Processing

Please wait...

Settings

Settings

Goto Application

1. US20220020145 - REAL-TIME ESTIMATION OF LOCAL CARDIAC TISSUE PROPERTIES AND UNCERTAINTIES BASED ON IMAGING AND ELECTRO-ANATOMICAL MAPS

Office
United States of America
Application Number 17305631
Application Date 12.07.2021
Publication Number 20220020145
Publication Date 20.01.2022
Publication Kind A1
IPC
G06T 7/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
G06T 7/11
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
10Segmentation; Edge detection
11Region-based segmentation
A61B 6/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
CPC
G06K 9/6219
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6218Clustering techniques
6219Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendogram
G06T 7/0012
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
0002Inspection of images, e.g. flaw detection
0012Biomedical image inspection
G06K 9/6282
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6279relating to the number of classes
628Multiple classes
6281Piecewise classification, i.e. whereby each classification requires several discriminant rules
6282Tree-organised sequential classifiers
G06K 9/6215
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6201Matching; Proximity measures
6215Proximity measures, i.e. similarity or distance measures
A61B 6/50
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
50Clinical applications
A61B 6/5217
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
52Devices using data or image processing specially adapted for radiation diagnosis
5211involving processing of medical diagnostic data
5217extracting a diagnostic or physiological parameter from medical diagnostic data
Applicants Siemens Healthcare GmbH
Inventors Felix Meister
Tiziano Passerini
Tommaso Mansi
Eric Lluch Alvarez
ChloƩ Audigier
Viorel Mihalef
Title
(EN) REAL-TIME ESTIMATION OF LOCAL CARDIAC TISSUE PROPERTIES AND UNCERTAINTIES BASED ON IMAGING AND ELECTRO-ANATOMICAL MAPS
Abstract
(EN)

Systems and methods for automatically detecting a disease in medical images are provided. Input medical images are received. A plurality of metrics for a disease is computed for each of the input medical images. The input medical images are clustered into a plurality of clusters based on one or more of the plurality of metrics to classify the input medical images. The plurality of clusters comprise a cluster of one or more of the input medical images associated with the disease and one or more clusters of one or more of the input medical images not associated with the disease. In one embodiment, the disease is COVID-19 (coronavirus disease 2019).