Data Driven Reconstruction in Emission Tomography

    公开(公告)号:US20230036485A1

    公开(公告)日:2023-02-02

    申请号:US17937468

    申请日:2022-10-03

    IPC分类号: G06T11/00 G06T11/20 G06T7/11

    摘要: For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

    Attenuation correction-based weighting for tomographic inconsistency detection

    公开(公告)号:US11701067B2

    公开(公告)日:2023-07-18

    申请号:US17447118

    申请日:2021-09-08

    IPC分类号: A61B6/03 A61B6/00

    摘要: A system and method includes determination of a region of interest of an imaging subject, generation of a first linear attenuation coefficient map of the imaging subject, the first linear attenuation coefficient map generated to associate voxels of the region of interest of the imaging subject with greater linear attenuation coefficients than voxels of other regions of the imaging subject, attenuation-correction of a plurality of tomographic frames of the imaging subject based on the first linear attenuation coefficient map to generate a second plurality of tomographic frames, and determination of tomographic inconsistency of the second plurality of tomographic frames. Some aspects further include generation of a second linear attenuation coefficient map of the imaging subject, attenuation-correction of the plurality of tomographic frames based on the second linear attenuation coefficient map to generate a third plurality of tomographic frames, and reconstruction of a three-dimensional image based on the third plurality of tomographic frames and the determined tomographic inconsistency.

    Data driven reconstruction in emission tomography

    公开(公告)号:US11494955B2

    公开(公告)日:2022-11-08

    申请号:US16946212

    申请日:2020-06-10

    IPC分类号: G06T11/00 G06T11/20 G06T7/11

    摘要: For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

    Data Driven Reconstruction in Emission Tomography

    公开(公告)号:US20210390742A1

    公开(公告)日:2021-12-16

    申请号:US16946212

    申请日:2020-06-10

    IPC分类号: G06T11/00 G06T11/20 G06T7/11

    摘要: For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

    Evaluation of Image Formation System Components

    公开(公告)号:US20210312675A1

    公开(公告)日:2021-10-07

    申请号:US16838396

    申请日:2020-04-02

    IPC分类号: G06T11/00 G06T7/00

    摘要: A system and method include acquisition of a plurality of sets of images which meet acceptance criteria of an imaging task, each set of images acquired using a respective instance of a type of imaging component, acquisition of a test image using a test instance of the type of imaging component, presentation of a plurality of groups of images, each of the groups of images including the test image and a respective one or more images of the plurality of sets of images, reception, for each group of images, of an indication from an observer of a ranking of the test image of the group with respect to the respective one or more images of the group, and determination of a quality of the test instance of the type of imaging component based on the indications.