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公开(公告)号:US20190247004A1
公开(公告)日:2019-08-15
申请号:US16396356
申请日:2019-04-26
Applicant: HeartFlow, Inc.
Inventor: Charles A. Taylor , Leo Grady , Sethuraman Sankaran , Souma Sengupta , Hyun Jin Kim , Nan Xiao
CPC classification number: A61B6/563 , A61B5/026 , A61B6/032 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B8/06 , A61B8/481 , G06T7/0012 , G06T2207/10081 , G06T2207/30101 , G06T2207/30104 , G16H50/50
Abstract: Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes; receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patients vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.
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公开(公告)号:US20190236818A1
公开(公告)日:2019-08-01
申请号:US16253269
申请日:2019-01-22
Applicant: Siemens Healthcare GmbH , Universitat Zurich
Inventor: Andre Ritter , Christian Hofmann , Matthias Guckenberger , Stephanie Tanadini-Lang
CPC classification number: G06T11/008 , A61B6/032 , A61B6/0492 , A61B6/481 , A61B6/482 , A61B6/504 , A61B6/5235 , A61B6/5241 , A61B6/5264 , A61B6/527 , A61B6/5288 , G06T7/337 , G06T7/344 , G06T2207/10081 , G06T2207/20124 , G06T2207/20224 , G06T2207/30004 , G06T2211/408
Abstract: A method is for providing a medical image of a patient, acquired via a computed tomography apparatus. An embodiment of the method includes acquiring first projection data of a first measurement region; acquiring second projection data of a second measurement region; registering a reference image to the at least one respiration-correlated image of the patient, wherein the reference image corresponds to the at least one functional image of the patient or is reconstructed under a second reconstruction rule from the second projection data, to produce a deformation model; applying the deformation model to the at least one functional image of the patient; combining the at least one functional image of the patient, deformed by the applying of the deformation model, with the at least one respiration-correlated image of the patient, to produce the medical image of the patient; and providing the medical image of the patient.
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公开(公告)号:US20190209252A1
公开(公告)日:2019-07-11
申请号:US16201787
申请日:2018-11-27
Applicant: Auris Health, Inc.
Inventor: Sean Paul Walker , Curtis Caton , Terence Welsh , Neha Virmani , Yu Chiu , June Park
CPC classification number: A61B34/37 , A61B5/055 , A61B5/066 , A61B5/7425 , A61B6/032 , A61B6/504 , A61B34/20 , A61B34/25 , A61B34/30 , A61B2034/107 , A61B2034/2051 , A61B2034/2061 , A61B2034/301 , A61B2090/365 , A61B2090/374 , A61B2090/376 , A61B2090/3762 , A61B2090/3966
Abstract: Systems and methods for driving a flexible medical instrument to a target in an anatomical space with robotic assistance are described herein. The flexible instrument may have a tracking sensor embedded therein. An associated robotic control system may be provided, which is configured to register the flexible instrument to an anatomical image using data from the tracking sensor and identify one or more movements suitable for navigating the instrument towards an identified target. In some embodiments, the robotic control system drives or assists in driving the flexible instrument to the target.
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公开(公告)号:US20190200880A1
公开(公告)日:2019-07-04
申请号:US16291825
申请日:2019-03-04
Applicant: Siemens Healthcare GmbH
Inventor: Puneet Sharma , Ali Kamen , Bogdan Georgescu , Frank Sauer , Dorin Comaniciu , Yefeng Zheng , Hien Nguyen , Vivek Kumar Singh
IPC: A61B5/026 , G16H50/50 , A61B6/03 , G16H50/20 , G16H50/30 , A61B8/06 , A61B6/00 , A61B5/00 , G06T7/00 , G06T7/20 , G06K9/62 , G06K9/46
CPC classification number: A61B5/026 , A61B5/0261 , A61B5/0263 , A61B5/7264 , A61B5/7267 , A61B5/7282 , A61B6/032 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B6/563 , A61B8/06 , A61B8/0891 , A61B8/12 , A61B8/5223 , A61B8/565 , G06K9/46 , G06K9/6256 , G06T7/0012 , G06T7/0016 , G06T7/20 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , G06T2207/30104 , G06T2211/404 , G16H50/20 , G16H50/30 , G16H50/50
Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
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公开(公告)号:US20190192012A1
公开(公告)日:2019-06-27
申请号:US16291916
申请日:2019-03-04
Applicant: CathWorks Ltd.
Inventor: Guy Lavi , Uri Merhav
IPC: A61B5/02 , A61B34/10 , G16H50/50 , A61B6/00 , G06T7/00 , G16H50/30 , A61B5/107 , A61B5/00 , A61B8/08
CPC classification number: A61B5/02007 , A61B5/1075 , A61B5/7264 , A61B5/7275 , A61B6/504 , A61B6/5217 , A61B8/0891 , A61B8/5223 , A61B34/10 , A61B2034/107 , A61B2576/00 , G06F19/00 , G06T7/0012 , G06T2207/10072 , G06T2207/30101 , G16H50/30 , G16H50/50
Abstract: An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a stenosis determiner configured to receive a computerized model of a plurality of vascular segments of a patient, and analyze the model to determine locations of potential lesions. The example device further includes a vascular state score calculator configured to, for each potential lesion, determine a vascular state scoring tool (“VSST”) score based on at least one of a size of the potential lesion, a distance of the potential lesion from a branch point in the plurality of vascular segments, and a distance of the potential lesion to an adjacent potential lesion. The example device also includes a user interface configured to display the VSST scores for the potential lesions.
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公开(公告)号:US20190167367A1
公开(公告)日:2019-06-06
申请号:US16265818
申请日:2019-02-01
Applicant: Auris Health, Inc.
Inventor: Sean Walker , Curtis Caton , Terence Welsh , Neha Virmani , Yu Chiu , June Park
CPC classification number: A61B34/37 , A61B5/055 , A61B5/066 , A61B5/7425 , A61B6/032 , A61B6/504 , A61B34/20 , A61B34/25 , A61B34/30 , A61B2034/107 , A61B2034/2051 , A61B2034/2061 , A61B2034/301 , A61B2090/365 , A61B2090/374 , A61B2090/376 , A61B2090/3762 , A61B2090/3966
Abstract: Systems and methods for driving a flexible medical instrument to a target in an anatomical space with robotic assistance are described herein. The flexible instrument may have a tracking sensor embedded therein. An associated robotic control system may be provided, which is configured to register the flexible instrument to an anatomical image using data from the tracking sensor and identify one or more movements suitable for navigating the instrument towards an identified target. In some embodiments, the robotic control system drives or assists in driving the flexible instrument to the target.
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公开(公告)号:US20190138694A1
公开(公告)日:2019-05-09
申请号:US15804860
申请日:2017-11-06
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Hui Tang
CPC classification number: G16H50/30 , A61B6/032 , A61B6/503 , A61B6/504 , A61B6/5217 , A61B6/5235 , G06F19/321 , G06K9/6256 , G06K9/6267 , G06K2209/051 , G06T7/0014 , G06T7/136 , G06T2207/10081 , G06T2207/20128 , G06T2207/20132 , G06T2207/30048 , G06T2207/30101
Abstract: Automatic characterization of the Agatston score from coronary computed tomography (CT) is provided. In various embodiments, a plurality of coronary computed tomography images are segmented into a plurality of segments corresponding to features of coronary anatomy. A plurality of calcium candidates are extracted from the plurality of coronary computed tomography images by thresholding. Coronary calcification is located in the coronary computed tomography images by applying a trained classifier to the plurality of calcium candidates. An Agatson score is computed from the located calcification.
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公开(公告)号:US20190105008A1
公开(公告)日:2019-04-11
申请号:US15728546
申请日:2017-10-10
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood , Hongzhi Wang
CPC classification number: A61B6/5217 , A61B6/03 , A61B6/504 , A61B6/507 , G06F16/51 , G06F16/5838 , G06F19/321 , G06F19/325 , G06T7/0014 , G06T7/62 , G06T2207/10072 , G06T2207/30101 , G06T2207/30204 , G16H50/20
Abstract: According to one or more embodiments, a method, a computer program product, and a computer system for detecting and characterizing aortic pathologies are provided. The method may include receiving, by a computer, one or more tomograph scan images corresponding to a patient's aorta. The one or more received tomograph scan images may be analyzed by the computer for one or more image features associated with one or more aortic pathologies, such as aortic dissection or an aortic aneurysm. One or more image features associated with the one or more aortic pathologies may be identified in the one or more analyzed tomograph scan images, which may allow the determination of an aortic pathology associated with the patient's aorta based on the identification of the image features. A portion of the aorta and one or more branch arteries corresponding to the determined aortic pathology may then be identified.
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89.
公开(公告)号:US20190099145A1
公开(公告)日:2019-04-04
申请号:US15719656
申请日:2017-09-29
Applicant: Infinitt Healthcare Co., Ltd.
Inventor: Han Young Kim
CPC classification number: A61B6/504 , A61B5/0062 , A61B5/02007 , A61B6/463 , A61B6/507 , A61B6/5235
Abstract: Disclosed are a computing system and method for identifying and visualizing a thrombosis. The method includes: registering an acquired computer tomography (CT) image of an examinee and a computer tomography angiography (CTA) image-based average standard model to each other; identifying a candidate blood vessel region from the CT image based on the results of the registration; acquiring a volume, selected by applying a threshold value for the brightness of the CT image to the candidate blood vessel region, as a first thrombosis candidate region; acquiring at least part of the first thrombosis candidate region as a second thrombosis candidate region based on the size information of the first thrombosis candidate region; and visualizing the second thrombosis candidate region by assigning a visual effect, adapted to distinguish the second thrombosis candidate region from the remaining portion of the CT image, to the second thrombosis candidate region.
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公开(公告)号:US20190090830A1
公开(公告)日:2019-03-28
申请号:US16144843
申请日:2018-09-27
Applicant: SHENYANG NEUSOFT MEDICAL SYSTEMS CO., LTD.
Inventor: Shang GAO
IPC: A61B6/00
CPC classification number: A61B6/4447 , A61B6/032 , A61B6/035 , A61B6/4007 , A61B6/4014 , A61B6/4085 , A61B6/4405 , A61B6/4411 , A61B6/4441 , A61B6/4464 , A61B6/504
Abstract: An imaging system is provided. The imaging system comprises a first imaging device and a second gantry. The first imaging device comprises a first gantry, a first X-ray source provided on the first gantry and a first detector that is opposed to the first X-ray source and provided on the first gantry. The first imaging device is used to execute a first imaging mode. The second gantry is separably connected with the first gantry, and executes a second imaging mode combined.
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