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

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I would like to dedicate this thesis to my grandma who died during the creation of this work. She was always proud of me and supported me as good as she could.
I hereby certify that the work presented in this master thesis is my own and that work performed by others is appropriately cited. All images used in this work are made by myself and therefore belong to me unless otherwise noted. Please ask me before reusing my images! Ich versichere hiermit, diese Arbeit selbständig verfasst, keine anderen als die angegebenen Quellen und Hilfsmittel benutzt und mich auch sonst keiner unerlaubten Hilfsmittel bedient zu haben. Alle in dieser Arbeit gezeigten Grafiken sind, solange nicht anders angegeben, von mir erstellt worden, und daher mein Eigentum. Bitte fragen Sie mich, bevor Sie Bilder wiederverwenden!
Page 1: Master’s Thesis Quantitative Meas
Page 5 and 6: Kurzfassung In dieser Arbeit werden
Page 7 and 8: CONTENTS 4.2.2 Noise Suppression .
Page 9 and 10: Chapter 1 Introduction Assessment o
Page 11 and 12: Figure 1.1: This workflow diagram d
Page 13 and 14: Chapter 2 Visualization Visualizati
Page 15 and 16: 2.1 Technical Visualization (a) (b)
Page 17 and 18: 2.1 Technical Visualization Next a
Page 19 and 20: 2.1 Technical Visualization Figure
Page 21 and 22: 2.1 Technical Visualization • ave
Page 23 and 24: 2.1 Technical Visualization spaced
Page 27 and 28: 2.1 Technical Visualization improve
Page 29 and 30: 2.1 Technical Visualization try to
Page 31 and 32: 2.1 Technical Visualization Visuali
Page 35 and 36: 2.1 Technical Visualization of N.
Page 37 and 38: 2.2 Advanced Graphics Processing ap
Page 39 and 40: 2.2 Advanced Graphics Processing pr
Page 41 and 42: 2.2 Advanced Graphics Processing te
Page 43 and 44: Chapter 3 Magnetic Resonance Imagin
Page 45 and 46: 3.1 Magnetic Field and Magnetizatio
Page 47 and 48: 3.1 Magnetic Field and Magnetizatio
Page 49 and 50: 3.2 Excitation of Magnetized Matter
Page 51 and 52: 3.2 Excitation of Magnetized Matter
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3.3 Signal localization 1. A gradie
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3.3 Signal localization in one dire
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3.3 Signal localization a commonly
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3.4 Image Contrast (a) T1-contrast
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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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Master's Thesis - Studierstube Augmented Reality Project - Graz ...

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