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公开(公告)号：US20240265501A1
公开(公告)日：2024-08-08
申请号：US18616125
申请日：2024-03-25
发明人： Yang LYU
CPC分类号： G06T5/50 , G06T5/60 , G06T5/70 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/30004
摘要： The present disclosure relates to systems and methods for image processing. The methods may include obtaining a first image of a subject; generating a first intermediate image based on the first image, the first intermediate image including feature information of the first image; and generating, based on a weighted fusing of the first intermediate image and at least one reference image, a target image of the subject. The at least one reference image may include at least one of the first image or a second intermediate image associated with the first image, the second intermediate image including lower noise than the first image. In the weighted fusing, different portions of the first intermediate image and/or the at least one reference image have different weights.
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公开(公告)号：US20220108459A1
公开(公告)日：2022-04-07
申请号：US17643409
申请日：2021-12-08
IPC分类号： G06T7/246
摘要： The present disclosure provides a system and method for image reconstruction. The method may include obtaining training samples, the training samples including at least one sample first image generated based on a first tracer, at least one reference first image each of which corresponds to one of the at least one sample first image and has a higher image quality than the corresponding sample first image, at least one sample second image generated based on a second tracer different from the first tracer, and at least one reference second image each of which corresponds to one of the at least one sample second images and has a higher image quality than the corresponding sample second image; and generating a trained image processing model by training a preliminary model using the training samples.
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公开(公告)号：US20200342592A1
公开(公告)日：2020-10-29
申请号：US16854838
申请日：2020-04-21
发明人： Huifang XIE , Yang LYU
摘要： The present disclosure provides a system and method for medical imaging. The method may include obtaining a preliminary image and scanning data of a subject acquired using a scanner. The method may also include determining a regularization parameter for a regularization item of an objective function based at least in part on the scanning data, wherein the regularization parameter includes at least two of a first component characterizing quality of the scanning data, a second component characterizing the scanner, or a third component characterizing a feature of the subject. The method may further include generating an image of the subject by reconstructing the preliminary image based on the objective function.
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公开(公告)号：US20240331337A1
公开(公告)日：2024-10-03
申请号：US18622855
申请日：2024-03-29
发明人： Yang LYU , Houjiao DAI , Chen XI
CPC分类号： G06V10/25 , G06V10/80 , G06V10/82 , G06V2201/03
摘要： Embodiments of the present disclosure provide a medical image processing method, system, and storage medium. The method includes determining a plurality of images of regions of interest (ROIs) based on a first image of a subject; determining a plurality of second images based on the plurality of images of the ROIs and image processing models corresponding to the plurality of images of the ROIs; and performing a fusion operation based on the plurality of second images to obtain a target image.
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公开(公告)号：US20240242400A1
公开(公告)日：2024-07-18
申请号：US18434934
申请日：2024-02-07
发明人： Xiaoyue GU , Chao WANG , Yang LYU , Runxia MA , Xiaochun XU , Zijun JI , Huayang LIU , Hai WANG , Chenhao XUE
CPC分类号： G06T11/008 , G06T7/0014 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30004 , G06T2210/41 , G06T2211/448
摘要： The present disclosure provides systems and methods for medical imaging. The system may obtain a scout image of a subject lying on a scanning table. The scanning table may include N portions corresponding to N bed positions of a target scan, and an ith portion of the N portions may correspond to an ith bed position of the N bed positions. For the ith bed position, the system may determine one or more body parts of the subject located at the ith portion of the scanning table based on the scout image; and determine at least one scanning parameter or reconstruction parameter corresponding to the ith bed position based on the one or more body parts of the subject.
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公开(公告)号：US20240212145A1
公开(公告)日：2024-06-27
申请号：US18437162
申请日：2024-02-08
发明人： Huifang XIE , Yang LYU
CPC分类号： G06T7/0012 , A61B5/055 , A61B6/032 , A61B6/037 , A61B6/5235 , A61B6/5247 , A61B6/5258 , G06T5/50 , G06T5/70 , G06T11/005 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20182
摘要： The present disclosure provides a system and method for medical imaging. The method may include obtaining scanning data of a subject acquired using a scanner. The method may also include determining a reconstruction parameter of an objective function based at least in part on the scanning data, wherein the reconstruction parameter includes one or more global components that control an image quality over an entire image to be reconstructed and one or more local components that control the image quality over a portion of the image to be reconstructed. The method may further include generating the image of the subject by reconstructing the scanning data based on the objective function.
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公开(公告)号：US20230333269A1
公开(公告)日：2023-10-19
申请号：US18340880
申请日：2023-06-25
CPC分类号： G01T1/2985 , A61B6/037 , A61B6/5211
摘要： The present disclosure provides a positron emission tomography (PET) system and an image reconstruction method thereof. The PET system may include a plurality of detector units arranged along an axial direction, each detector unit of the plurality of detector units being configured to generate a plurality of single event counts; a plurality of coincidence logic circuits, each coincidence logic circuit of the plurality of coincidence logic circuits being operably connected to at least one of the plurality of detector units; and a computing system configured to reconstruct an image by performing, based on a plurality of coincidence counts generated by the plurality of coincidence logic circuits, forward projection calculation and backward projection calculation.
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公开(公告)号：US20220092755A1
公开(公告)日：2022-03-24
申请号：US17456597
申请日：2021-11-26
摘要： The present disclosure relates to systems and methods for image processing. The systems may acquire imaging data. The systems may generate multiple intermediate images based on the imaging data by performing image optimization of multiple image optimization dimensions using a plurality of trained machine learning models. The systems may generate a target image based on the intermediate images.
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公开(公告)号：US20210295501A1
公开(公告)日：2021-09-23
申请号：US17134570
申请日：2020-12-28
发明人： Debin HU , Yong ZHAO , Yang LYU , Yizhang ZHAO , Liuchun HE , Yinghan QU
摘要： The present disclosure provides a system and method for image reconstruction and processing. The method may include obtaining image data of an object acquired by an imaging device. The method may include determining one or more regions of interest (ROIs) of the object. The method may also include determining, based on each ROI of the one or more ROIs, a target portion of the image data corresponding to the ROI among the image data. The method may further include reconstructing, based on the target portion of the image data, one or more images of the ROI.
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公开(公告)号：US20210217174A1
公开(公告)日：2021-07-15
申请号：US17198205
申请日：2021-03-10
发明人： Lingzhi HU , Tuoyu CAO , Gang YANG , Yang LYU
摘要： A method include obtaining at least one first PET image of a subject acquired by a PET scanner and at least one first MR image of the subject acquired by an MR scanner. The method may also include obtaining a target neural network model. The target neural network model may provide a mapping relationship between PET images, MR images, and corresponding attenuation correction data, and output attenuation correction data associated with a specific PET image of the PET images. The method may further include generating first attenuation correction data corresponding to the subject using the target neural network model based on the at least one first PET image and the at least one first MR image of the subject, and determining a target PET image of the subject based on the first attenuation correction data corresponding to the subject.
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