Publications by authors named "Karsten Ostergaard Noe"

The Visible Ear Simulator (VES) is a freeware temporal bone surgical simulator utilizing a high-fidelity haptic and graphical voxel model compiled from segmented digital images of fresh frozen sections. A haptic device provides the 3-dimensional handling and drilling with force-feedback in real time. In a multilingual user interface the integrated tutor function provides stepwise instructions during drilling through an intuitive, volumetric approach.

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Background And Purpose: Variations in organ position, shape, and volume cause uncertainties in dose assessment for brachytherapy (BT) in cervix cancer. The purpose of this study was to evaluate uncertainties associated with bladder dose accumulation based on DVH parameter addition (previously called "the worst case assumption") in fractionated BT.

Materials And Methods: Forty-seven patients treated for locally advanced cervical cancer were included.

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Materials And Methods: Two registration methods based on optical flow estimation have been programmed to run on a graphics programming unit (GPU). One of these methods by Horn & Schunck is tested on a 4DCT thorax data set with 10 phases and 41 landmarks identified per phase. The other method by Cornelius & Kanade is tested on a series of six 3D cone beam CT (CBCT) data sets and a conventional planning CT data set from a head and neck cancer patient.

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This paper presents a real-time computer simulation of surgical procedures in the ear, in which a surgeon drills into the temporal bone to gain access to the middle or inner ear. The purpose of this simulator is to support development of anatomical insight and training of drilling skills for both medical students and experienced otologists. The key contributions in this application are the visualization and interaction models in the context of ear surgical simulation.

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Many existing image registration methods have difficulties in accurately describing significant rotation and bending of entities (e.g. organs) between two datasets.

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Repeated acquisitions of computed tomography and magnetic resonance imaging are increasingly used during radiotherapy treatment to accurately deliver radiation while limiting side effects. This is only feasible however after all acquisitions have been correlated to a single reference scan using a deformable registration method. This paper presents a parallel implementation of one such method, the viscous-fluid registration method, on modern graphics hardware.

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