive, multi-sensory virtual environments that support in-depth
learning of virtual and functional anatomy, focusing on cardiac and neuro anatomy. 2.
Virtual
reality based dexterous simulator for minimal access cardiothoracic surgery 3.
Virtual
reality based dexterous simulator for neuro-endoscopic
surgery |
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Images:
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Demo Videos:
1. Slicing of cerebrum. 2. Layered display. 3. Pseudo-coloring of basal
ganglia. 4. Hollow cerebral display. |
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Publications: "Intelligent
Inferencing and Haptic Simulation for Chinese
Acupuncture Learning and Training", "LV Shape
and Motion: B-Spline Based Deformable Model and Sequential Motion
Decomposition", "Shape
Statistics Variational Approach for the Outer
Contour Segmentation of Left Ventricle MR Images", ¡§Boundary
enhancement and speckle removal for medical ultrasound images via salient
structures extraction¡¨, J. Xie, Y. Jiang, H. T. Tsui and
P. A. Heng, accepted by IEEE
Transactions on Biomedical Engineering "Virtual Reality
Techniques - Application to Anatomic Visualization and Orthopaedics
Training", Clinical Orthopaedics and Related Research,
No.442, 2006, pp.5-12. "Photorealistic
Virtual Anatomy Based on Chinese Visible Human Data", "A Haptic
Needle Manipulation Simulator for Chinese Acupuncture Learning and Training",
¡§Deploying
Chinese Visible Human Data on Anatoical
Exploration: From Western Medicine to Chinese Acupuncture¡¨, P. A. Heng, S. X. Zhang, Y. M. Xie, T.
T. Wong, Y. P. Chui, and C. Y. Cheng, Complex Medical
Engineering, edited by J. L. Wu, K. Ito, S. Tobimatsu,
T. Nichida and H. Fukuyama, Springer Publisher, to
appear. ¡§Image
Segmentation with Level Set Method¡¨, Y. Qu, P. A. Heng, and T. T. Wong, Parametric and
Geometric Deformable Models: An application in Biomaterials and Medical
Imagery, Volume-II,
Springer Publishers, edited by Jasjit S. Suri and Aly Farag, to release in May 2006. "Virtual
Acupuncture Human based on Chinese Visible Human Dataset", "Semi-automatic
Segmentation and Tracking of CVH Data", ¡§Shape Modeling Using Automatic Landmarking,¡¨
J. Xie
and P. A. Heng, In Proceedings of the Medical Image Computing and Computer-Assisted
Intervention (MICCAI 2005), |
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Content ©2003 Virtual Reality, Visualization and
Imaging Research Centre, The Chinese University of
All rights reserved. Reproduction In
Whole or In Part without express permission is prohibited.