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1. WO2020114830 - FUNCTIONAL MAGNETIC RESONANCE IMAGING ARTIFACT REMOVAL BY MEANS OF AN ARTIFICIAL NEURAL NETWORK

Publication Number WO/2020/114830
Publication Date 11.06.2020
International Application No. PCT/EP2019/082520
International Filing Date 26.11.2019
IPC
G01R 33/48 2006.01
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance
48NMR imaging systems
G01R 33/56 2006.01
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance
48NMR imaging systems
54Signal processing systems, e.g. using pulse sequences
56Image enhancement or correction, e.g. subtraction or averaging techniques
G01R 33/565 2006.01
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance
48NMR imaging systems
54Signal processing systems, e.g. using pulse sequences
56Image enhancement or correction, e.g. subtraction or averaging techniques
565Correction of image distortions, e.g. due to magnetic field inhomogeneities
CPC
G01R 33/4806
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance [NMR]
48NMR imaging systems
4806Functional imaging of brain activation
G01R 33/5608
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance [NMR]
48NMR imaging systems
54Signal processing systems, e.g. using pulse sequences ; , Generation or control of pulse sequences
56Image enhancement or correction, e.g. subtraction or averaging techniques ; , e.g. improvement of signal-to-noise ratio and resolution
5608Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
G01R 33/56509
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
44using nuclear magnetic resonance [NMR]
48NMR imaging systems
54Signal processing systems, e.g. using pulse sequences ; , Generation or control of pulse sequences
56Image enhancement or correction, e.g. subtraction or averaging techniques ; , e.g. improvement of signal-to-noise ratio and resolution
565Correction of image distortions, e.g. due to magnetic field inhomogeneities
56509due to motion, displacement or flow, e.g. gradient moment nulling
Applicants
  • KONINKLIJKE PHILIPS N.V. [NL]/[NL]
Inventors
  • EWALD, Arne
  • FLAESCHNER, Nick
  • BERNHARD, Gleich
  • GRAESSLIN, Ingmar
  • BOERNERT, Peter
  • SCHMALE, Ingo
  • OVERWEG, Johannes, Adrianus
Agents
  • PHILIPS INTELLECTUAL PROPERTY & STANDARDS
Priority Data
18211002.307.12.2018EP
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) FUNCTIONAL MAGNETIC RESONANCE IMAGING ARTIFACT REMOVAL BY MEANS OF AN ARTIFICIAL NEURAL NETWORK
(FR) ÉLIMINATION D'ARTEFACTS D'IMAGERIE PAR RÉSONANCE MAGNÉTIQUE FONCTIONNELLE AU MOYEN D'UN RÉSEAU NEURONAL ARTIFICIEL
Abstract
(EN)
The invention provides for a medical imaging system (100, 400) comprising a memory (110) storing machine executable instructions (120) and a configured artificial neural network (122). The medical imaging system further comprises a processor (104) configured for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to receive (200) magnetic resonance imaging data (124), wherein the magnetic resonance imaging data is BOLD functional magnetic resonance imaging data descriptive of a time dependent BOLD signal (1100) for each of a set of voxels. Execution of the machine executable instructions further causes the processor to construct (202) a set of initial signals (126) by reconstructing the time dependent BOLD signal for each of the set of voxels using the magnetic resonance imaging data. Execution of the machine executable instructions further causes the processor to receive (204) a set of modified signals (128) in response to inputting the set of initial signals into the configured artificial neural network. The configured artificial neural network is configured for removing physiological artifacts from the set of initial signals.
(FR)
L'invention concerne un système d'imagerie médicale (100, 400) comprenant une mémoire (110) mémorisant des instructions exécutables par machine (120) et un réseau neuronal artificiel configuré (122). Le système d'imagerie médicale comprend en outre un processeur conçu pour commander le système d'imagerie médicale. L'exécution des instructions exécutables par machine amène le processeur à recevoir (200) des données d'imagerie par résonance magnétique (124), les données d'imagerie par résonance magnétique constituant des données d'imagerie par résonance magnétique fonctionnelle BOLD décrivant un signal BOLD (1100) dépendant du temps pour chaque voxel d'un ensemble de voxels. L'exécution des instructions exécutables par machine amène en outre le processeur à construire (202) un ensemble de signaux initiaux (126) par la reconstruction du signal BOLD dépendant du temps pour chaque voxel de l'ensemble de voxels à l'aide des données d'imagerie par résonance magnétique. L'exécution des instructions exécutables par machine amène en outre le processeur à recevoir (204) un ensemble de signaux modifiés (128) en réponse à l'entrée de l'ensemble de signaux initiaux dans le réseau neuronal artificiel configuré. Le réseau neuronal artificiel configuré est conçu pour éliminer des artéfacts physiologiques de l'ensemble de signaux initiaux.
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