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WO2024249863A3 - Systems and methods for modelling for 2d echocardiography-based prediction of right ventricular volume - Google Patents

Systems and methods for modelling for 2d echocardiography-based prediction of right ventricular volume Download PDF

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Publication number
WO2024249863A3
WO2024249863A3 PCT/US2024/032004 US2024032004W WO2024249863A3 WO 2024249863 A3 WO2024249863 A3 WO 2024249863A3 US 2024032004 W US2024032004 W US 2024032004W WO 2024249863 A3 WO2024249863 A3 WO 2024249863A3
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WO
WIPO (PCT)
Prior art keywords
methods
input
right ventricular
systems
echocardiography
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.)
Pending
Application number
PCT/US2024/032004
Other languages
French (fr)
Other versions
WO2024249863A2 (en
Inventor
Archontis GIANNAKIDIS
Polydoros KAMPAKTSIS
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.)
Columbia University in the City of New York
Original Assignee
Columbia University in the City of New York
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
Application filed by Columbia University in the City of New York filed Critical Columbia University in the City of New York
Publication of WO2024249863A2 publication Critical patent/WO2024249863A2/en
Publication of WO2024249863A3 publication Critical patent/WO2024249863A3/en
Anticipated expiration legal-status Critical
Pending legal-status Critical Current

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Classifications

    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • 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

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Image Analysis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

The disclosed subject matter provides systems and methods for calculating a right ventricular (RV) volume. An example system can include one or more processors configured to receive a testing image, tokenize a categorical input and a numerical input from the testing image, forward the categorical input and the numerical input to a cascaded transformer layer, transform the categorical input and the numerical input into an embedding, transform the embedding into a classification token, and provide a measurement of RV of the testing image based on the CLS token.
PCT/US2024/032004 2023-05-31 2024-05-31 Systems and methods for modelling for 2d echocardiography-based prediction of right ventricular volume Pending WO2024249863A2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US202363469990P 2023-05-31 2023-05-31
US63/469,990 2023-05-31
US202363536549P 2023-09-05 2023-09-05
US63/536,549 2023-09-05

Publications (2)

Publication Number Publication Date
WO2024249863A2 WO2024249863A2 (en) 2024-12-05
WO2024249863A3 true WO2024249863A3 (en) 2025-01-30

Family

ID=93658510

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2024/032004 Pending WO2024249863A2 (en) 2023-05-31 2024-05-31 Systems and methods for modelling for 2d echocardiography-based prediction of right ventricular volume

Country Status (1)

Country Link
WO (1) WO2024249863A2 (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130035596A1 (en) * 2011-07-14 2013-02-07 Siemens Corporation Model-based positioning for intracardiac echocardiography volume stitching
US20200380675A1 (en) * 2017-11-22 2020-12-03 Daniel Iring GOLDEN Content based image retrieval for lesion analysis
US20230135659A1 (en) * 2021-11-04 2023-05-04 Nvidia Corporation Neural networks trained using event occurrences

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130035596A1 (en) * 2011-07-14 2013-02-07 Siemens Corporation Model-based positioning for intracardiac echocardiography volume stitching
US20200380675A1 (en) * 2017-11-22 2020-12-03 Daniel Iring GOLDEN Content based image retrieval for lesion analysis
US20230135659A1 (en) * 2021-11-04 2023-05-04 Nvidia Corporation Neural networks trained using event occurrences

Also Published As

Publication number Publication date
WO2024249863A2 (en) 2024-12-05

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