Methods and apparatus for anomaly detection
AssigneeGE Medical Systems Global Technology Company, LLC
InventorsStephen W. Metz, Carson Hale Thomas, Gopal B. Avinash, Jiang Hsieh
Life of this patent
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Abstract
A method for detecting an anomaly includes performing a computed tomography (CT) scout scan to obtain data, and supplying the obtained data to a radiographic computer aided detection (CAD) algorithm.
Claims24
A method for detecting an anomaly, said method comprising:
- performing a computed tomography (CT) scout scan to obtain data;
- and
- supplying the obtained data to a radiographic computer aided detection (CAD) algorithm.
A method for detecting an anomaly, said method comprising:
- performing a computed tomography (CT) volumetric scan to acquire CT data;
- generating at least one Digitally Reconstructed Radiograph (DRR) from the acquired CT data;
- providing the DRR to a radiographic computer aided detection (CAD) algorithm;
- determining a confidence level of the CAD algorithm;
- comparing the determined confidence level to a threshold;
- performing a second volumetric CT scan when the determined confidence level is less than the threshold;
- generating at least one Digitally Reconstructed Radiograph (DRR) from the second volumetric CT scan;
- and
- providing the DRR from the second volumetric CT scan to the radiographic CAD algorithm.
A Computed Tomography system comprising:
- an x-ray source;
- an x-ray detector;
- and
- a computer operationally coupled to said x-ray source and said detector, said computer configured to:
- execute a radiographic Computer Aided Detection (CAD) algorithm on Digitally Reconstructed Radiograph (DRR) data derived from a first CT scan of an object;
- perform a scout scan of the object using said source and detector to generate CT scout scan data;
- and
- execute the radiographic CAD algorithm on the generated CT scout scan data.
A computer readable medium encoded with a program configured to instruct a computer to perform a method for executing a radiographic Computer Aided Detection (CAD) algorithm on Digitally Reconstructed Radiograph (DRR) data derived from a CT scan of an object, said method comprising;
- obtaining an x-ray projection image;
- supplying the obtained x-ray projection image to a computer aided detection (CAD) algorithm;
- displaying results of the CAD algorithm on at least one of a Computed Tomography (CT) scout image and a Digitally Reconstructed Radiograph (DRR);
- supplying the CT scout image to the computer aided detection (CAD) algorithm;
- registering results from the CAD algorithm regarding the CT scout image with results from the CAD algorithm regarding the x-ray projection image;
- and
- displaying the registered results regarding both the CT scout image and the x-ray projection image in a combined display.
A method for detecting an anomaly, said method comprising:
- performing a volumetric CT scan of an object;
- generating at least one digitally reconstructed radiograph (DRR) from the volumetric CT scan;
- and
- supplying the DRR to a radiographic computer aided detection (CAD) algorithm;
- determining a confidence level of the CAD algorithm;
- iteratively performing a volumetric CT scan, generating at least one DRR, providing the DRR to the radiographic CAD algorithm, and determining a confidence level of the results until the confidence level exceeds a threshold.
A method for detecting an anomaly, said method comprising:
- performing a volumetric CT scan of an object to obtain CT data;
- obtaining an x-ray projection of the object;
- supplying the CT data to a CAD algorithm to obtain CT CAD results;
- supplying the x-ray projection to a CAD algorithm to obtain x-ray CAD results;
- and
- displaying the CT CAD results with the x-ray CAD results in a combined display.
A computer readable medium embedded with a program configured to instruct a computer to:
- receive CT data regarding a volumetric CT scan of an object;
- receive an x-ray projection of the object;
- perform a CAD analysis of the received CT data to generate CT CAD results;
- perform a CAD analysis of the received x-ray projection to generate x-ray CAD results;
- and
- combine the CT CAD results with the x-ray CAD results.
Dependencies are inferred from the claim text.