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公开(公告)号:US11576628B2
公开(公告)日:2023-02-14
申请号:US16959289
申请日:2018-12-26
摘要: Emission imaging data are reconstructed to generate a low dose reconstructed image. Standardized uptake value (SUV) conversion (30) is applied to convert the low dose reconstructed image to a low dose SUV image. A neural network (46, 48) is applied to the low dose SUV image to generate an estimated full dose SUV image. Prior to applying the neural network the low dose reconstructed image or the low dose SUV image is filtered using a low pass filter (32). The neural network is trained on a set of training low dose SUV images and corresponding training full dose SUV images to transform the training low dose SUV images to match the corresponding training full dose SUV images, using a loss function having a mean square error loss component (34) and a loss component (36) that penalizes loss of image texture and/or a loss component (38) that promotes edge preservation.
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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
发明人: 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
摘要: 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:US11877882B2
公开(公告)日:2024-01-23
申请号:US16605867
申请日:2018-04-17
发明人: Kushal Shah , Andriy Andreyev , Shushen Lin , Bin Zhang , Chuanyong Bai
IPC分类号: A61B6/00 , A61B6/03 , A61B5/1455
CPC分类号: A61B6/5288 , A61B6/037 , A61B6/461 , A61B6/527 , A61B6/5217 , A61B6/582 , A61B5/14552
摘要: A device (10) for measuring respiration of a patient includes a positron emission tomography (PET) or single photon emission computed tomography (SPECT) imaging device (12). At least one electronic processor (16) is programmed to: extract a first respiration data signal (32) from emission imaging data of a patient acquired by the PET or SPECT imaging device; extract a second respiration data signal (36) from a photoplethysmograph (PPG) signal of the patient; and combine the first and second extracted respiration data signals to generate a respiration signal (40) indicative of respiration of the patient.
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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
发明人: Xiyun Song , Chuanyong Bai , Jinghan Ye , Andriy Andreyev , Zhiqiang Hu
摘要: 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
发明人: Shekhar Dwivedi , Chuanyong Bai , Andriy Andreyev , Bin Zhang , Zhiqiang Hu
摘要: 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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6.
公开(公告)号:US11210820B2
公开(公告)日:2021-12-28
申请号:US16336562
申请日:2017-09-25
发明人: Andriy Andreyev , Chuanyong Bai , Bin Zhang , Faguo Yang , Shekhar Dwivedi , Zhiqiang Hu
摘要: 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:US11798205B2
公开(公告)日:2023-10-24
申请号:US16959219
申请日:2019-01-02
发明人: Chuanyong Bai , Andriy Andreyev , Bin Zhang , James Gurian , Zhiqiang Hu , Yu-Lung Hsieh , Shekhar Dwivedi , Jinghan Ye , Xiyun Song , Michael Allen Miller
CPC分类号: G06T11/006 , G06T5/002 , G06T7/0012 , G06T2200/24 , G06T2207/10081 , G06T2207/30004
摘要: 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: determining a weighting parameter (13) of an edge-preserving regularization or penalty of a regularized image reconstruction of an image acquisition device (12) for an imaging data set obtained by the image acquisition device; determining an edge sensitivity parameter (γ) of the edge-preserving algorithm for the imaging data set obtained by the image acquisition device; and reconstructing the imaging data set obtained by the image acquisition device to generate a reconstructed image by applying the regularized image reconstruction including the edge-preserving regularization or penalty with the determined weighting and edge sensitivity parameters to the imaging data set obtained by the image acquisition device.
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8.
公开(公告)号:US11510641B2
公开(公告)日:2022-11-29
申请号:US16965201
申请日:2019-01-30
发明人: Chuanyong Bai , Yang-Ming Zhu , Sheng Lu , Shiyu Xu , Hao Dang , Hao Lai , Douglas B. McKnight , Hui Wang
摘要: A non-spectral computed tomography scanner (102) includes a radiation source (112) configured to emit x-ray radiation, a detector array (114) configured to detect x-ray radiation and generate non-spectral data, and a memory (134) configured to store a spectral image module (130) that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor (126) configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.
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公开(公告)号:US11138739B2
公开(公告)日:2021-10-05
申请号:US16349807
申请日:2017-11-20
发明人: Shekhar Dwivedi , Chuanyong Bai , Zhiqiang Hu
摘要: 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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公开(公告)号:US11061151B2
公开(公告)日:2021-07-13
申请号:US16466587
申请日:2017-12-04
发明人: Chuanyong Bai , Andriy Andreyev , Bin Zhang , Zhiqiang Hu
摘要: A positron emission tomography (PET) detector array includes an enclosing radiation detector array (10) comprising radiation detector elements (14, 16) effective for detecting 511 keV radiation emanating from inside the radiation detector array. The radiation detector pixels of the cylindrical radiation detector array include both higher speed radiation detector elements (14) and lower speed radiation detector elements (16). The lower speed radiation detector pixels have a temporal resolution that is coarser than a temporal resolution of the higher speed radiation detector pixels.
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