Force and touch feedback for virtual reality
Force and touch feedback for virtual reality
The haptic display of complex graphical environments
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Improving Medical Segmentation with Haptic Interaction
VR '02 Proceedings of the IEEE Virtual Reality Conference 2002
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment
Proceedings of the ACM symposium on Virtual reality software and technology
Editorial: Interactive imaging and vision-Ideas, algorithms and applications
Pattern Recognition
A comparative evaluation of interactive segmentation algorithms
Pattern Recognition
Evaluation of 2D and 3D glove input applied to medical image analysis
International Journal of Human-Computer Studies
Fast and robust semi-automatic liver segmentation with haptic interaction
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
A 3d live-wire segmentation method for volume images using haptic interaction
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Advances in Human-Computer Interaction
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Manual segmentation of structures for diagnosis and treatment of various diseases is a very time-consuming procedure. Therefore, some level of automation during the segmentation is desired, as it often significantly reduces the segmentation time. A typical solution is to allow manual interaction to steer the segmentation process, which is known as semiautomatic segmentation. In 2D, such interaction is usually achieved with click-and-drag operations, but in 3D a more sophisticated interface is called for. In this paper, we propose a semi-automatic Active Contour Modelling for the delineation of medical structures in 3D, tomographic images. Interaction is implemented with the employment of a 3D haptic device, which is used to steer the contour deformation towards the correct boundaries. In this way, valuable haptic feedback is provided about the 3D surface and its deformation. Experiments on simulated and real tracheal CT data showed that the proposed technique is an intuitive and effective segmentation mechanism.