David Monroe Bell - Palm Bay FL, US Timothy Raymond Culp - Melbourne FL, US John Bryan Daly - Melbourne Village FL, US Michael Hattermann - Melbourne FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G01M 17/00 G06F 19/00
US Classification:
701 35, 701 67, 701209, 340438, 396 20
Abstract:
The mobile data collection system includes a positioning system, such as a Global Positioning System (GPS) receiver and/or an Inertial Navigation System (INS), to generate position and time data. A down looking line scan camera for mounting on a vehicle, obtains a series of line scan images of a path, such as a road. A data collection controller is connected to the positioning system and the line scan camera to associate the line scan images with the corresponding position and time data. A database stores the line scan images and associated corresponding position and time data. An image processor identifies and marks features in the line scan images.
Medical Image Analysis System For Displaying Anatomical Images Subject To Deformation And Related Methods
David M. Bell - Palm Bay FL, US Lauren S. Burrell - West Melbourne FL, US Jeremy D. Jackson - Melbourne FL, US Timothy R. Culp - Viera FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
A medical image analysis system is for first and second anatomical image data of a same body area and subject to deformation. The medical image analysis system may include a processor cooperating with a memory to generate a deformation vector array between the first and second anatomical image data. The processor may also display, on a display, first and second anatomical images respectively based upon the first and second anatomical image data. A first cursor may be displayed on the first anatomical image, and a second cursor may be displayed on the second anatomical image based upon a mapping of the first cursor using the deformation vector array.
Medical Image Analysis System Using N-Way Belief Propagation For Anatomical Images Subject To Deformation And Related Methods
David M. Bell - Palm Bay FL, US Lauren S. Burrell - West Melbourne FL, US Jeremy D. Jackson - Melbourne FL, US Timothy R. Culp - Viera FL, US
Assignee:
Harris Corporation, Corporation of the State of Delaware - Melbourne FL
International Classification:
G06K 9/00 G09G 5/00
US Classification:
382128, 345634, 382294
Abstract:
A medical image analysis system is for first and second anatomical image data of a same body area and subject to deformation, with the first and second anatomical image data including respective first and second sets of voxels. The medical image analysis system may include a processor cooperating with a memory and configured to generate a plurality of cost arrays, with each cost array based upon probabilities of a subset of voxels of the second anatomical image data matching voxels of the first anatomical image data. The processor may also solve each cost array using three-dimensional, N-way belief propagation to thereby generate a deformation vector array between the first and second anatomical image data, where N is an integer greater than or equal to six.
Medical Image Analysis System For Anatomical Images Subject To Deformation And Related Methods
David M. Bell - Palm Bay FL, US Lauren S. Burrell - West Melbourne FL, US Jeremy D. Jackson - Melbourne FL, US Timothy R. Culp - Viera FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06K 9/00
US Classification:
382130
Abstract:
A medical image analysis system is for first and second anatomical image data of a same body area and subject to deformation. The first and second anatomical image data includes respective first and second sets of voxels. The medical image analysis system includes a processor cooperating with a memory to generate a respective reach array for each voxel of the second anatomical image data, with each reach array being a subset of contiguous voxels. The processor also generates a cost array for each reach array, with each cost array based upon probabilities of voxels of the reach array matching voxels of the first anatomical image data. The processor may also solve each cost array using belief propagation to thereby generate a deformation vector array between the first and second anatomical image data.
Method And Apparatus For Coordinate System Conversions
David M. Bell - Melbourne FL Dennis L. Maly - Melbourne Beach FL Timothy R. Culp - Rockledge FL
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06F 738
US Classification:
708442
Abstract:
A method for converting between source coordinates in a source coordinate system and target coordinates in a target coordinate system includes the step of defining a coordinate system conversion tree extending from a root coordinate system and branching to a plurality of other coordinate-systems including the source and target coordinate systems so that the source and target coordinate systems are connected to a common coordinate system other than the root coordinate system. Coordinate conversions are performed between the source and target coordinates along branches extending from the source coordinate system to the common coordinate system and to the target coordinate system without returning to the root coordinate system. Contextual data is associated with the coordinates to permit conversion to an adjacent coordinate system. Since coordinate conversions are performed with respect to a common coordinate system, a distributed framework of coordinate systems is provided for reliably converting coordinates between source and target coordinate systems.