System and method for hybrid local tomography image reconstruction
AssigneesUniversity of Central Florida Research Foundation, Inc., iTomography Corporation
InventorsAlexander Katsevich, Michael Frenkel
Life of this patent
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Abstract
Methods, processes and systems of image reconstruction utilizing a hybrid local tomography (HLT) methodology for reconstructing internal body images in medical applications, and the like. The system and method of the present invention provides an image with emphasized edges, and the image provides estimations of the attenuation coefficient inside the object being scanned.
Claims39
A Hybrid Local Tomography (HLT) method for reconstructing an image of a region of interest (ROI) of an object, the image including values of the attenuation coefficient of the ROI, the method comprising:
- scanning an object to collect cone-beam (CB) projection data of the object, the CB projection data provided to a computer by at least one detector;
- computing a conventional image of a region of interest (ROI) using the CB projection data, the conventional image of the ROI comprising values of the attenuation coefficient of the ROI;
- computing a high-pass filtered LT image of the ROI using the CB projection data, the high-pass filtered LT image of the ROI comprising emphasized edges of the ROI;
- identifying a first balancing constant or function;
- and
- computing a summation of the conventional image of the ROI and a product of the first balancing constant or function and the high-pass filtered LT image of the ROI to reconstruct a first image of the ROI of the object, the first image of the ROI including the values of the attenuation coefficient of the ROI.
A Hybrid Local Tomography (HLT) system for reconstructing an image of a region of interest (ROI) of an object, the image including values of the attenuation coefficient of the ROI, the system comprising:
- a scanner comprising at least one detector, the scanner for scanning an object to collect cone-beam (CB) projection data of the object;
- a computer coupled to the scanner, the computer for receiving the CB projection data from the scanner and the computer configured for;
- computing a conventional image of a region of interest (ROI) using the CB projection data, the conventional image of the ROI comprising the distribution of the attenuation coefficient of the ROI;
- computing a high-pass filtered LT image of the ROI using the CB projection data, the high-pass filtered LT image of the ROI comprising emphasized edges of the ROI;
- identifying a first balancing constant or function;
- and
- computing a summation of the conventional image of the ROI and a product of the first balancing constant or function and the high-pass filtered LT image of the ROI to reconstruct a first image of the ROI of the object, the first image of the ROI including values of the attenuation coefficient of the ROI.
A computer-readable non-transitory storage medium storing a program causing a computer program to execute a method for reconstructing a Hybrid Local Tomography (HLT) image from cone beam (CB) projection data, the method comprising:
- scanning an object to collect cone-beam (CB) projection data of the object, the CB projection data provided to a computer by at least one detector;
- computing a conventional image of a region of interest (ROI) using the CB projection data, the conventional image of the ROI comprising the distribution of the attenuation coefficient of the ROI;
- computing a high-pass filtered LT image of the ROI using the CB projection data, the high-pass filtered LT image of the ROI comprising emphasized edges of the ROI;
- identifying a first balancing constant or function;
- and
- computing a summation of the conventional image of the ROI and a product of the first balancing constant or function and the high-pass filtered LT image of the ROI to reconstruct a first image of the ROI of the object, the first image of the ROI including the distribution of the attenuation coefficient of the ROI.
Dependencies are inferred from the claim text.