Tobias Sielhorst's Dissertation Defense on 'New Methods for Medical Augmented Reality'
New Methods for Medical Augmented Reality
The increasing amount of imaging data in the operating room offers
new possibilities for surgeons. Preoperative data like Computed Tomography
and Magnetic Resonance Imaging allow for detailed anatomical information.
Recently, intraoperative imaging like X-ray C-arms and ultrasound
have become increasingly accessible in the OR and provide real-time
anatomical images. Also, functional imaging such as PET and fMRI is
accessible in a growing number of institutions. Corresponding intraoperative
functional probes allow more efficient procedures to be suggested
in the near future.
The growing amount of imaging data also increases the difficulty of
finding the desired piece of information. Thus, efficient data representation
becomes increasingly important to doctors for an efficient use of
the data. Visualization in computer assisted surgical solutions has
not coped with the recent developments and does still not provide
solutions which allow surgeons to take full advantage of the above
Augmented Reality is a technology that has potential to improve doctors'
performance by effectively displaying spatial relations in medical
image data, decreasing the distance between patient and data, and
relating hand movements and image data in the same coordinate system.
After more than a decade of research in medical Augmented Reality,
the technology seems to be sufficiently understood to create prototype
systems for a showroom. However, it has not found its way into operating
This thesis addresses current issues of medical Augmented Reality
regarding the right place, right time, and the right way of data representation.
Its literature review provides extensive research about medical AR setups. The seconds chapter
features a detailed overview on components that are necessary for a medical AR system and
includes a new method for temporal registration in AR. The following chapter discusses how
to integrate these components describing the developed software framework. The last chapter describes new methods for assessment
of a medical AR system addressing latency measurement and dynamic error prediction.
The assessment chapter concludes with validation steps that have been performed for the system that has been
developed as a part of the project NARVIS.
| WebEventForm |
| Title: || Tobias Sielhorst's Dissertation Defense on 'New Methods for Medical Augmented Reality' |
| Date: || 6 March 2008 |
| Location: || Garching |
| Abstract: || CAMP's research assistant Tobias Sielhorst is defending his dissertation. The topic of his thesis is 'New Methods for Medical Augmented Reality'. |
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| Type: || News |
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