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公开(公告)号：US11175418B2
公开(公告)日：2021-11-16
申请号：US16649416
申请日：2018-09-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Chuanyong Bai , Andriy Andreyev , Shushen Lin , Bin Zhang , Michael Allen Miller , Xiyun Song , Jinghan Ye , Shekhar Dwivedi , Zhiqiang Hu , Yu-Lung Hsieh , Ilya Brodskiy , Thomas Christopher Bulgrin , Yang-Ming Zhu , Douglas B. McKnight
Abstract: A non-transitory computer-readable medium storing instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform a quality control (QC) method (100). The method includes: receiving a current QC data set acquired by a pixelated detector (14) and one or more prior QC data sets acquired by the pixelated detector; determining stability levels of detector pixels (16) of the pixelated detector over time from the current QC data set and the one or more prior QC data sets; labeling a detector pixel of the pixelated detector as dead when the stability level determined for the detector pixel is outside of a stability threshold range; and displaying, on a display device (24) operatively connected with the workstation, an identification (28) of the detector pixels labelled as dead.
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公开(公告)号：US11354832B2
公开(公告)日：2022-06-07
申请号：US16609890
申请日：2018-05-01
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Chuanyong Bai , Andriy Andreyev , Xiyun Song , Jinghan Ye , Bin Zhang , Shekhar Dwivedi , Yanfei Mao , Zhiqiang Hu
Abstract: A non-transitory computer readable medium storing instructions readable and executable by an imaging workstation (14) including at least one electronic processor (16) to perform a dataset generation method (100) operating on emission imaging data acquired of a patient for one or more axial frames at a corresponding one or more bed positions, the method comprising: (a) identifying a frame of interest from the one or more axial frames; (b) generating simulated lesion data by simulating emission imaging data for the frame of interest of at least one simulated lesion placed in the frame of interest; (c) generating simulated frame emission imaging data by simulating emission imaging data for the frame of interest of the patient; (d) determining a normalization factor comprising a ratio of the value of a quantitative metric for the simulated patient data and the value of the quantitative metric for the emission imaging data acquired of the same patient for the frame of interest; and (e) generating a hybrid data set comprising the emission imaging data acquired of the patient for the one or more axial frames at the corresponding one or more bed positions with the frame of interest replaced by a combination of the simulated lesion data scaled by the normalization factor and the emission imaging data acquired of the patient for the frame of interest.
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公开(公告)号：US11282242B2
公开(公告)日：2022-03-22
申请号：US16963343
申请日：2019-01-24
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Jinghan Ye , Xiyun Song , Chuanyong Bai , Andriy Andreyev , Chi-Hua Tung , Zhiqiang Hu
IPC: G06T11/00
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). The method includes: generating, from received imaging data, a plurality of intermediate images reconstructed without scatter correction from data partitioned into different energy windows; generating a fraction of true counts and a fraction of scatter events in the generated intermediate images; generating a final reconstructed image from the intermediate images, the fraction of true counts in the intermediate images, and the fraction of scatter counts in the intermediate images; and at least one of controlling the non-transitory computer readable medium to store the final image and control a display device (24) to display the final image.
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公开(公告)号：US10993103B2
公开(公告)日：2021-04-27
申请号：US16474113
申请日：2018-01-02
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Chuanyong Bai , Andriy Andreyev , Bin Zhang , Xiyun Song , Jinghan Ye , Zhiqiang Hu
IPC: G06T7/00 , G06T11/00 , G16H30/40 , H04W8/14 , H04L29/08 , H04W8/00 , H04W92/20 , H04L29/12 , G06T7/13 , H04W12/00 , H04L29/06 , H04W8/26 , H04W88/08
Abstract: In positron emission tomography (PET) imaging, PET imaging data (22) having TOF localization is reconstructed. TOF image reconstruction (30) is performed on the PET imaging data to produce a TOF reconstructed image (32). The TOF image reconstruction utilizes the TOF localization of the PET imaging data. Non-TOF image reconstruction (40) is also performed on the PET imaging data to produce a non-TOF reconstructed image (42). The non-TOF image reconstruction does not utilize the TOF localization of the PET imaging data. A comparison image (50) is computed which is indicative of differences between the TOF reconstructed image and the non TOF reconstructed image. An adjustment (54) is determined for the TOF image reconstruction based on the comparison image, such as alignment correction of an attenuation map (18), and the TOF image reconstruction is repeated on the PET imaging data with the determined adjustment to produce an adjusted TOF reconstructed image.
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公开(公告)号：US10213173B2
公开(公告)日：2019-02-26
申请号：US14357629
申请日：2012-11-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Herfried Karl Wieczorek , Jinghan Ye , Lingxiong Shao
Abstract: A whole body SPECT system (10) includes a patient support (14) and a static gantry (12) which includes a plurality of rings (40a,40b,40c) of radiation detectors (42). The patient support (14) supports a patient and moves the patient in an axial direction (18) through the static gantry (12). One or more processors (20,24,32) connected to the plurality of detectors records strikes of gamma photons in the radiation detectors (42) and reconstruct the recorded strikes of the gamma photons into a whole body image.
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Patent Agency Ranking
公开(公告)号：US20150093004A1
公开(公告)日：2015-04-02
申请号：US14396464
申请日：2013-05-15
Applicant: KONINKLIJKE PHILIPS N.V
Inventor： Jinghan Ye
CPC classification number: G06T11/005
Abstract: An image processing apparatus includes a scatter simulation processor which processes measured sinograms generated from imaging data acquired for an imaging subject by an imaging apparatus to produce a scatter sinogram that represents a shape of scatter contribution. A scatter scaling processor utilizes a Monte Carlo simulation to determine a scatter fraction and scales the scatter sinogram to generate a scaled scatter sinogram that matches the scatter contribution in the measured sinogram. A reconstruction processor reconstructs the imaging data into an image representation using the scaled scatter sinogram for scatter correction.
Abstract translation: 一种图像处理装置包括散射模拟处理器，其处理由成像装置对由成像对象获取的成像数据产生的测量的中心图，以产生表示散射贡献的形状的散射正弦图。 散射缩放处理器利用蒙特卡罗模拟来确定散射分数并缩放散射正弦图以产生与测量的正弦图中的散射贡献相匹配的缩放的散点正弦图。 重建处理器使用用于散射校正的缩放的分散正弦图将成像数据重建为图像表示。
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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：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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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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公开(公告)号：US10223480B2
公开(公告)日：2019-03-05
申请号：US14783041
申请日：2014-04-10
Applicant: KONINKLIJKE PHILIPS N.V. , UNIVERSITY HOSPITALS MEDICAL GROUP, INC. , CASE WESTERN RESERVE UNVERSITY
Inventor： Jeffrey Allan Kolthammer , Raymond Frank Muzic , Jinghan Ye
Abstract: An imaging method and corresponding system (10) account for cascade gammas. Event data describing detected gamma rays emitted from a target volume of a subject are received. The detected gamma rays include cascade gammas emitted from a radionuclide within the target volume. Cascade and annihilation gamma emissions from the target volume and coincidence detection of the imaging system (10) are simulated using a Monte Carlo (MC) simulation technique to generate a cascade dataset comprised of annihilation coincidence events and cascade coincidence events. The event data is reconstructed into an image representation of the target volume with correction of cascade coincidence using the relationship between the annihilation coincidence events and the cascade coincidence events in the cascade data set.
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