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

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4.2 Data Preprocessing Figure 4.1: A screenshot of the 4D-Flow Toolbox calculation tool. Additional to specialized correction mechanisms several basic contouring and manipulation tools as common for medical datasets are available. Figure 4.2: This figure refers to the actual 4D-Flow Toolbox [Reiter2006], where a simple visualization tool is already integrated. This tool is able to render hedgehog arrow plots and making screenshots of them. Even a Matlab export is possible. Matlab is a product of The MathWorks and can be found at ”http://www.mathworks.com/”. The visualization environment described in this work uses the intermediate files in the middle and performs visualizations for higher grades. 66
4.2 Data Preprocessing and if ∆v adj < 0 v adj =v for v < v max v adj =v − 2v enc for v ≥ v max (4.1) If a v enc adjustment was done, the value v adj is stored in the intermediate file as well. An automatic v enc correction is possible as well. This assumes a temporal field, since this correction analyzes the temporal course of the velocity values. Figure 4.3 illustrates the typical temporal course of a velocity value with aliasing. Figure 4.3: A typical temporal course of a velocity value with aliasing effect from [Reiter2007] By definition aliasing in v i (t n ) is present if v i (t r ) − v i (t r+1 ) > v enc v i (t s ) − v i (t s+1 ) < −v enc (4.2) which applies exactly once. Then a replacement for v i (t n ) → v i (t n ) + 2v enc for n = r + 1, ..., s v i (t n ) → v i (t n ) − 2v enc for n = s + 1, ..., r and r > s and r < s (4.3) 67
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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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Page 27 and 28: 2.1 Technical Visualization improve
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Page 37 and 38: 2.2 Advanced Graphics Processing ap
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Page 43 and 44: Chapter 3 Magnetic Resonance Imagin
Page 45 and 46: 3.1 Magnetic Field and Magnetizatio
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Page 49 and 50: 3.2 Excitation of Magnetized Matter
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Page 53 and 54: 3.3 Signal localization 1. A gradie
Page 55 and 56: 3.3 Signal localization in one dire
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Page 59 and 60: 3.4 Image Contrast (a) T1-contrast
Page 61 and 62: 3.5 Cine Cardiac Fast Low-Angle Sho
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Page 123 and 124: 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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