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Digital three-dimensional (3-D) imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound imaging, have permitted the development of computer-aided systems for patient- specific treatment planning. Generally in such a system, after image processing of digital image data sets, patient-specific models are developed and can then be employed for planning of...
High Intensity Focused Ultrasound (HIFU) system has been successfully applied to the tumor therapy. It is crucial to localize the tumor region accurately in this system. In this paper, a semi-automatic non-rigid registration algorithm is presented to implement the image-guided surgery navigation and localization by registration of pre-operative CT/MRI images and intra-operative US images. The global...
Cardiovascular interventions in the region of the aortic isthmus such as stent-grafting and vessel transposition introduce substantial changes in the deformation properties of the affected vessels. The changes play a fundamental role in the long-term prognosis for any such treatment, but are only poorly understood to date. We explore a fully automated method to quantify the deformation patterns of...
This paper presents a novel robust automatic method for the segmentation of the Inferior Vena Cava (IVC) in the proximity of the liver. In clinical diagnosis and surgery planning, IVC segmentation is essential since it strongly impacts both liver volumetry accuracy and vascularity analysis. Given the anatomical variability, the lack of clear boundaries and complexity of the surrounding structures...
In this paper, a software system for supporting stenting in the vascular domain is presented. The system covers all treatment phases from diagnosis to follow-up examinations. During the preoperative phase, the system supports the physician by suggesting the date and the kind (open surgery, minimally invasive) of intervention based on segmenting the patient's CT data. Therapy planning is additionally...
Patient-specific, interactive surgical simulation has become a major research direction in the biomedical side of computer graphics. While performing deformation on patients' medical volume data provides a realistic venue to define the most suitable operative strategy, the current simulators rely heavily on human efforts for data preprocessing. Such manual procedures not only require special knowledge...
An automated geometric analysis procedure uses volumetric computerized tomography scan data to produce a fully defined analytical model of the patient's arterial geometry with minimal user interaction. This model can be a powerful tool for surgery planning and stent design in addition to providing a basis for computational simulations.
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