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EP3619631A1 - Améliorations dans la détection radiologique de l'hypertension pulmonaire thromboembolique chronique - Google Patents

Améliorations dans la détection radiologique de l'hypertension pulmonaire thromboembolique chronique

Info

Publication number
EP3619631A1
EP3619631A1 EP18720250.2A EP18720250A EP3619631A1 EP 3619631 A1 EP3619631 A1 EP 3619631A1 EP 18720250 A EP18720250 A EP 18720250A EP 3619631 A1 EP3619631 A1 EP 3619631A1
Authority
EP
European Patent Office
Prior art keywords
cteph
human
computer system
images
features
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.)
Withdrawn
Application number
EP18720250.2A
Other languages
German (de)
English (en)
Inventor
Karym EL SAYED
Simon Alexander TEAL
Eva-Maria QUAST
Soeren HOERNIG
Mitesh DAFTARDAR
Matthias MÜHLENDYCK
Hans-Peter Podhaisky
Barbara HINZMANN
Oliver Siegler
Levent KILIC
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.)
Bayer AG
Original Assignee
Bayer AG
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 Bayer AG filed Critical Bayer AG
Publication of EP3619631A1 publication Critical patent/EP3619631A1/fr
Withdrawn legal-status Critical Current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
    • G16H50/20—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
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/507—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for determination of haemodynamic parameters, e.g. perfusion CT
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • 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
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/032—Transmission computed tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/008—Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30061—Lung
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular

Definitions

  • the present invention is concerned with the radiological detection of chronic thromboembolic pulmonary hypertension (CTEPH).
  • CTEPH chronic thromboembolic pulmonary hypertension
  • the invention relates to a method, a computer system and a computer program product for the automated detection of indications of the presence of CTEPH in a human.
  • Chronic thromboembolic pulmonary hypertension is a special form of pulmonary hypertension (PH, pulmonary hypertension). It is characterized by the influx of thrombi into the pulmonary arteries. These clog and constrict the vessels in whole or in part and can transform connective tissue. In rare cases, pulmonary hypertension develops with poor prognosis.
  • CTEPH chronic myeloea
  • the symptoms of CTEPH are nonspecific. Dyspnoea and fatigue may occur in the early stages. The duration of the first symptoms of the diagnosis is on average 14 months, with some patients already in an advanced stage of the disease. This underlines the need for accurate and timely diagnostics.
  • CTEPH chronic pulmonary hypertension
  • the gold standard for diagnosing or excluding CTEPH is ventilation / perfusion scintigraphy.
  • the negative predictive value of perfusion scintigraphy is close to 100, which means that a proper perfusion distribution excludes a CTEPH with almost certainty.
  • the problem is that CTEPH is comparatively rare. The rarity and the complex diagnostics and differential diagnostics lead to CTEPH being underdiagnosed.
  • a first subject of the present invention is a method for detecting evidence of the presence of CTEPH in a human comprising the following steps:
  • Another object of the present invention is a computer system for detecting evidence for the presence of CTEPH in a human, comprising - means for automatically receiving or retrieving one or more computed tomographic images of the human thorax
  • the present invention is directed to the automated image analysis of computed tomographic images of the human thorax.
  • a CT image produced by the human thorax is immediately and automatically subjected to an image analysis according to the invention after it has been generated.
  • a computer system aligned to produce a corresponding CT scan may be configured to supply the CT scan to the image analysis of the present invention.
  • the components that perform the image analysis receive the CT scan.
  • FIG 3 shows schematically an embodiment of the computer system 100 according to the invention.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Optics & Photonics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Biophysics (AREA)
  • Epidemiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Primary Health Care (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Theoretical Computer Science (AREA)
  • Dentistry (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physiology (AREA)
  • Vascular Medicine (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Cardiology (AREA)
  • Pulmonology (AREA)

Abstract

La présente invention concerne la détection radiologique de l'hypertension pulmonaire thromboembolique chronique (HPTEC). L'invention concerne un procédé, un système informatique et un produit-programme d'ordinateur pour effectuer une détection automatique d'indices indiquant la présence de HPTEC chez un individu.
EP18720250.2A 2017-05-02 2018-04-26 Améliorations dans la détection radiologique de l'hypertension pulmonaire thromboembolique chronique Withdrawn EP3619631A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP17169079 2017-05-02
PCT/EP2018/060732 WO2018202541A1 (fr) 2017-05-02 2018-04-26 Améliorations dans la détection radiologique de l'hypertension pulmonaire thromboembolique chronique

Publications (1)

Publication Number Publication Date
EP3619631A1 true EP3619631A1 (fr) 2020-03-11

Family

ID=58672386

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18720250.2A Withdrawn EP3619631A1 (fr) 2017-05-02 2018-04-26 Améliorations dans la détection radiologique de l'hypertension pulmonaire thromboembolique chronique

Country Status (6)

Country Link
US (1) US20200237331A1 (fr)
EP (1) EP3619631A1 (fr)
JP (1) JP2020518396A (fr)
CN (1) CN110574070A (fr)
CA (1) CA3061988A1 (fr)
WO (1) WO2018202541A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11727571B2 (en) 2019-09-18 2023-08-15 Bayer Aktiengesellschaft Forecast of MRI images by means of a forecast model trained by supervised learning
US11915361B2 (en) 2019-09-18 2024-02-27 Bayer Aktiengesellschaft System, method, and computer program product for predicting, anticipating, and/or assessing tissue characteristics
US12002203B2 (en) 2019-03-12 2024-06-04 Bayer Healthcare Llc Systems and methods for assessing a likelihood of CTEPH and identifying characteristics indicative thereof
US12310741B2 (en) 2019-09-18 2025-05-27 Bayer Aktiengesellschaft Generation of MRI images of the liver
US12394058B2 (en) 2020-04-03 2025-08-19 Bayer Aktiengesellschaft Generation of radiological images

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DE102018222606A1 (de) 2018-12-20 2020-06-25 Siemens Healthcare Gmbh Verfahren und Vorrichtung zur Detektion eines anatomischen Merkmals eines Blutgefäßabschnittes
EP3813017A1 (fr) * 2019-10-21 2021-04-28 Bayer AG Segmentation de la zone du c ur dans des prises de vue de tomodensitométrie
JP7394588B2 (ja) * 2019-11-07 2023-12-08 キヤノン株式会社 情報処理装置、情報処理方法、および撮像システム
EP4248356A1 (fr) 2020-11-20 2023-09-27 Bayer Aktiengesellschaft Apprentissage de représentation
EP4315162A1 (fr) 2021-04-01 2024-02-07 Bayer Aktiengesellschaft Attention renforcée
US20240289637A1 (en) 2021-06-25 2024-08-29 Bayer Aktiengesellschaft Federated representation learning with consistency regularization
CN113702482B (zh) * 2021-08-30 2022-08-23 中国医学科学院北京协和医院 一种IgG N-糖链特征组合及其应用
EP4471710B1 (fr) 2023-05-30 2025-12-17 Bayer Aktiengesellschaft Détection d'artéfacts dans des enregistrements médicaux synthétiques
EP4475070A1 (fr) 2023-06-05 2024-12-11 Bayer AG Détection d'artéfacts dans des enregistrements médicaux synthétiques
EP4492324A1 (fr) 2023-07-12 2025-01-15 Bayer AG Détection d'artéfacts dans des enregistrements médicaux synthétiques
US20250045926A1 (en) 2023-07-25 2025-02-06 Bayer Aktiengesellschaft Detection of artifacts in synthetic images
EP4560648A1 (fr) 2023-11-22 2025-05-28 Bayer AG Génération de données d'apprentissage synthétiques
WO2025119803A1 (fr) 2023-12-06 2025-06-12 Bayer Aktiengesellschaft Génération de représentations médicales de synthèse
EP4567715A1 (fr) 2023-12-06 2025-06-11 Bayer Aktiengesellschaft Génération de représentations synthétiques
EP4571650A1 (fr) 2023-12-12 2025-06-18 Bayer AG Génération d'images synthétiques
EP4575997A1 (fr) 2023-12-18 2025-06-25 Bayer Aktiengesellschaft Génération d'images synthétiques
WO2025190827A1 (fr) 2024-03-15 2025-09-18 Bayer Aktiengesellschaft Génération d'une image médicale synthétique

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DE112004000607T5 (de) * 2003-04-11 2006-03-02 General Electric Co. Verfahren und Vorrichtung für eine wissensbasierte diagnostische Bildgebung

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US20090012382A1 (en) * 2007-07-02 2009-01-08 General Electric Company Method and system for detection of obstructions in vasculature
JP2010104581A (ja) * 2008-10-30 2010-05-13 Canon Inc Ｘ線撮影装置及びｘ線撮影方法
WO2013036842A2 (fr) * 2011-09-08 2013-03-14 Radlogics, Inc. Procédés et systèmes pour analyser des images médicales et faire un compte-rendu sur celles-ci
RU2545927C1 (ru) * 2014-03-13 2015-04-10 Федеральное государственное бюджетное учреждение "Научно-исследовательский институт кардиологии" Сибирского отделения Российской академии медицинских наук Способ дифференциальной диагностики острой тромбоэмболии легочной артерии и хронической постэмболической легочной гипертензии
CN106461677B (zh) * 2014-04-22 2018-09-11 国立大学法人东北大学 肺高血压病的检查方法

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DE112004000607T5 (de) * 2003-04-11 2006-03-02 General Electric Co. Verfahren und Vorrichtung für eine wissensbasierte diagnostische Bildgebung

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12002203B2 (en) 2019-03-12 2024-06-04 Bayer Healthcare Llc Systems and methods for assessing a likelihood of CTEPH and identifying characteristics indicative thereof
US11727571B2 (en) 2019-09-18 2023-08-15 Bayer Aktiengesellschaft Forecast of MRI images by means of a forecast model trained by supervised learning
US11915361B2 (en) 2019-09-18 2024-02-27 Bayer Aktiengesellschaft System, method, and computer program product for predicting, anticipating, and/or assessing tissue characteristics
US12148163B2 (en) 2019-09-18 2024-11-19 Bayer Aktiengesellschaft Forecast of MRI images by means of a forecast model trained by supervised learning
US12310741B2 (en) 2019-09-18 2025-05-27 Bayer Aktiengesellschaft Generation of MRI images of the liver
US12394058B2 (en) 2020-04-03 2025-08-19 Bayer Aktiengesellschaft Generation of radiological images

Also Published As

Publication number Publication date
US20200237331A1 (en) 2020-07-30
JP2020518396A (ja) 2020-06-25
WO2018202541A1 (fr) 2018-11-08
CN110574070A (zh) 2019-12-13
CA3061988A1 (fr) 2019-10-30

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