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1.
公开(公告)号:US20240016474A1
公开(公告)日:2024-01-18
申请号:US18473370
申请日:2023-09-25
IPC分类号: A61B8/00
CPC分类号: A61B8/4254 , A61B8/463
摘要: An image processing device is an image processing device that displays an image representing a biological tissue on a display and displays an element representing a position of a sensor on a screen same as the image on the display, based on tomographic data acquired by the sensor moving in a lumen of the biological tissue, the image processing device including a control unit that, when a user operation of specifying a movement destination of the sensor is performed on the screen, controls movement of the sensor according to the user operation, and changes a relative position of the element to cause a position of the sensor after movement to be represented.
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2.
公开(公告)号:US20240013390A1
公开(公告)日:2024-01-11
申请号:US18473584
申请日:2023-09-25
发明人: Katsuhiko SHIMIZU , Hiroyuki ISHIHARA , Yasukazu SAKAMOTO , Shunsuke YOSHIZAWA , Kazuhiro SATOMI , Yoshinao YAZAKI
CPC分类号: G06T7/0012 , G06T7/66 , G06V10/761 , G16H30/20 , G16H30/40 , G06T2207/10072 , G06T2207/30021 , G06T2207/30204
摘要: An image processing device, with reference to tomographic data obtained using a sensor moving in a lumen of a biological tissue, displays an image representing the biological tissue on a display, and includes a control unit that acquires specification data specifying at least one location in a space corresponding to the tomographic data, identifies a direction of the at least one location from a centroid in a cross section of the biological tissue orthogonal to a movement direction of the sensor, the direction including the at least one location, as a specification direction, with reference to the tomographic data, identifies a position corresponding to the at least one location in the cross section as a corresponding position according to an identified specification direction and a position of the centroid, and performs control so that a mark is displayed at an identified corresponding position when the image is displayed.
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公开(公告)号:US20230133103A1
公开(公告)日:2023-05-04
申请号:US17974893
申请日:2022-10-27
IPC分类号: G06V10/774 , G06V10/25 , G06T7/00
摘要: A learning model generation method includes: acquiring training data from a training database that records a plurality of sets of a tomographic image acquired using a tomographic image acquisition probe, and correct answer classification data in which each of pixels included in the tomographic image is classified into a plurality of regions including a living tissue region and a non-living tissue region, in association with each other; acquiring thin-walled part data relating to a thin-walled part thinner than a predetermined threshold value, for a predetermined region in the correct answer classification data; and performing a parameter adjustment process for a learning model that outputs output classification data in which each of the pixels included in the tomographic image is classified into the plurality of regions, based on the training data and the thin-walled part data.
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公开(公告)号:US20240221366A1
公开(公告)日:2024-07-04
申请号:US18606892
申请日:2024-03-15
IPC分类号: G06V10/774 , A61B1/00 , G06V10/26 , G06V10/44 , G06V10/764
CPC分类号: G06V10/774 , A61B1/000096 , G06V10/267 , G06V10/457 , G06V10/764 , G06V2201/03
摘要: A learning model generation method for generating a learning model that aids understanding of an image acquired with an image-acquiring catheter. The learning model generation method includes: creating a division line that divides a lumen region into a first region into which the image-acquiring catheter is inserted and a second region reaching an edge of a two-dimensional image, when it is determined that the lumen region reaches an edge of the two-dimensional image; creating second classification data in which a probability of being the lumen region and a probability of being an extra-luminal region are allocated; recording the two-dimensional image associated with the second classification data in a training database; and generating a learning model that outputs third classification data in which an input two-dimensional image is classified into a plurality of regions including a living tissue region, the lumen region, and an extra-luminal region, by machine learning.
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5.
公开(公告)号:US20240108313A1
公开(公告)日:2024-04-04
申请号:US18476513
申请日:2023-09-28
发明人: Yasukazu SAKAMOTO , Shunsuke YOSHIZAWA , Clément JACQUET , Stephen TCHEN , Hector PITEAU , Edgar BAUCHER , Thomas HENN , Ryosuke SAGA
CPC分类号: A61B8/483 , A61B8/0858 , A61B8/466
摘要: An image processing device includes: a control unit configured to acquire a cross-sectional image obtained using a sensor configured to move in a lumen of a biological tissue for each position in a movement direction of the sensor, analyze the acquired cross-sectional image to calculate a centroid position of a cross section of the lumen in the cross-sectional image, and execute smoothing on a calculation result obtained for a plurality of positions in the movement direction of the sensor, and evaluate a difference between the calculated centroid position and a centroid position obtained as a result of the smoothing for each position in the movement direction of the sensor, thereby deriving a pulsation score representing expansion and contraction of the lumen in the acquired cross-sectional image by a numerical value.
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公开(公告)号:US20230260120A1
公开(公告)日:2023-08-17
申请号:US18190257
申请日:2023-03-27
发明人: Yasukazu SAKAMOTO , Katsuhiko SHIMIZU , Hiroyuki ISHIHARA , Shunsuke YOSHIZAWA , Thomas HENN , Clément JACQUET , Stephen TCHEN , Ryosuke SAGA
IPC分类号: G06T7/00 , G06V10/25 , G06V10/764 , G16H30/20
CPC分类号: G06T7/0012 , G06V10/25 , G06V10/764 , G16H30/20 , G06T2207/30021
摘要: An information processing device that assists understanding of an image acquired by an image acquisition catheter. The information processing device includes: an image acquisition unit that acquires a catheter image including an inner cavity obtained by an image acquisition catheter; a position information acquisition unit that acquires position information regarding a position of a medical instrument inserted into the inner cavity included in the catheter image; and a first data output unit that inputs the acquired catheter image and the acquired position information to a first trained model that, upon receiving input of the catheter image and the position information, outputs first data in which each region of the catheter image is classified into at least three of a biological tissue region, a medical instrument region where the medical instrument exists, and a non-biological tissue region, and outputs the first data.
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7.
公开(公告)号:US20240242396A1
公开(公告)日:2024-07-18
申请号:US18619745
申请日:2024-03-28
CPC分类号: G06T11/001 , G06T11/60 , G06T2210/41
摘要: An image processing device configured to cause a display to display, based on tomographic data acquired by a sensor moving in a lumen of a biological tissue, an image representing the biological tissue and display a first element on a screen same as the image, the first element representing a position of the sensor and being displaced as the sensor moves, the image processing device including a control unit configured to cause the display to display, upon receiving a user operation of requesting marking of the position of the sensor, a second element together with the first element, the second element being fixed at a position same as a position of the first element at time of the user operation.
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8.
公开(公告)号:US20240177834A1
公开(公告)日:2024-05-30
申请号:US18428352
申请日:2024-01-31
CPC分类号: G16H30/40 , A61B8/483 , A61B34/20 , G06T7/0012 , A61B2034/2055 , G06T2207/30048
摘要: An image processing device includes a control unit configured to determine, when an input is received of at least one cross-sectional image obtained using a sensor configured to move in a lumen of a biological tissue, whether a deformation spot that is on an inner surface of the biological tissue and that has been deformed by pressing an elongated medical device inserted into the lumen is included in the at least one cross-sectional image, and specify a position of the medical device based on a position of the deformation spot when it is determined that the deformation spot is included in the at least one cross-sectional image.
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公开(公告)号:US20230270418A1
公开(公告)日:2023-08-31
申请号:US18174877
申请日:2023-02-27
CPC分类号: A61B8/5276 , A61B8/12 , A61B8/4461
摘要: An ultrasound catheter capable of reducing noise in an ultrasound image by limiting reflection of ultrasound oscillated from a distal end side surface of a transducer. The ultrasound catheter includes: an elongated sheath; an ultrasound transducer; a shaft that supports the ultrasound transducer; and a cap that seals an opening portion of the sheath and has an X-ray opaque property. The cap includes an extension portion including a proximal portion facing the ultrasound transducer and an outer circumferential surface facing an inner circumferential surface of the sheath. The proximal portion includes an ultrasound scattering surface that scatters ultrasound from the ultrasound transducer. The outer circumferential surface includes a contact portion that is in contact with the inner circumferential surface of the sheath in a liquid-tight manner. The ultrasound scattering surface intersects with a virtual plane obtained by enlarging the ultrasound oscillation surface in an in-plane direction.
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公开(公告)号:US20240346653A1
公开(公告)日:2024-10-17
申请号:US18754817
申请日:2024-06-26
发明人: Yasukazu SAKAMOTO , Katsuhiko SHIMIZU , Hiroyuki ISHIHARA , Shunsuke YOSHIZAWA , Thomas HENN , Clement JACQUET , Stephen TCHEN , Ryosuke SAGA
CPC分类号: G06T7/0012 , G06T5/20 , G06T7/12 , G06T7/13 , G06T15/00 , G06V10/46 , G06V10/764 , G06T2207/30021 , G06T2207/30024
摘要: An information processing method for assisting a user to be capable of smoothly ascertaining necessary information. An information processing method causes a computer to execute processing for acquiring classification data in which pixels constituting biomedical image data indicating an internal structure of a living body are classified into a plurality of regions including a living tissue region in which a luminal region exists, the luminal region, and an extraluminal region outside the living tissue region, and generating region contour data, in which a portion where a thickness from an inner surface of the living tissue region facing the luminal region exceeds a predetermined threshold is removed from the living tissue region, based on the classification data.
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