Abstract: A system and method for grouping objects (annotations or other marking) from multiple image slices into a single object, referred to as a grouped finding is provided, by grouping multiple slices as one single finding. Additionally, user interface interactions and controls are provided to efficiently navigate and interact with the grouped findings.

Abstract: A process for alerting a user of no results or no abnormalities with respect to a stack of medical images is described. The process includes determining if a stack of medical images has been analyzed for findings (e.g., of areas of interest in medical images). In accordance with a determination that the stack of medical images has been analyzed for findings and no findings have been found, displaying an indication that the stack of medical images has no findings, and in accordance with a determination that the stack of medical images has findings, displaying an indication that the stack of medical images has findings (and in some examples, indicating the number of findings in the stack of images).

Abstract: A process for key image updating multiple image stacks includes obtaining a first key image list comprising at least one first key image corresponding to a first stack of medical images and obtaining a second key image list comprising at least one second key image corresponding to a second stack of medical images. The first key images are then mapped to the corresponding second key images such that in response to selection of one of the first key images of the first stack the process can map and display the selection of the first key image and the corresponding second key image of the second stack of medical images. In some examples, more than two stacks (e.g., 3 or more) of medical images can be mapped or synchronized in this fashion.

Abstract: Methods and systems related to dynamic visualization of a representation of a three dimensional object are provided. In some embodiments, a computer system accesses a volumetric dataset representing the object. The computer system applies a set of one or more light rays/vectors to the volumetric data-set representing the object and generates a plurality of intermediate images, each intermediate image of the plurality of intermediate images corresponding to each of the one or more light vectors applied to the volumetric data-set representing an object. The computer system generates an accumulated image based on the plurality of intermediate images. The computer system determines whether a user has manipulated the accumulated image within a predetermined amount of time and in accordance with a determination that the user has manipulated the accumulated image within a predetermined amount of time, updates the accumulated image based on a user manipulation.

Abstract: A computer-implemented method, system, and computer readable medium are provided for displaying a set of multiple images, e.g., a set of medical image scans, associated with a particular patient and view, and presenting the images one at a time in sequence. For instance, presenting only one scan image at a time and allowing the user to adjust the “time,” effectively allowing the user to step backward or forward in time for the current view of a set of images. Such a method and system may allow the physician to more effectively view how the scan and/or anatomy changes over time compared to multiple side-by-side or top-to-bottom views of the same anatomy.

Abstract: Methods and systems related to image segmentation are disclosed. In some examples, a computer system obtains segmentation parameters based on a selection of a region of a displayed image. The selection of the region is associated with a select signal generated by an input device. In response to obtaining the segmentation parameters, the computer system processes the image based on the segmentation parameters. The computer system further adjusts the segmentation parameters based on one or more move signals generated by the input device. The move signal is associated with moving of a representation of the input device within the image. The computer system processes the image based on the one or more adjusted segmentation parameters and displays an image of the selected region based on the processing of the image using the adjusted segmentation parameters.

Abstract: Methods and systems related to dynamic visualization of a representation of a first three-dimensional (3D) object are provided. In some embodiments, a computer system receives a request for facilitating identification of the representation of the first 3D object based on a plurality of images. The plurality of images represents datasets associated with a series of slices of a second 3D object. The computer system identifies a current image of the plurality of images based on the request. The current image represents a dataset associated with a current slice of the series of slices. The computer system displays, in absence of additional user input, two or more images of the plurality of images to facilitate visualization of the representation of the first 3D object. The two or more images include the current image and one or more images representing datasets associated with neighboring slices of the current slice.

Abstract: Methods and systems related to variation assessment of a first 3D object are provided. In some embodiments, a computer system obtains a first dataset and a second dataset. The first dataset represents data associated with a first evaluation of the first 3D object and the second dataset represents data associated with a second evaluation of the first 3D object. The computer system determines a first metric based on the first dataset and a second metric based on the second dataset. The first and second metrics represent distributions of probabilities with respect to values associated with the characteristic of the first 3D object at the first and second evaluations, respectively. The computer system further provides, based on the first metric and the second metric, an assessment of the first 3D object variation between the first evaluation and the second evaluation.

Abstract: Processes and systems in computer enabled imaging for the mapping of volume rendering colors upon polygonal model objects applied to computer enabled volume rendering by means of mapping or encoding the color of volume rendering data upon polygonal model objects located inside volumetric data. Exemplary processes and systems including assigning the rendering result of voxels at or near the surface of the polygonal object.

Abstract: Processes and systems for computer enabled volume data rendering, and more particularly for volume rendering of multiple classificated volume datasets using an Interpolation-Classification (IC) order are provided. Further, an octree min/max can be used for volume rendering with the multiple classifications and at the same time applying the IC order to visualize the multiple classifications volume rendering.

Abstract: Processes and systems for computer enabled volume data rendering, and more particularly for mapping of volume rendering colors upon polygonal model objects applied to computer enabled volume rendering are described. In one example, the mapping or encoding of the color of volume rendering data upon polygonal model objects located inside volumetric data is achieved by assigning the rendering result of voxels near the surface of the polygonal object.

Abstract: Processes and systems for computer enabled volume data rendering, and more particularly for mapping of volume rendering colors upon polygonal model objects applied to computer enabled volume rendering are described. In one example, the mapping or encoding of the color of volume rendering data upon polygonal model objects located inside volumetric data is achieved by assigning the rendering result of voxels near the surface of the polygonal object.

Abstract: An adaptive image volume rendering system first fragments a 3-D dataset into multiple sub-volumes and constructs an octree structure, wherein each sub-volume is associated with one node on the octree. The system then establishes a 2-D image plane and selectively launches a plurality of rays towards the 3-D dataset, each ray adaptively interacting with a subset of the sub-volumes. The ray energy reflected by each sub-volume is estimated using a modified Phong illumination model, constituting a pixel value at the ray origin on the 2-D image plane. Finally, the system interpolates pixel values at a plurality of selected locations and generates a 2-D image of the 3-D dataset.

Abstract: The adaptive MIP ray casting system first fragments a 3-D dataset into multiple sub-volumes and constructs an octree data structure with each sub-volume being associated with one node of the octree data structure. The system then establishes a 2-D image plane and selectively launches a plurality of rays towards the 3-D dataset, each ray adaptively interacting with a subset of the sub-volumes and identifies the maximum data value along the ray path. The maximum data value is then converted into a pixel value on the 2-D image plane. Finally, the system interpolates pixel values at those locations where no pixel value is generated by ray casting and thereby generates a 2-D image of the 3-D dataset.

Abstract: An adaptive image volume rendering system first fragments a 3-D dataset into multiple sub-volumes and constructs an octree structure, wherein each sub-volume is associated with one node on the octree. The system then establishes a 2-D image plane and selectively launches a plurality of rays towards the 3-D dataset, each ray adaptively interacting with a subset of the sub-volumes. The ray energy reflected by each sub-volume is estimated using a modified Phong illumination model, constituting a pixel value at the ray origin on the 2-D image plane. Finally, the system interpolates pixel values at a plurality of selected locations and generates a 2-D image of the 3-D dataset.

Abstract: Method and apparatus in computer enabled imaging for user control of the type of lighting applied to computer enabled volume rendering by means of an extended transfer function, by adding to the transfer function an additional user controlled parameter which explicitly specifies the type of lighting which is to be applied for all correspondent sample values.

Abstract: An adaptive image volume rendering system first fragments a 3-D dataset into multiple sub-volumes and constructs an octree structure, wherein each sub-volume is associated with one node on the octree. The system then establishes a 2-D image plane and selectively launches a plurality of rays towards the 3-D dataset, each ray adaptively interacting with a subset of the sub-volumes. The ray energy reflected by each sub-volume is estimated using a modified Phong illumination model, constituting a pixel value at the ray origin on the 2-D image plane. Finally, the system interpolates pixel values at a plurality of selected locations and generates a 2-D image of the 3-D dataset.