PL448554A1 - In silico method for calculating perfusion metrics, which involves calculating the arterial input function based on a parallel or serial distribution model - Google Patents

In silico method for calculating perfusion metrics, which involves calculating the arterial input function based on a parallel or serial distribution model

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Publication number
PL448554A1
PL448554A1 PL448554A PL44855424A PL448554A1 PL 448554 A1 PL448554 A1 PL 448554A1 PL 448554 A PL448554 A PL 448554A PL 44855424 A PL44855424 A PL 44855424A PL 448554 A1 PL448554 A1 PL 448554A1
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PL
Poland
Prior art keywords
calculating
arterial input
input function
aif
silico
Prior art date
Application number
PL448554A
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Polish (pl)
Inventor
Kryspin Mirota
Monika AULICH
Ewa MILITOWSKA
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Hemolens Diagnostics Spółka Z Ograniczoną Odpowiedzialnością
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Application filed by Hemolens Diagnostics Spółka Z Ograniczoną Odpowiedzialnością filed Critical Hemolens Diagnostics Spółka Z Ograniczoną Odpowiedzialnością
Priority to PL448554A priority Critical patent/PL448554A1/en
Priority to PCT/IB2025/052040 priority patent/WO2025238427A1/en
Publication of PL448554A1 publication Critical patent/PL448554A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/026—Measuring blood flow
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/026—Measuring blood flow
    • A61B5/0275—Measuring blood flow using tracers, e.g. dye dilution
    • 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]
    • 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]
    • A61B6/037—Emission tomography
    • 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
    • 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
    • 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
    • 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
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • 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
    • A61B6/48—Diagnostic techniques
    • A61B6/481—Diagnostic techniques involving the use of contrast agents
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
    • G01R33/56366—Perfusion imaging

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Optics & Photonics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Vascular Medicine (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Hematology (AREA)
  • Pulmonology (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

Zgłoszenie dotyczy sposobu wyliczania in silico tętniczej funkcji wejściowej (AIF), przy czym sposób obejmuje wybieranie klasy (CM, CMC) i rzędu (n) modelu farmakokinetyki. Klasa modelu farmakokinetyki jest wybrana spośród modelu dystrybucji równoległej (CM) z kompartmentu centralnego do jednego lub większej liczby kompartmentów peryferyjnych lub modelu dystrybucji szeregowej (CMC) z kompartmentu centralnego szeregowo przez jeden lub większą liczbę kompartmentów pośrednich do jednego lub większej liczby kompartmentów peryferyjnych. Rząd (n) modelu farmakokinetyki to liczba kompartmentów w wybranym modelu farmakokinetyki. Zgłoszenie zapewnia w szczególności wyliczenie tętniczej funkcji wejściowej (AIF) na wlocie do docelowego obszaru krążeniowego (VOI). Wyliczona tętnicza funkcja wejściowa (AIF) jest następnie wykorzystywana do wyliczenia perfuzji, a w szczególności metryk perfuzji. Wyliczone in silico tętnicze funkcje wejściowej (AIF) porównano z wynikami otrzymanymi in vivo. Zaobserwowano zgodność pomiędzy wynikami in silico i in vivo na poziomie umożliwiającym medyczne zastosowanie wynalazku. W szczególności, umożliwiającym określenie metryk perfuzji.The application relates to a method for calculating an in silico arterial input function (AIF), the method comprising selecting a class (CM, CMC) and an order (n) of a pharmacokinetic model. The class of the pharmacokinetic model is selected from a parallel distribution model (CM) from a central compartment to one or more peripheral compartments or a serial distribution model (CMC) from a central compartment serially through one or more intermediate compartments to one or more peripheral compartments. The order (n) of the pharmacokinetic model is the number of compartments in the selected pharmacokinetic model. In particular, the application provides for calculating an arterial input function (AIF) at the inlet to a target circulatory region (VOI). The calculated arterial input function (AIF) is then used to calculate perfusion, and in particular perfusion metrics. The in silico calculated arterial input functions (AIF) were compared with the results obtained in vivo. The agreement between the in silico and in vivo results was sufficient to support medical applications of the invention. In particular, it allowed for the determination of perfusion metrics.

PL448554A 2024-05-14 2024-05-14 In silico method for calculating perfusion metrics, which involves calculating the arterial input function based on a parallel or serial distribution model PL448554A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PL448554A PL448554A1 (en) 2024-05-14 2024-05-14 In silico method for calculating perfusion metrics, which involves calculating the arterial input function based on a parallel or serial distribution model
PCT/IB2025/052040 WO2025238427A1 (en) 2024-05-14 2025-02-26 Method for in silico calculating perfusion metrics including calculating of arterial input function based on a parallel or serial distribution model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PL448554A PL448554A1 (en) 2024-05-14 2024-05-14 In silico method for calculating perfusion metrics, which involves calculating the arterial input function based on a parallel or serial distribution model

Publications (1)

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PL448554A1 true PL448554A1 (en) 2025-11-17

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017192629A1 (en) * 2016-05-02 2017-11-09 The Regents Of The University Of California System and method for estimating perfusion parameters using medical imaging

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NO20101638A1 (en) * 2010-11-22 2012-05-23 Sunnmore Mr Klinikk As Method of ex vivo distinguishing between malignant and benign tumors using contrast agent-based MRI scan
TW201408262A (en) * 2012-08-30 2014-03-01 Univ Chang Gung Method of extracting arterial input function and its application for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)
WO2016187146A1 (en) * 2015-05-15 2016-11-24 New York University Computer-accessible medium for determining arterial input function
US11871995B2 (en) 2017-12-18 2024-01-16 Hemolens Diagnostics Sp. Z O.O. Patient-specific modeling of hemodynamic parameters in coronary arteries
KR20250023338A (en) 2022-03-03 2025-02-18 헤모렌즈 다이아그노스틱스 에스피 지오오 Assessment of myocardial perfusion using noninvasive measurements and porodynamics
WO2024030553A1 (en) * 2022-08-03 2024-02-08 Uab Research Foundation Imaging phantom

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017192629A1 (en) * 2016-05-02 2017-11-09 The Regents Of The University Of California System and method for estimating perfusion parameters using medical imaging

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
DE LA ROSA E. ET AL.: "Med Image Anal. 2021 Dec;74:102211. doi: 10.1016/j.media.2021.102211. Epub 2021 Aug 6", AIFNET: AUTOMATIC VASCULAR FUNCTION ESTIMATION FOR PERFUSION ANALYSIS USING DEEP LEARNING *
JEROSCH-HEROLD M.: "J Cardiovasc Magn Reson. 2010 Oct 8;12(1):57. doi: 10.1186/1532-429X-12-57", QUANTIFICATION OF MYOCARDIAL PERFUSION BY CARDIOVASCULAR MAGNETIC RESONANCE *

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