Abstract: A medical image viewing system allows multiple person viewing of rendered medical images, the medical image viewing system. A medical image processing system receives medical image data and manipulates the medical image data to produce first rendered medical image data that includes the medical image data plus image manipulation results. A first client system receives the first rendered medical image data from the medical image processing system. The first client system displays to a first end user on the first client system, a first 3D medical image that is based on the first rendered medical image data. The first 3D medical image is displayed within an augmented reality environment or a virtual reality environment so that within the augmented reality environment or the virtual reality environment the first end user has a first viewer location and a first viewing angle of the first 3D medical image.

Abstract: A medical image viewing system allows multiple person viewing of rendered medical images, the medical image viewing system. A medical image processing system receives medical image data and manipulates the medical image data to produce first rendered medical image data that includes the medical image data plus image manipulation results. A first client system receives the first rendered medical image data from the medical image processing system. The first client system displays to a first end user on the first client system, a first 3D medical image that is based on the first rendered medical image data. The first 3D medical image is displayed within an augmented reality environment or a virtual reality environment so that within the augmented reality environment or the virtual reality environment the first end user has a first viewer location and a first viewing angle of the first 3D medical image.

Abstract: Automated three-dimensional (3D) printing work flow through a network is provided. A network server receives through the network a request to convert 3D segmented medical image data to information print-ready for printing on a 3D printer. The 3D segmented medical image data is converted to a converted data file in a medical image data file format that allows multiple sub-segmentation of a particular human anatomy or region of interest. The medical image data file format allows for storage of mask segmentation information. Identifying information, including patient information, is removed from metadata of the 3D segmented medical image data when converting to the converted data file.

Abstract: Automated three-dimensional (3D) printing work flow through a network is provided. A network server receives through the network a request to convert 3D segmented medical image data to information print-ready for printing on a 3D printer. The 3D segmented medical image data is converted to a converted data file in a medical image data file format that allows multiple sub-segmentation of a particular human anatomy or region of interest. The medical image data file format allows for storage of mask segmentation information. Identifying information, including patient information, is removed from metadata of the 3D segmented medical image data when converting to the converted data file.

Abstract: Multiple person viewing of rendered medical image is achieved by manipulating an image by the server to produce first rendered medical image data that includes the medical image data plus image manipulation results. A first 3-D medical image that is based on the first rendered medical image data is displayed within an augmented reality environment or a virtual reality environment so that the first end user has a first viewer location and a first viewing angle of the first 3-D medical image. A second 3-D medical image that is based on second rendered medical image data is displayed within the augmented reality environment or the virtual reality environment so that the second end user has at least one of a second viewer location and a second viewing angle that is different from at least one of the first viewer location and the first viewing angle of the first 3-D medical image.

Abstract: Multiple person viewing of rendered medical image is achieved by manipulating an image by the server to produce first rendered medical image data that includes the medical image data plus image manipulation results. A first 3-D medical image that is based on the first rendered medical image data is displayed within an augmented reality environment or a virtual reality environment so that the first end user has a first viewer location and a first viewing angle of the first 3-D medical image. A second 3-D medical image that is based on second rendered medical image data is displayed within the augmented reality environment or the virtual reality environment so that the second end user has at least one of a second viewer location and a second viewing angle that is different from at least one of the first viewer location and the first viewing angle of the first 3-D medical image.

Abstract: A work flow is provided through a network. A network server receives through the network a request to convert 3D segmented medical image data to information print-ready for printing on a 3D printer or rendered for viewing. Access to converted data is limited to one or more authorized users. The 3D segmented medical image data to a converted data file. The converted data file is in a medical image data file format that allows multiple sub-segmentation of a particular human anatomy or region of interest. The medical image data file format allows for storage of mask segmentation information, color palette, shadowing, transparency and opacity.

Abstract: A work flow is provided through a network. A network server receives through the network a request to convert 3D segmented medical image data to information print-ready for printing on a 3D printer or rendered for viewing. Access to converted data is limited to one or more authorized users. The 3D segmented medical image data to a converted data file. The converted data file is in a medical image data file format that allows multiple sub-segmentation of a particular human anatomy or region of interest. The medical image data file format allows for storage of mask segmentation information, color palette, shadowing, transparency and opacity.