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公开(公告)号：US12182970B2
公开(公告)日：2024-12-31
申请号：US17356612
申请日：2021-06-24
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor： Yi Hu , Rui Hua , Joseph Manak , John Baumgart , Yu-Bing Chang
Abstract: A general workflow for deep learning based image restoration in X-ray and fluoroscopy/fluorography is disclosed. Higher quality images and lower quality images are generated as training data. This training data can further be categorized by anatomical structure. This training data can be used to train a learned model, such as a neural network or deep-learning neural network. Once trained, the learned model can be used for real-time inferencing. The inferencing can be more further improved by employing a variety of techniques, including pruning the learned model, reducing the precision of the learned mode, utilizing multiple image restoration processors, or dividing a full size image into snippets.
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2.发明授权公开(公告)号：US11450001B2
公开(公告)日：2022-09-20
申请号：US16845402
申请日：2020-04-10
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor： Yiemeng Hoi , Joseph Manak , Kazumasa Arakita , Jingwu Yao , James Begelman , Victor Gorin
Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires image data including image data of a blood vessel of a subject. The processing circuitry performs analysis related to the blood vessel by using the image data, and specifies a region of interest in the blood vessel based on a result of the analysis. The processing circuitry performs fluid analysis on a region other than the region of interest at a first accuracy, and performs fluid analysis on the region of interest at a second accuracy that is higher than the first accuracy.
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公开(公告)号：US10789738B2
公开(公告)日：2020-09-29
申请号：US16179751
申请日：2018-11-02
Inventor： Xiaochuan Pan , Zheng Zhang , Dan Xia , Yu-Bing Chang , Jingwu Yao , Joseph Manak
Abstract: An apparatus and method are provided for computed tomography (CT) imaging to reduce artifacts due to objects outside the field of view (FOV) of a reconstructed image. The artifacts are suppressed by using an iterative reconstruction method to minimize a cost function that includes a de-emphasis operator. The de-emphasis operator operates in the data domain, and minimizes the contributions of data inconsistencies arising from attenuation due to objects outside the FOV. This can be achieved by penalizing images that manifest indicia of artifacts due to outside objects especially those outside objects have high-attenuation densities and minimizing components of the data inconsistency likely attributable to the outside object.
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4.发明授权公开(公告)号：US10650522B2
公开(公告)日：2020-05-12
申请号：US16411796
申请日：2019-05-14
Applicant: Canon Medical Systems Corporation
Inventor： Yiemeng Hoi , Joseph Manak , Kazumasa Arakita , Jingwu Yao , James Begelman , Victor Gorin
Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires image data including image data of a blood vessel of a subject. The processing circuitry performs analysis related to the blood vessel by using the image data, and specifies a region of interest in the blood vessel based on a result of the analysis. The processing circuitry performs fluid analysis on a region other than the region of interest at a first accuracy, and performs fluid analysis on the region of interest at a second accuracy that is higher than the first accuracy.
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5.发明申请公开(公告)号：US20190266729A1
公开(公告)日：2019-08-29
申请号：US16411796
申请日：2019-05-14
Applicant: Canon Medical Systems Corporation
Inventor： Yiemeng Hoi , Joseph Manak , Kazumasa Arakita , Jingwu Yao , James Begelman , Victor Gorin
Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires image data including image data of a blood vessel of a subject. The processing circuitry performs analysis related to the blood vessel by using the image data, and specifies a region of interest in the blood vessel based on a result of the analysis. The processing circuitry performs fluid analysis on a region other than the region of interest at a first accuracy, and performs fluid analysis on the region of interest at a second accuracy that is higher than the first accuracy.
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Patent Agency Ranking
6.发明授权公开(公告)号：US11723619B2
公开(公告)日：2023-08-15
申请号：US17206866
申请日：2021-03-19
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor： John Baumgart , Joseph Manak
Abstract: A system and a method by which multiple regions or objects of interest can be indicated within an X-ray image, from which a user can select a primary region or object of interest and accordingly adjust the appropriate X-ray dose for obtaining a better quality image of the selected regions or objects of interest.
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公开(公告)号：US10702234B2
公开(公告)日：2020-07-07
申请号：US15439657
申请日：2017-02-22
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor： Amit Jain , Joseph Manak , Haruki Iwai
Abstract: A method and apparatus is provided to generate two X-ray projection images, using different focal-spot sizes in the X-ray source. The large and small focal-spot images have different image qualities (e.g., different signal-to-noise rations (SNR) and different resolution). The two images are combined, in either the spatial or frequency domains, to generate a combined image, exhibiting the best attributes of the constitutive small and large focal-spot images. In the spatial domain, change regions and uniform regions are determined based on spatial variations within the images, and the superposition generating the combined image weights the small focal-spot image more in the change regions and the large focal-spot image more in the uniform regions. In the frequency domain, the combined image superimposes low-frequency components of the large focal-spot image with high-frequency components of the small focal-spot image.
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8.发明授权公开(公告)号：US12165326B2
公开(公告)日：2024-12-10
申请号：US17883698
申请日：2022-08-09
Applicant: Canon Medical Systems Corporation
Inventor： Yiemeng Hoi , Joseph Manak , Kazumasa Arakita , Jingwu Yao , James Begelman , Victor Gorin
Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires image data including image data of a blood vessel of a subject. The processing circuitry performs analysis related to the blood vessel by using the image data, and specifies a region of interest in the blood vessel based on a result of the analysis. The processing circuitry performs fluid analysis on a region other than the region of interest at a first accuracy, and performs fluid analysis on the region of interest at a second accuracy that is higher than the first accuracy.
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9.发明公开公开(公告)号：US20240193742A1
公开(公告)日：2024-06-13
申请号：US18063379
申请日：2022-12-08
Applicant: Canon Medical Systems Corporation
Inventor： Rui Hua , Haruki Iwai , Joseph Manak
CPC classification number: G06T5/002 , G06T5/50 , G06V10/26 , G16H30/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/30068 , G06T2207/30096
Abstract: Systems and methods are provided for generating training data for training a neural network. The neural network may be a machine learning model. The neural network may be a U-Net neural network. Training data for training a neural network may be generated by combining X-ray image data and non-X-ray image data. Training data for training a neural network may be generated by superimposing data having a characteristic related to a lesion onto X-ray image data. The superimposed data may be used to simulate calcification features in mammographic images. Processing circuitry is configured to perform noise reduction by inputting an input image of a breast into a trained machine-learning model to output an output image in which noise included in the input image is reduced in the output image while leaving a characteristic of a lesion included in the input image undeleted in the output image.
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公开(公告)号：US11707246B2
公开(公告)日：2023-07-25
申请号：US17070546
申请日：2020-10-14
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor： Weifeng Shang , Joseph Manak , John Baumgart
CPC classification number: A61B6/542 , A61B6/487 , A61B6/5258 , G06T7/11 , G06T2207/10121 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004
Abstract: A method of imaging includes obtaining a first image including projection data representing an intensity of X-rays detected by a plurality of detectors at a first X-ray exposure setting, the X-rays being emitted from an X-ray source; based on a detection result of a first object in the first image: determining a background region of interest (ROI) around the first object, the background ROI including background ROI pixels having a first intensity value corresponding to the intensity of the X-rays; and converting, for each pixel of the background ROI pixels, the first intensity values of the background ROI pixels to a normalized X-ray attenuation factor; and determining a second X-ray exposure setting for use in obtaining a second image based on the background ROI pixels converted to the normalized X-ray attenuation factor.
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