18574158. A METHOD FOR X-RAY IMAGE PROCESSING simplified abstract (KONINKLIJKE PHILIPS N.V.)

A METHOD FOR X-RAY IMAGE PROCESSING

Organization Name

KONINKLIJKE PHILIPS N.V.

Inventor(s)

JENS Von Berg of HAMBURG (DE)

THOMAS Koehler of NORDERSTEDT (DE)

A METHOD FOR X-RAY IMAGE PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18574158 titled 'A METHOD FOR X-RAY IMAGE PROCESSING

The abstract introduces the concept of a dark X-ray (DAX) model that represents the relationships between a DAX signal, respiratory state, and respiratory disease grade. It suggests that by assessing the difference in DAX signals between different respiratory states, the diagnostic accuracy of DAX imaging can be improved.

• The proposed innovation involves a DAX model that captures the connections between DAX signals, respiratory states, and respiratory disease grades.
• By comparing DAX signals at different respiratory states, the model aims to enhance the diagnostic accuracy of DAX imaging.
• The focus is on improving the understanding and detection of respiratory diseases through the analysis of DAX signals.

Potential Applications:

• Medical imaging for respiratory diseases
• Diagnostic tools for assessing respiratory health
• Research in the field of respiratory medicine

Problems Solved:

• Enhancing diagnostic accuracy in respiratory disease detection
• Providing a more comprehensive understanding of respiratory conditions
• Improving the effectiveness of medical imaging techniques

Benefits:

• More accurate diagnosis of respiratory diseases
• Enhanced treatment planning for respiratory conditions
• Potential for early detection and intervention in respiratory health issues

Commercial Applications:

• Medical imaging technology for hospitals and clinics
• Research and development in respiratory medicine
• Potential partnerships with healthcare providers for diagnostic tools

Questions about the technology: 1. How does the DAX model improve the diagnostic accuracy of respiratory diseases? 2. What are the potential limitations of using DAX signals for respiratory health assessment?

Frequently Updated Research: Ongoing studies on the application of DAX imaging in respiratory medicine and the development of advanced diagnostic tools in the field.

Original Abstract Submitted

Concepts for generating a dark X-ray (DAX) model adapted to represent relations between a DAX signal, a respiratory state, and a respiratory disease grade, as well as concepts for using the DAX model are proposed. In particular, as relations between these variables are modelled, the difference between a DAX signal of a subject at a respiratory state, compared to a DAX signal of a subject at a reference respiratory state may be assessed. Thus, the diagnostic accuracy of DAX imaging may be improved.