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公开(公告)号:US10564103B2
公开(公告)日:2020-02-18
申请号:US15534882
申请日:2014-12-10
Inventor: Jie Tian , Yamin Mao , Chongwei Chi , Xin Yang
IPC: A62B1/04 , G01N21/64 , H04N5/33 , H04N5/247 , H04N5/232 , G01N21/25 , G02B23/24 , G01N21/359 , H04N5/372 , H04N5/225 , G02B23/26
Abstract: A dual-mode optical molecular imaging navigation apparatus with a switchable field of view, and an imaging method thereof, are provided in the embodiments of the disclosure, the apparatus including: a camera module configured to perform a color imaging and a fluorescence imaging; a switching module configured to switch between an open imaging mode and an endoscopic imaging mode as per imaging requirements; an open imaging module configured to perform observation and imaging with a large field of view; an endoscopic imaging module configured to perform observation and imaging with a deep field of view; a data processing module configured to provide a camera control software and image capturing, processing and display method; and a support module configured to support and connect the navigation apparatus.
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公开(公告)号:US11816767B1
公开(公告)日:2023-11-14
申请号:US18218115
申请日:2023-07-05
Inventor: Jie Tian , Zechen Wei , Hui Hui , Xin Yang , Huiling Peng
IPC: G06K9/00 , G06T11/00 , G06T5/00 , G06T5/10 , A61B5/0515
CPC classification number: G06T11/006 , A61B5/0515 , G06T5/002 , G06T5/10 , G06T2207/10072 , G06T2207/20081 , G06T2207/20084
Abstract: A method and system for reconstructing a magnetic particle distribution model based on time-frequency spectrum enhancement are provided. The method includes: scanning, by a magnetic particle imaging (MPI) device, a scan target to acquire a one-dimensional time-domain signal of the scan target; performing short-time Fourier transform to acquire a time-frequency spectrum; acquiring, by a deep neural network (DNN) fused with a self-attention mechanism, a denoised time-frequency spectrum; acquiring a high-quality magnetic particle time-domain signal; and reconstructing a magnetic particle distribution model. The method learns global and local information in the time-frequency spectrum through the DNN fused with the self-attention mechanism, thereby learning a relationship between different harmonics to distinguish between a particle signal and a noise signal. The method combines the global and local information to complete denoising of the time-frequency spectrum, thereby acquiring the high-quality magnetic particle time-domain signal.
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公开(公告)号:US10524665B2
公开(公告)日:2020-01-07
申请号:US15520928
申请日:2014-10-22
Inventor: Jie Tian , Chongwei Chi , Xin Yang
Abstract: A handheld molecular imaging navigation system comprises a multi-spectral light source module configured to provide light in a plurality of different spectrum bands in a time division control manner according to a control signal sequence to irradiate an inspected object; a time division control module configured to generate the control signal sequence; an optical signal acquisition module configured to acquire a near-infrared fluorescence image and a visible light image of the inspected object in a time division control manner according to the control signal sequence provided by the time division control module; and a processing module configured to perform image processing on the acquired near-infrared fluorescence image and visible light image according to the control signal sequence to fuse the visible light image and the fluorescence image and output the fused image, and output a feedback signal according to the acquired near-infrared fluorescence image and visible light image.
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公开(公告)号:US12117508B1
公开(公告)日:2024-10-15
申请号:US18744685
申请日:2024-06-16
Inventor: Jie Tian , Zechen Wei , Hui Hui , Liwen Zhang , Xin Yang , Tao Zhu
IPC: G01R33/12 , A61B5/0515 , G06T11/00
CPC classification number: G01R33/1276 , A61B5/0515 , G06T11/006 , G06T2211/441
Abstract: A system for reconstructing a magnetic particle image based on adaptive optimization of regularization terms includes: a MPI device for scanning an imaging object to acquire a voltage response signal; a signal processor for constructing a system matrix; and a control processor for reconstructing the magnetic particle image based on an arbitrarily selected regularization term, inputting the reconstructed magnetic particle image to a regularization-term adaptive optimization neural network model for enhancement processing, taking the enhanced magnetic particle image as a first image, and calculating a loss value between the first image and an initial image to acquire a final reconstructed magnetic particle image. The system adopts a neural network model-based automatic learning approach, instead of the approach of manually selecting regularization terms and adjusting parameters, to improve the reconstruction efficiency and quality of the magnetic particle image.
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公开(公告)号:US10939845B2
公开(公告)日:2021-03-09
申请号:US16907334
申请日:2020-06-22
Inventor: Jie Tian , Peng Zhang , Hui Hui , Kun Wang , Xin Yang
IPC: A61B5/0515 , A61B5/00
Abstract: A FFL-based magnetic particle imaging three-dimensional reconstruction method includes: acquiring current signal data of an induction coil during FFL-based three-dimensional scanning process of a scanned object; based on the current signal data, performing deconvolution through a preset kernel function to acquire a two-dimensional image data set, wherein the kernel function is a step function with L2 regularized constraint; based on the two-dimensional image data set, acquiring an initial three-dimensional image by using a Wiener filtering deconvolution algorithm; and based on the initial three-dimensional image, performing deconvolution through a Langevin function, and acquiring a final three-dimensional image by Radon transformation. A FFL-based magnetic particle imaging three-dimensional reconstruction system includes a magnet group, an induction coil, an imaging bed, and a control and imaging device, wherein, a magnetic particle imaging method in the control and imaging device is the FFL-based magnetic particle imaging three-dimensional reconstruction method.
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公开(公告)号:US10026202B2
公开(公告)日:2018-07-17
申请号:US15289535
申请日:2016-10-10
Inventor: Jie Tian , Kunshan He , Chongwei Chi , Xin Yang
CPC classification number: G06T11/003 , A61B5/0075 , A61B5/6803 , G01B11/00 , G01B11/24 , H04N5/2256 , H04N5/2258 , H04N5/332
Abstract: The invention discloses a wearable molecular imaging navigation system comprising: a multi-spectral light transceiver configured to transmit a multi-spectral light to a detected subject in a detection region and acquire an emitting light regarding the detected subject and acquire a reflecting light regarding the detected subject; an image processor configured to receive the reflecting light and the emitting light from the multi-spectral light transceiver, execute a three-dimensional reconstruction and fusion process on the reflecting light and the emitting light to obtain a fusion image; a wireless signal processor configured to enable a wireless communication; and a wearable device, configured to receive the fusion image from the image processor via the wireless signal processor, display the fusion image and control the multi-spectral light transceiver and the image processor based on instructions received.
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公开(公告)号:US20180042481A1
公开(公告)日:2018-02-15
申请号:US15520928
申请日:2014-10-22
Inventor: Jie Tian , Chongwei Chi , Xin Yang
Abstract: A handheld molecular imaging navigation system comprises a multi-spectral light source module configured to provide light in a plurality of different spectrum bands in a time division control manner according to a control signal sequence to irradiate an inspected object; a time division control module configured to generate the control signal sequence; an optical signal acquisition module configured to acquire a near-infrared fluorescence image and a visible light image of the inspected object in a time division control manner according to the control signal sequence provided by the time division control module; and a processing module configured to perform image processing on the acquired near-infrared fluorescence image and visible light image according to the control signal sequence to fuse the visible light image and the fluorescence image and output the fused image, and output a feedback signal according to the acquired near-infrared fluorescence image and visible light image.
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公开(公告)号:US12136146B1
公开(公告)日:2024-11-05
申请号:US18752758
申请日:2024-06-24
Inventor: Jie Tian , Zechen Wei , Hui Hui , Xin Yang
IPC: G06T11/00 , A61B5/0515 , G06T3/4046
Abstract: A system for reconstructing a magnetic particle image based on a pre-trained model aims to address the influence by point spread function and reduce the computational and time costs, which results in low reconstruction accuracy, or high acquisition time and computational costs for high-precision images. The system is implemented by: generating a simulation system matrix; pre-training a pre-constructed neural network model, and fine-tuning a pre-trained neural network model by performing a downstream task; and inputting real data corresponding to the downstream task into the pre-trained neural network model after fine-tuning, thereby playing an auxiliary role to acquire a high-quality reconstructed MPI image. The system fits the relationship between different harmonics, which helps enhance frequency-domain information. The system has certain universality and can be generalized to a plurality of downstream tasks related to MPI image reconstruction, thereby acquiring high-quality reconstructed images through simple model fine-tuning.
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