Visually Supporting Depth Perception in Angiography Imaging

In this paper we propose interactive visualization techniques which support the spatial comprehension of angiogram images by emphasizing depth information and introducing combined depth cues. In particular, we propose a depth based color encoding, two variations of edge enhancement and the application of a modified depth of field effect in order to enhance depth perception of complex blood vessel systems. All proposed techniques have been developed to improve the human depth perception and have been adapted with special consideration of the spatial comprehension of blood vessel structures. To evaluate the presented techniques, we have conducted a user study, in which users had to accomplish certain depth perception tasks.

[1]  M. Landy,et al.  A perturbation analysis of depth perception from combinations of texture and motion cues , 1993, Vision Research.

[2]  Bernhard Preim,et al.  Visualization and interaction techniques for the exploration of vascular structures , 2001, Proceedings Visualization, 2001. VIS '01..

[3]  Ganesh S. Oak.  Information Visualization Introduction , 2022 .

[4]  Eduard Gröller,et al.  The VesselGlyph: focus & context visualization in CT-angiography , 2004, IEEE Visualization 2004.

[5]  Michael J. Bailey,et al.  Using ChromaDepth to Obtain Inexpensive Single-image Stereovision for Scientific Visualization , 1998, J. Graphics, GPU, & Game Tools.

[6]  Guido Gerig,et al.  Symbolic Description of 3-D Structures Applied to Cerebral Vessel Tree Obtained from MR Angiography Volume Data , 1993, IPMI.

[7]  Fulvio Domini,et al.  Temporal integration of motion and stereo cues to depth , 2003, Perception & psychophysics.

[8]  Richard Arend Steenblik,et al.  The Chromostereoscopic Process: A Novel Single Image Stereoscopic Process , 1987, Photonics West - Lasers and Applications in Science and Engineering.

[9]  Bernhard Preim,et al.  Visualization of vasculature with convolution surfaces: method, validation and evaluation , 2005, IEEE Transactions on Medical Imaging.

[10]  Jonathan D. Pfautz,et al.  Depth Perception in Computer Graphics , 2000 .

[11]  Armin Kanitsar,et al.  CPR - curved planar reformation , 2002, IEEE Visualization, 2002. VIS 2002..

[12]  G. Sperling,et al.  Tradeoffs between stereopsis and proximity luminance covariance as determinants of perceived 3D structure , 1986, Vision Research.

[13]  J. Cutting,et al.  Minimodularity and the perception of layout. , 1988, Journal of experimental psychology. General.

[14]  Takafumi Saito,et al.  Comprehensible rendering of 3-D shapes , 1990, SIGGRAPH.

[15]  Donald P. Greenberg,et al.  Perceiving spatial relationships in computer-generated images , 1992, IEEE Computer Graphics and Applications.

[16]  David C Knill,et al.  Reaching for visual cues to depth: the brain combines depth cues differently for motor control and perception. , 2005, Journal of vision.