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1. WO2022010716 - JOINT MINIMUM ENTROPY METHOD FOR SIMULTANEOUS PROCESSING AND FUSION OF MULTI-PHYSICS DATA AND IMAGES

Publication Number WO/2022/010716
Publication Date 13.01.2022
International Application No. PCT/US2021/039952
International Filing Date 30.06.2021
IPC
G06F 17/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
G06F 17/50 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
50Computer-aided design
G06F 17/10 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
G06F 17/16 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
16Matrix or vector computation
G06F 17/17 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
17Function evaluation by approximation methods, e.g. interpolation or extrapolation, smoothing or least mean square method
Applicants
  • TECHNOIMAGING, LLC [US]/[US]
Inventors
  • ZHDANOV, Michael, S.
Agents
  • TAYLOR, Paul, N.
  • BULLOUGH, James, S.
  • CARPENTER, John, O.
  • HARDMAN, Thomas, M.
  • HEALY, Tiffany, B.
  • LINGARD, Thomas, L.
  • RICHARDS, Adam, K.
Priority Data
63/049,89209.07.2020US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) JOINT MINIMUM ENTROPY METHOD FOR SIMULTANEOUS PROCESSING AND FUSION OF MULTI-PHYSICS DATA AND IMAGES
(FR) PROCÉDÉ D'ENTROPIE MINIMALE POUR LE TRAITEMENT ET LA FUSION SIMULTANÉS DE DONNÉES MULTI-PHYSIQUES ET D'IMAGES
Abstract
(EN) A method for the simultaneous imaging of different physical properties of an examined medium from multi-physics datasets and for digital enhancement and restoration of multiple multidimensional digital images is described. The method introduces nonnegative joint entropy determined as a joint weighted average of the logarithm of the corresponding density of the model parameters and/or images and/or their attributes. The joint entropy measures are introduced as additional constraints, and their minimization results in enforcing of the order and consistency between the different model parameters and/or multiple images and/or their transforms. The method does not require a priori knowledge about specific physical, or analytical, or empirical, or statistical relationships between the different model parameters and/or multiple images and their attributes, nor does the method require a priori knowledge about specific geometric or structural relationships between different model parameters, images, and/or their attributes.
(FR) Est décrit un procédé pour l'imagerie simultanée de différentes propriétés physiques d'un milieu examiné à partir d'ensembles de données multi-physiques et pour l'amélioration et la restauration numériques de multiples images numériques multidimensionnelles. Le procédé introduit une entropie conjointe non négative déterminée en tant que moyenne pondérée conjointe du logarithme de la densité correspondante des paramètres de modèle et/ou des images et/ou de leurs attributs. Les mesures d'entropie conjointe sont introduites en tant que contraintes supplémentaires, et leur minimisation conduit à l'application de l'ordre et de la cohérence entre les différents paramètres de modèle et/ou les multiples images et/ou leurs transformées. Le procédé ne nécessite pas de connaissance a priori concernant des relations spécifiques physiques, ou analytiques, ou empiriques, ou statistiques entre les différents paramètres de modèle et/ou les multiples images et leurs attributs, et le procédé ne nécessite pas non plus de connaissance a priori concernant des relations spécifiques géométriques ou structurelles entre différents paramètres de modèle, différentes images, et/ou leurs attributs.
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