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1. WO2014044284 - RISK PREDICTION OF TISSUE INFARCTION

Publication Number WO/2014/044284
Publication Date 27.03.2014
International Application No. PCT/DK2013/050301
International Filing Date 19.09.2013
IPC
G06T 7/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
CPC
G01C 11/04
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
11Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
04Interpretation of pictures
G06F 17/18
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
18for evaluating statistical data ; , e.g. average values, frequency distributions, probability functions, regression analysis
G06T 2200/04
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2200Indexing scheme for image data processing or generation, in general
04involving 3D image data
G06T 2207/10088
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10072Tomographic images
10088Magnetic resonance imaging [MRI]
G06T 2207/20076
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20076Probabilistic image processing
G06T 2207/30016
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
30Subject of image; Context of image processing
30004Biomedical image processing
30016Brain
Applicants
  • AARHUS UNIVERSITET [DK]/[DK]
Inventors
  • MOURIDSEN, Kim
  • NAGENTHIRAJA, Kartheeban
  • HANSEN, Mikkel Bo
Agents
  • PLOUGMANN & VINGTOFT A/S
Priority Data
PA 2012 7057819.09.2012DK
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) RISK PREDICTION OF TISSUE INFARCTION
(FR) PRÉDICTION DU RISQUE D'INFARCTUS TISSULAIRE
Abstract
(EN)
The present invention relates to a method for generating a risk map indicating predicted voxel-by-voxel probability of tissue infarction for a set of voxels, the method comprising the steps of, receiving for each voxel a first value (x) corresponding to a set of tissue marker values and generating the risk map, using a statistical model based on data from a group of subjects, and a stochastic variable, wherein the statistical model also comprises a second value (zi), being based on the stochastic variable, such as the second value modelling non- measured values. The invention may be seen as advantageous since it acknowledges subject variability in probability of tissue infarction on a voxel-by- voxel basis by taking non-measured values into account, which in turn may enable providing more reliable estimates of probability of infarction.
(FR)
La présente invention concerne un procédé de génération d'une carte des risques, indiquant une probabilité d'infarctus tissulaire prédite voxel par voxel pour un ensemble de voxels, le procédé comprenant les étapes consistant à recevoir, pour chaque voxel, une première valeur (x) correspondant à un ensemble de valeurs marqueurs tissulaires et générer la carte des risques, à l'aide d'un modèle statistique basé sur des données émanant d'un groupe de sujets et d'une variable stochastique, le modèle statistique comprenant également une seconde valeur (zi), basée sur la variable stochastique, telle que la seconde valeur modélisant des valeurs non mesurées. L'invention peut être considérée comme avantageuse puisqu'elle reconnaît la variabilité des sujets dans la probabilité d'infarctus tissulaire sur une base voxel par voxel, en tenant compte des valeurs non mesurées, ce qui peut à son tour permettre d'obtenir des estimations plus fiables de probabilité d'infarctus.
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