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公开(公告)号：US11610676B2
公开(公告)日：2023-03-21
申请号：US16212650
申请日：2018-12-06
Applicant: KONICA MINOLTA, INC.
Inventor： Hiroaki Matsumoto , Hitoshi Futamura , Satoshi Kasai , Shinsuke Katsuhara , Tsuyoshi Kobayashi
Abstract: An information processing device includes: a plurality of identifiers that discriminates whether abnormal data that is information indicating an abnormal value is included in treatment data and detects the abnormal data; and a hardware processor that: customizes evaluation data used when evaluating discrimination accuracy of the plurality of identifiers; calculates the discrimination accuracy of each of the plurality of identifiers using the evaluation data customized by the hardware processor; and selects one identifier out of the plurality of identifiers as an identifier used for discrimination based on a calculation result by the hardware processor.
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公开(公告)号：US10748286B2
公开(公告)日：2020-08-18
申请号：US15863108
申请日：2018-01-05
Applicant: KONICA MINOLTA, INC.
Inventor： Satoshi Kasai , Akinori Tsunomori
IPC: G06K9/00 , G06T7/00 , G06K9/46 , G06T7/73 , A61B6/00 , G06K9/34 , G06K9/32 , G06T7/174 , G06T7/11 , A61B6/12
Abstract: A dynamic image processing apparatus includes a hardware processor. The hardware processor extracts (i) a region of interest and/or (ii) a frame image of interest from a series of frame images obtained by dynamic imaging of a subject. Further, the hardware processor stores, of the series of the frame images, only (i) the extracted region of interest, (ii) the extracted frame image of interest or (iii) the extracted region of interest in the extracted frame image of interest in a storage.
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公开(公告)号：US09947093B2
公开(公告)日：2018-04-17
申请号：US15145137
申请日：2016-05-03
Applicant: Konica Minolta, Inc.
Inventor： Akinori Tsunomori , Koichi Fujiwara , Sho Noji , Hitoshi Futamura , Satoshi Kasai
CPC classification number: G06T7/0012 , A61B5/026 , A61B5/7267 , A61B6/463 , A61B6/507 , A61B6/5217 , A61B6/5235 , G06K9/0053 , G06K9/46 , G06K9/4642 , G06K9/62 , G06K9/627 , G06K2209/051 , G06T7/0085 , G06T7/13 , G06T7/20 , G06T2207/10116 , G06T2207/20008 , G06T2207/30061 , G06T2207/30104
Abstract: A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.
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Patent Agency Ranking
公开(公告)号：US10223790B2
公开(公告)日：2019-03-05
申请号：US15196463
申请日：2016-06-29
Applicant: Konica Minolta, Inc.
Inventor： Satoshi Kasai , Akinori Tsunomori
Abstract: A dynamic analysis system includes a comparing unit and a display unit. The comparing unit extracts a lung field from each of dynamic images obtained by imaging a chest part containing a left lung and a right lung of a subject, specifies a corresponding point in a left part and a corresponding point in a right part of the lung field, and compares characteristic amounts at the respective corresponding points with each other. The display unit displays a result of the comparison made by the comparing unit together with the dynamic images or one of the dynamic images, or displays the result on the dynamic images or the one of the dynamic images.
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公开(公告)号：US11238590B2
公开(公告)日：2022-02-01
申请号：US16922557
申请日：2020-07-07
Applicant: Konica Minolta, Inc.
Inventor： Satoshi Kasai , Akinori Tsunomori
IPC: G06T7/00 , G06K9/00 , G06K9/46 , G06T7/73 , A61B6/00 , G06K9/34 , G06K9/32 , G06T7/174 , G06T7/11 , A61B6/12
Abstract: A dynamic image processing apparatus includes a hardware processor. The hardware processor extracts (i) a region of interest and/or (ii) a frame image of interest from a series of frame images obtained by dynamic imaging of a subject. Further, the hardware processor stores, of the series of the frame images, only (i) the extracted region of interest, (ii) the extracted frame image of interest or (iii) the extracted region of interest in the extracted frame image of interest in a storage.
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公开(公告)号：US10445855B2
公开(公告)日：2019-10-15
申请号：US15302846
申请日：2015-04-01
Applicant: ICAD, Inc. , Konica Minolta, Inc.
Inventor： David S. Harding , Sridharan Kamalakanan , Satoshi Kasai , Shinsuke Katsuhara , James H. Pike , Muhammad F. Sabir , Jeffrey C. Wehnes
IPC: G06K9/00 , G06T3/00 , A61B6/00 , G06T7/00 , G06T7/73 , G06T7/12 , G06K9/32 , G06K9/34 , G06K9/46 , G06T5/00
Abstract: Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyzes of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.
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公开(公告)号：US10242445B2
公开(公告)日：2019-03-26
申请号：US15913982
申请日：2018-03-07
Applicant: Konica Minolta, Inc.
Inventor： Akinori Tsunomori , Koichi Fujiwara , Sho Noji , Hitoshi Futamura , Satoshi Kasai
IPC: G06T7/00 , G06T7/13 , A61B5/00 , A61B6/00 , G06K9/46 , G06K9/62 , G06T7/20 , A61B5/026 , G06K9/00
Abstract: A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.
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8.发明申请公开(公告)号：US20170032535A1
公开(公告)日：2017-02-02
申请号：US15302846
申请日：2015-04-01
Applicant: iCAD, Inc. , Konica Minolta, Inc.
Inventor： David S. Harding , Sridharan Kamalakanan , Satoshi Kasai , Shinsuke Katsuhara , James H. Pike , Muhammad F. Sabir , Jeffrey C. Wehnes
CPC classification number: G06T3/0093 , A61B6/5211 , G06K9/3233 , G06K9/342 , G06K9/4647 , G06K2209/051 , G06T5/002 , G06T7/0012 , G06T7/12 , G06T7/75 , G06T2207/10116 , G06T2207/20036 , G06T2207/20076 , G06T2207/20116 , G06T2207/30008 , G06T2207/30061 , G06T2207/30064
Abstract: Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyses of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.
Abstract translation: 肺分割和骨抑制技术是在癌症筛查和其他体检之间可能发生的人类胸部放射照相分析之前的有用的预处理步骤。 自主肺分割可以从放射照相图像中去除伪边界像素，以及识别和改善肺边界。 此后，自主骨抑制可以使用各种图像处理技术来识别锁骨，后肋骨和前肋骨骨骼，包括翘曲和边缘检测。 然后可以从放射照相图像中抑制识别的锁骨，后肋骨和前肋骨，以产生分割的骨抑制的放射照相图像。
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