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20 March 2007Simultaneous visualization of anatomical and functional 3D data by combining volume rendering and flow visualization

Tobias Schafhitzel,Friedemann Rößler, Daniel Weiskopf, Thomas Ertl

Author Affiliations +

Tobias Schafhitzel,¹ Friedemann Rößler,¹ Daniel Weiskopf,² Thomas Ertl¹

¹Univ. Stuttgart (Germany)
²Simon Fraser Univ. (Canada)

Proceedings Volume 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures; 650902 (2007)https://doi.org/10.1117/12.708799
Event:Medical Imaging, 2007, San Diego, CA, United States

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Abstract

Modern medical imaging provides a variety of techniques for the acquisition of multi-modality data. A typicalexample is the combination of functional and anatomical data from functional Magnetic Resonance Imaging(fMRI) and anatomical MRI measurements. Usually, the data resulting from each of these two methods istransformed to 3D scalar-field representations to facilitate visualization. A common method for the visualizationof anatomical/functional multi-modalities combines semi-transparent isosurfaces (SSD, surface shaded display)with other scalar visualization techniques like direct volume rendering (DVR). However, partial occlusion andvisual clutter that typically result from the overlay of these traditional 3D scalar-field visualization techniquesmake it difficult for the user to perceive and recognize visual structures. This paper addresses these perceptualissues by a new visualization approach for anatomical/functional multi-modalities. The idea is to reduce theocclusion effects of an isosurface by replacing its surface representation by a sparser line representation. Thoselines are chosen along the principal curvature directions of the isosurface and rendered by a flow visualizationmethod called line integral convolution (LIC). Applying the LIC algorithm results in fine line structures thatimprove the perception of the isosurface's shape in a way that it is possible to render it with small opacityvalues. An interactive visualization is achieved by executing the algorithm completely on the graphics processingunit (GPU) of modern graphics hardware. Furthermore, several illumination techniques and image compositingstrategies are discussed for emphasizing the isosurface structure. We demonstrate our method for the exampleof fMRI/MRI measurements, visualizing the spatial relationship between brain activation and brain tissue.

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Tobias Schafhitzel,Friedemann Rößler,Daniel Weiskopf, andThomas Ertl"Simultaneous visualization of anatomical and functional 3D data by combining volume rendering and flow visualization", Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 650902 (20 March 2007);https://doi.org/10.1117/12.708799

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