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 system for storing, communicating, and displaying image or graphic data over a network. The system includes a client that is connectable to a server via a network. The server is configured to store an image file having image data, where the structure of the image file preferably includes submatrices. The submatrices allow the system to render the images using an adaptive rendering technique.

Abstract: A system for storing, communicating, and displaying image or graphic data over a network. The system includes a client that is connectable to a server via a network. The server is configured to store an image file having image data, where the structure of the image file preferably includes submatrices. The submatrices allow the system to render the images using an adaptive rendering technique.