Abstract: Image segmentation can include a pre-initialization image analysis of image data using an image analysis algorithm to generate a modified image, and the modified image can be presented on a display. An initialization can be performed on the modified image that includes user input on the modified image. The modified image can be segmented using a segmentation algorithm that evaluates the user input. Upon evaluating the user input, the segmentation algorithm can cause a segmented image to be produced which can be presented on the display.

Abstract: Image segmentation can include a pre-initialization image analysis of image data using an image analysis algorithm to generate a modified image, and the modified image can be presented on a display. An initialization can be performed on the modified image that includes user input on the modified image. The modified image can be segmented using a segmentation algorithm that evaluates the user input. Upon evaluating the user input, the segmentation algorithm can cause a segmented image to be produced which can be presented on the display.

Abstract: The present invention generally relates to intravascular ultrasound (IVUS) image segmentation methods, and is more specifically concerned with an intravascular ultrasound image segmentation method for characterizing blood vessel vascular layers. The proposed image segmentation method for estimating boundaries of layers in a multi-layered vessel provides image data which represent a plurality of image elements of the multi-layered vessel. The method also determines a plurality of initial interfaces corresponding to regions of the image data to segment and further concurrently propagates the initial interfaces corresponding to the regions to segment. The method thereby allows to estimate the boundaries of the layers of the multi-layered vessel by propagating the initial interfaces using a fast marching model based on a probability function which describes at least one characteristic of the image elements.

Abstract: The present invention generally relates to intravascular ultrasound (IVUS) image segmentation methods, and is more specifically concerned with an intravascular ultrasound image segmentation method for characterizing blood vessel vascular layers. The proposed image segmentation method for estimating boundaries of layers in a multi-layered vessel provides image data which represent a plurality of image elements of the multi-layered vessel. The method also determines a plurality of initial interfaces corresponding to regions of the image data to segment and further concurrently propagates the initial interfaces corresponding to the regions to segment. The method thereby allows to estimate the boundaries of the layers of the multi-layered vessel by propagating the initial interfaces using a fast marching model based on a probability function which describes at least one characteristic of the image elements.