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公开(公告)号：US11334990B2
公开(公告)日：2022-05-17
申请号：US16660749
申请日：2019-10-22
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
Abstract: Provided are an information processing apparatus, an information processing method, and a program capable of accurately extracting a target region from a medical image. An information processing apparatus includes an extraction unit that extracts information indicating a physique of a subject from an image acquired by imaging the subject, a specification unit that specifies a group into which the subject is classified by using the information indicating the physique of the subject extracted by the extraction unit, and a generation unit that generates a learned model for each group through machine learning using, as learning data, image data indicating a medical image acquired by imaging the subject for each group and information indicating a region extracted from the medical image.
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公开(公告)号：US10278613B2
公开(公告)日：2019-05-07
申请号：US14747635
申请日：2015-06-23
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
Abstract: Extracting a tubular structure from volume data, determining a target region which should be reached by an endoscope through the tubular structure, extracting, among plurality on a route of the tubular structure, a point that satisfies a given condition as a target point that should be reached by a distal end portion of the endoscope, and identifying and determining a route of the tubular structure from a predetermined start point in the tubular structure to the extracted target point as a route through which the endoscope should be passed.
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公开(公告)号：US09646566B2
公开(公告)日：2017-05-09
申请号：US14619397
申请日：2015-02-11
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
CPC classification number: G09G5/02 , A61B6/46 , A61B6/463 , A61B6/50 , A61B6/503 , A61B6/5217 , G06F19/00 , G06T3/4007 , G06T7/0012 , G06T2207/10004 , G06T2207/10072 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048 , G06T2207/30061
Abstract: Providing a parameter calculation unit that calculates parameters representing medical functional information for pixel positions of the medical image, wherein the upper and lower limit values of the parameter medically represent the same functional information and whose value changes cyclically between these values, an interpolation parameter calculation unit that obtains, for a pixel position for which the parameter is not calculated, a parameter by interpolation, the unit calculating a parameter obtained by the interpolation using a cyclic function in which the interpolation direction differs according to the difference between the parameters calculated for two pixel positions, a display color group storage unit that includes a color group in which the same color corresponds to the upper and lower limit values of the parameter and whose color changes with the magnitude of the parameter, and a mapping unit that maps the parameters based on the color group.
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公开(公告)号：US10262402B2
公开(公告)日：2019-04-16
申请号：US14804794
申请日：2015-07-21
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
IPC: G06T7/12 , G06T5/20 , A61B5/055 , A61B6/03 , A61B6/00 , G06K9/46 , G06T7/00 , G06F3/0484 , G06K9/62
Abstract: A curved line correction apparatus includes a correction target receiving unit that receives selection of a correction target point when an instruction mark is placed on an arbitrary point on a curved line composed of a plurality of arranged points, a correction target range setting unit that sets a certain range of the curved line, including the correction target point, as a correction target range, and a correction unit that corrects a portion of the curved line within the correction target range by moving the correction target point and a point within the correction target range when movement of the instruction mark is received, in which the correction target range setting unit changes the size of the correction target range when an instruction input to change the range is received with the instruction mark being placed on the correction target point.
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公开(公告)号：US10198875B2
公开(公告)日：2019-02-05
申请号：US15909001
申请日：2018-03-01
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
Abstract: A mapping image display control device includes an organ region extraction unit that extracts an organ region from a three-dimensional-image, a tubular-structure-extraction unit that extracts a tubular structure in the organ region, a reaching-position-information-estimation unit that estimates pieces of reaching position information each of a position at which an extended line of a branch in the tubular structure reaches a surface of the organ region, a resection-region-information-acquisition unit that acquires information of a resection region in the organ region, a boundary-identifying-reaching-position-information-determination unit that determines pieces of boundary-identifying reaching position information used to identify a boundary of the resection region from among the pieces of reaching position information based on the information of the resection region, and a display-control unit that causes a mapping image in which the pieces of boundary-identifying reaching position information are mapped to the surface of the organ region to be displayed.
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Patent Agency Ranking
公开(公告)号：US10799100B2
公开(公告)日：2020-10-13
申请号：US15695588
申请日：2017-09-05
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
Abstract: An image processing device for an endoscope in which an operation of bending a distal end portion only within one endoscope bending plane including an axis of the distal end portion is allowed, the image processing device having a processor configured to acquire information of a course along which the endoscope travels in the luminal structure, the course being set based on a three-dimensional image indicating the luminal structure, and calculate a first rotation angle of the endoscope at a first branch in the course, the first rotation angle being an angle to match the one endoscope bending plane where the distal end portion is allowed to bend with a plane of the first branch, by a operation of rotation.
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公开(公告)号：US12062447B2
公开(公告)日：2024-08-13
申请号：US17210517
申请日：2021-03-24
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
CPC classification number: G16H50/20 , G06T7/0012 , G16H30/20 , G16H30/40 , G06T2207/30004
Abstract: The medical image diagnosis support device includes an image reception unit, an information reception unit that receives information corresponding to the received image, an extraction unit that extracts one or more applications corresponding to the received information and analyzing the received image, an activation unit that activates at least one of the extracted applications, and a display control unit that displays, in a case where a result of analysis executed in the past by the activated application exists for the received image, the result of analysis on a display unit.
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公开(公告)号：US11056149B2
公开(公告)日：2021-07-06
申请号：US15716003
申请日：2017-09-26
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
IPC: H04N13/00 , A61B1/04 , H04N9/80 , G11B27/10 , H04N5/91 , G06T19/00 , G06T7/00 , H04N5/76 , H04N9/82 , G06T7/70 , G06K9/00 , G06T15/08 , H04N9/87
Abstract: The medical image storage and reproduction apparatus includes: a storage unit that stores a motion picture obtained by imaging an imaging target; a virtual image generation unit that generates a virtual image based on a three-dimensional medical image captured in advance; a chapter information assignment unit that detects an anatomical feature or a functional feature from the virtual image corresponding to an updated frame according to updating of each frame of the motion picture and assigns chapter information to the motion picture based on the detection point in time; and a display control unit that displays a selection screen for receiving the selection of chapter information. The display control unit reproduces the motion picture based on the selected chapter information.
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公开(公告)号：US09449247B2
公开(公告)日：2016-09-20
申请号：US14958843
申请日：2015-12-03
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
CPC classification number: G06K9/4604 , G06K9/6267 , G06K2009/4666 , G06T7/0012 , G06T7/12 , G06T7/13 , G06T11/60 , G06T11/80 , G06T2207/20101 , G06T2207/30048
Abstract: An input to set a correction contour line inside one region from an operator is received, and a contour line of the one region is corrected so that the correction contour line becomes a part of a contour line after correction. In this case, when a start point of the correction contour line is located on a unique contour line of each region and an end point thereof is located on a contour line shared by the two regions, the contour line of the other region is maintained, and when the start point is located on the shared contour line and the end point is located on the unique contour line, the contour line of the other region is also corrected so that the correction contour line becomes the shared contour line in the contour lines of the two regions after the correction.
Abstract translation: 接收用于在操作者的一个区域内设定校正轮廓线的输入，并校正一个区域的轮廓线，使得校正轮廓线变为校正后的轮廓线的一部分。 在这种情况下，当校正轮廓线的起始点位于每个区域的唯一轮廓线上并且其终点位于由两个区域共享的轮廓线上时，保持另一区域的轮廓线， 并且当起始点位于共享轮廓线上并且终点位于唯一轮廓线上时，另一区域的轮廓线也被校正，使得校正轮廓线变为轮廓线中的共享轮廓线 这两个地区经过修正。
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公开(公告)号：US11925481B2
公开(公告)日：2024-03-12
申请号：US17241077
申请日：2021-04-27
Applicant: FUJIFILM Corporation
Inventor： Kenta Yamada
IPC: A61B5/00 , G06F18/2431 , G06N20/00 , G06T7/00 , G06V10/40 , G06V10/764 , G06V10/82 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/70
CPC classification number: A61B5/7267 , A61B5/0077 , A61B5/4504 , A61B5/7278 , G06F18/2431 , G06N20/00 , G06T7/0012 , G06V10/40 , G06V10/764 , G06V10/82 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/70 , A61B2576/00 , G06T2207/30008 , G06V2201/033
Abstract: Information representing a physique of a subject is extracted from an image obtained by imaging the subject. A group in which the subject is classified is specified, using the extracted information representing the physique of the subject. Image data representing a medical image obtained by imaging the subject is input to a learned model corresponding to a specified group among learned models obtained for each group by machine learning using learning data for each group. Information representing an area extracted from the medical image is acquired, which is output from the learned model with the input.
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