Master's Thesis - Studierstube Augmented Reality Project - Graz ...

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stress visualizations. These applications may provide crucial indicators for a possible course of a vessel surgery. Currently, these quantities are determinate by perilous catheter based measurements. They may get obsolete through further investigations of 4D PC-MRI cardiac flow measurements and according visualization techniques. 4
Chapter 2 Visualization Visualization is a broad term referring to various fields and disciplines. It is always related to a human perception, so the interpretation of visualization can differ from person to person. In the focus of this work, visualization generally means the representation of complex data with visual means. In this context the goal of visualization is to give different observers the same perception of the same coherences of the same data. This chapter introduces different kinds of presentation techniques and accordingly splits them up to the underlying data and the information which has to be transported. Such high-level definitions can be subdivided into numerous sections, which can be organized in a tree structure. This chapter will follow one path of this tree up to possibilities suited for complex datasets as described in chapter 3. The junctions through this tree will define technical visualization and its divisions into scientific visualization and information visualization which are separated in section 2.1. Passing some insights in ongoing graphics hardware developments will yield a high level description of the programing abilities of such a graphical processing unit (GPU) with a special view on vector processing and flow visualization opportunities. The focus of this thesis is the processing of image data with additional cardiac flow patterns, recorded from a MR imaging device. Consequently, cardiac flow data visualization belongs to the field of scientific visualization which will be illuminated in section 2.1.1. 5
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Page 7 and 8: CONTENTS 4.2.2 Noise Suppression .
Page 9 and 10: Chapter 1 Introduction Assessment o
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3.5 Cine Cardiac Fast Low-Angle Sho
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4.1 Requirements visualization of c
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4.2 Data Preprocessing 4.2 Data Pre
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4.2 Data Preprocessing and if ∆v
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4.3 Intermediate File Format a simp
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4.4 Visualization Framework impleme
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4.4 Visualization Framework hardwar
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4.4 Visualization Framework 3 void
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4.4 Visualization Framework • fra
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4.4 Visualization Framework Figure
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Chapter 5 Implementation This chapt
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5.2 iMEDgine extensions Figure 5.1:
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5.2 iMEDgine extensions which eases
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5.2 iMEDgine extensions solution fu
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5.2 iMEDgine extensions 23 cam_posi
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5.2 iMEDgine extensions Figure 5.4:
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5.2 iMEDgine extensions • SoSFStr
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5.2 iMEDgine extensions 6 Z=" -238.
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5.3 Visualization nodes and subgrap
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Chapter 6 Experiments Several atten
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6.3 Results 6.3 Results To complete
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6.4 Scalability activity. The highe
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6.4 Scalability (a) Stream lines fo
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6.4 Scalability (a) Stream tubes ap
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6.4 Scalability Figure 6.10: Compar
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Chapter 7 Future Work This chapter
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7.3 Derived Magnitudes possibilitie
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7.5 Clinical Evaluations (a) Stereo
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Beside the improvement of known spa
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Appendix A Intermediate File Format
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A.2 Data Files Offset Name Type Des
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This chapter supplements chapter 5
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143 Figure B.3: An thinned out UML
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Figure B.5: This UML class diagram
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Glossary Notation bipolar gradient
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Glossary Notation Description MIP M
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Glossary Notation Description shade
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LIST OF FIGURES 3.5 The slice-profi
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List of Tables 2.1 CPU - GPU analog
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REFERENCES [Brill1994] M. Brill, W.
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REFERENCES [iMedgine2006] T. Gross,
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REFERENCES [Kniss2002a] Joe Kniss,
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REFERENCES [Markl2003] Michael Mark
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REFERENCES [Roth1982] Scott D. Roth
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REFERENCES [Vivek1999] andAlexPang
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INDEX flow data, 135 format definit
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