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书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0165530<br><br> <br><br>书目名称Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0165530<br><br> <br><br>
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Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental mounted to the surgical tool for instrument tracking, which can be seen by the camera at all times during the operation. The patient registration is achieved by patient tracking and 3D contour matching with the preoperative patient model, requiring no fiducial marker and reference marker. In additi
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Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiograpvel ray-casting strategy that takes GPU architecture into consideration for high computational efficiency. Validation results show that the proposed mesh-based DRR simulates X-ray images with a high fidelity, and intensity-based 3D-2D registration using the resulting mesh-based DRR achieves satisfac
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Toward Accurate and Robust 2-D/3-D Registration of Implant Models to Single-Plane Fluoroscopy,nsity-based similarity measure between the fluoroscopic image and the simulated X-ray image. In the iterative registration, we use a novel two-layer hierarchical optimization strategy to achieve a high accuracy in depth estimation, to which the projection image is very insensitive. The proposed appr
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Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images,espective . images (similar images in terms of intensity appearance) in the cloud, we predict the initial deformation between the fixed and moving images by the deformation pathway between the two .images. Thus, the remaining small deformation can be efficiently refined via most existing deformable
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