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公开(公告)号：US20160004060A1
公开(公告)日：2016-01-07
申请号：US14735959
申请日：2015-06-10
Applicant: PURDUE RESEARCH FOUNDATION
Inventor： Garth Jason Simpson , Charles Addison Bouman , Ryan Douglas Muir , Shane Sullivan , Justin Allen Newman , Mark Carlsen
CPC classification number: G02B21/0084 , G02B21/0048 , G02B21/0076 , G02B26/101
Abstract: A beam-scanning optical design is described for achieving up to kHz frame-rate optical imaging on multiple simultaneous data acquisition channels. In one embodiment, two fast-scan resonant mirrors direct the optical beam on a circuitous trajectory through the field of view, with the trajectory repeat-time given by the least common multiplier of the mirror periods. Dicing the raw time-domain data into sub-trajectories combined with model-based image reconstruction (MBIR) 3D in-painting algorithms allows for effective frame-rates much higher than the repeat time of the Lissajous trajectory. Because sub-trajectory and full-trajectory imaging are different methods of analyzing the same data, both high-frame rate images with relatively low resolution and low frame rate images with high resolution are simultaneously acquired.
Abstract translation: 描述了用于在多个同时数据采集通道上实现高达kHz帧频光学成像的波束扫描光学设计。 在一个实施例中，两个快速扫描谐振反射镜将光束引导通过视场的迂回轨迹，轨迹重复时间由反射镜周期的最小公倍数给出。 将原始时域数据划分为与基于模型的图像重建（MBIR）相结合的子轨迹。3D绘图算法允许比Lissajous轨迹的重复时间高得多的有效帧速率。 因为子轨迹和全轨迹成像是分析相同数据的不同方法，同时获取具有较低分辨率的高帧率图像和高分辨率的低帧率图像。
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2.发明公开公开(公告)号：US20230385643A1
公开(公告)日：2023-11-30
申请号：US17804224
申请日：2022-05-26
Applicant: GE Precision Healthcare LLC , Purdue Research Foundation , University of Notre Dame du Lac
Inventor： Obaidullah Rahman , Madhuri Mahendra Nagare , Roman Melnyk , Jie Tang , Brian E. Nett , Charles Addison Bouman , Ken Sauer
Abstract: Techniques are described that facilitate generating neural network (NNs) tailored to optimize specific properties of medical images using novel loss functions. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a training component that trains a NN to generate a modified version of computed tomography (CT) data comprising one or more optimized properties relative to the CT data using a loss function tailored to control learning adaptation of the NN based on error attributed to one or more defined components associated with the CT data, resulting in a trained NN, wherein the one or more defined components comprise at least one of a frequency component or a spatial feature component.
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公开(公告)号：US20180045939A1
公开(公告)日：2018-02-15
申请号：US15724738
申请日：2017-10-04
Applicant: PURDUE RESEARCH FOUNDATION
Inventor： Garth Jason Simpson , Charles Addison Bouman , Ryan Douglas Muir , Shane Sullivan , Justin Allen Newman , Mark Carlsen , Suhas Sreehari
CPC classification number: G02B21/0084 , G02B21/0048 , G02B21/0076 , G02B26/101
Abstract: A beam-scanning optical design is described for achieving up to kHz frame-rate optical imaging on multiple simultaneous data acquisition channels. In one embodiment, two fast-scan resonant mirrors direct the optical beam on a circuitous trajectory through the field of view, with the trajectory repeat-time given by the least common multiplier of the mirror periods. Dicing the raw time-domain data into sub-trajectories combined with model-based image reconstruction (MBIR) 3D in-painting algorithms allows for effective frame-rates much higher than the repeat time of the Lissajous trajectory. Because sub-trajectory and full-trajectory imaging are different methods of analyzing the same data, both high-frame rate images with relatively low resolution and low frame rate images with high resolution are simultaneously acquired.
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Patent Agency Ranking
公开(公告)号：US20210295152A1
公开(公告)日：2021-09-23
申请号：US17153659
申请日：2021-01-20
Applicant: Purdue Research Foundation , High Performance Imaging LLC
Inventor： Charles Addison Bouman , Sherman Jordan Kisner
Abstract: A computer-implemented method of latency reduction is disclosed for a digital holography optical imaging system. The method comprises receiving an incoming light field at a focal plane array of the digital holography optical imaging system, applying an interfering light field to the incoming light field at the focal plane array, and generating a holographic image based on the incoming light field and the interfering light field at the focal plane array. The method further comprises generating a sequence of phase errors based on the holographic image, generating at least one training parameter based on the sequence of phase errors, and training a neural network to revise the at least one training parameter using the sequence of phase errors, a time delay, and the at least one training parameter. The method further comprises predicting a future phase error for a future holographic image based on the revised training parameter.
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公开(公告)号：US10409047B2
公开(公告)日：2019-09-10
申请号：US15724738
申请日：2017-10-04
Applicant: PURDUE RESEARCH FOUNDATION
Inventor： Garth Jason Simpson , Charles Addison Bouman , Ryan Douglas Muir , Shane Sullivan , Justin Allen Newman , Mark Carlsen , Suhas Sreehari
Abstract: A beam-scanning optical design is described for achieving up to kHz frame-rate optical imaging on multiple simultaneous data acquisition channels. In one embodiment, two fast-scan resonant mirrors direct the optical beam on a circuitous trajectory through the field of view, with the trajectory repeat-time given by the least common multiplier of the mirror periods. Dicing the raw time-domain data into sub-trajectories combined with model-based image reconstruction (MBIR) 3D in-painting algorithms allows for effective frame-rates much higher than the repeat time of the Lissajous trajectory. Because sub-trajectory and full-trajectory imaging are different methods of analyzing the same data, both high-frame rate images with relatively low resolution and low frame rate images with high resolution are simultaneously acquired.
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公开(公告)号：US20180025514A1
公开(公告)日：2018-01-25
申请号：US15550980
申请日：2016-02-16
Applicant: Purdue Research Foundation , HIGH PERFORMANCE IMAGING, INC.
Inventor： Charles Addison Bouman , Samuel Pratt Midkiff , Sherman Jordan Kisner , Xiao Wang
CPC classification number: G06T11/008 , A61B6/032 , A61B6/5205 , G06T1/60 , G06T11/006 , G06T15/08 , G06T2211/421 , G06T2211/424
Abstract: Systems and methods for MBIR reconstruction utilizing a super-voxel approach are provided. A super-voxel algorithm is an optimization algorithm that, as with ICD, produces rapid and geometrically agnostic convergence to the MBIR reconstruction by processing super-voxels which comprise a plurality of voxels whose corresponding memory entries substantially overlap. The voxels in the super-voxel may also be localized or adjacent to one another in the image. In addition, the super-voxel algorithm straightens the memory in the “sinogram” that contains the measured CT data so that both data and intermediate results of the computation can be efficiently accessed from high-speed memory and cache on a computer, GPU, or other high-performance computing hardware. Therefore, each iteration of the super-voxel algorithm runs much faster by more efficiently using the computing hardware.
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公开(公告)号：US11423309B2
公开(公告)日：2022-08-23
申请号：US17153659
申请日：2021-01-20
Applicant: Purdue Research Foundation , HIGH PERFORMANCE IMAGING LLC
Inventor： Charles Addison Bouman , Sherman Jordan Kisner
Abstract: A computer-implemented method of latency reduction is disclosed for a digital holography optical imaging system. The method comprises receiving an incoming light field at a focal plane array of the digital holography optical imaging system, applying an interfering light field to the incoming light field at the focal plane array, and generating a holographic image based on the incoming light field and the interfering light field at the focal plane array. The method further comprises generating a sequence of phase errors based on the holographic image, generating at least one training parameter based on the sequence of phase errors, and training a neural network to revise the at least one training parameter using the sequence of phase errors, a time delay, and the at least one training parameter. The method further comprises predicting a future phase error for a future holographic image based on the revised training parameter.
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公开(公告)号：US09784960B2
公开(公告)日：2017-10-10
申请号：US14735959
申请日：2015-06-10
Applicant: PURDUE RESEARCH FOUNDATION
Inventor： Garth Jason Simpson , Charles Addison Bouman , Ryan Douglas Muir , Shane Sullivan , Justin Allen Newman , Mark Carlsen , Suhas Sreehari
CPC classification number: G02B21/0084 , G02B21/0048 , G02B21/0076 , G02B26/101
Abstract: A beam-scanning optical design is described for achieving up to kHz frame-rate optical imaging on multiple simultaneous data acquisition channels. In one embodiment, two fast-scan resonant mirrors direct the optical beam on a circuitous trajectory through the field of view, with the trajectory repeat-time given by the least common multiplier of the mirror periods. Dicing the raw time-domain data into sub-trajectories combined with model-based image reconstruction (MBIR) 3D in-painting algorithms allows for effective frame-rates much higher than the repeat time of the Lissajous trajectory. Because sub-trajectory and full-trajectory imaging are different methods of analyzing the same data, both high-frame rate images with relatively low resolution and low frame rate images with high resolution are simultaneously acquired.
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