公开(公告)号：US20240062371A1

公开(公告)日：2024-02-22

申请号：US18448773

申请日：2023-08-11

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Chih-Chieh LIU ,  Jian ZHOU ,  Qiulin TANG ,  Liang CAI ,  Zhou YU

IPC: G06T7/00 ,  G06T7/11

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06T2200/04

Abstract: An apparatus is provided with processing circuitry that receives a phase image acquired at a corresponding cardiac phase, determines, from the received phase image, a mask image of a particular cardiac region, applies both the determined mask image and the phase image to inputs of a trained neural network model to obtain, from outputs of the neural network model, a location probability map. The neural network model is trained with a set of input data and a corresponding set of output data. The input data includes a training mask image and a training phase image, and the output data includes a training location probability map. The processing circuitry calculates, for the cardiac phase, from the determined location probability map output from the trained neural network model, a value of a cardiac motion metric. The determined location probability map specifies a probable location of a cardiac vessel.

公开(公告)号：US20230215058A1

公开(公告)日：2023-07-06

申请号：US17723894

申请日：2022-04-19

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Qiulin TANG ,  Thomas LABNO ,  Jian ZHOU ,  Liang CAI ,  Zhou YU

IPC: G06T11/00 ,  A61B6/03 ,  A61B6/00 ,  G16H30/20

CPC classification number: G06T11/005 ,  A61B6/032 ,  A61B6/5205 ,  G16H30/20 ,  G06T2210/41

Abstract: A method, system, and computer readable medium to compensate for consecutive missing views in Computed Tomography (CT) reconstruction. By utilizing at least one complementary ray from a previous or subsequent view, the missing view(s) can be filled in. When plural complementary rays exist, a linear or non-linear combination of rays can be used to fill in the missing views, and the weights used in the combination may be smoothed to prevent over-emphasis of the replacement views.

公开(公告)号：US20230011759A1

公开(公告)日：2023-01-12

申请号：US17369596

申请日：2021-07-07

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Yujie LU ,  Qiulin TANG ,  Zhou YU ,  Jian ZHOU

IPC: G06T5/20 ,  G06T5/50 ,  G06N3/08 ,  G16H30/40

Abstract: An apparatus, method, and computer-readable medium for improving image quality of a medical volume. In an embodiment, the apparatus includes processing circuitry configured to receive a reconstructed input image volume from X-ray projection data corresponding to a three-dimensional region of an object to be examined, apply a pseudo-three-dimensional neural network (P3DNN) to the reconstructed input image volume, the application of the pseudo-three-dimensional neural network including generating, for the reconstructed input image volume, a plurality of three-dimensional image datasets representing a different anatomical plane of the reconstructed input image volume, applying at least one convolutional filter to each of a sagittal plane dataset, a transverse plane dataset, and a coronal plane dataset, and concatenating results of the applied at least one convolutional filter to generate an intermediate output image volume, and generate, based on the application of the P3DNN, an output image volume corresponding to the three-dimensional region of the object.

公开(公告)号：US20240257361A1

公开(公告)日：2024-08-01

申请号：US18424310

申请日：2024-01-26

Applicant: iTOMOGRAPHY CORPORATION ,  THE UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, Inc. ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Seongjin YOON ,  Alexander KATSEVICH ,  Michael FRENKEL ,  Qiulin TANG ,  Liang CAl ,  Jian ZHOU ,  Zhou YU

IPC: G06T7/246 ,  G06T7/62 ,  G06T11/00

CPC classification number: G06T7/248 ,  G06T7/62 ,  G06T11/008 ,  G06T2207/10081 ,  G06T2207/20021 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06T2210/41

Abstract: A method for motion estimation in CT systems is provided. The method includes dividing projection data, obtained by scanning a heart using the CT system, into a plurality of partial-angle-reconstruction (PAR) bins, reconstructing a plurality of PAR volumes from the PAR-binned projection data, obtaining, based on the plurality of reconstructed PAR volumes, a number of short-scan volumes, determining, based on the obtained number of short-scan volumes, a plurality of nodes throughout the heart, estimating, for each of the determined plurality of nodes, a plurality of model parameters of a motion model, and generating, based on the plurality of model parameters estimated for each of the plurality of nodes, parameters of a global motion model at each voxel of a volume of the heart. The method also includes reconstructing, based on the generated motion parameters of the global motion model at each voxel of the volume of the heart, a motion-compensated short-scan volume.

公开(公告)号：US20230067596A1

公开(公告)日：2023-03-02

申请号：US17462391

申请日：2021-08-31

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Qiulin TANG ,  Ruoqiao ZHANG ,  Jian ZHOU ,  Zhou YU

IPC: G06T11/00 ,  G06T7/00 ,  G06N3/08

Abstract: Data acquired from a scan of an object can be decomposed into frequency components. The frequency components can be input into a trained model to obtain processed frequency components. These processed frequency components can be composed and used to generate a final image. The trained model can be trained, independently or dependently, using frequency components covering the same frequencies as the to-be-processed frequency components. In addition, organ specific processing can be enabled by training the trained model using image and/or projection datasets of the specific organ.

公开(公告)号：US20250166247A1

公开(公告)日：2025-05-22

申请号：US18516450

申请日：2023-11-21

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Qiulin TANG ,  Jian ZHOU ,  Liang CAI ,  Chih-chieh LIU ,  Zhou YU

IPC: G06T11/00 ,  G06T7/11

Abstract: A method for performing cardiac motion compensation in a computed tomography (CT) imaging system is provided. The method includes receiving projection data acquired from an imaging object by the CT imaging system. The method also includes, until a predefined termination criterion is met, iteratively reconstructing, based on estimated cardiac motion, the received projection data to generate a motion-compensated image of the imaging object, determining a vessel region of interest (ROI) within the generated motion-compensated image, and updating the estimated cardiac motion, based on an optimization cost function associated with the determined vessel ROI. The method further includes outputting, as a final reconstructed image of the imaging object, the generated motion-compensated image.

公开(公告)号：US20250157100A1

公开(公告)日：2025-05-15

申请号：US18509385

申请日：2023-11-15

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Qiulin TANG ,  Jian ZHOU ,  Liang CAI ,  Chih-Chieh LIU

IPC: G06T11/00 ,  G06T5/00 ,  G06T5/20 ,  G06T7/00 ,  G06T7/246

Abstract: A medical image processing method includes obtaining a set of projection data acquired in a computed tomography (CT) scan of a three-dimensional region of an object to be examined; generating for each time point of a plurality of time points of the CT scan based on a part of the obtained set of projection data corresponding to the time point, a pair of feature maps for estimating motion at the time point so as to generate a plurality of pairs of feature maps, each feature map representing a feature of an image reconstructed from the part of the obtained set of projection data; estimating, based on the generated plurality of pairs of feature maps, a four-dimensional motion field; and reconstructing, based on the estimated four-dimensional motion field and the obtained set of projection data, a CT image of the object.

公开(公告)号：US20240032877A1

公开(公告)日：2024-02-01

申请号：US17875051

申请日：2022-07-27

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Chih-chieh LIU ,  Jian ZHOU ,  Qiulin TANG ,  Liang CAI ,  Zhou YU

IPC: A61B6/03 ,  A61B6/00 ,  G01N23/046

CPC classification number: A61B6/032 ,  A61B6/54 ,  G01N23/046 ,  A61B6/503

Abstract: An information processing method controls a CT scanner such that the method includes, but is not limited to, determining an X-ray irradiation period from an electrocardiogram acquired from an electrocardiography device attached to a living object to be imaged, by processing the electrocardiogram at multiple different cardiac phases; performing, by controlling a CT gantry including and rotatably supporting an X-ray source and an X-ray detector, a diagnostic CT scan in the determined X-ray irradiation period, of at least a part of the heart region, to obtain a CT image; and causing a display unit to display the obtained CT image. The method can be performed at least by an information processing apparatus including processing circuitry and/or computer instructions stored in a non-transitory computer readable storage medium for performing the method.

公开(公告)号：US20200305806A1

公开(公告)日：2020-10-01

申请号：US16370230

申请日：2019-03-29

Applicant: Canon Medical Systems Corporation

Inventor： Qiulin TANG ,  Jian Zhou ,  Zhou Yu

IPC: A61B6/03 ,  G06N3/08 ,  A61B6/00

Abstract: A method and apparatuses are provided that use a neural network to correct artifacts in computed tomography (CT) images, especially cone-beam CT (CBCT) artifacts. The neural network is trained using a training dataset of artifact-minimized images paired with respective artifact-exhibiting images. In some embodiments, the artifact-minimized images are acquired using a small cone angle for the X-ray beam, and the artifact-exhibiting images are acquired either by forwarding projecting the artifact-minimized images using a large-cone-angle CBCT configuration or by performing a CBCT scan. In some embodiments, the network is a 2D convolutional neural network, and an artifact-exhibiting image is applied to the neural network as 2D slices taken for the coronal and/or sagittal views. Then the 2D image results from the neural network are reassembled as a 3D imaging having reduced imaging artifacts.