3D/2D model-to-image registration by imitation learning for cardiac procedures
نویسندگان
چکیده
منابع مشابه
Using a Robotic Arm for Echocardiography to X-ray Image Registration during Cardiac Catheterization Procedures
We present an initial evaluation of a robotic arm for positioning a 3D echo probe during cardiac catheterization procedures. By tracking the robotic arm, X-ray table and X-ray C-arm, we are able to register the 3D echo images with live 2D X-ray images. In addition, we can also use tracking data from the robotic arm combined with system calibrations to create extended field of view 3D echo image...
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Current automated intensity-based registration procedures make use of similarity functions computed with joint histograms, such as the well-known Mutual Information or the recent Correlation Ratio. We notice that the computation of such histograms represents up to 90% of time of the whole process. We propose in this work a method to accelerate the computation of these histograms in the case of ...
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Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...
متن کاملCardiac Image Registration.
Long procedure time and somewhat suboptimal results hinder the widespread use of catheter ablation of complex arrhythmias such as atrial fibrillation (AF). Due to lack of contrast differentiation between the area of interest and surrounding structures in a moving organ like heart, there is a lack of proper intraprocedural guidance using current imaging techniques for ablation. Cardiac image reg...
متن کاملModel - to - Image Registration Algorithm
The problem of pose estimation arises in many areas of computer vision, including object recognition, object tracking, site inspection and updating, and autonomous navigation when scene models are available. We present a new algorithm, called SoftPOSIT, for determining the pose of a 3D object from a single 2D image when correspondences between model points and image points are not known. The al...
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ژورنال
عنوان ژورنال: International Journal of Computer Assisted Radiology and Surgery
سال: 2018
ISSN: 1861-6410,1861-6429
DOI: 10.1007/s11548-018-1774-y