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1. WO2020142746 - SYSTEMS AND METHODS FOR RADIOLOGIC AND PHOTOGRAPHIC IMAGING OF PATIENTS

Publication Number WO/2020/142746
Publication Date 09.07.2020
International Application No. PCT/US2020/012265
International Filing Date 03.01.2020
IPC
A61B 5/117 2016.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
117Identification of persons
A61B 5/00 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
A61B 5/11 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
103Measuring devices for testing the shape, pattern, 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 or mobility of a limb
A61B 6/00 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
A61K 9/00 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
KPREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
9Medicinal preparations characterised by special physical form
G06K 9/20 2006.01
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
20Image acquisition
CPC
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06T 2207/10116
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10116X-ray image
G06T 2207/20084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20084Artificial neural networks [ANN]
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
G06T 7/35
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
30Determination of transform parameters for the alignment of images, i.e. image registration
35using statistical methods
Applicants
  • CAMERAD TECHNOLOGIES [US]/[US]
Inventors
  • WICK, Carson
  • TRIDANDAPANI, Srini
Agents
  • GUYNN, John M.
  • NORTON, Paul J.
Priority Data
62/788,05903.01.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEMS AND METHODS FOR RADIOLOGIC AND PHOTOGRAPHIC IMAGING OF PATIENTS
(FR) SYSTÈMES ET PROCÉDÉS POUR L'IMAGERIE RADIOLOGIQUE ET PHOTOGRAPHIQUE DE PATIENTS
Abstract
(EN)
Patient misidentification errors in medical imaging can result in serious consequences, such as the misdiagnosis of a disease state or the application of an inappropriate treatment regimen. Systems, methods, and apparatuses disclosed herein can properly and consistently identify, adjust, and/or correlate radiologic images with the correct patient. Systems and methods for automated and robust image capture are also provided. Methods for identifying a disease state in a patient and/or for treating a patient having the identified disease state are disclosed and can be based on characteristics identified through deep learning convolutional neural networks and that are associated with photographic and radiologic patient images.
(FR)
Les erreurs d'identification de patient dans l'imagerie médicale peuvent entraîner de graves conséquences, telles que le mauvais diagnostic d'un état pathologique ou l'application d'un régime de traitement inapproprié. L'invention concerne des systèmes, des procédés et des appareils permettant d'identifier, d'ajuster et/ou de corréler correctement et de manière cohérente des images radiologiques avec le patient correct. La présente invention porte également sur des systèmes et sur des procédés pour une capture d'image automatisée et fiable. Des procédés d'identification d'un état pathologique chez un patient et/ou de traitement d'un patient présentant l'état pathologique identifié sont décrits et peuvent être basés sur des caractéristiques identifiées par l'apprentissage profond de réseaux neuronaux convolutionnels et qui sont associées à des images de patient photographiques et radiologiques.
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