Master's Thesis - Studierstube Augmented Reality Project - Graz ...
Master's Thesis - Studierstube Augmented Reality Project - Graz ...
Master's Thesis - Studierstube Augmented Reality Project - Graz ...
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Chapter 7<br />
Future Work<br />
This chapter gives an overview of the vast possibilities for future work. Referring to figure<br />
2.12 from chapter 2, section 7.2 itemizes some possible improvements of the already<br />
implemented new visualizations. Some further derivable quantities of the measurement<br />
method presented in chapter 3 are outlined in section 7.3. Usability and controllability<br />
of the algorithms are treated in section 7.4 with a special focus on augmented and<br />
virtual reality ideas. Finally section 7.5 deals with one of the most important questions<br />
for future developments: ”Are the attempted efforts expedient for clinical routine at<br />
all?”.<br />
7.1 Measurement Method and Preprocessing<br />
The measurement method itself provides much more than the quantification of velocity<br />
in the blood. Theoretically all moving tissues and fluids in the human body can be<br />
investigated. For example a measurement of the movement of the myocardium or the<br />
flow of synovial fluid could be useful as well. As mentioned in chapter 3 a method to<br />
pre-estimate the v enc value and a sequence which can perform with respiration of the<br />
patients would be desirable too.<br />
The Siemens 4D-Flow Toolbox, respectively the calculation tool is currently a nice<br />
and powerful tool to process the raw MRI image data fast and accurate. Nevertheless<br />
a segmentation of interesting or rather flow-undefined regions by hand is a quite<br />
exhausting and time consuming task. Consequently, the following improvements are<br />
proposed:<br />
• An automatic segmentation of the myocardium respectively of these regions which<br />
are definitely valid flow values. This would be a vision task, so these deficiencies<br />
were not illuminated closer in this work on visualization. However, if such a<br />
segmentation would perform accurate the segmentation borders itself could be<br />
used for a direct visualization of the tissue as surface.<br />
• Better algorithms for an automatic aliasing correction are available because the<br />
course of the flow velocity values is not as linear as indicated in figure 4.3 in chap-<br />
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