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公开(公告)号:US20240188909A1
公开(公告)日:2024-06-13
申请号:US18584941
申请日:2024-02-22
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Takuya SAKAGUCHI , Kyojiro NAMBU , Hisato TAKEMOTO
CPC classification number: A61B6/12 , A61B6/4441 , A61B6/461 , A61B6/486 , A61B6/504 , A61B6/5205 , G06T7/0012 , G06T7/11 , G06T7/246 , A61B5/318 , A61B6/481 , G06T2207/10116 , G06T2207/10121 , G06T2207/20104 , G06T2207/20164 , G06T2207/30021 , G06T2207/30048 , G06T2207/30052 , G06T2207/30101 , G06T2207/30204
Abstract: A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image.
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2.
公开(公告)号:US12002376B2
公开(公告)日:2024-06-04
申请号:US17046571
申请日:2019-04-12
Applicant: RIKEN , UNIVERSITY OF THE RYUKYUS
Inventor: Hideo Yokota , Yusuke Ohya , Masashi Iwabuchi
CPC classification number: G09B23/286 , G03B11/00 , G03B15/03 , G06T7/0012 , H04N7/183 , H04N23/56 , A61M2025/0166 , G03B2215/0557 , G03B2215/0589 , G06T2207/10064 , G06T2207/30021
Abstract: Provided is a system that enables training for catheter surgery without using radiation. The system offering training for catheter surgery includes: a light source; a blood vessel model to which a catheter having a fluorescent agent applied thereto is inserted; a tank in which the blood vessel model is placed; a filter for rejecting white light that is not transmitted through the blood vessel model, of illuminating light from the light source; a camera for imaging fluorescence transmitted through the filter; a driver for changing the attitude of the light source; and a computer that performs a process of reversing black and white of an image signal output from the camera.
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公开(公告)号:US20240037773A1
公开(公告)日:2024-02-01
申请号:US17874214
申请日:2022-07-26
Applicant: Biosense Webster (Israel) Ltd.
Inventor: Assaf Govari
CPC classification number: G06T7/70 , G06T15/005 , G06T2207/30021
Abstract: A technique is described herein. The technique includes receiving endpoint location data in a geometry shader; processing the endpoint location data to calculate Bezier curve control points; and based on the Bezier curve control points, determining estimated electrode positions for the catheter.
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公开(公告)号:US20240037741A1
公开(公告)日:2024-02-01
申请号:US18360366
申请日:2023-07-27
Inventor: Ting-Ying Chien , Hsiao-Huang Chang
IPC: G06T7/00 , G06V10/764 , G06V10/10 , G06T7/70 , G06T7/11
CPC classification number: G06T7/0012 , G06V10/764 , G06V10/16 , G06T7/70 , G06T7/11 , G06V2201/03 , G06T2207/30108 , G06T2207/30048 , G06T2207/30021 , G06T2207/20081 , G06T2207/20084 , A61B6/481
Abstract: A cardiac catheterization image recognition and evaluation method is disclosed. The first deep learning algorithm is used to conduct an object recognition process on the cardiac catheterization image to obtain the vessel object image. The image processing process is conducted to the cardiac catheterization image to obtain the vessel location image. The vessel object image and the vessel location image are combined to obtain the vessel contour image. The vessel type judging process is conducted to the vessel contour image to determine the type of vessel in the cardiac catheterization image. The second deep learning algorithm is used on the vessel contour image to detect the vessel occlusion location and to judge the vessel occlusion rate. Based on the type of vessel and the vessel occlusion rate at the vessel occlusion location, the cardiac catheterization image is evaluated to obtain the SYNTAX Score.
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5.
公开(公告)号:US20240013390A1
公开(公告)日:2024-01-11
申请号:US18473584
申请日:2023-09-25
Applicant: TERUMO KABUSHIKI KAISHA
Inventor: Katsuhiko SHIMIZU , Hiroyuki ISHIHARA , Yasukazu SAKAMOTO , Shunsuke YOSHIZAWA , Kazuhiro SATOMI , Yoshinao YAZAKI
CPC classification number: G06T7/0012 , G06T7/66 , G06V10/761 , G16H30/20 , G16H30/40 , G06T2207/10072 , G06T2207/30021 , G06T2207/30204
Abstract: 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:US11712213B2
公开(公告)日:2023-08-01
申请号:US17142642
申请日:2021-01-06
Applicant: Covidien LP
Inventor: Ron Barak , Ariel Birenbaum , Guy Alexandroni , Oren P. Weingarten
IPC: G06T7/73 , G06T7/77 , G06T7/70 , A61B6/00 , A61B5/055 , A61B34/20 , A61B1/04 , A61B1/00 , A61B90/00 , A61B5/06 , A61B6/03
CPC classification number: A61B6/487 , A61B1/00158 , A61B1/043 , A61B5/055 , A61B5/064 , A61B34/20 , A61B90/36 , A61B90/39 , G06T7/70 , G06T7/73 , G06T7/75 , G06T7/77 , A61B1/0005 , A61B1/042 , A61B6/032 , A61B2034/2051 , A61B2034/2055 , A61B2090/364 , A61B2090/3983 , G06T2207/10016 , G06T2207/10068 , G06T2207/10081 , G06T2207/10088 , G06T2207/10121 , G06T2207/30021 , G06T2207/30208 , G06T2207/30244
Abstract: A system and method for estimating a pose of an imaging device for one or more images is provided.
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公开(公告)号:US20230230262A1
公开(公告)日:2023-07-20
申请号:US18125213
申请日:2023-03-23
Applicant: LightLab Imaging, Inc.
Inventor: Lorina Dascal , Itai Winkler
CPC classification number: G06T7/33 , G06T7/73 , G06T7/0014 , A61B6/504 , A61B6/5247 , G06T2207/30104 , G06T2207/30204 , G06T2207/10101 , G06T2207/10132 , G06T2207/10116 , G06T2207/10016 , G06T2207/30021
Abstract: The disclosure relates generally to the field of vascular system and peripheral vascular system data collection, imaging, image processing and feature detection relating thereto. In part, the disclosure more specifically relates to methods for detecting position and size of contrast cloud in an x-ray image including with respect to a sequence of x-ray images during intravascular imaging. Methods of detecting and extracting metallic wires from x-ray images are also described herein such as guidewires used in coronary procedures. Further, methods for of registering vascular trees for one or more images, such as in sequences of x-ray images, are disclosed. In part, the disclosure relates to processing, tracking and registering angiography images and elements in such images. The registration can be performed relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT) or intravascular ultrasound (IVUS).
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公开(公告)号:US11687834B2
公开(公告)日:2023-06-27
申请号:US17131341
申请日:2020-12-22
Applicant: Gabriel Fine , Nathan Silberman
Inventor: Gabriel Fine , Nathan Silberman
IPC: G06T7/70 , G06N20/00 , G06T7/00 , A61B34/10 , A61B34/20 , G16H30/20 , G06T7/73 , G16H50/50 , G16H40/63 , G16H30/40 , G06N3/08 , G06F18/2413 , G06N3/044 , G06N3/045 , G06V30/19 , G06V10/82 , A61B90/00 , A61F2/01
CPC classification number: G06N20/00 , A61B34/10 , A61B34/20 , G06F18/2414 , G06N3/044 , G06N3/045 , G06N3/08 , G06T7/0016 , G06T7/70 , G06T7/75 , G06V10/82 , G06V30/19173 , G16H30/20 , G16H30/40 , G16H40/63 , G16H50/50 , A61B2034/102 , A61B2034/2051 , A61B2034/2065 , A61B2090/367 , A61B2090/376 , A61F2/01 , A61F2/0105 , G06T2207/10072 , G06T2207/10081 , G06T2207/10088 , G06T2207/10116 , G06T2207/10121 , G06T2207/10132 , G06T2207/20084 , G06T2207/30021
Abstract: A system and method is disclosed for displaying augmented image data for invasive medical devices. A current orientation and a current position of the invasive medical device within a patient can be determined by applying a trained model of the invasive medical device to unannotated images of the invasive medical device as captured by an imaging device. The images of the invasive medical device can be displayed and overlaid with the current orientation and current position of the invasive medical device. User input can be received to initialize tracking of an orientation and a position of the invasive medical device as the invasive medical device is moved within the patient.
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公开(公告)号:US11681952B2
公开(公告)日:2023-06-20
申请号:US17130938
申请日:2020-12-22
Applicant: Gabriel Fine , Nathan Silberman
Inventor: Gabriel Fine , Nathan Silberman
IPC: G06T7/70 , G06T7/00 , A61B34/10 , A61B34/20 , G16H30/20 , G06K9/62 , G06T7/73 , G16H50/50 , G06N3/04 , G16H40/63 , G16H30/40 , G06N3/08 , G06V30/194 , G06N20/00 , A61B90/00 , A61F2/01
CPC classification number: G06T7/70 , A61B34/10 , A61B34/20 , G06K9/6273 , G06N3/0445 , G06N3/0454 , G06N3/08 , G06T7/0016 , G06T7/75 , G06V30/194 , G16H30/20 , G16H30/40 , G16H40/63 , G16H50/50 , A61B2034/102 , A61B2034/2051 , A61B2034/2065 , A61B2090/367 , A61B2090/376 , A61F2/01 , A61F2/0105 , G06N20/00 , G06T2207/10072 , G06T2207/10081 , G06T2207/10088 , G06T2207/10116 , G06T2207/10121 , G06T2207/10132 , G06T2207/20084 , G06T2207/30021
Abstract: A system and method is disclosed for augmenting image data of an invasive medical device using optical imaging. An optical imaging sensor, separate from the invasive medical device, can generate images of the medical device within a patient. A trained model for the invasive medical device can be trained on annotated images of the invasive medical device with orientation and distance information of the invasive medical device. An imaging computer system can apply the trained model to images of the invasive medical device within the patient to determine a current orientation and a current distance of the invasive medical device. The images of the invasive medical device as captured by the optical imaging sensor, visual orientation information representing the current orientation of the invasive medical device, and visual distance information representing the current distance of the invasive medical device within the patient can be displayed.
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公开(公告)号:US20180200003A1
公开(公告)日:2018-07-19
申请号:US15875457
申请日:2018-01-19
Applicant: ST. JUDE MEDICAL, CARDIOLOGY DIVISION, INC.
Inventor: Eric S. Olson
CPC classification number: A61B34/20 , A61B5/0422 , A61B5/0538 , A61B5/062 , A61B5/065 , A61B5/6852 , A61B18/1492 , A61B2017/00694 , A61B2017/00725 , A61B2018/00011 , A61B2018/00577 , A61B2034/2051 , A61B2034/2053 , A61B2034/2061 , A61B2034/2065 , A61B2090/0812 , A61B2562/06 , G06T7/0016 , G06T7/60 , G06T7/74 , G06T2207/10028 , G06T2207/30021 , G06T2207/30048
Abstract: A system and method are provided for determining one or more characteristics of a device. The system and method comprises initiating an algorithm to correct for shift and drift of a reference catheter (203), determining an initial shape and position of a portion of the reference catheter at time 0 when the algorithm is initiated (201), determining a current shape and position of the portion of the reference catheter at time t after the algorithm has been initiated (205), calculating a closest fit of the current shape and position of the portion of the reference catheter to the initial shape and position of the portion of the reference catheter by iteratively adjusting a set of solution parameters (209), and determining a minimal error solution parameter (211).
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