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1. WO2022000025 - MEDICAL IMAGING WITH INVALID DATA REMOVAL

Publication Number WO/2022/000025
Publication Date 06.01.2022
International Application No. PCT/AU2021/050672
International Filing Date 25.06.2021
IPC
G06T 7/20 2017.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
20Analysis of motion
A61B 5/00 2006.1
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
G16H 30/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
CPC
A61B 5/0042
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
0033Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
004adapted for image acquisition of a particular organ or body part
0042for the brain
A61B 5/055
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
055involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61B 5/11
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
103Detecting, measuring or recording devices for testing the shape, pattern, ; colour,; size or movement of the body or parts thereof, for diagnostic purposes
11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
G06T 15/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
153D [Three Dimensional] image rendering
08Volume rendering
G06T 2207/10016
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10016Video; Image sequence
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]
Applicants
  • OMNISCIENT NEUROTECHNOLOGY PTY LIMITED [AU]/[AU]
Inventors
  • SUGHRUE, Michael Edward
  • DOYEN, Stephane Philippe
  • NICHOLAS, Peter James
Agents
  • SPRUSON & FERGUSON
Priority Data
16/919,83602.07.2020US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) MEDICAL IMAGING WITH INVALID DATA REMOVAL
(FR) IMAGERIE MÉDICALE AVEC ÉLIMINATION DE DONNÉES NON VALIDES
Abstract
(EN) The following provides an exemplary method. An image is generated. Scan data generated by the sensing of a subject brain is received and a sequence of volumetric-images are accessed. For at least some of the voxels in at least some of the volumetric images, a change value is determined for the voxel by comparing the current-intensity value of the voxel to the adjacent-intensity value of the comparison voxel. For at least some of the plurality volumetric images, a first-aggregate is determined using at least a mean value of change values of the volumetric image and a second-aggregate is determined using at least a median value of change values of the volumetric image. At least one, but not all, of the volumetric images is determined as invalid as a result of the aggregates.
(FR) L'invention concerne un procédé donné à titre d'exemple. Une image est générée. Des données de balayage générées par la détection du cerveau d'un sujet sont reçues et une séquence d'images volumétriques est accessible. Pour au moins certains des voxels dans au moins certaines des images volumétriques, une valeur de changement est déterminée pour le voxel par comparaison de la valeur d'intensité courante du voxel à la valeur d'intensité adjacente du voxel de comparaison. Pour au moins une partie de la pluralité d'images volumétriques, un premier agrégat est déterminé à l'aide d'au moins une valeur moyenne de valeurs de changement de l'image volumétrique et un second agrégat est déterminé à l'aide d'au moins une valeur moyenne de valeurs de changement de l'image volumétrique. Au moins une, mais pas toutes, des images volumétriques est déterminée comme invalide en raison des agrégats.
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