AI-based medical imaging analysis of photon counting data
AssigneeSiemens Healthineers AG
InventorsMehmet Akif Gulsun, Puneet Sharma, Max Schöbinger
Life of this patent
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Abstract
Systems and methods for performing a medical imaging analysis task from PCCT (photon counting computed tomography) imaging data are provided. PCCT imaging data acquired from a PCCT imaging device is received. A plurality of PCCT virtual images is generated from the PCCT imaging data. A plurality of medical imaging analysis sub-tasks is performed based on the plurality of PCCT virtual images using a plurality of machine learning based networks. Results of the medical imaging analysis sub-tasks are combined to generate results of a medical imaging analysis task. The results of the medical imaging analysis task are output.
Claims14
A computer-implemented method comprising:
- receiving PCCT (photon counting computed tomography) imaging data acquired from a PCCT imaging device;
- generating a plurality of PCCT virtual images based on weighting and combining different energy bins available in the PCCT imaging data;
- performing a plurality of medical imaging analysis sub-tasks, wherein each of the plurality of medical imaging analysis sub-tasks is performed based on one or more different PCCT virtual images of the plurality of PCCT virtual images using a different machine learning based network of a plurality of machine learning based networks;
- combining results of the medical imaging analysis sub-tasks based on a context based weighting of the results of the medical imaging analysis sub-tasks to generate results of a medical imaging analysis task;
- and
- outputting the results of the medical imaging analysis task.
An apparatus comprising:
- means for receiving PCCT (photon counting computed tomography) imaging data acquired from a PCCT imaging device;
- means for generating a plurality of PCCT virtual images based on weighting and combining different energy bins available in the PCCT imaging data;
- means for performing a plurality of medical imaging analysis sub-tasks, wherein each of the plurality of medical imaging analysis sub-tasks is performed based on one or more different PCCT virtual images of the plurality of PCCT virtual images using a different machine learning based network of a plurality of machine learning based networks;
- means for combining results of the medical imaging analysis sub-tasks based on a context based weighting of the results of the medical imaging analysis sub-tasks to generate results of a medical imaging analysis task;
- and
- means for outputting the results of the medical imaging analysis task.
A non-transitory computer readable medium storing computer program instructions, the computer program instructions when executed by a processor cause the processor to perform operations comprising:
- receiving PCCT (photon counting computed tomography) imaging data acquired from a PCCT imaging device;
- generating a plurality of PCCT virtual images based on weighting and combining different energy bins available in the PCCT imaging data;
- performing a plurality of medical imaging analysis sub-tasks, wherein each of the plurality of medical imaging analysis sub-tasks is performed based on one or more different PCCT virtual images of the plurality of PCCT virtual images using a different machine learning based network of a plurality of machine learning based networks;
- combining results of the medical imaging analysis sub-tasks based on a context based weighting of the results of the medical imaging analysis sub-tasks to generate results of a medical imaging analysis task;
- and
- outputting the results of the medical imaging analysis task.
Dependencies are inferred from the claim text.