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公开(公告)号:US12130348B2
公开(公告)日:2024-10-29
申请号:US17793633
申请日:2021-01-15
Inventor: Arvin Forghanian-Arani , Joshua D. Trzasko , Yi Sui , Philip A. Araoz , Richard L. Ehman , John Huston, III
IPC: G01R33/563 , A61B5/00 , A61B5/055 , G01R33/48 , G06T11/00
CPC classification number: G01R33/56375 , A61B5/0051 , A61B5/055 , G01R33/4818 , G01R33/56358 , G06T11/003 , A61B5/0044 , G06T2210/41
Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.
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公开(公告)号:US12082920B2
公开(公告)日:2024-09-10
申请号:US18311031
申请日:2023-05-02
Applicant: INTUITIVE SURGICAL OPERATIONS, INC.
Inventor: Vincent Duindam , Prashant Chopra , Tao Zhao
CPC classification number: A61B5/066 , A61B5/0044 , A61B5/062 , A61B5/065 , A61B34/30 , G16Z99/00 , A61B2017/00699 , A61B2017/00809 , A61B2034/105 , A61B2034/2051 , A61B2034/2061 , A61B2034/301 , A61B2034/303 , A61B2505/05 , A61B2562/043
Abstract: A method and medical system for estimating the deformation of an anatomic structure that comprises generating a first model of at least one anatomical passageway from anatomical data describing a patient anatomy and determining a shape of a device positioned within the branched anatomical passageways. The method and medical system also comprise generating a second model of the plurality of branched anatomical passageways by adjusting the first model relative to the determined shape of the device.
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3.
公开(公告)号:US12064251B2
公开(公告)日:2024-08-20
申请号:US17013003
申请日:2020-09-04
Applicant: REGENTS OF THE UNIVERSITY OF MINNESOTA
Inventor: Bin He , Zhaoye Zhou
CPC classification number: A61B5/316 , A61B5/333 , A61B5/361 , A61B5/0037 , A61B5/0044 , A61B5/055 , A61B5/7278 , A61B5/7289 , A61B6/032 , A61B6/507 , A61B2576/023
Abstract: A system and method for non-invasively generating a report of cardiac electrical activities of a subject includes determining, using cardiac electrical activation information, equivalent current densities (ECDs). The ECDs are assembled into time-course ECD information and a spectrum of the time-course ECD information is analyzed to determine peaks for spectral characteristics of atrial fibrillation (AF). The spectral characteristics of AF are correlated with potential electrical sources of the AF and a report is generated indicating the potential electrical sources of the AF spatially registered with the medical imaging data.
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4.
公开(公告)号:US12053258B2
公开(公告)日:2024-08-06
申请号:US16849045
申请日:2020-04-15
Applicant: Acutus Medical, Inc.
Inventor: Daniel J. Welsh , Marcus F. Julian , Graydon E. Beatty , Xinwei Shi , Derrick R. Chou , Randell L. Werneth , J. Christopher Flaherty , Mark MacGregor
IPC: A61B5/06 , A61B5/00 , A61B5/283 , A61B5/287 , A61B5/308 , A61B5/343 , A61B8/08 , A61B8/12 , A61N1/37 , A61B5/316 , A61B8/00 , A61B34/20
CPC classification number: A61B5/004 , A61B5/0035 , A61B5/0044 , A61B5/061 , A61B5/063 , A61B5/283 , A61B5/287 , A61B5/308 , A61B5/343 , A61B5/6852 , A61N1/3702 , A61B5/316 , A61B5/6853 , A61B5/6857 , A61B5/6858 , A61B5/6859 , A61B8/0883 , A61B8/12 , A61B8/4416 , A61B34/20 , A61B2034/2051 , A61B2034/2063 , A61B2034/2065 , A61B2562/0204 , A61B2562/0209 , A61B2576/023
Abstract: Provided are a localization system and method useful in the acquisition and analysis of cardiac information. The localization system and method can be used with systems that perform cardiac mapping, diagnosis and treatment of cardiac abnormalities, as examples, and in the retrieval, processing, and interpretation of such types of information. The localization system and method use high impedance inputs, improved isolation, and relatively high drive currents for pairs of electrodes used to establish a multi-axis coordinate system. The axes can be rotated and scaled to improve localization.
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公开(公告)号:US12016635B2
公开(公告)日:2024-06-25
申请号:US17330521
申请日:2021-05-26
Applicant: HeartFlow, Inc.
Inventor: Charles A. Taylor
IPC: G06T7/00 , A61B5/00 , A61B5/02 , A61B5/021 , A61B5/024 , A61B5/026 , A61B5/029 , A61B5/055 , A61B5/107 , A61B5/11 , A61B5/22 , A61B6/00 , A61B6/03 , A61B6/50 , A61B8/02 , A61B8/04 , A61B8/06 , A61B8/08 , A61B34/00 , A61B34/10 , A61M5/00 , G01R33/56 , G01R33/563 , G06F17/10 , G06F18/10 , G06F18/22 , G06F18/24 , G06F30/20 , G06F30/23 , G06F30/28 , G06G7/60 , G06T7/11 , G06T7/12 , G06T7/13 , G06T7/149 , G06T7/20 , G06T7/60 , G06T7/62 , G06T7/70 , G06T7/73 , G06T11/00 , G06T11/20 , G06T11/60 , G06T15/10 , G06T17/00 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/44 , G06V20/69 , G16B5/00 , G16B45/00 , G16H10/40 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/00 , A61B90/00 , G06T7/10 , G06V10/46
CPC classification number: A61B34/10 , A61B5/0035 , A61B5/004 , A61B5/0044 , A61B5/02 , A61B5/02007 , A61B5/02028 , A61B5/021 , A61B5/024 , A61B5/026 , A61B5/0263 , A61B5/029 , A61B5/055 , A61B5/1075 , A61B5/1118 , A61B5/22 , A61B5/4848 , A61B5/6852 , A61B5/7246 , A61B5/7275 , A61B5/7278 , A61B5/745 , A61B6/03 , A61B6/032 , A61B6/481 , A61B6/503 , A61B6/504 , A61B6/507 , A61B6/5205 , A61B6/5217 , A61B6/5229 , A61B8/02 , A61B8/04 , A61B8/06 , A61B8/065 , A61B8/481 , A61B8/5223 , A61B8/5261 , A61B34/25 , A61M5/007 , G01R33/5601 , G01R33/5635 , G01R33/56366 , G06F17/10 , G06F18/10 , G06F18/22 , G06F18/24 , G06F30/20 , G06F30/23 , G06F30/28 , G06G7/60 , G06T7/0012 , G06T7/0014 , G06T7/11 , G06T7/12 , G06T7/13 , G06T7/149 , G06T7/20 , G06T7/60 , G06T7/62 , G06T7/70 , G06T7/73 , G06T7/74 , G06T11/00 , G06T11/001 , G06T11/008 , G06T11/20 , G06T11/60 , G06T15/10 , G06T17/00 , G06T17/005 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/44 , G06V20/698 , G16B5/00 , G16B45/00 , G16H10/40 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/00 , A61B5/6868 , A61B2034/104 , A61B2034/105 , A61B2034/107 , A61B2034/108 , A61B2090/374 , A61B2090/3762 , A61B2090/3764 , A61B2576/00 , A61B2576/023 , G06T7/10 , G06T2200/04 , G06T2207/10012 , G06T2207/10072 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/20036 , G06T2207/20124 , G06T2207/30016 , G06T2207/30048 , G06T2207/30104 , G06T2210/41 , G06T2211/404 , G06V10/467 , Y02A90/10 , G06T7/0012 , G06T2207/30048
Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
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6.
公开(公告)号:US12004882B2
公开(公告)日:2024-06-11
申请号:US15522098
申请日:2015-10-27
Inventor: Walter R. T. Witschey , Francisco Contijoch , Mark A. Elliott , Eugene E. Gualtieri
IPC: A61B5/00 , A61B5/055 , A61B5/33 , G01R33/48 , G01R33/563 , G01R33/567
CPC classification number: A61B5/7289 , A61B5/0044 , A61B5/055 , A61B5/33 , G01R33/5673 , A61B2576/023 , G01R33/4824 , G01R33/56325
Abstract: An adaptive real-time radial k-space sampling trajectory (ARKS) can respond to a physiologic feedback signal to reduce motion effects and ensure sampling uniformity. In this adaptive k-space sampling strategy, the most recent signals from an ECG waveform can be continuously matched to the previous signal history, new radial k-space locations were determined, and these MR signals combined using multi-shot or single-shot radial acquisition schemes. The disclosed methods allow for improved MRI imaging.
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7.
公开(公告)号:US11950877B2
公开(公告)日:2024-04-09
申请号:US17428832
申请日:2020-02-05
Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
Inventor: Craig H. Meyer , Xue Feng , Michael Salerno
IPC: A61B5/00 , A61B5/026 , A61B5/055 , G01R33/483 , G01R33/563 , G06N3/08 , G06T3/00 , G06T3/60 , G06T7/00 , G06T7/11 , G06T7/143 , G06T7/149 , G06T7/194 , G06T7/215 , G06T7/33 , G16H30/40
CPC classification number: A61B5/0044 , A61B5/0263 , A61B5/055 , A61B5/7267 , G01R33/4835 , G01R33/56366 , G06N3/08 , G06T3/0006 , G06T3/60 , G06T7/0014 , G06T7/11 , G06T7/143 , G06T7/149 , G06T7/194 , G06T7/215 , G06T7/33 , G16H30/40 , A61B2576/023 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30048 , G06T2207/30104 , G06T2207/30168
Abstract: A computerized system and method of modeling myocardial tissue perfusion can include acquiring a plurality of original frames of magnetic resonance imaging (MRI) data representing images of a heart of a subject and developing a manually segmented set of ground truth frames from the original frames. Applying training augmentation techniques to a training set of the originals frame of MRI data can prepare the data for training at least one convolutional neural network (CNN). The CNN can segment the training set of frames according to the ground truth frames. Applying the respective input test frames to a trained CNN can allow for segmenting an endocardium layer and an epicardium layer within the respective images of the input test frames. The segmented images can be used in calculating myocardial blood flow into the myocardium from segmented images of the input test frames.
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公开(公告)号:US20240023822A1
公开(公告)日:2024-01-25
申请号:US18355598
申请日:2023-07-20
Applicant: Konica Minolta, Inc.
Inventor: Ryoichi WATANABE , Takenori FUKUMOTO , Yuzo YAMASAKI , Kousei ISHIGAMI , Takeshi KAMITANI , Tomoyuki HIDA
CPC classification number: A61B5/026 , A61B5/0044 , A61B5/7235 , G06V10/25
Abstract: A dynamic image analysis apparatus comprising: a hardware processor, wherein the hardware processor is configured to, execute processing to acquire a dynamic image of a chest obtained by dynamic imaging with radiation, execute processing to generate information on pulmonary valve regurgitation based on dynamic image information of a site related to at least one of a pulmonary artery and a heart in the dynamic image, and execute processing to output the generated information on pulmonary valve regurgitation.
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公开(公告)号:US11857288B2
公开(公告)日:2024-01-02
申请号:US17166604
申请日:2021-02-03
Applicant: University of Virginia Patent Foundation
Inventor: Sona Ghadimi , Changyu Sun , Xue Feng , Craig H. Meyer , Frederick H. Epstein
CPC classification number: A61B5/0044 , A61B5/02028 , A61B5/7267 , A61B5/7278 , G01R33/56 , G06N3/08 , G06T7/0012 , G06T7/11 , G16H30/40 , A61B5/055 , A61B2576/023 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30048
Abstract: A method of cardiac strain analysis uses displacement encoded magnetic resonance image (MRI) data of a heart of the subject and includes generating a phase image for each frame of the displacement encoded MRI data. Phase images include potentially phase-wrapped measured phase values corresponding to pixels of the frame. A convolutional neural network CNN computes a wrapping label map for the phase image, and the wrapping label map includes a respective number of phase wrap cycles present at each pixel in the phase image. Computing an unwrapped phase image includes adding a respective phase correction to each of the potentially-wrapped measured phase values of the phase image, and the phase correction is based on the number of phase wrap cycles present at each pixel. Computing myocardial strain follows by using the unwrapped phase image for strain analysis of the subject.
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公开(公告)号:US11842456B2
公开(公告)日:2023-12-12
申请号:US16476893
申请日:2018-01-12
Applicant: Navix International Limited
Inventor: Leonid Gluhovsky , Yitzhack Schwartz , Eli Dichterman , Shlomo Ben-Haim , Yaara Yarden
IPC: G06T19/20 , A61B5/00 , A61B5/0536 , A61B5/0538 , A61B5/06
CPC classification number: G06T19/20 , A61B5/0044 , A61B5/0536 , A61B5/0538 , A61B5/068 , A61B2576/023 , G06T2210/41 , G06T2219/2021
Abstract: Methods for creation and use (e.g., for navigation) of displays of flattened (e.g., curvature-straightened) 3-D reconstructions of tissue surfaces, optionally including reconstructions of the interior surfaces of hollow organs. In some embodiments, data comprising a 3-D representation of a tissue surface (for example an interior heart chamber surface) are subject to a geometrical transformation allowing the tissue surface to be presented substantially within a single view of a flattened reconstruction. In some embodiments, a catheter probe in use near the tissue surface is shown in positions that correspond to positions in 3-D space sufficiently to permit navigation; e.g., the probe is shown in flattened reconstruction views nearby view regions corresponding to regions it actually approaches. In some embodiments, automatic and/or easily triggered manual view switching between flattened reconstruction and source reconstruction views is implemented.
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