Pierre Elbischger

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Arteries are prominent organs composed of soft tissues which have to distend in response to pulse waves. Once it is possible to develop reliable mechanical models of these soft tissues, a better understanding of several cardiovascular diseases, such as atherosclerosis, and interventional treatments, such as balloon angioplasty, might be possible. Numerical(More)
Numerical simulations, which are based on reliable biomechanical models of blood vessels, can help to get a better understanding of cardiovascular diseases such as atherosclerosis, and can be used to develop optimal medical treatment strategies.The adventitia is the outer most layer of blood vessels and its mechanical properties are essentially determined(More)
Fluorescence microscopy plays an important role in the classification of cancerous tissue. Fluorescent in situ hybridization (FISH) is a common method for marking different cell components (e.g. nucleus, cytoplasm, proteins) as well as specific DNA positions or whole DNA sequences. The FISH method/variant used in this paper facilitates a special combination(More)
We present a simple and universal camera calibration method. Instead of extensive setups we are exploiting the accurate angular positions of fixed stars. High precision is achieved by compensating the interfering error sources. Our approach uses a star catalog and requires a single input image only. No additional user input information such as focal length,(More)
Breast carcinoma is the most common form of cancer in women. Multicolour fluorescent in-situ hybridisation (m-FISH) is a common method for staging breast carcinoma. The interpretation of m-FISH images is complicated due to two effects: (i) Spectral overlap in the emission spectra of fluorochrome marked DNA probes and (ii) tissue autofluorescence. In this(More)
Collagen fiber bundles are important constituent parts of biological soft tissues, such as tendons, blood vessels and skin.The single collagen fibers within a bundle have a certain crimp that determines the bundle’s stretching characteristic, which is of particular interest in mechanobiology. A thorough understanding of the complex interrelations between(More)
Automated lung segmentation in multidetector computed tomography data is a first processing step in computer-aided quantitative assessment of lung disease. Robust segmentation of diseased lungs is a non-trivial problem which is unsolved up to now. Consequently, lung segmentation results need to be manually verified, which is time-consuming and costly. We(More)