Rotational Roadmapping: A New Image-Based Navigation Technique for the Interventional Room

Siemens Medical Solutions, Forchheim, Germany.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 02/2007; 10(Pt 2):636-43. DOI: 10.1007/978-3-540-75759-7_77
Source: PubMed


For decades, conventional 2D-roadmaping has been the method of choice for image-based guidewire navigation during endovascular procedures. Only recently have 3D-roadmapping techniques become available that are based on the acquisition and reconstruction of a 3D image of the vascular tree. In this paper, we present a new image-based navigation technique called RoRo (Rotational Roadmapping) that eliminates the guess-work inherent to the conventional 2D method, but does not require a 3D image. Our preliminary clinical results show that there are situations in which RoRo is preferred over the existing two methods, thus demonstrating potential for filling a clinical niche and complementing the spectrum of available navigation tools.

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    • "In order to avoid blind catheter navigation, roadmapping techniques have been proposed to fuse previously acquired angiograms (roadmaps) with current fluoroscopic image frames [19] [13]. "
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    ABSTRACT: 2D angiographic roadmapping is used frequently during image guided interventions to superimpose vessel structures onto currently acquired fluoroscopic images. While the fluoroscopic images, acquired with 12-15 frames per second, show patient bone anatomy as well as the current location of the inserted catheter, the roadmap delineates vessels to provide path information and to avoid accidental vessel wall punctures during catheter advancement. This technique successfully reduces the injection of contrast agent, which is hazardous for the patient; however, it suffers from inaccuracy due to inevitable patient movement, which yields a misalignment of the roadmap laid over the current fluoroscopic frame. We propose a method for rigid patient motion compensation via the trifocal tensor and Image Based Rendering (IBR). The method uses two contrasted and slightly shifted views and the current fluoroscopic frame. Different to the existing solutions, we perform the motion compensation inherently in 3D, increasing reliability and accuracy of the resulting vascular rendering. Moreover, with the IBR technique, we avoid an explicit reconstruction, thus achieving reasonable results even for very small patient movements, which are common in interventional scenarios.
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on; 07/2008

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