EP 3532988 A1 20190904 - METHOD AND APPARATUS FOR PROGRAMMABLE, REAL-TIME, MULTI-DOMENSIONAL OBJECT PATTERN RECOGNITION ALGORITHMS (OPRA)
Title (en)
METHOD AND APPARATUS FOR PROGRAMMABLE, REAL-TIME, MULTI-DOMENSIONAL OBJECT PATTERN RECOGNITION ALGORITHMS (OPRA)
Title (de)
VERFAHREN UND VORRICHTUNG FÜR PROGRAMMIERBARE ALGORITHMEN ZUR ERKENNUNG VON MEHRDIMENSIONALEN OBJEKTMUSTERN (OPRA) IN ECHTZEIT
Title (fr)
PROCÉDÉ ET APPAREIL POUR ALGORITHMES PROGRAMMABLES MULTIDIMENSIONNELS EN TEMPS RÉEL DE RECONNAISSANCE DE FORMES D'OBJETS (OPRA)
Publication
Application
Priority
- US 201615338256 A 20161028
- US 2017059133 W 20171030
Abstract (en)
[origin: AU2017347911A1] The present 3D-Flow OPRA is a revolutionary electronic instrument for multiple applications: advancing science, saving lives, finding and tracking fast moving objects, etc. It allows to build a flexible, scalable, technology-independent, cost effective powerful tool to uncover the unknown and to confirm or exclude the existence of a subatomic particle predicted by theoretical physicists. When used for Medical Imaging applications the 3D-Flow OPRA allows to accurately measure minimum abnormal biological processes of diseases at an early curable stage such as cancer in a 3D-CBS (3-D Complete Body Screening), improving diagnosis and prognosis to maximize reduction of premature deaths and minimize cost per each life saved. Both instruments, the 3D-Flow OPRA and the 3DCBS can benefit from the additional ER/DSU invention also described in this non-provisional patent application, which allows to record real data from detectors.
IPC 8 full level
CPC (source: EP US)
A61B 6/037 (2013.01 - EP); A61B 6/5217 (2013.01 - EP US); G01T 1/2985 (2013.01 - EP); G06V 10/94 (2022.01 - US); G06V 2201/03 (2022.01 - EP)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
AU 2017347911 A1 20190530; EP 3532988 A1 20190904; EP 3532988 A4 20201209
DOCDB simple family (application)
AU 2017347911 A 20171030; EP 17863921 A 20171030