2010
DOI: 10.1016/j.compmedimag.2009.07.004
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Abstract: A software system to provide intuitive navigation for MRI-guided robotic transperineal prostate therapy is presented. In the system, the robot control unit, the MRI scanner, and the open-source navigation software are connected together via Ethernet to exchange commands, coordinates, and images using an open network communication protocol, OpenIGTLink. The system has six states called "workphases" that provide the necessary synchronization of all components during each stage of the clinical workflow, and the u… Show more

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Cited by 61 publications
(37 citation statements)
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“…The problem of vessels extraction has received considerable attention in the computer vision and medical imaging communities [10]. Hence, several class of methods have been proposed to find a path from a set of medical imaging, such as using tracking methods [11] [6] [12], path extraction methods [13][14] [15], and so on. Most works based on in vivo MR-tracking methods usually need many user-defined way points as the input of a controller module for the navigation computation.…”
Section: Navigation In Blood Vesselsmentioning
confidence: 99%
“…The problem of vessels extraction has received considerable attention in the computer vision and medical imaging communities [10]. Hence, several class of methods have been proposed to find a path from a set of medical imaging, such as using tracking methods [11] [6] [12], path extraction methods [13][14] [15], and so on. Most works based on in vivo MR-tracking methods usually need many user-defined way points as the input of a controller module for the navigation computation.…”
Section: Navigation In Blood Vesselsmentioning
confidence: 99%
“…The problem of vessels extraction has received considerable attention in the computer vision and medical imaging communities [11]. Hence, several class of methods have been proposed to find a path from a set of medical imaging, such as using tracking methods [12] [7] [13], path extraction methods [14][15] [16], and so on. Most works based on in vivo MR-tracking methods usually need many user-defined way points as the input of a controller module for the navigation computation.…”
Section: A Finding Endovascular Navigation Pathmentioning
confidence: 99%
“…The problem of vessels extraction has received considerable attention in the computer vision and medical imaging communities [11]. Hence, several class of methods have been proposed to find a path from a set of medical imaging, such as using tracking methods [12] [7] [13], path extraction methods [14][15] [16], and so on. Most works based on in vivo MR-tracking 6 methods usually need many user-defined way points as the input of a controller module for the navigation computation.…”
Section: Finding Endovascular Navigation Pathmentioning
confidence: 99%
“…According to these parameters, the model of the process using (13) and (14) in 20 CARIMA (5) form is:…”
Section: Gpc Implementationmentioning
confidence: 99%