Bernhard Petersch

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BACKGROUND AND PURPOSE To evaluate the impact of two different methods of geometric distortion correction of MR images from a Siemens Magnetom Open Viva 0.2T resistive MR unit on the process of external beam radiotherapy treatment planning for prostate cancer. PATIENTS AND METHODS A method for correction of system related and object induced distortions(More)
A new prototype (hardware and software) for monitoring eye movements using a noninvasive technique for gated linac-based stereotactic radiotherapy (SRT) of uveal melanoma was developed. The prototype was tested within the scope of a study for 11 patients. Eye immobilization was achieved by having the patient fixate a light source integrated into the system.(More)
Opacity transfer function (OTF) generation for direct volume rendering of medical image data is an intensely discussed subject. Several automatic methods exist for CT and MRI data, which are not apt for ultrasound data, mainly due to its low signal-to-noise ratio. Furthermore, ultrasound (US) imaging is able to produce time-varying 3D datasets in real time(More)
Visualization of volumetric multicomponent data sets is a high-dimensional problem, especially for color data. Medical 3D ultrasound (US) technology has rapidly advanced during the last few decades and scanners can now generate joint 3D scans of tissues (B-mode) and blood flow (power or color Doppler) in real time. Renderings of such data sets have to(More)
PURPOSE To introduce a noninvasive eye fixation and computer-aided eye monitoring system for linear accelerator-based stereotactic radiotherapy for uveal melanoma. METHODS AND MATERIALS At the Department of Radiotherapy and Radiobiology, University of Vienna, stereotactic radiotherapy is offered to patients with uveal melanoma considered unsuitable for(More)
Pulsed-wave Doppler (PWD) sonography allows the quantitative measurement of blood flow in vessels if the vessel's diameter and the angle (Doppler angle theta) between the ultrasound beam and the vessel's flow direction are known. In current clinical routine, these parameters are manually determined by the examiner. However the manual determination is(More)
Sometimes real world data exhibits characteristics cumbersome to model. If so, segmentation turns out to be a tricky task. This is especially true for medical image data. Nonetheless, most segmentation techniques yield a model without indicating any uncertainty in these cases. We address this dilemma taking a geometric approach. The underlying idea is to(More)
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