EMTensor GmbH (20240310423). ELECTROMAGNETIC INTERFERENCE PATTERN RECOGNITION TOMOGRAPHY simplified abstract
Contents
ELECTROMAGNETIC INTERFERENCE PATTERN RECOGNITION TOMOGRAPHY
Organization Name
Inventor(s)
Serguei Y. Semenov of VIenna (AT)
ELECTROMAGNETIC INTERFERENCE PATTERN RECOGNITION TOMOGRAPHY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240310423 titled 'ELECTROMAGNETIC INTERFERENCE PATTERN RECOGNITION TOMOGRAPHY
The patent application describes an electromagnetic interference pattern recognition tomography (EMIPRT) method used in an image reconstruction system. This method involves generating electromagnetic field data of an object in an imaging domain through an electromagnetic tomography system. The data is then used recursively to form undisturbed and disturbed electromagnetic interference images, recognize interference patterns, and create a superposition image by nullifying or diminishing the interference patterns.
- The method involves generating electromagnetic field data of an object in an imaging domain.
- The data is used recursively to form undisturbed and disturbed electromagnetic interference images.
- Interference patterns are recognized in the disturbed images.
- A superposition image is created by nullifying or diminishing the interference patterns.
- The process includes determining convergence objectives after each step.
Potential Applications: - Medical imaging - Non-destructive testing in industrial applications - Security screening
Problems Solved: - Improved image reconstruction in the presence of electromagnetic interference - Enhanced accuracy in identifying interference patterns
Benefits: - Higher quality imaging results - Increased efficiency in image reconstruction - Better detection and recognition of interference patterns
Commercial Applications: Title: Advanced Electromagnetic Interference Pattern Recognition System for Image Reconstruction This technology can be used in medical imaging devices, industrial inspection systems, and security scanners to improve image quality and accuracy.
Prior Art: Prior research in electromagnetic tomography and image reconstruction methods can provide valuable insights into the development of this technology.
Frequently Updated Research: Researchers are continually exploring new algorithms and techniques to enhance electromagnetic interference pattern recognition in image reconstruction systems.
Questions about Electromagnetic Interference Pattern Recognition Tomography: 1. How does the EMIPRT method improve image reconstruction compared to traditional methods? 2. What are the potential challenges in implementing this technology in real-world applications?
Original Abstract Submitted
an electromagnetic interference pattern recognition tomography (emiprt) method for use in an image reconstruction system includes generating electromagnetic field data corresponding to an object in an imaging domain, via an electromagnetic tomography system, and using the generated electromagnetic field data, repeatedly, in recursive manner, forming an undisturbed electromagnetic interference image, forming a disturbed electromagnetic interference image based on the undisturbed electromagnetic interference image, recognizing electromagnetic interference patterns in the repeatedly formed disturbed electromagnetic interference images, and forming a superposition image by nullifying or diminishing the recognized electromagnetic interference patterns from the disturbed electromagnetic interference image. forming a disturbed electromagnetic interference image is also based on an object factor that is a function of the differences between experimentally electromagnetic fields and electromagnetic fields calculated during the step of forming an undisturbed electromagnetic interference image. after each repeated step of forming a superposition image, the method also includes determining whether a convergence objective has been reached.
