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

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5.3 Visualization nodes and subgraphs Figure 5.7: With the color gradient editor it is possible to define arbitrary supporting points for each color-component’s mapping function and an optional transparency function. By applying a new gradient to a view, this gradient will serve as lookup table for a defined parameter. Else a default gradient is used. Flexible supporting points refer to the class ”HoverPoints” as denoted in figure 5.6. 98
5.3 Visualization nodes and subgraphs Figure 5.8: This UML class diagram gives an overview of the additional implemented visualization nodes. The full diagram can be found in figure B.4 and B.5. is high enough). The slope of the distribution can be modified with the σ-value of the Gauss set phrase, which accords to the amount of neighboring slices seen. This principle is outlined in figure 5.9. Figure 5.3.1 illustrates this behavior and figure 5.4 describes the modification of µ and σ with control draggers. 5.3.2 Cash-Flow View The Cash-Flow views are essentially based on the scene graph shown in figure 4.4.2. Since each volume field dataset is arranged on the same grid, a constant grid node can be defined to organize the data. Consequently, a Cash-Flow virtual array used with the data node is at the number of temporal volumes larger than the array of the grid node itself. To provide four dimensional support only the offset of the responsible selection has to be altered. Unfortunately, render nodes provided by the library, did not fit to the presented data and were occasionally slow since all calculations were performed on the CPU. That is the reason why only two rendering techniques performed well. Firstly the rendering of the grid and subparts of the grid in arbitrary order is very useful to evaluate the alignment of the flow data with the image data. The grid is rendered with this technique as small green points. Subsequently visualizing subparts with Cash-Flow is easy since only the increment (inc) value has to be modified. The view supporting this technique got the name ”grid supporting overview”. Secondly a velocity field overview with glyphs could be realized with small modifications of the Cash-Flow glyph render node. The right view rendered in figure 5.5 shows such a glyph view, using every tenth grid position. The glyphs itself are lines which are constantly colored from blue to red and a length corresponding to a tenth of the given 99
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Master’s Thesis Quantitative Meas
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I hereby certify that the work pres
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Kurzfassung In dieser Arbeit werden
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CONTENTS 4.2.2 Noise Suppression .
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Chapter 1 Introduction Assessment o
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Figure 1.1: This workflow diagram d
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Chapter 2 Visualization Visualizati
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2.1 Technical Visualization (a) (b)
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2.1 Technical Visualization Next a
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2.1 Technical Visualization Figure
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2.1 Technical Visualization • ave
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2.1 Technical Visualization spaced
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2.1 Technical Visualization improve
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2.1 Technical Visualization try to
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2.1 Technical Visualization Visuali
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2.1 Technical Visualization of N.
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2.2 Advanced Graphics Processing ap
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2.2 Advanced Graphics Processing pr
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2.2 Advanced Graphics Processing te
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Chapter 3 Magnetic Resonance Imagin
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3.1 Magnetic Field and Magnetizatio
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3.1 Magnetic Field and Magnetizatio
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3.2 Excitation of Magnetized Matter
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3.2 Excitation of Magnetized Matter
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3.3 Signal localization 1. A gradie
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Page 59 and 60: 3.4 Image Contrast (a) T1-contrast
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Page 73 and 74: 4.2 Data Preprocessing 4.2 Data Pre
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Page 97 and 98: 5.2 iMEDgine extensions 23 cam_posi
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Page 123 and 124: 6.3 Results 6.3 Results To complete
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Page 133 and 134: Chapter 7 Future Work This chapter
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Page 137 and 138: 7.5 Clinical Evaluations (a) Stereo
Page 139 and 140: Beside the improvement of known spa
Page 141 and 142: Appendix A Intermediate File Format
Page 143 and 144: A.2 Data Files Offset Name Type Des
Page 149 and 150: This chapter supplements chapter 5
Page 151 and 152: 143 Figure B.3: An thinned out UML
Page 153 and 154: Figure B.5: This UML class diagram
Page 155 and 156: 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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