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公开(公告)号:US11540718B2
公开(公告)日:2023-01-03
申请号:US15103053
申请日:2014-12-05
发明人: Irina Waechter-Stehle , Sabine Mollus , Christian Buerger , Emil George Radulescu , Sheng-Wen Huang , Juergen Weese
摘要: An imaging steering apparatus includes sensors and an imaging processor configured for: acquiring, via multiple ones of the sensors and from a current position (322), and current orientation (324), an image of an object of interest; based on a model, segmenting the acquired image; and determining, based on a result of the segmenting, a target position (318), and target orientation (320), with the target position and/or target orientation differing correspondingly from the current position and/or current orientation. An electronic steering parameter effective toward improving the current field of view may be computed, and a user may be provided instructional feedback (144) in navigating an imaging probe toward the improving. A robot can be configured for, automatically and without need for user intervention, imparting force (142) to the probe to move it responsive to the determination.
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公开(公告)号:US11406351B2
公开(公告)日:2022-08-09
申请号:US16619216
申请日:2018-05-30
摘要: Provided is a method (200) for generating a combined anatomical model of a heart. The method comprises receiving (220) a non-contrast agent-enhanced ultrasound image of a left ventricular region of the heart and receiving (240) a contrast agent-enhanced ultrasound image of the left ventricular region of the heart. Image registration (260) is performed on the respective non-contrast agent-enhanced and contrast agent-enhanced ultrasound images, such that the respective images are aligned. Combined segmentation (270) of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images is then carried out to generate the combined anatomical model. The combined segmentation (270) uses features of both of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images as target points. Further provided is a processor arrangement adapted to implement the method and an ultrasound system comprising the processor arrangement. A computer program product comprising computer program code means adapted to implement the method is also provided.
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公开(公告)号:US11134917B2
公开(公告)日:2021-10-05
申请号:US16061352
申请日:2016-12-01
发明人: Vincent Adrianus Henneken , Antonia Cornelia Van Rens , Roland Wilhelmus Maria Bullens , Arjen Van Der Horst , Ke Wang , Frank Michael Weber , Irina Waechter-Stehle
摘要: Disclosed are an imaging system (10) or an interventional tool, such as a catheter (20), having a first ultrasound transducer array (23) and a second ultrasound transducer array (21) spaced by a fixed distance (D) from each other; wherein both arrays may be used to generate diagnostic images; and a processing arrangement (31, 32) to process a first sensor signal indicative of the first array imaging a reference location (X) at a first point in time, and to process a second sensor signal indicative of the second array imaging the reference location at a second point in time; and determine a translation (pullback) speed of the catheter from the set distance and the difference between the first point in time and the second point in time. Alternatively, a catheter may be provided comprising an ultrasound transducer array at a distal end of the catheter, and two pressure sensors for determining the translation speed.
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公开(公告)号:US10929951B2
公开(公告)日:2021-02-23
申请号:US16553211
申请日:2019-08-28
发明人: Emil George Radulescu , Ivan Salgo , Sheng-Wen Huang , Ramon Quido Erkamp , Shougang Wang , Irina Waechter-Stehle , Christian Buerger , Sabine Mollus , Juergen Weese
IPC分类号: G06T3/00 , G06T7/10 , G06T7/73 , A61B8/08 , A61B8/00 , G01S7/52 , G01S15/89 , H04N5/232 , G06T7/00 , H04N7/18 , A61B8/06
摘要: An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the feedback does not include a grayscale depiction of the image data. Coordinate system transformations corresponding to respective comparisons may be computed. The selecting may be based upon and dynamically responsive to content of imaging being dynamically acquired via the probe.
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公开(公告)号:US20180235577A1
公开(公告)日:2018-08-23
申请号:US15314327
申请日:2015-06-09
CPC分类号: A61B8/5246 , A61B8/0883 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T7/174 , G06T2207/10136 , G06T2207/20061 , G06T2207/20112 , G06T2207/20124 , G06T2207/30048
摘要: The present invention relates to a medical image processing device (10), comprising:—a receiving unit (60) for receiving a first and a second medical image (72, 74) of an anatomical object of interest (84), wherein each of the first and the second medical images (72, 74) comprises a different field of view of the anatomical object of interest (84), and wherein the first medical image and the second medical image (72, 74) show a same or similar anatomical state of the anatomical object of interest (84);—a registration unit (64) that is configured to determine a transformation from an image space of the second medical image (74) to an image space of the first medical image (72);—a transformation unit (66) that is configured to transform the second medical image (74) into the image space of the first medical image (72) based on said transformation in order to receive a transformed second medical image (74′); and—a segmentation unit (68) that is configured to perform an overall segmentation that makes use of both the first medical image (72) and the transformed second medical image (74′) without fusing the first medical image (72) and the transformed second medical image (74′), wherein one and the same segmentation model (92) is simultaneously adapted to both the first medical image (72) and the transformed second medical image (74′) by identifying a first set of feature points (80) of the anatomical object of interest (84) within the first medical image (72), by identifying a second set of feature points (82) of the anatomical object of interest (84) within the transformed second medical image (74′), and by adapting the segmentation model (92) to both the first and the second set of feature points (80, 82).
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16.
公开(公告)号:US20170091934A1
公开(公告)日:2017-03-30
申请号:US15310844
申请日:2015-05-05
IPC分类号: G06T7/00
CPC分类号: G06T7/0012 , G06T7/11 , G06T7/149 , G06T7/174 , G06T2207/10132 , G06T2207/30044
摘要: A model-based segmentation system includes a plurality of clusters (48), each cluster being formed to represent an orientation of a target to be segmented. One or more models (140) are associated with each cluster. The one or more models include an aspect associated with the orientation of the cluster, for example, the appearance of the target to be segmented. A comparison unit (124), configured in memory storage media, is configured to compare an ultra-sound image to the clusters to determine a closest matching orientation and is configured to select the one or more models based upon the cluster with the closest matching orientation. A model adaptation module (126) is configured to adapt the one or more models to the ultrasound image.
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17.
公开(公告)号:US11510651B2
公开(公告)日:2022-11-29
申请号:US16904840
申请日:2020-06-18
发明人: Irina Waechter-Stehle , Frank Michael Weber , Christian Buerger , Robert Joseph Schneider , David Prater , Scott Holland Settlemier , Michael Daniel Cardinale
摘要: An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.
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公开(公告)号:US11413006B2
公开(公告)日:2022-08-16
申请号:US16093175
申请日:2017-04-13
摘要: The present invention provides an improved ultrasound imaging system arranged to evaluate a set of acquired 3D image data in order to provide a compounded 3D image of a fetus irrespective of its position and movement. This is achieved by providing an ultrasound imaging system comprising: an ultrasound probe having an ultrasound transducer array operable to acquire at different look directions a plurality of three dimensional (3D) ultrasound image frames of a volumetric region comprising a fetus; a compound image memory for storing the acquired plurality of the 3D ultrasound image frames and an articulated fetal model with a common fetal structure; an ultrasound image processor responsive to the plurality of 3D ultrasound image frames, said processor comprising a fetal segmentation unit arranged to segment each 3D image frame based on the articulated fetal model thereby providing a plurality of spatially related 3D images of the volumetric region; and an image quality analyzer coupled to the segmentation unit and arranged to determine, based on the articulated fetal model, an overall confidence value of the plurality of the 3D images, said image quality analyzer is further arranged to compare the overall confidence value with an image compounding threshold.
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公开(公告)号:US11100665B2
公开(公告)日:2021-08-24
申请号:US16493386
申请日:2018-03-05
摘要: The application discloses a computer-implemented method (100) of providing a model for estimating an anatomical body measurement value from at least one 2-D ultrasound image including a contour of the anatomical body, the method comprising providing (110) a set of 3-D ultrasound images of the anatomical body; and, for each of said 3-D images, determining (120) a ground truth value of the anatomical body measurement; generating (130) a set of 2-D ultrasound image planes each including a contour of the anatomical body, and for each of the 2-D ultrasound image planes, extrapolating (140) a value of the anatomical body measurement from at least one of an outline contour measurement and a cross-sectional measurement of the anatomical body in the 2-D ultrasound image plane; and generating (150) said model by training a machine-learning algorithm to generate an estimator function of the anatomical body measurement value from at least one of a determined outline contour measurement and a determined cross-sectional measurement of a contour of the anatomical body within a 2-D ultrasound image using the obtained ground truth values, extrapolated values and at least one of the outline contour measurements and the cross-sectional measurements as inputs of said machine-learning algorithm. A computer-implemented method of deploying such a model, a computer program product, an ultrasound image processing apparatus and an ultrasound imaging system adapted to implement such methods are also disclosed.
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公开(公告)号:US10993700B2
公开(公告)日:2021-05-04
申请号:US15314327
申请日:2015-06-09
摘要: The present invention relates to a medical image processing device (10), comprising: —a receiving unit (60) for receiving a first and a second medical image (72, 74) of an anatomical object of interest (84), wherein each of the first and the second medical images (72, 74) comprises a different field of view of the anatomical object of interest (84), and wherein the first medical image and the second medical image (72, 74) show a same or similar anatomical state of the anatomical object of interest (84); —a registration unit (64) that is configured to determine a transformation from an image space of the second medical image (74) to an image space of the first medical image (72); —a transformation unit (66) that is configured to transform the second medical image (74) into the image space of the first medical image (72) based on said transformation in order to receive a transformed second medical image (74′); and —a segmentation unit (68) that is configured to perform an overall segmentation that makes use of both the first medical image (72) and the transformed second medical image (74′) without fusing the first medical image (72) and the transformed second medical image (74′), wherein one and the same segmentation model (92) is simultaneously adapted to both the first medical image (72) and the transformed second medical image (74′) by identifying a first set of feature points (80) of the anatomical object of interest (84) within the first medical image (72), by identifying a second set of feature points (82) of the anatomical object of interest (84) within the transformed second medical image (74′), and by adapting the segmentation model (92) to both the first and the second set of feature points (80, 82).
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