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

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3.5 Cine Cardiac Fast Low-Angle Shot with Parallel-Imaging Technique Figure 3.14: Computing the complex difference of a flow compensated and flow sensitive signal produces a complex difference vector for moving signals and zero for stationary spin signals. The image implies that one of the major defiances is the 2π-periodicity of a complex signal. The phase shift has to be mapped precisely between −π and π which means that the maximum expected velocity has to be known in advance. artifacts may occur from time to time because v enc has to be defined empirically. On the other hand a v enc value defined too high will result in a low contrast velocity coding image. That is one of the reasons some further post processing steps are required or the usage of a sequence with pre-measured v enc . Since sequences with automatically estimated v enc were experimental during writing this thesis, further data post processing steps are described in section 4.2 due to empirical defined v enc -values. Figure 3.15 shows examples for v(x ijk ) > v enc and v enc
3.5 Cine Cardiac Fast Low-Angle Shot with Parallel-Imaging Technique Figure 3.15: Left: Anatomical image of the scanned area. Middle: An example for aliasing artifacts as a result of a too small chosen v enc value, v enc > v(x max ). The black pixels within the white homogeneous area suggest an opposite flow direction (red arrow). Right: Low contrast if v enc v enc suggest a flow in the opposite direction or for v enc
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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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Page 19 and 20: 2.1 Technical Visualization Figure
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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
Page 47 and 48: 3.1 Magnetic Field and Magnetizatio
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
Page 57 and 58: 3.3 Signal localization a commonly
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 71 and 72: 4.1 Requirements visualization of c
Page 73 and 74: 4.2 Data Preprocessing 4.2 Data Pre
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Page 77 and 78: 4.3 Intermediate File Format a simp
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Page 97 and 98: 5.2 iMEDgine extensions 23 cam_posi
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Page 105 and 106: 5.3 Visualization nodes and subgrap
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5.3 Visualization nodes and subgrap
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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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