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Volume Illustration of Muscle from Diffusion Tensor Images
November/December 2009 (vol. 15 no. 6)
pp. 1425-1432
Wei Chen, State Key Lab of CAD&CG, Zhejiang University
Zhicheng Yan, State Key Lab of CAD&CG, Zhejiang University
Song Zhang, Department of Computer Science and Engineering, Mississippi State University
John Allen Crow, College of Veterinary Medicine, Mississippi State University
David S. Ebert, Purdue University
Ronald M. McLaughlin, College of Veterinary Medicine, Mississippi State University
Katie B. Mullins, College of Veterinary Medicine, Mississippi State University
Robert Cooper, College of Veterinary Medicine, Mississippi State University
Zi'ang Ding, State Key Lab of CAD&CG,Zhejiang University
Jun Liao, Department of Agriculture and Biomedical Engineering, Mississippi State University
Medical illustration has demonstrated its effectiveness to depict salient anatomical features while hiding the irrelevant details. Current solutions are ineffective for visualizing fibrous structures such as muscle, because typical datasets (CT or MRI) do not contain directional details. In this paper, we introduce a new muscle illustration approach that leverages diffusion tensor imaging (DTI) data and example-based texture synthesis techniques. Beginning with a volumetric diffusion tensor image, we reformulate it into a scalar field and an auxiliary guidance vector field to represent the structure and orientation of a muscle bundle. A muscle maskderived from the input diffusion tensor image is used to classify the muscle structure. The guidance vector field is further refined to remove noise and clarify structure. To simulate the internal appearance of the muscle, we propose a new two-dimensional example based solid texture synthesis algorithm that builds a solid texture constrained by the guidance vector field. Illustrating the constructed scalar field and solid texture efficiently highlights the global appearance of the muscle as well as the local shape and structure of the muscle fibers in an illustrative fashion. We have applied the proposed approach to five example datasets (four pig hearts and a pigleg), demonstrating plausible illustration and expressiveness.

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Index Terms:
Illustrative Visualization, Diffusion Tensor Image, Muscle, Solid Texture Synthesis
Citation:
Wei Chen, Zhicheng Yan, Song Zhang, John Allen Crow, David S. Ebert, Ronald M. McLaughlin, Katie B. Mullins, Robert Cooper, Zi'ang Ding, Jun Liao, "Volume Illustration of Muscle from Diffusion Tensor Images," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1425-1432, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.203
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