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  Accurate Interactive Visualization of Large Deformations and Variability in Biomedical Image Ensembles

Hermann, M., Schunke, A. C., Schultz, T., & Klein, R. (2016). Accurate Interactive Visualization of Large Deformations and Variability in Biomedical Image Ensembles. IEEE Transactions on Visualization and Computer Graphics, 22(1), 708-717. doi:10.1109/TVCG.2015.2467198.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-21DE-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-21DF-1
Genre: Journal Article

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 Creators:
Hermann, Max, Author
Schunke, Anja C.1, Author              
Schultz, Thomas, Author
Klein, Reinhard, Author
Affiliations:
1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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Free keywords: Statistical deformation model; stationary velocity fields; image warping; interactive visual analysis
 Abstract: Large image deformations pose a challenging problem for the visualization and statistical analysis of 3D image ensembles which have a multitude of applications in biology and medicine. Simple linear interpolation in the tangent space of the ensemble introduces artifactual anatomical structures that hamper the application of targeted visual shape analysis techniques. In this work we make use of the theory of stationary velocity fields to facilitate interactive non-linear image interpolation and plausible extrapolation for high quality rendering of large deformations and devise an efficient image warping method on the GPU. This does not only improve quality of existing visualization techniques, but opens up a field of novel interactive methods for shape ensemble analysis. Taking advantage of the efficient non-linear 3D image warping, we showcase four visualizations: 1) browsing on-the-fly computed group mean shapes to learn about shape differences between specific classes, 2) interactive reformation to investigate complex morphologies in a single view, 3) likelihood volumes to gain a concise overview of variability and 4) streamline visualization to show variation in detail, specifically uncovering its component tangential to a reference surface. Evaluation on a real world dataset shows that the presented method outperforms the state-of-the-art in terms of visual quality while retaining interactive frame rates. A case study with a domain expert was performed in which the novel analysis and visualization methods are applied on standard model structures, namely skull and mandible of different rodents, to investigate and compare influence of phylogeny, diet and geography on shape. The visualizations enable for instance to distinguish (population-)normal and pathological morphology, assist in uncovering correlation to extrinsic factors and potentially support assessment of model quality. © 1995-2012 IEEE.

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Language(s): eng - English
 Dates: 2015-10-252015-03-312015-08-012015-08-122016-01-31
 Publication Status: Published in print
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 Identifiers: DOI: 10.1109/TVCG.2015.2467198
BibTex Citekey: Hermann2016708
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Funding program : (SPP1335)
Funding organization : Deutsche Forschungsgesellschaft

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Title: IEEE Transactions on Visualization and Computer Graphics
Source Genre: Journal
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Publ. Info: New York, NY : IEEE Computer Society
Pages: - Volume / Issue: 22 (1) Sequence Number: - Start / End Page: 708 - 717 Identifier: ISSN: 1077-2626
CoNE: https://pure.mpg.de/cone/journals/resource/954925605807