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WO2022241155A1 - Détermination de cycle cardiaque sans circuit - Google Patents

Détermination de cycle cardiaque sans circuit Download PDF

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Publication number
WO2022241155A1
WO2022241155A1 PCT/US2022/029052 US2022029052W WO2022241155A1 WO 2022241155 A1 WO2022241155 A1 WO 2022241155A1 US 2022029052 W US2022029052 W US 2022029052W WO 2022241155 A1 WO2022241155 A1 WO 2022241155A1
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WO
WIPO (PCT)
Prior art keywords
heart
cycle
image frames
classification
heart cycle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2022/029052
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English (en)
Inventor
Ha Hong
Kilian Koepsell
Nicolas Poilvert
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Caption Health Inc
Original Assignee
Caption Health Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US17/321,269 external-priority patent/US20220361799A1/en
Application filed by Caption Health Inc filed Critical Caption Health Inc
Priority to CN202280049074.7A priority Critical patent/CN117858671A/zh
Publication of WO2022241155A1 publication Critical patent/WO2022241155A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08—Clinical applications
    • A61B8/0883—Clinical applications for diagnosis of the heart
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/02—Measuring pulse or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08—Clinical applications

Definitions

  • the present invention relates to the field of cardiac monitoring and more particularly to the computational characterization of a heart cycle.
  • Cardiac monitoring generally refers to continuous or intermittent monitoring of heart activity, generally by electrocardiography, with assessment of the patient's condition relative to their cardiac rhythm.
  • cardiac monitoring requires the affixation of two or more different sensors upon the surface of the body so as to create individual two-sensor electrical circuits. Then, as the electrical signals imparted upon different portions of a monitored heart muscle intensify and then wane, different pairs of the sensors forming different circuits measure different aspects of what is known as the cardiac cycle or heart cycle.
  • ECG electrocardiogram
  • the cardiac cycle is the performance of the human heart from the beginning of one heartbeat to the beginning of the next heartbeat.
  • the cycle consists of two periods: one during which the heart muscle relaxes and refills with blood, referred to as diastole, following a period of contraction and the pumping of blood, referred to as systole.
  • the heart cycle is known to include five different phases of which three are generally visible in a graph representative of the heart cycle, and in most cases all five are visible. The first phase of the
  • 1 heart cycle is the P-cycle representative of the conduction of electrical impulses to the atria of the heart causing the atria to contract followed by a brief delay and then the QRS complex portion of the heart cycle, which reflects the spread of electrical activity through the ventricular myocardium and inherently includes three of the five phases of the heart cycle and is known as the R-wave portion. Thereafter, following another short delay, the T-cycle commences and reflects the repolarization of the ventricles thereby restoring the heart into a resting state.
  • the graph representative of the heart cycle generally is the product of the ECG.
  • knowing a contemporaneous moment during the heart cycle can be advantages when performing a cardiac ultrasound.
  • the quality of an ECG depends upon the proper placement of electrodes upon the patient and the resulting quality of contact between electrode and patient.
  • the necessity of different sensors placed upon the chest of the patient from which a multiplicity of wires can be unwieldy and modem ultrasound units lack an internal ECG capability.
  • knowing the heart cycle evident from an ECG can be helpful in improving the quality of imagery produced during ultrasound.
  • Embodiments of the present invention address deficiencies of the art in respect to heart cycle determination during cardiac ultrasound and provide a novel and non-obvious method, system and computer program product for circuitless heart cycle determination during cardiac ultrasound.
  • a method for a circuitless heart cycle determination includes capturing a video clip of one or more image frames of a target heart muscle through a cardiac ultrasound imaging device, and submitting the one or more image frames to a classifier that has been trained with an annotated set of images, each of a corresponding heart muscle captured at a specified phase of a heart cycle with a ground truth indication of the specified phase of the heart
  • the method additionally includes receiving in response to the submission, a classification of different portions of the submitted image frames according to corresponding phases of the heart cycle.
  • the method includes presenting an indication in the cardiac ultrasound imaging device, of a contemporaneous one of the corresponding phases of the heart cycle for the target heart muscle.
  • the contemporaneous phase of the heart cycle for the target heart muscle is determined in the ultrasound imaging device without sensing electrical signals by way of a closed-loop sensor circuit affixed proximately to the target heart muscle. In this way, the determined heart cycle can be used in order to further acquisition of quality ultrasound imagery by the cardiac ultrasound imaging device.
  • the classification of the captured imagery is the classification of a portion of the frames of the video clip corresponding to an R- wave portion of the cycle graph measured over the heart cycle.
  • the classification of the captured imagery is the classification of a portion of the frames of the video clip corresponding to an R-to-R interval of the cycle graph measured over multiple different heart cycles.
  • a number of the different heart cycles may be specified so that the frames of the video clip may be clipped to include only portions of the frames of the video clip corresponding to the R-to-R interval for the specified number of the different heart cycles. Then, playback of the clipped frames may be looped in order to provide a periodic view of the clipped frames in support of a specific medical diagnosis while excluding other portions of the frames not pertinent to the diagnosis.
  • the method additionally includes identifying portions of the frames of the video clip corresponding to an R-wave while removing remaining other portions of the frames of the video clip.
  • model curve may be generated from the separately recorded cycle graph. Thereafter, the generated contemporaneous cycle graph may be curve fitted to the model curve in order to smooth the generated graph and to more accurately present the generated graph.
  • a data processing system is adapted for circuitless heart cycle determination during cardiac ultrasound.
  • the system includes a host computing platform of one or more computers, each with memory and at least one processor.
  • the system also includes a heart cycle determination module.
  • the module in turn includes computer program instructions enabled while executing in the host computing platform to submit a captured video clip of one or more image frames of a target heart muscle to a classifier trained with an annotated set of images each of a corresponding heart muscle captured at a specified phase of a heart cycle with a ground truth indication of the specified phase of the heart cycle drawn from a separately recorded cycle graph of an electrical signal measured over time for the corresponding heart muscle.
  • the instructions further are enabled to receive in response to the submission, a classification of different portions of the submitted frames according to corresponding phases of the heart cycle. Finally, the instructions are enabled to present an indication in the cardiac ultrasound imaging device, of a contemporaneous cycle graph for the target heart muscle without sensing electrical signals by way of a closed-loop sensor circuit affixed proximately to the target heart muscle.
  • Figure l is a pictorial illustration of a process for circuitless heart cycle determination during cardiac ultrasound
  • Figure 2 is a schematic diagram of a data processing system adapted for circuitless heart cycle determination during cardiac ultrasound.
  • Figure 3 is a flow chart illustrating a process for circuitless heart cycle determination during cardiac ultrasound.
  • Embodiments of the invention provide for circuitless heart cycle determination during cardiac ultrasound.
  • different ECGs are acquired contemporaneously with ultrasound imaging of correspondingly different hearts over multiple different heart cycles.
  • Different video clips each of one or more image frames of the ultrasound imaging are then annotated with different phases of the heart cycle occurring contemporaneously with the different image frames as determined from a corresponding one of the ECGs.
  • the annotated frame or frames are then provided to a classifier so as to associate pixel elements of the annotated frame or frames with a correspondingly annotated one of the different phases of the heart cycle.
  • the acquired frame or frames of the target heart can be submitted to the classifier in order to receive in response, a prediction of a contemporaneous phase of the
  • Figure 1 pictorially shows a process for circuitless heart cycle determination.
  • an ultrasound diagnostic imaging device 110 acquires video clip imagery 130 of one or more image frames of a target heart. Thereafter, the device 110 submits the frame or frames of the video clip imagery 130 to a classifier 140.
  • the classifier 140 processes the individual pixels of the different frames of the video clip imagery 130, and produces a classification 150 of the frame or frames of the video clip imagery 130 as belonging to one of several phases of a heart cycle.
  • the classification 150 may then be presented within a display of the device 110.
  • the classifier 140 produces a set of data points 180 reflective of both a phase determined for a corresponding portion of the frame or frames of the video clip imagery 130 and time sequence values for different ones of the frames in a sequence of the frames of the video clip imagery 130
  • a modified set of frame or frames 170 can be produced by excluding from the modified frames 170, different ones of the image frames of the video clip imagery 130 with a classification 150 filing outside of a filter 160, such as a filter excluding classifications outside of an R-wave phase of the cardiac cycle, or a classification outside a specific R-to-R portion of the cardiac cycle.
  • the device 110 then presents a display 120 of the modified frames 170 in the device 110.
  • the data points 180 from the video clip imagery 130 are fit against an ECG model 190 to produce a simulated ECG display 100 for presentation in the device 110.
  • Figure 2 schematically shows a data processing system adapted for circuitless heart cycle determination.
  • the system includes a host
  • the 6 computing platform that includes one or more computers, each with at least one processor 210, memory 220, fixed storage 230 and a display 240.
  • the fixed storage 230 stores therein one or more frames of respective ultrasound video clips of a target heart acquired by input/output circuitry 250 communicatively coupled to an ultrasound diagnostic imaging device 200.
  • a neural network 260 may be loaded at run time into the memory 220 of the host computing platform.
  • the neural network 260 is trained to correlate different imagery of different image frames of different video clips of different hearts with different cardiac cycle phases so that when the neural network 260 is presented with a contemporaneously acquired set of frames of a video clip of the target heart, the neural network 260 returns a correlated cardiac cycle phase such as P-wave, R-wave or T-wave.
  • the neural network 260 is trained to correlate different image frames of different video clips of different hearts with corresponding classification data points so that when the neural network 260 is presented with the contemporaneously acquired frame or frames of a video clip of the target heart, the neural network 260 also returns a correlated sequence of classification data points which may then be curve fit into a simulated ECG.
  • the system yet further includes a heart cycle determination module 300.
  • the heart cycle determination module 300 includes computer program instructions that when executing in the memory 220 by the one or more processors 210 of the host computing platform, loads into the memory 220 the neural network 260 and receives a continuous stream of different frames of respectively different video clips, either previously acquired and stored in the fixed storage 230, or contemporaneously acquired in real time from the ultrasound diagnostic imaging device 200, and submits the frames of the video clips in succession to the neural network 260. Thereafter, the program instructions receive from the neural network 260 in response, a classification of each of the frames of the video clips as to a corresponding phase of the heart cycle and sequencing data for the classification. The program instructions then curve fit the
  • the program instructions extract from the frame or frames of the video clip, portions of the frames of the video clips having been classified outside of a specified filter.
  • a filter can exclude any frame or frames of the video clip imagery classified outside of an R-wave portion of the heart cycle or video clip imagery classified as falling outside of a threshold number of R-to-R heart cycles.
  • the program code extracts from the frame or frames of the video clip, all frames associated with portions of the heart cycle outside of a single complete R-to-R cycle and then displays a looping presentation of the remaining frame or frames of the video imagery in the display 240.
  • Figure 3 is a flow chart illustrating a process for circuitless heart cycle determination.
  • a video clip of one or more image frames is received from an ultrasound diagnostic imaging device and in block 320, the received frame or frames is submitted to a classifier.
  • both a heart cycle phase, and also sequencing data of different frames and corresponding classifications are received from the classifier.
  • a filter is retrieved and in block 350, the filter is applied to the frames in order to exclude from display those of the frames classified as being outside of the filter based upon an association with a particular portion of the heart cycle phase.
  • decision block 360 it is determined whether or not to exclude the frame or frames from display in the ultrasound diagnostic imaging device.
  • the frame or frames is displayed in the ultrasound diagnostic imaging device in block 370.
  • the sequencing data is fitted with a model ECG graph in order to produce a simulated ECG which then is displayed in the
  • the process repeats for a next received video clip.
  • the heart cycle determination association with each frame of the video clip can be used in order to determine which of the frames of the video clip to exclude from view in so far as higher quality image frames are correlated to certain phases of the heart cycle.
  • the present invention may be embodied within a system, a method, a computer program product or any combination thereof.
  • the computer program product may include a computer readable storage medium or media having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention.
  • the computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device.
  • the computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network.
  • the computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
  • These computer readable program instructions may be provided to a processor of a general-purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
  • These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein includes an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks.
  • the computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which includes one or more executable instructions for implementing the specified logical function(s).
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the

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Abstract

L'invention concerne la détermination de cycle cardiaque sans circuit qui consiste à capturer une séquence vidéo d'une ou plusieurs trames d'image d'un muscle cardiaque cible par un dispositif d'imagerie ultrasonore et soumettre les trames à un classificateur qui a été entraîné avec un ensemble annoté d'images, chacune d'un muscle cardiaque correspondant capturé à une phase spécifiée d'un cycle cardiaque avec une indication de vérité terrain de la phase spécifiée du cycle cardiaque tirée d'un graphe de cycle enregistré séparément d'un signal électrique mesuré au cours du temps pour le muscle cardiaque correspondant. En réponse à la soumission, une classification est reçue de différentes parties des trames soumises selon des phases correspondantes du cycle cardiaque. Enfin, une phase contemporaine du cycle cardiaque est déterminée dans le dispositif pour le muscle cardiaque cible sans détection de signaux électriques au moyen d'un circuit de capteur à boucle fermée fixé à proximité du muscle cardiaque cible.
PCT/US2022/029052 2021-05-14 2022-05-12 Détermination de cycle cardiaque sans circuit Ceased WO2022241155A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202280049074.7A CN117858671A (zh) 2021-05-14 2022-05-12 无电路心动周期确定

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
FRFR2105072 2021-05-14
FR2105072 2021-05-14
US17/321,269 US20220361799A1 (en) 2021-05-14 2021-05-14 Circuitless heart cycle determination
US17/321,269 2021-05-14

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WO2022241155A1 true WO2022241155A1 (fr) 2022-11-17

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12484880B2 (en) 2023-01-30 2025-12-02 Caption Health, Inc. Systems and methods for volume-based ultrasound guidance and image analysis

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100168578A1 (en) * 2007-06-12 2010-07-01 University Of Virginia Patent Foundation System and Method for Combined ECG-Echo for Cardiac Diagnosis
US20130066211A1 (en) * 2006-08-30 2013-03-14 The Trustees Of Columbia University In The City Of New York Systems and methods for composite myocardial elastography
US20130165781A1 (en) * 2010-04-01 2013-06-27 Koninklijke Philips Electronics N.V. Integrated display of ultrasound images and ecg data
US20180153514A1 (en) * 2016-12-01 2018-06-07 Liang Zhai Heart Rate Assistance for Phase Determination in Echocardiography
US20200245970A1 (en) * 2019-01-31 2020-08-06 Bay Labs, Inc. Prescriptive guidance for ultrasound diagnostics

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130066211A1 (en) * 2006-08-30 2013-03-14 The Trustees Of Columbia University In The City Of New York Systems and methods for composite myocardial elastography
US20100168578A1 (en) * 2007-06-12 2010-07-01 University Of Virginia Patent Foundation System and Method for Combined ECG-Echo for Cardiac Diagnosis
US20130165781A1 (en) * 2010-04-01 2013-06-27 Koninklijke Philips Electronics N.V. Integrated display of ultrasound images and ecg data
US20180153514A1 (en) * 2016-12-01 2018-06-07 Liang Zhai Heart Rate Assistance for Phase Determination in Echocardiography
US20200245970A1 (en) * 2019-01-31 2020-08-06 Bay Labs, Inc. Prescriptive guidance for ultrasound diagnostics

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12484880B2 (en) 2023-01-30 2025-12-02 Caption Health, Inc. Systems and methods for volume-based ultrasound guidance and image analysis

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