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    Correction method for quantification accuracy improvement in list mode reconstruction
    1.
    发明授权
    Correction method for quantification accuracy improvement in list mode reconstruction 有权

    公开(公告)号：US11428829B2

    公开(公告)日：2022-08-30

    申请号：US16963320

    申请日：2019-01-30

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Xiyun Song ,  Chuanyong Bai ,  Jinghan Ye ,  Andriy Andreyev ,  Zhiqiang Hu

    IPC: G01T1/29 ,  G01T1/161 ,  G01T1/17

    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100) to reconstruct list mode data acquired over a frame acquisition time using a plurality of radiation detectors (17) in which the events of the list mode data is timestamped. The method includes: for the sub-frame bins of a plurality of sub-frame bins into which the frame acquisition time is divided, determining a sub-frame singles rates map for the plurality of radiation detectors from the list mode data whose time stamps reside in the sub-frame bin; determining a singles rate for the singles events of the list mode data using the sub-frame singles rates maps wherein the singles rates for the singles events are determined at a temporal resolution that is finer than the frame acquisition time; determining correction factors for the list mode data using the determined singles rates for the singles events of the list mode data; and reconstructing the list mode data of the frame acquisition time using the determined correction factors to generate a reconstructed image for the frame acquisition time.

    Iterative image reconstruction with dynamic suppression of formation of noise-induced artifacts
    3.
    发明授权
    Iterative image reconstruction with dynamic suppression of formation of noise-induced artifacts 有权

    公开(公告)号：US11210820B2

    公开(公告)日：2021-12-28

    申请号：US16336562

    申请日：2017-09-25

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Andriy Andreyev ,  Chuanyong Bai ,  Bin Zhang ,  Faguo Yang ,  Shekhar Dwivedi ,  Zhiqiang Hu

    IPC: G06T7/136 ,  G06T11/00

    Abstract: Iterative reconstruction (20) of imaging data is performed to generate a sequence of update images (22) terminating at a reconstructed image. During the iterative reconstruction, at least one of an update image and a parameter of the iterative reconstruction is adjusted using an adjustment process separate from the iterative reconstruction. In some embodiments using an edge-preserving regularization prior (26), the adjustment process (30) adjusts an edge preservation threshold to reduce gradient steepness above which edge preservation applies for later iterations compared with earlier iterations. In some embodiments, the adjustment process includes determining (36, 38) for each pixel, voxel, or region of a current update image whether its evolution prior to the current update image 22) satisfies an artifact feature criterion. A local noise suppression operation (40) is performed on the pixel, voxel, or region if the evolution satisfies the artifact feature criterion and is not performed otherwise.

    Differentiating tissues with MR imaging
    6.
    发明授权
    Differentiating tissues with MR imaging 有权

    公开(公告)号：US10215820B2

    公开(公告)日：2019-02-26

    申请号：US14905880

    申请日：2014-07-02

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Lingzhi Hu ,  Christian Stehning ,  Zhiqiang Hu ,  Lingxiong Shao

    IPC: G01V3/00 ,  G01R33/48 ,  G01R33/56 ,  G01R33/58

    Abstract: A medical imaging system (10) includes a magnetic resonance (MR) scanner (12), and a MR reconstruction unit (34). The MR scanner (12) applies a multi-echo ultra-short TE (UTE) with mDixon pulse sequence to a subject (16) and receives MR data (33) representing at least a portion of the subject. The MR reconstruction unit (34) reconstructs a Free Induction Decay (FID) image (120), and one or more echo magnitude images (122), one or more phase images (39), an in-phase image (39), a water image (39), and a fat image (39) from the received MR data (33).

    Heart segmentation methodology for cardiac motion correction
    9.
    发明授权
    Heart segmentation methodology for cardiac motion correction 有权

    公开(公告)号：US11138739B2

    公开(公告)日：2021-10-05

    申请号：US16349807

    申请日：2017-11-20

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Shekhar Dwivedi ,  Chuanyong Bai ,  Zhiqiang Hu

    IPC: G06T7/12 ,  G06T7/149

    Abstract: A machine learning guided image segmentation process is performed by an electronic processor (10). Image segmentation (22) is performed to generate an initial segmented representation (50) of an anatomical structure in the medical image. Parameters of a geometric shape are fitted (52) to the anatomical structure in the medical image to produce initial fitted shape parameters (54). A classification is assigned for the anatomical structure in the medical image using at least one classifier (60) operating on the initial fitted shape parameters and the initial segmented representation of the anatomical structure. A final segmented representation (72) of the anatomical structure in the medical image is generated by operations including repeating (70) the image segmentation using the classification as prior knowledge. In illustrative embodiments, the anatomical structure is a heart and the geometric shape is an ellipsoid.

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