Abstract: Medical imaging systems are provided that facilitate transitioning between viewing native and reconstructed medical images in the same viewport. In one embodiment, a method comprises retrieving indexed image metadata describing native medical images associated with a medical imaging data set selected for viewing. The method further comprises grouping the native medical images into one or more sets of related images, and for each set of the one or more sets of related images, sorting the related images into one or more subsets of 3D compatible images that can respectively be used to generate one or more 3D representations. The method further comprises generating a data model identifying the one or more sets of related images and the one or more subsets of 3D compatible images, and employing the data model to facilitate transitioning between rendering the native medical images and the one or more 3D representations in the same viewport.

Abstract: Medical imaging systems are provided that facilitate transitioning between viewing native and reconstructed medical images in the same viewport. In one embodiment, a method comprises retrieving indexed image metadata describing native medical images associated with a medical imaging data set selected for viewing. The method further comprises grouping the native medical images into one or more sets of related images, and for each set of the one or more sets of related images, sorting the related images into one or more subsets of 3D compatible images that can respectively be used to generate one or more 3D representations. The method further comprises generating a data model identifying the one or more sets of related images and the one or more subsets of 3D compatible images, and employing the data model to facilitate transitioning between rendering the native medical images and the one or more 3D representations in the same viewport.

Abstract: Medical imaging systems are provided that facilitate transitioning between viewing native and reconstructed medical images in the same viewport. In one embodiment, a method comprises retrieving indexed image metadata describing native medical images associated with a medical imaging data set selected for viewing. The method further comprises grouping the native medical images into one or more sets of related images, and for each set of the one or more sets of related images, sorting the related images into one or more subsets of 3D compatible images that can respectively be used to generate one or more 3D representations. The method further comprises generating a data model identifying the one or more sets of related images and the one or more subsets of 3D compatible images, and employing the data model to facilitate transitioning between rendering the native medical images and the one or more 3D representations in the same viewport.

Abstract: Medical imaging systems are provided that facilitate transitioning between viewing native and reconstructed medical images in the same viewport. In one embodiment, a method comprises retrieving indexed image metadata describing native medical images associated with a medical imaging data set selected for viewing. The method further comprises grouping the native medical images into one or more sets of related images, and for each set of the one or more sets of related images, sorting the related images into one or more subsets of 3D compatible images that can respectively be used to generate one or more 3D representations. The method further comprises generating a data model identifying the one or more sets of related images and the one or more subsets of 3D compatible images, and employing the data model to facilitate transitioning between rendering the native medical images and the one or more 3D representations in the same viewport.

Abstract: Methods and systems and computer program products for automatically segmenting the volume of interest from intensity images are provided. The method for segmenting a volume of interest in an intensity image receives the intensity image and the scanner acquisition parameters used to acquire the intensity image. The method then scales the contrast of the intensity image based, at least in part, on the scanner acquisition parameters. The method segments the intensity image based, at least in part, on image data of the intensity image and the scanner acquisition parameters, to obtain the volume of interest.