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Examinations of the spinal column with both, Magnetic Resonance (MR) imaging and Computed Tomography (CT), often require a precise three-dimensional positioning, angulation and labeling of the spinal disks and the vertebrae. A fully automatic and robust approach is a prerequisite for an automated scan alignment as well as for the segmentation and analysis(More)
The reconstruction of patients with large deformations in the facial area should consider functional aspects as well as aesthetical ones. In this paper, an integrated virtual reality system which allows bone manipulation, osteotomy planning, calculation of implants for soft tissue and bones combined with the calculation of the post-operative appearance is(More)
For surgical planning in spine surgery, the segmentation of anatomical structures is a prerequisite. Past efforts focussed on the segmentation of vertebrae from tomographic data, but soft tissue structures have, for the most part, been neglected. Only sparse research work has been done for the spinal cord and the trachea. However, as far as the author is(More)
Navigation systems have been successfully established in spine surgery over the past years. Although there is rather good intraoperative support, preoperative planning still lacks a technologically mature software basis. In particular, the computation of the effect of intervention would be of great importance to the surgeon, which would allow him to choose(More)
In this paper we propose a novel learning–based CBIR method for fast content–based retrieval of similar 3D images based on the intrinsic Random Forest (RF) similarity. Furthermore, we allow the combination of flexible user–defined semantics (in the form of retrieval contexts and high–level concepts) and appearance–based (low–level) features in order to(More)
In this paper we present a method for virtual 3D cutting operations in 3D tomographic data. When cutting interactively the user specifies a series of 3D cutting points and corresponding cut depths on the surface of the object. Each pair of succeeding cutting points then defines a freeform shape of the incision. A 3D meshing algorithm constructs a Finite(More)
Being able to segment the esophagus without user interaction from 3-D CT data is of high value to radiologists during oncological examinations of the mediastinum. The segmentation can serve as a guideline and prevent confusion with pathological tissue. However, limited contrast to surrounding structures and versatile shape and appearance make segmentation a(More)
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confusion with pathological tissue. However, segmentation is a challenging problem due to low contrast and versatile appearance of the esophagus. In this paper, a two step method is(More)
A good application design is crucial for uncomplicated cooperation between software developers with different programming skills, such as researchers and students at university , as in our case. That's why MEDIFRAME features developmental tasks isolated by skill sets. Abstract—In this paper we will give an overview of our cross-platform software framework(More)