University of Texas at Dallas
800 W. Campbell Rd., AD15
GRAPHICS & VISUALIZATION,
Program Reference Code(s):
1045, 7453, 9251
Program Element Code(s):
With the popularity of real-time 3D/4D data capturing capabilities, there is an emerging need to compute the deformable models over the networks. Traditional model-driven deformable models have their bottlenecks since the spatial information for large-scale datasets cannot be efficiently solved and adaptively minimized over different network conditions. This project centers on the concept of spectrum-driven deformable models. Analogous to Fourier analysis being applied to image processing, the spectral deformable models employ manifold harmonics to efficiently and effectively perform segmentation, registration, physics-based simulation, compression, and streaming of 3D deformable surfaces and volumes.
In this project, manifold harmonics are used to transform arbitrary scanned datasets into a reduced diffusion subspace, in which real-time segmentation, registration, and physics-based simulation can be performed. Besides the stretching deformations, the rotational and tensor fields are encoded with manifold harmonics, which provides a "spectral multiresolution" structure to compress and stream deformable models over different network conditions.
The PI works with the medical imaging experts at UT Southwestern Medical Center, to build a tele-diagnosis system for evaluating each component in the spectral deformable models. The test-bed on tele-medicine has impacts on the next-generation diagnosis and treatment services, as well as on clinical education. The theoretical and technical breakthrough can benefit our society at large, from tele-immersion, remote sensing, to speech training, through the PI?s further outreach activities. The research and education are integrated by taking research advances into existing and future courses; developing the visualization software for education; and attracting more undergraduate students into research.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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Yang, Yin; Xu, Weiwei; Guo, Xiaohu; Zhou, Kun; Guo, Baining. "Boundary-Aware Multi-Domain Subspace Deformation," IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.19, 2013, p. 1633.
Yang, Yin; Guo, Xiaohu; Vick, Jennell; Torres, Luis G.; Campbell, Thomas F.. "Physics-Based Deformable Tongue Visualization," IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.19, 2013, p. 811.
Tang, Ziying; Yang, Yin; Guo, Xiaohu; Prabhakaran, Balakrishnan. "Distributed Haptic Interactions with Physically Based 3D Deformable Models over Lossy Networks," IEEE TRANSACTIONS ON HAPTICS, v.6, 2013, p. 417.
Yang, Yin; Zhong, Zichun; Guo, Xiaohu; Wang, Jing; Anderson, John; Solberg, Timothy; Mao, Weihua. "A Novel Markerless Technique to Evaluate Daily Lung Tumor Motion Based on Conventional Cone-Beam CT Projection Data," INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, v.82, 2012, p. E749.
Yuan Tian, Yin Yang, Xiaohu Guo, Balakrishnan Prabhakaran. "Stable Haptic Interaction Based on Adaptive Hierarchical Shape Matching," Computational Visual Media, v.1, 2015, p. 253.
Pan Li, Bin Wang, Feng Sun, Xiaohu Guo, Caiming Zhang, Wenping Wang. "Q-MAT: Computing Medial Axis Transform Using Quadratic Error Minimization," ACM Transactions on Graphics, v.35, 2015.
Shuiqing He, Yi-King Choi, Yanwen Guo, Xiaohu Guo, Wenping Wang. "A 3D Shape Descriptor based on Spectral Analysis of Medial Axis," Computer Aided Geometric Design, v.39, 2015, p. 50.
Virendra Mishra, Xiaohu Guo, Mauricio R. Delgado, Hao Huang. "Towards Tract-Specic Fractional Anisotropy (TSFA) at Crossing-Fiber Regions with Clinical Diusion MRI," Magnetic Resonance in Medicine, v.74, 2015, p. 1768.
Joubin Nasehi Tehrani, Yin Yang, Rene Werner, Wei Lu, Daniel Low, Xiaohu Guo, Jing Wang. "Sensitivity of Tumor Motion Simulation Accuracy to Lung Biomechanical Modeling Approaches and Parameters," Physics in Medicine and Biology, v.60, 2015, p. 8833.