Abstract: Methods, systems, and non-transitory machine-readable storage medium for volumetric segmentation of structures in planar medical images. The method includes, for example, receiving a plurality of planar medical images including a structure and displaying a first planar medical image. The method also includes determining and displaying a first two dimensional (2D) contour of the structure using a first single straight line segment between user-selected first and third locations in the first planar medical image. The method further includes determining and displaying a second 2D contour of the structure using a second single straight line segment between user-selected first and second locations in the first planar medical image. The method also includes determining a three dimensional (3D) contour of the structure using the second single straight line segment. The method further includes determining a long axis of the structure using the 3D contour and outputting a dimension of the long axis.

Abstract: A method for volumetric segmentation in a plurality of planar medical images includes, receiving, at an electronic processor, the plurality of planar medical images. A boundary of a candidate structure in the plurality of medical images is generated using a segmentation model. A first planar medical image from the plurality of planar medical images is displayed on a display. A user input is received using a user interface indicating a region in the first planar medical image. A first planar contour of the candidate structure is generated. The region is compared to the boundary. Responsive to the region being at least partially within the boundary, the first planar medical image is re-displayed on the display showing the first planar contour of the structure, and a finding record for the candidate structure including the boundary is generated.

Abstract: Methods, systems, and non-transitory machine-readable storage medium for volumetric segmentation of structures in planar medical images. The method includes, for example, receiving a plurality of planar medical images including a structure and displaying a first planar medical image. The method also includes determining and displaying a first two dimensional (2D) contour of the structure using a first single straight line segment between user-selected first and third locations in the first planar medical image. The method further includes determining and displaying a second 2D contour of the structure using a second single straight line segment between user-selected first and second locations in the first planar medical image. The method also includes determining a three dimensional (3D) contour of the structure using the second single straight line segment. The method further includes determining a long axis of the structure using the 3D contour and outputting a dimension of the long axis.

Abstract: Methods and systems for volumetric segmentation of structures in planar medical images. One example method includes displaying a first planar medical image. The method further includes receiving a user input indicating a line segment in the first planar medical image. The method also includes determining an inclusion region using the line segment. The inclusion region consists of a portion of the structure. The method further includes determining a containment region using the line segment. The containment region includes the structure. The method also includes determining a background region using the line segment. The background region excludes the structure. The method further includes determining a three dimensional (3D) contour of the structure using the inclusion region, the containment region, and the background region. The method also includes determining a long axis of the structure using the 3D contour. The method further includes outputting a dimension of the long axis.

Abstract: A method for volumetric segmentation in a plurality of planar medical images includes, receiving, at an electronic processor, the plurality of planar medical images. A boundary of a candidate structure in the plurality of medical images is generated using a segmentation model. A first planar medical image from the plurality of planar medical images is displayed on a display. A user input is received using a user interface indicating a region in the first planar medical image. A first planar contour of the candidate structure is generated. The region is compared to the boundary. Responsive to the region being at least partially within the boundary, the first planar medical image is re-displayed on the display showing the first planar contour of the structure, and a finding record for the candidate structure including the boundary is generated.

Abstract: Methods and systems for volumetric segmentation of structures in planar medical images. One example method includes displaying a first planar medical image. The method further includes receiving a user input indicating a line segment in the first planar medical image. The method also includes determining an inclusion region using the line segment. The inclusion region consists of a portion of the structure. The method further includes determining a containment region using the line segment. The containment region includes the structure. The method also includes determining a background region using the line segment. The background region excludes the structure. The method further includes determining a three dimensional (3D) contour of the structure using the inclusion region, the containment region, and the background region. The method also includes determining a long axis of the structure using the 3D contour. The method further includes outputting a dimension of the long axis.

Abstract: A computer-aided detection system for evaluating tissue based on a series of timed images acquired both before and after a contrast agent is administered performs a temporal analysis of the tissue and then a spatial analysis in which the tissue is categorized. After the temporal and spatial analysis is performed, the results can be displayed. The displayed results can include both tissue characterization results, underlying curves used to determine the characterization, and confidence data regarding how good the characterization is expected to be. The confidence data can be provided, for example, by using variations in color schemes, displaying numerical confidence levels, or providing graphical features such as piecewise linear models.

Abstract: Certain embodiments of the present invention provide systems and methods for portable display of relevant information for healthcare applications. Certain embodiments include a portable computing device having a plurality of records including icons, waveforms, and/or parameters related to medical cases. In certain embodiments, medical images are reduced to icons for display with related parameters and/or waveforms, for example. In certain embodiments, the device computes a correlation between at least two of the plurality of records. In certain embodiments, the device sorts the plurality of records based at least in part on relevance. In certain embodiments, correlation is computed based on the parameters, the waveforms, and/or image content of the icons. In certain embodiments, the device facilitates viewing and manipulation of the correlated records. In certain embodiments, a support module is configured to process the plurality of records to generate a relevant set of records for access via the device.

Abstract: Methods and system for segmenting image data are provided. The method includes fitting a topological atlas to acquired image data and generating spatially varying priors based on the fitted topological atlas. The method further includes segmenting the acquired image data based on the spatially varying priors.

Abstract: A method for displaying an image including a plurality of pixels includes defining a plurality of pixel groups for the image. Each pixel group includes at least one pixel. A pixel chart is generated for each pixel group. The pixel chart shows underlying data associated with the pixel group. The pixel chart is superimposed on the image over its associated pixel group. A system includes a display unit, a data collection unit adapted to collect underlying data, and a data processing unit. The data processing unit is adapted to generate an image including a plurality of pixels for displaying on the display unit based on the underlying data, define a plurality of pixel groups for the image, each pixel group including at least one pixel, generate a pixel chart for each pixel group, the pixel chart showing the underlying data associated with the pixel group, and superimpose the pixel chart on the image over its associated pixel group.