Dead pixel correction for digital PET reconstruction

    公开(公告)号:US10852448B2

    公开(公告)日:2020-12-01

    申请号:US16469605

    申请日:2017-12-06

    Abstract: A PET detector array (8) comprising detector pixels acquires PET detection counts along lines of response (LORs). The counts are reconstructed to generate a reconstructed PET image (36, 46). The reconstructing is corrected for missing LORs which are missing due to dead detector pixels of the PET detector array. The correction may be by estimating counts along the missing LORs (60) by interpolating counts along LORs (66) neighboring the missing LORs. The interpolation may be iterative to handle contiguous groups of missing detector pixels. The correction may be by computing a sensitivity matrix having matrix elements corresponding to image elements (80, 82) of the reconstructed PET image. In this case, each matrix element is computed as a summation over all LORs intersecting the corresponding image element excepting the missing LORs. The computed sensitivity matrix is used in the reconstructing.

    Pet detector timing calibration
    12.
    发明授权

    公开(公告)号:US10004472B2

    公开(公告)日:2018-06-26

    申请号:US15520898

    申请日:2015-10-15

    CPC classification number: A61B6/583 A61B6/037 A61B6/4266 G01T1/2985

    Abstract: A diagnostic imaging system includes a plurality of radiation detectors (20) configured to detect radiation events emanating from an imaging region. The system includes a calibration phantom (14) configured to be disposed in the imaging region spanning substantially an entire field of view and to generate radiation event pairs that define lines-of-response, wherein the calibration phantom is thin such that each LOR intersects the calibration phantom along its length, the thickness of the phantom being smaller than the length of the LORs. A calibration processor (24) receives input of the radiation detectors and calculates an incidence angle independent crystal delay Ti for each detector. The calibration processor (24) constructs a first look-up table for the timing correction of each LOR and a second look-up table for the angle depth of interaction correction for each crystal by combining Ti and ηi.

    CLINICALLY DRIVEN IMAGE FUSION
    14.
    发明申请
    CLINICALLY DRIVEN IMAGE FUSION 有权
    临床驱动图像融合

    公开(公告)号:US20150003708A1

    公开(公告)日:2015-01-01

    申请号:US14375176

    申请日:2013-01-28

    Abstract: A medical imaging system includes a data store (16) of re-construction procedures, a selector (24), a reconstructor (14), a fuser (28), and a display (22). The data store (16) of reconstruction procedures identifies a plurality of reconstruction procedures. The selector (24) selects at least two reconstruction procedures from the data store of reconstruction procedures based on a received input, each reconstruction procedure optimized for one or more image characteristics. The reconstructor (14) concurrently performs the selected at least two reconstruction procedures, each reconstruction procedure generates at least one image (26) from the at least one data store of imaging data (12). The fuser (28) fuses the at least two generated medical images to create a medical diagnostic image which includes characteristics from each generated image (26). The display (22) displays the medical diagnostic image.

    Abstract translation: 医疗成像系统包括重建程序的数据存储器(16),选择器(24),重建器(14),定影器(28)和显示器(22)。 重建程序的数据存储(16)识别多个重建程序。 选择器(24)基于接收到的输入,从重建程序的数据存储区中选择至少两个重建程序,每个重建程序针对一个或多个图像特征优化。 重构器(14)同时执行所选择的至少两个重建过程,每个重建过程从成像数据(12)的至少一个数据存储区生成至少一个图像(26)。 定影器(28)使至少两个生成的医学图像融合以创建包括来自每个生成的图像(26)的特征的医学诊断图像。 显示器(22)显示医疗诊断图像。

    Edge preserving penalized reconstruction for step-and-shoot and motion compensated positron emission tomography (PET) studies

    公开(公告)号:US12131410B2

    公开(公告)日:2024-10-29

    申请号:US17293958

    申请日:2019-11-15

    CPC classification number: G06T11/008 A61B6/037 G06T11/006 G06T2211/424

    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 imaging method (100). The method includes: receiving imaging data on a frame by frame basis for frames along an axial direction with neighboring frames overlapping along the axial direction wherein the frames include at least a volume (k) and a succeeding volume (k+1) at least partially overlapping the volume (k) along the axial direction; and generating an image of the volume (k) using an iterative image reconstruction process in which an iteration of the iterative image reconstruction process includes: computing a local penalty function for suppressing noise over the volume (k) including reducing the value of the local penalty function in an overlap region; generating an update image of the volume (k) using imaging data from the volume (k) and further using the local penalty function.

    Correction method for quantification accuracy improvement in list mode reconstruction

    公开(公告)号:US11428829B2

    公开(公告)日:2022-08-30

    申请号:US16963320

    申请日:2019-01-30

    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.

    PET random coincidence correction
    18.
    发明授权

    公开(公告)号:US10127690B2

    公开(公告)日:2018-11-13

    申请号:US15304538

    申请日:2015-04-23

    Abstract: A positron emission tomography (PET) imaging system (10) includes a singles unit (24), a delay unit (26), a scaling unit (28), and a reconstruction unit (30). The singles unit (24) is configured to generate a correction sinogram of random coincidences defined by a coincidence time window tw and a time period t based on rij=2 t si sj where rij is an estimate of the random coincidences in the time period t between singles at detector locations si and sj. The delay unit (26) is configured to determine delay coincidences in the time period t defined by a delay coincidence time window of a paired coincidences including tw to 2 tw. The scaling unit (28) is configured to scale the correction sinogram of random coincidences based on the delay coincidences. The reconstruction unit (30) is configured to iteratively reconstruct one or more images based on the scaled random sinogram and a prompt sinogram for the time period t.

    Solving outside-field of view scatter correction problem in positron emission tomography via digital experimentation

    公开(公告)号:US10036817B2

    公开(公告)日:2018-07-31

    申请号:US15569209

    申请日:2016-04-25

    CPC classification number: G01T1/2985 G01T1/2992

    Abstract: Method and apparatus are disclosed for generating a scatter-corrected image from positron emission tomography (PET) or other radioemission imaging data (20) acquired of an object (12) in a field of view (14). A background portion (26B) of the PET imaging data is identified corresponding to a background region (14B) of the FOV that is outside of the object. An outside-FOV activity estimate (40) for at least one spatial region outside of the FOV and into which the object extends is adjusted (e.g. iterative or several randomly selected estimates) to optimize a simulated scatter distribution for the combination of the PET imaging data and the outside FOV activity estimate to match the background portion (26B) of the PET imaging data. The PET imaging data are reconstructed to generate a scatter-corrected PET image of the object in the FOV using the optimized simulated scatter distribution.

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