Interactive visual analysis of perfusion data

IEEE Transactions on Visualization and Computer Graphics

Volumn 13, Issue 6, 2007, Pages 1392-1399

  Oeltze, Steffen ^a,b   Doleisch, Helmut ^a,c   Hauser, Helwig ^a,d   Muigg, Philipp ^c   Preim, Bernhard ^b  

^a IEEE   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

^c VRVIS RESEARCH CENTER   (Austria)

^d UNIVERSITY OF BERGEN   (Norway)

Author keywords

Integrating InfoVis SciVis; Multi field visualization; Time varying volume data; Visual data mining

Indexed keywords

INTEGRATING INFOVIS/SCIVIS; MULTI FIELD VISUALIZATION; TIME VARYING VOLUME DATA; VISUAL DATA MINING;

BLOOD; DIAGNOSIS; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; TUMORS; VISUALIZATION;

DATA MINING;

ARTICLE; BIOLOGICAL MODEL; BLOOD FLOW VELOCITY; BLOOD VESSEL; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER SIMULATION; FACTUAL DATABASE; FLOW KINETICS; HUMAN; METHODOLOGY; PHYSIOLOGY;

BLOOD FLOW VELOCITY; BLOOD VESSELS; COMPUTER GRAPHICS; COMPUTER SIMULATION; DATABASES, FACTUAL; HUMANS; MODELS, CARDIOVASCULAR; RHEOLOGY; USER-COMPUTER INTERFACE;

EID: 35948978096     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2007.70569     Document Type: Article

References (28)

1. N. Al-Saadi, M. Gross, A. Bornstedt, B. Schnackenburg, C. Klein, E. Fleck, and E. Nagel. Comparison of various parameters for determining an index of myocardial perfusion reserve in detecting coronary stenosis with cardiovascular magnetic resonance tomography. Z Kardiol, 90(11):824-34, Nov 2001.
2. U. Behrens, J. Teubner, C. J. Evertsz, M. Walz, H. Jürgens, and H.-O. Peitgen. Computer-Assisted Dynamic Evaluation of Contrast-Enhanced-MRI. In Proc. of Computer Assisted Radiology, pages 362-367, 1996.
3. J. Blaas, C. Botha, and F. Post. Interactive visualization of multi-field data using dynamically linked physical and feature space views. In Proc. of EuroVis, pages 123-130, 2007.
4. W. Chen, M. Giger, U. Bick, and G. Newstead. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Medical Physics, 33(8):2878-2887, 2006.
5. P. L. Choyke, A. J. Dwyer, and M. V. Knopp. Functional tumor imaging with dynamic contrast-enhanced magnetic resonance imaging. J Magn Reson Imaging, 17(5):509-20, May 2003.
6. E. Coto, S. Grimm, S. Bruckner, E. Gröller, A. Kanitsar, and O. Rodriguez. MammoExplorer: An Advanced CAD Application for Breast DCE-MRI. In Proc. of VMV, pages 91-98, 2005.
7. J. A. den Boer and P. J. M. Folkers. MR perfusion and diffusion imaging in ischaemic brain disease. Medica Mundi, 41(2):20-35, 1997.
8. H. Doleisch, M. Gasser, and H. Hauser. Interactive Feature Specification for Focus+Context Visualization of Complex Simulation Data. In Proc. of IEEE TCVG ?EUROGRAPHICS Symp. on Vis., pages 239-248, 2003.
9. H. Doleisch and H. Hauser. Smooth brushing for focus+context visualization of simulation data in 3D. Journal of WSCG, 10(1):147-154, 2002.
10. G. Furnas. Generalized fisheye views. In Proc. of the ACM CHI '86 Conf. on Human Factors in Computing Systems, pages 16-23, 1986.
11. D. L. Gresh, B. E. Rogowitz, R. L. Winslow, D. F. Scollan, and C. K. Yung. WEAVE: A System for Visually Linking 3-D and Statistical Visualizations, Applied to Cardiac Simulation and Measurement Data. In Proc. of IEEE Visualization, pages 489-492, 2000.
12. H. K. Hahn and H.-O. Peitgen. The skull stripping problem in MRI solved by a single 3d watershed transform. In Proc. of MICCAI, volume 1935 of LNCS, pages 134-143. Springer, 2000.
13. H. Hauser. Generalizing focus+context visualization. In Scientific Visualization: The Visual Extraction of Knowledge from Data, pages 305-327, 2005.
14. G. Hellwig, G. Brix, J. Griebel, R. Lucht, S. Delorme, M. Siebert, and K.-H. Englmeier. Dynamic MR mammography: three-dimensional real-time visualization of contrast enhancement in virtual reality. Academic Radiology, 9:1255-1263, 2002.
15. I. T. Jolliffe. Principal Component Analysis. Series in Statistics. Springer, 2nd edition, 2002.
16. S. Kohle, B. Preim, J. Wiener, and H.-O. Peitgen. Exploration of Time-varying Data for Medical Diagnosis. In Proc. of VMV, pages 31-38, 2002.
17. M. König, E. Klotz, and L. Heuser. Perfusion CT in Acute Stroke: Characterization of Cerebral Ischemia using Parameter Images of Cerebral Blood Flow and their Therapeutic Relevance. Electromedica, 66(2):61-67, 1998.
18. C. K. Kuhl, P. Mielcareck, S. Klaschik, C. Leutner, E. Wardelmann, J. Gieseke, and H. H. Schild. Dynamic Breast MR Imaging: Are Signal Intensity Time Course Data Useful for Differential Diagnosis of Enhancing Lesions? Radiology, 211(1):101-110, 1999.
19. M. Lysaker, A. Lundervold, and X. Tai. Noise Removal Using Fourth-Order Partial Differential Equation with Applications to Medical Magnetic Resonance Images in Space and Time. IEEE Trans. Image Processing, 12(12): 1579-1590, 2003.
20. M. Mlejnek, P. Ermes, A. Vilanova, R. van der Rijt, H. van den Bosch, E. Gröller, and F. Gerritsen. Application-oriented extensions of profile flags. In Proc. of EuroVis, pages 339-346, 2006.
21. W. Müller, T. Nocke, and H. Schumann. Enhancing the visualization process with principal component analysis to support the exploration of trends. In Proc. of Asia-Pacific Symposium on Information Visualisation, pages 121-130, 2006.
22. T. Nattkemper and A. Wismuller. Tumor feature visualization with unsupervised learning. Medical Image Analysis, 9(4):344-351, 2005.
23. S. Oeltze, F. Grothues, A. Hennemuth, A. Kuß, and B. Preim. Integrated Visualization of Morphologic and Perfusion Data for the Analysis of Coronary Artery Disease. In Proc. of EuroVis, pages 131-138, 2006.
24. I. Paetsch, C. Jahnke, A. Wahl, R. Gebker, M. Neuss, E. Fleck, and E. Nagel. Comparison of Dobutamine Stress Magnetic Resonance, Adenosine Stress Magnetic Resonance, and Adenosine Stress Magnetic Resonance Perfusion. Circulation, 110(7): 835-842, 2004.
25. J. R. Panting, P. D. Gatehouse, G. Z. Yang, M. Jerosch-Herold, N. Wilke, D. N. Firmin, and D. J. Pennell. Echo-planar magnetic resonance myocardial perfusion imaging: parametric map analysis and comparison with thallium SPECT. JMagn Reson Imaging, 13(2):192-200, Feb 2001.
26. D. Rueckert, L. Sonoda, C. Hayes, D. Hill, M. Leach, and D. J. Hawkes. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imag., 18(8):712-721, 1999.
27. A. Schenk, G. Prause, and H.-O. Peitgen. Efficient semiautomatic segmentation of 3d objects in medical images. In Proc. of MICCAI, pages 186-195. Springer, 2000.
28. T. Twellmann, O. Lichte, and T. Nattkemper. An adaptive tissue characterization network for model-free visualization of dynamic contrastenhanced magnetic resonance image data. IEEE Trans. Med. Imag., 24(10): 1256-1266, 2005.