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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
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.
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公开(公告)号：US11354834B2
公开(公告)日：2022-06-07
申请号：US16957372
申请日：2018-12-24
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Shekhar Dwivedi , Chuanyong Bai , Andriy Andreyev , Bin Zhang , Zhiqiang Hu
Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: performing iterative image reconstruction of imaging data acquired using an image acquisition device (12); selecting an update image from a plurality of update images produced by the iterative image reconstruction; processing the selected update image to generate a hot spot artifact map; and suppressing hot spots identified by the generated hot spot artifact map in a reconstructed image output by the iterative image reconstruction.
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13.发明授权公开(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
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.
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公开(公告)号：US10036817B2
公开(公告)日：2018-07-31
申请号：US15569209
申请日：2016-04-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Andriy Andreyev , Yang-Ming Zhu , Jinghan Ye , Xiyun Song
IPC: G01T1/29
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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公开(公告)号：US11961166B2
公开(公告)日：2024-04-16
申请号：US16468968
申请日：2017-12-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Andre Frank Salomon , Andreas Goedicke , Chuanyong Bai , Andriy Andreyev
CPC classification number: G06T11/006 , G01T1/2985 , G06T5/002 , G06T2207/10104 , G06T2207/20004 , G06T2207/20192 , G06T2210/41 , G06T2211/424
Abstract: Imaging data (20) are acquired by a PET scanner (6) or other imaging device. Iterative image reconstruction of the imaging data is performed to generate a reconstructed image (22). The iterative image reconstruction includes performing an update step (24) that includes an edge preserving prior (28) having a spatially varying edge preservation threshold (30) whose value at each image voxel depends on a noise metric (32) in a local neighborhood of the image voxel. The noise metric may be computed as an aggregation of the intensities of neighborhood image voxels of the reconstructed image in the local neighborhood of the image voxel. The edge preserving prior may be a Relative Difference Prior (RDP). For further noise suppression, during the iterative image reconstruction image values of image features of the reconstructed image that have spatial extent smaller than a threshold (38) may be reduced.
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Patent Agency Ranking
公开(公告)号：US11748598B2
公开(公告)日：2023-09-05
申请号：US16758000
申请日：2018-10-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Chuanyong Bai , Yang-Ming Zhu , Andriy Andreyev , Bin Zhang , Chi-Hua Tung
CPC classification number: A61B6/5205 , A61B6/037 , A61B6/5235 , A61B6/584 , G06N3/045 , G06N3/084
Abstract: An imaging method (100) includes: acquiring first training images of one or more imaging subjects using a first image acquisition device (12); acquiring second training images of the same one or more imaging subjects as the first training images using a second image acquisition device (14) of the same imaging modality as the first imaging device; and training a neural network (NN) (16) to transform the first training images into transformed first training images having a minimized value of a difference metric comparing the transformed first training images and the second training images.
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公开(公告)号：US11234667B2
公开(公告)日：2022-02-01
申请号：US16647326
申请日：2018-08-30
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Andriy Andreyev , Xiyun Song , Jinghan Ye , Chuanyong Bai , Zhiqiang Hu , Douglas B. McKnight
Abstract: A non-transitory storage medium storing instructions readable and executable by an imaging workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: receiving emission imaging data (22) from an image acquisition device (12) wherein the emission imaging data has been filtered using an acquisition energy passband (18); generating filtered imaging data by filtering the emission imaging data with a second energy passband (90) that is narrower than an acquisition energy passband; reconstructing the filtered imaging data to generate an intermediate image; estimating one or more scatter correction factors (SCFs) from the intermediate image; and reconstructing the emission imaging data corrected with the estimated SCFs to generate a reconstructed image.
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公开(公告)号：US11158094B2
公开(公告)日：2021-10-26
申请号：US16474576
申请日：2018-01-03
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Bin Zhang , Chuanyong Bai , Shushen Lin , Andriy Andreyev , Zhiqiang Hu
Abstract: A nuclear medicine image reconstruction method generates a reconstructed image (44) by performing iterative image in reconstruction (30, 130) on nuclear medicine imaging data (22). The iterative image reconstruction produces a sequence of update images (34, 36, 134, 136). During the iterative image reconstruction, a standardized uptake value (SUV) transform (40) is applied to convert an update image (34, 36) to an update SUV image (42, 46). The SUV transform scales values of voxels of the update image to SUV values using scaling factors including at least a body size metric and a dose metric. During the iterative image reconstruction, at least one parameter used in an image update of the iterative image reconstruction is adjusted using the update SUV image. For example, a parameter of a prior or filter (38) incorporated into an image reconstruction update step (32) or used in filtering of an update image (36) may be adjusted.
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公开(公告)号：US11049230B2
公开(公告)日：2021-06-29
申请号：US16325213
申请日：2017-08-22
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Chuanyong Bai , Andriy Andreyev , Bin Zhang , Yang-Ming Zhu , Xiyun Song , Jinghan Ye , Zhiqiang Hu
Abstract: Image processing performed by a computer (22) includes iterative image reconstruction or refinement (26, 56) that produces a series of update images ending in an iteratively reconstructed or refined image. A difference image (34, 64) is computed between a first update image (30, 60) and a second update image (32, 62) of the series. The difference image is converted to a feature image (40) and is used in the iterative processing (26, 56) or in post-processing (44) performed on the iteratively reconstructed or refined images or images from different reconstruction or refinement techniques. In another embodiment, first and second image reconstructions (81, 83) are performed to generate respective first and second reconstructed images (80, 82). A difference image (84) is computed between two images each selected from the group: the first reconstructed image, an update image of the first reconstruction, the second reconstructed image, and an update image of the second reconstruction. A feature image is generated from the difference image and used to combine the first and second reconstructed images.
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20.发明授权公开(公告)号：US11009615B2
公开(公告)日：2021-05-18
申请号：US16470730
申请日：2017-12-18
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Chuanyong Bai , Andriy Andreyev , Andre Frank Salomon , Andreas Goedicke , Jinghan Ye , Yu-Lung Hsieh , Bin Zhang , Xiyun Song , Manoj Narayanan , Zhiqiang Hu
Abstract: A time of flight (TOF) positron emission tomography (PET) image (38) is generated from TOF PET imaging data (10) acquired of a subject using a TOF PET imaging data acquisition device (6). Iterative image reconstruction (30) of the TOF PET imaging data is performed with TOF localization of counts along respective lines of response (LORs) to iteratively update a reconstructed image (32). Values for at least one regularization or filtering parameter are assigned to the TOF PET imaging data or to voxels of the reconstructed image based on an estimated TOF localization resolution for the TOF PET imaging data or voxels. Regularization (34) or filtering (36) of the reconstructed image is performed using the assigned values for the at least one regularization or filtering parameter. In some embodiments, the varying TOF localization resolution for the TOF PET imaging data or voxels is estimated based on related acquisition characteristics such as count rates or operating temperature of the detectors.
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