EP3619631A1 - Verbesserungen bei der radiologischen erkennung chronisch thromboembolischer pulmonaler hypertonie - Google Patents

Verbesserungen bei der radiologischen erkennung chronisch thromboembolischer pulmonaler hypertonie

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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Withdrawn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)
French (fr)
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/de
Withdrawn legal-status Critical Current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.

Landscapes

  • 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)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Molecular Biology (AREA)
  • Optics & Photonics (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Databases & Information Systems (AREA)
  • Physiology (AREA)
  • Vascular Medicine (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Cardiology (AREA)
  • Pulmonology (AREA)
EP18720250.2A 2017-05-02 2018-04-26 Verbesserungen bei der radiologischen erkennung chronisch thromboembolischer pulmonaler hypertonie Withdrawn EP3619631A1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP17169079 2017-05-02
PCT/EP2018/060732 WO2018202541A1 (de) 2017-05-02 2018-04-26 Verbesserungen bei der radiologischen erkennung chronisch thromboembolischer pulmonaler hypertonie

Publications (1)

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

Family

ID=58672386

Family Applications (1)

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EP18720250.2A Withdrawn EP3619631A1 (de) 2017-05-02 2018-04-26 Verbesserungen bei der radiologischen erkennung chronisch thromboembolischer pulmonaler hypertonie

Country Status (6)

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

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 (de) 2019-10-21 2021-04-28 Bayer AG Segmentierung der herzregion in ct-aufnahmen
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
WO2022106302A1 (en) 2020-11-20 2022-05-27 Bayer Aktiengesellschaft Representation learning
WO2022207443A1 (en) 2021-04-01 2022-10-06 Bayer Aktiengesellschaft Reinforced attention
WO2022268656A1 (en) 2021-06-25 2022-12-29 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 (de) 2023-05-30 2025-12-17 Bayer Aktiengesellschaft Erkennen von artefakten in synthetischen medizinischen aufnahmen
EP4475070A1 (de) 2023-06-05 2024-12-11 Bayer AG Erkennen von artefakten in synthetischen medizinischen aufnahmen
EP4492324A1 (de) 2023-07-12 2025-01-15 Bayer AG Erkennen von artefakten in synthetischen medizinischen aufnahmen
US20250045926A1 (en) 2023-07-25 2025-02-06 Bayer Aktiengesellschaft Detection of artifacts in synthetic images
EP4560648A1 (en) 2023-11-22 2025-05-28 Bayer AG Generating synthetic training data
WO2025119803A1 (en) 2023-12-06 2025-06-12 Bayer Aktiengesellschaft Generating synthetic medical representations
EP4567715A1 (en) 2023-12-06 2025-06-11 Bayer Aktiengesellschaft Generating synthetic representations
EP4571650A1 (en) 2023-12-12 2025-06-18 Bayer AG Generating synthetic images
EP4575997A1 (en) 2023-12-18 2025-06-25 Bayer Aktiengesellschaft Generating synthetic images
WO2025190826A1 (en) 2024-03-15 2025-09-18 Bayer Aktiengesellschaft Generation of a synthetic medical image

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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 (en) * 2011-09-08 2013-03-14 Radlogics, Inc. Methods and systems for analyzing and reporting medical images
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
US20170089924A1 (en) * 2014-04-22 2017-03-30 Tohoku University Method of testing for pulmonary hypertension

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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
CA3061988A1 (en) 2019-10-30
WO2018202541A1 (de) 2018-11-08
JP2020518396A (ja) 2020-06-25
CN110574070A (zh) 2019-12-13

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