Abstract: A system and method is provided for assessing efficacy of placement of a vascular implant medical device that has been implanted in a subject. The method includes accessing, with a computer system, image data acquired from a subject using a medical imaging system. The image data include at least one image of the vascular implant device implanted within a vascular structure of the subject after the subject has received an injection of a contrast agent at a contrast injection site. The method also includes determining, from the image data, a region of interest (ROI) that includes the vascular structure and is downstream of the contrast injection site and developing a contrast model from the image data. The method further includes, using the contrast model, determining a flow time constant and, using the flow time constant, assessing an efficacy of the vascular implant device implanted in the vascular structure.

Abstract: A system and method is provided for assessing efficacy of placement of a vascular implant medical device that has been implanted in a subject. The method includes accessing, with a computer system, image data acquired from a subject using a medical imaging system. The image data include at least one image of the vascular implant device implanted within a vascular structure of the subject after the subject has received an injection of a contrast agent at a contrast injection site. The method also includes determining, from the image data, a region of interest (ROI) that includes the vascular structure and is downstream of the contrast injection site and developing a contrast model from the image data. The method further includes, using the contrast model, determining a flow time constant and, using the flow time constant, assessing an efficacy of the vascular implant device implanted in the vascular structure.

Abstract: A method and apparatus for automated comparison of 3D images, such as specific shapes in images, for example, for detecting vascular changes and aneurysm growth. The method comprises an adaptive geodesic active contour (GAC) approach which can be performed in a single pass, or across multiple iterations. The method uniquely utilizes shape to identify targets in two 3D images so that images can be compared if there is any shape feature. A method is also described for iterative parameter image construction, which beneficially removes false positives. The technology is particularly well-suited for use in comparing geometric changes of aneurysms, tumors, thromboses, inflammations.

Abstract: A method and apparatus for automated comparison of 3D images, such as specific shapes in images, for example, for detecting vascular changes and aneurysm growth. The method comprises an adaptive geodesic active contour (GAC) approach which can be performed in a single pass, or across multiple iterations. The method uniquely utilizes shape to identify targets in two 3D images so that images can be compared if there is any shape feature. A method is also described for iterative parameter image construction, which beneficially removes false positives. The technology is particularly well-suited for use in comparing geometric changes of aneurysms, tumors, thromboses, inflammations.

Abstract: A method and apparatus for volumetric image analysis and processing is described. Using the method and apparatus, it is possible to obtain geometrical information from multi-dimensional (3D or more) images. As long as an object can be reconstructed as a 3D object, regardless of the source of the images, the method and apparatus can be used to segment the target (in 3D) from the rest of the structure and to obtain the target's geometric information, such as volume and curvature.

Abstract: A method and apparatus for volumetric image analysis and processing is described. Using the method and apparatus, it is possible to obtain geometrical information from multi-dimensional (3D or more) images. As long as an object can be reconstructed as a 3D object, regardless of the source of the images, the method and apparatus can be used to segment the target (in 3D) from the rest of the structure and to obtain the target's geometric information, such as volume and curvature.