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We propose an automatic four-chamber heart segmentation system for the quantitative functional analysis of the heart from cardiac computed tomography (CT) volumes. Two topics are discussed: heart modeling and automatic model fitting to an unseen volume. Heart modeling is a nontrivial task since the heart is a complex nonrigid organ. The model must be(More)
Minimally invasive liver interventions demand a lot of experience due to the limited access to the field of operation. In particular, the correct placement of the trocar and the navigation within the patient's body are hampered. In this work, we present an intraoperative augmented reality system (IARS) that directly projects preoperatively planned(More)
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts makes this segmentation problem a challenging task. In this paper, we present an efficient, robust, and fully automatic segmentation method for 3D cardiac computed tomography (CT)(More)
High performance deformation of volumetric objects is a common problem in computer graphics that has not yet been handled sufficiently. As a supplement to 3D texture based volume rendering, a novel approach is presented, which adaptively subdivides the volume into piecewise linear patches. An appropriate mathematical model based on tri-linear interpolation(More)
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities. To accurately localize a 3D object, we need to estimate nine parameters (three for position, three for orientation, and three for anisotropic scaling). Instead of uniformly searching the original(More)
Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visual and quantitative evaluation of the valve, crucial throughout the clinical workflow, is currently limited to 2D imaging which can potentially yield inaccurate measurements. In(More)
This paper presents an application for semi-automatic repositioning of bone fractures that allows the merging of several fragments. This application has been developed with regard to or-thopaedic surgeons who want to simulate the position and orientation of bone fragments preopera-tively. The interactive algorithm includes volumetric collision detection for(More)
Zusammenfassung Augmented Reality(AR) Systeme in der Medizin erlauben dië Uberlagerung von laparoskopischen Videobildern mit drei-dimensionalen Volumendaten. Unter Einsatz eines leistungsfähigen Volume Rendering Systems mit Multitexturen ist es möglich, Echtzeit-Frameraten bei der¨Uberlagerung zu erzielen. Die Registrierung zwischen Patient und CT-Datensatz(More)