BR112022020970A2 - Método, sistema de computador e programa de computador para determinação automática de pelo menos um parâmetro indicativo do grau ou nível de funcionalidade de um pulmão - Google Patents

Método, sistema de computador e programa de computador para determinação automática de pelo menos um parâmetro indicativo do grau ou nível de funcionalidade de um pulmão

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Publication number
BR112022020970A2
BR112022020970A2 BR112022020970A BR112022020970A BR112022020970A2 BR 112022020970 A2 BR112022020970 A2 BR 112022020970A2 BR 112022020970 A BR112022020970 A BR 112022020970A BR 112022020970 A BR112022020970 A BR 112022020970A BR 112022020970 A2 BR112022020970 A2 BR 112022020970A2
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BR
Brazil
Prior art keywords
volume
lung
functionality
degree
level
Prior art date
Application number
BR112022020970A
Other languages
English (en)
Inventor
Luc Soler
Eric Noll
Pierre Diemunsch
Original Assignee
Visible Patient
Les Hopitaux Univ De Strasbourg
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 Visible Patient, Les Hopitaux Univ De Strasbourg filed Critical Visible Patient
Publication of BR112022020970A2 publication Critical patent/BR112022020970A2/pt

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

MÉTODO, SISTEMA DE COMPUTADOR E PROGRAMA DE COMPUTADOR PARA DETERMINAÇÃO AUTOMÁTICA DE PELO MENOS UM PARÂMETRO INDICATIVO DO GRAU OU NÍVEL DE FUNCIONALIDADE DE UM PULMÃO. A presente invenção se refere a um método para determinação automática de pelo menos um parâmetro indicativo do grau ou nível de funcionalidade de um pulmão de acordo com a taxa de ventilação de suas células, com base em uma imagem médica digital volumétrica do pulmão, composta por uma nuvem de voxel, o referido método consistindo em: - determinar quantitativamente e/ou delinear um primeiro volume A da nuvem em que a densidade espacial de voxels está entre -950HU e -450HU; - determinar quantitativamente e/ou delinear um segundo volume B da nuvem em que a densidade espacial de voxels está entre -750HU e -450HU; - determinar quantitativamente e/delinear um terceiro volume C, adicionalmente ou alternativamente ao volume B, definido como o volume diferencial (volume A - volume B); - calcular a razão (volume B / volume A) e/ou calcular a razão (volume C / volume A); - comparar o valor dessa(s) razão(ões) e/ou o valor dos referidos volumes com um ou vários valores de limite e explorar o resultado dessa comparação ou dessas comparações como o(s) referido(s) parâmetro(s) indicativo(s).
BR112022020970A 2020-04-17 2021-04-15 Método, sistema de computador e programa de computador para determinação automática de pelo menos um parâmetro indicativo do grau ou nível de funcionalidade de um pulmão BR112022020970A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063011354P 2020-04-17 2020-04-17
PCT/EP2021/059764 WO2021209542A1 (en) 2020-04-17 2021-04-15 Automatic determination method of at least one parameter indicative of the degree or level of functionality of a lung

Publications (1)

Publication Number Publication Date
BR112022020970A2 true BR112022020970A2 (pt) 2022-12-06

Family

ID=75562752

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112022020970A BR112022020970A2 (pt) 2020-04-17 2021-04-15 Método, sistema de computador e programa de computador para determinação automática de pelo menos um parâmetro indicativo do grau ou nível de funcionalidade de um pulmão

Country Status (7)

Country Link
US (1) US20230298164A1 (pt)
EP (1) EP4136612A1 (pt)
KR (1) KR20230002845A (pt)
CN (1) CN115516501A (pt)
BR (1) BR112022020970A2 (pt)
CA (1) CA3175202A1 (pt)
WO (1) WO2021209542A1 (pt)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010035635A (ja) * 2008-07-31 2010-02-18 Takeshi Joko Ａｒｄｓの重症度のスコアを算出する方法、装置およびプログラム
US11288812B2 (en) 2018-01-10 2022-03-29 Institut De Recherche Sur Les Cancers De I Automatic segmentation process of a 3D medical image by one or several neural networks through structured convolution according to the anatomic geometry of the 3D medical image
BR112020014144A2 (pt) 2018-01-10 2020-12-08 Institut de Recherche sur les Cancers de l'Appareil Digestif - IRCAD Sistema e método de segmentação automática de uma imagem médica 3d por várias redes neurais através de convolução estruturada de acordo com a geometria da imagem médica 3d

Also Published As

Publication number Publication date
KR20230002845A (ko) 2023-01-05
CA3175202A1 (en) 2021-10-21
WO2021209542A1 (en) 2021-10-21
US20230298164A1 (en) 2023-09-21
CN115516501A (zh) 2022-12-23
EP4136612A1 (en) 2023-02-22

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