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MX2022016373A - Sistemas y metodos para analisis de imagenes basado en inteligencia artificial para deteccion y caracterizacion de lesiones. - Google Patents

Sistemas y metodos para analisis de imagenes basado en inteligencia artificial para deteccion y caracterizacion de lesiones.

Info

Publication number
MX2022016373A
MX2022016373A MX2022016373A MX2022016373A MX2022016373A MX 2022016373 A MX2022016373 A MX 2022016373A MX 2022016373 A MX2022016373 A MX 2022016373A MX 2022016373 A MX2022016373 A MX 2022016373A MX 2022016373 A MX2022016373 A MX 2022016373A
Authority
MX
Mexico
Prior art keywords
lesions
characterization
detection
lesion
systems
Prior art date
Application number
MX2022016373A
Other languages
English (en)
Inventor
Johan Martin Brynolfsson
Kerstin Elsa Maria Johnsson
Hannicka Maria Eleonora Sahlstedt
Jens Filip Andreas Richter
Original Assignee
Exini Diagnostics Ab
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
Priority claimed from US17/008,411 external-priority patent/US11721428B2/en
Application filed by Exini Diagnostics Ab filed Critical Exini Diagnostics Ab
Publication of MX2022016373A publication Critical patent/MX2022016373A/es

Links

Classifications

    • 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
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G06V20/653—Three-dimensional objects by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/253—Fusion techniques of extracted features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification
    • 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
    • G06T2207/10104—Positron emission tomography [PET]
    • 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
    • G06T2207/10108—Single photon emission computed tomography [SPECT]
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G06V2201/032—Recognition of patterns in medical or anatomical images of protuberances, polyps nodules, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Mathematical Physics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Nuclear Medicine (AREA)

Abstract

En la presente se presentan sistemas y métodos que proporcionan una detección y caracterización mejoradas de lesiones dentro de un sujeto mediante análisis automatizado de imágenes de medicina nuclear, tal como imágenes de tomografía de emisión de positrones (PET) y tomografía computarizada de emisión de fotón único (SPECT). En particular, en ciertas modalidades, los enfoques descritos en la presente aprovechan la inteligencia artificial (AI) para detectar regiones de imágenes de medicina nuclear 3D correspondientes a puntos críticos que representan lesiones cancerosas potenciales en el sujeto. Los módulos de aprendizaje automático se pueden usar no solo para detectar la presencia y ubicaciones de estas regiones dentro de una imagen, sino también para segmentar la región correspondiente a la lesión y/o clasificar estos puntos críticos con base en la probabilidad de que sean indicativos de una lesión cancerosa subyacente verdadera. Esta detección, segmentación y clasificación de lesiones basadas en AI puede proporcionar una base para una caracterización adicional de las lesiones, carga tumoral general y estimación de la gravedad y riesgo de la enfermedad.
MX2022016373A 2020-07-06 2021-07-02 Sistemas y metodos para analisis de imagenes basado en inteligencia artificial para deteccion y caracterizacion de lesiones. MX2022016373A (es)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202063048436P 2020-07-06 2020-07-06
US17/008,411 US11721428B2 (en) 2020-07-06 2020-08-31 Systems and methods for artificial intelligence-based image analysis for detection and characterization of lesions
US202063127666P 2020-12-18 2020-12-18
US202163209317P 2021-06-10 2021-06-10
PCT/EP2021/068337 WO2022008374A1 (en) 2020-07-06 2021-07-02 Systems and methods for artificial intelligence-based image analysis for detection and characterization of lesions

Publications (1)

Publication Number Publication Date
MX2022016373A true MX2022016373A (es) 2023-03-06

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MX2022016373A MX2022016373A (es) 2020-07-06 2021-07-02 Sistemas y metodos para analisis de imagenes basado en inteligencia artificial para deteccion y caracterizacion de lesiones.

Country Status (10)

Country Link
EP (1) EP4176377A1 (es)
JP (1) JP2023532761A (es)
KR (1) KR20230050319A (es)
CN (1) CN116134479A (es)
AU (1) AU2021305935A1 (es)
BR (1) BR112022026642A2 (es)
CA (1) CA3163190A1 (es)
MX (1) MX2022016373A (es)
TW (1) TW202207241A (es)
WO (1) WO2022008374A1 (es)

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Publication number Publication date
TW202207241A (zh) 2022-02-16
WO2022008374A1 (en) 2022-01-13
EP4176377A1 (en) 2023-05-10
AU2021305935A1 (en) 2023-02-02
CN116134479A (zh) 2023-05-16
JP2023532761A (ja) 2023-07-31
CA3163190A1 (en) 2022-01-13
KR20230050319A (ko) 2023-04-14
BR112022026642A2 (pt) 2023-01-24

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