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公开(公告)号：US11103199B2
公开(公告)日：2021-08-31
申请号：US15933462
申请日：2018-03-23
发明人： Jicun Hu , Vladimir Y. Panin , Anne M. Smith , William Curtis Howe , Vijay Shah , Frank Kehren , Michael E. Casey , Matthew Baker , Bernard Bendriem
摘要： A method of conducting a multi-pass dynamic positron emission tomography (PET) scans using continuous bed motion (CBM) mode is disclosed where the method involves acquiring PET sinogram data using CBM mode as the patient bed is moving in a first direction; acquiring PET sonogram data using CBM mode as the patient bed is moving in a second direction that is opposite from the first direction; and reconstructing 3-D PET image from the acquired PET sonogram data.
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2.发明授权公开(公告)号：US10722189B2
公开(公告)日：2020-07-28
申请号：US15690885
申请日：2017-08-30
发明人： Jicun Hu , Vladimir Y. Panin , Anne M. Smith , William Curtis Howe , Vijay Shah , Frank Kehren , Michael E. Casey , Matthew Baker , Bernard Bendriem
摘要： A method of processing and reconstructing dynamic positron emission tomography (PET) sinogram data comprises: acquiring PET sinogram data using continuous bed motion having a varying velocity; recording a plurality of position-time coordinate pairs while acquiring the PET sinogram data; determining respective acquisition times of each of a plurality of slices of the image, based on the plurality of position-time coordinates; and reconstructing respective parametric images for each respective slice in the plurality of slices.
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公开(公告)号：US20210350591A1
公开(公告)日：2021-11-11
申请号：US15929496
申请日：2020-05-06
发明人： Jicun Hu , Ludovic Sibille , Bruce Spottiswoode
摘要： A method for parametric image reconstruction and motion correction using whole-body motion fields includes receiving a nuclear imaging data set including a set of dynamic frames and generating at least one of a whole-body forward motion field and/or a whole-body inverse motion field for at least one frame in the set of frames. An iterative loop is applied to update at least one parameter used in a direct parametric reconstruction and at least one parametric image is generated based on the at least one parameter updated by the iterative loop. The iterative loop includes calculating a frame emission image for the at least one frame, generating a motion-corrected frame emission image based on the at least one whole-body forward motion field or a whole-body inverse motion field, and updating at least one parameter by applying a fit to the motion-corrected frame emission image.
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4.发明申请公开(公告)号：US20180303438A1
公开(公告)日：2018-10-25
申请号：US15933462
申请日：2018-03-23
发明人： Jicun Hu , Vladimir Y. Panin , Anne M. Smith , William Curtis Howe , Vijay Shah , Frank Kehren , Michael E. Casey , Matthew Baker , Bernard Bendriem
CPC分类号： A61B6/037 , A61B6/503 , A61B6/5217 , G06T11/005 , G06T2211/412
摘要： A method of conducting a multi-pass dynamic positron emission tomography (PET) scans using continuous bed motion (CBM) mode is disclosed where the method involves acquiring PET sinogram data using CBM mode as the patient bed is moving in a first direction; acquiring PET sonogram data using CBM mode as the patient bed is moving in a second direction that is opposite from the first direction; and reconstructing 3-D PET image from the acquired PET sonogram data.
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公开(公告)号：US20220130079A1
公开(公告)日：2022-04-28
申请号：US16949277
申请日：2020-10-23
发明人： Jicun Hu , Xiang Zhang , William Whiteley , Chuanyu Zhou , Vladimir Panin
摘要： An image reconstruction system generates de-noised, attenuation corrected, and scatter corrected images using AI processing. The system receives a low-dose PET image and applies a machine learning algorithm via a convolutional neural network to the low-dose PET image to generate an output image. The output image includes correction for scatter and attenuation associated with the image being low-dose. The system provides the output image to a computing device comprising a user interface.
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6.发明授权公开(公告)号：US11288847B2
公开(公告)日：2022-03-29
申请号：US16598277
申请日：2019-10-10
发明人： Charles C. Watson , Jicun Hu , Chuanyu Zhou
摘要： Methods for simulating, and correcting for, doubly scattered annihilation gamma-ray photons in both time-of-flight (TOF) and non-TOF positron emission tomography scan data are disclosed.
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7.发明申请Method To Compensate Gating Effects On Image Uniformity And Quantification For PET Scan With Continuous Bed Motion 有权用于补偿连续床运动PET扫描的图像均匀性和定量的门控效应的方法公开(公告)号：US20150302613A1
公开(公告)日：2015-10-22
申请号：US14671407
申请日：2015-03-27
发明人： Jicun Hu , Vladimir Y. Panin , Frank Kehren , Michael E. Casey
CPC分类号： G06T11/003 , G06T11/005 , G06T2207/10004 , G06T2207/10072 , G06T2207/10104 , G06T2211/412
摘要： Methods and systems for processing data for medical imaging are disclosed. The method includes obtaining a set of continuous bed motion (CBM) data from a first imaging modality. The set of CBM data includes a plurality of gating signals. A CBM normalization matrix is calculated. The CBM normalization matrix calculation includes the plurality of gating signals. An image is reconstructed from the CBM data and the CBM normalization matrix. The first imaging modality can be a PET imaging device.
摘要翻译： 公开了用于处理医学成像数据的方法和系统。 该方法包括从第一成像模态获得一组连续床运动（CBM）数据。 该组CBM数据包括多个门控信号。 计算CBM归一化矩阵。 CBM归一化矩阵计算包括多个门控信号。 从CBM数据和CBM归一化矩阵重建图像。 第一成像模式可以是PET成像装置。
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公开(公告)号：US11468607B2
公开(公告)日：2022-10-11
申请号：US16949640
申请日：2020-11-09
发明人： Deepak Bharkhada , Chuanyu Zhou , Vladimir Panin , William Whiteley , Jicun Hu , Michael E. Casey
摘要： An image reconstruction system generates a motion estimation using images that have been reconstructed using AI processing. The system receives listmode data collected by an imaging system and produces two or more histo-images based on the listmode data. The system provides the two or more histo-images to an AI system and receives two or more AI reconstructed images back from the AI system based on the two or more histo-images. The system generates a motion estimation based on the two or more AI reconstructed images.
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公开(公告)号：US20220148236A1
公开(公告)日：2022-05-12
申请号：US16949640
申请日：2020-11-09
发明人： Deepak Bharkhada , Chuanyu Zhou , Vladimir Panin , William Whiteley , Jicun Hu , Michael E. Casey
摘要： An image reconstruction system generates a motion estimation using images that have been reconstructed using AI processing. The system receives listmode data collected by an imaging system and produces two or more histo-images based on the listmode data. The system provides the two or more histo-images to an AI system and receives two or more AI reconstructed images back from the AI system based on the two or more histo-images. The system generates a motion estimation based on the two or more AI reconstructed images.
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公开(公告)号：US11222447B2
公开(公告)日：2022-01-11
申请号：US15929496
申请日：2020-05-06
发明人： Jicun Hu , Ludovic Sibille , Bruce Spottiswoode
摘要： A method for parametric image reconstruction and motion correction using whole-body motion fields includes receiving a nuclear imaging data set including a set of dynamic frames and generating at least one of a whole-body forward motion field and/or a whole-body inverse motion field for at least one frame in the set of frames. An iterative loop is applied to update at least one parameter used in a direct parametric reconstruction and at least one parametric image is generated based on the at least one parameter updated by the iterative loop. The iterative loop includes calculating a frame emission image for the at least one frame, generating a motion-corrected frame emission image based on the at least one whole-body forward motion field or a whole-body inverse motion field, and updating at least one parameter by applying a fit to the motion-corrected frame emission image.
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