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As we know that MIS permits vascular interventions through very small incisions and minimizes the patients' trauma and permits a faster recovery compared. In this document, we present the mechanical and haptic simulation of the MIS VR operation training system. Virtual reality technology for doctors can improve the accuracy and safety of real vascular interventional surgery for vascular interventional...
In this paper, we present a novel automatic marker detection method for X-ray images in the framework of machine learning, which is different from those approaches using traditional template matching or fitting algorithms based on prior knowledge. First we propose to use the covariance-based descriptors to effectively represent the marker features in X-ray images. Then we utilize the cascade of LogitBoost...
We propose a new unified rendering interface — SenseViewer — that allows users to annotate and label visual, auditory and in particular haptic cues to medical images. This new interface may support pre-operation planning, surgical training and medical robot guidance better. Users can touch and feel virtual organs and tissues with haptics. The visual and auditory cues are helpful to define optimal...
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