Enhanced X-ray and Ultrasound Image Registration System
Legal Citation
Summary of the Inventive Concept
An advanced image registration system that leverages machine learning, hybrid registration techniques, and real-time feedback to improve the accuracy and efficiency of registering live ultrasound images with X-ray images.
Background and Problem Solved
The original patent registration system, while effective, has limitations in terms of accuracy, speed, and adaptability. The new inventive concept addresses these limitations by introducing machine learning-based algorithms, feature-based and intensity-based registration techniques, and real-time feedback mechanisms to enhance the registration process.
Detailed Description of the Inventive Concept
The enhanced system comprises a processor configured to communicate with a beamforming ultrasound probe and a medical device. The processor utilizes machine learning-based algorithms to identify the position of the medical device from the received X-ray image and register the live ultrasound images with the X-ray image. The system incorporates a hybrid approach combining feature-based and intensity-based registration techniques to improve accuracy. Additionally, a real-time feedback mechanism adjusts the registration process to ensure optimal performance. The system can operate in a low-latency mode to enable real-time registration and display of the registered images.
Novelty and Inventive Step
The new claims introduce novel machine learning-based algorithms, hybrid registration techniques, and real-time feedback mechanisms that significantly improve the accuracy and efficiency of the registration process compared to the original patent. These advancements constitute a non-obvious inventive step that addresses the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include utilizing different machine learning algorithms, incorporating additional sensors or imaging modalities, or implementing the system in various medical devices or applications.
Potential Commercial Applications and Market
The enhanced image registration system has significant commercial potential in the medical imaging industry, particularly in applications such as interventional radiology, cardiology, and oncology. The system's improved accuracy and efficiency can lead to better patient outcomes, reduced procedure times, and increased adoption in clinical settings.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B8/5207 |
| A | A61 | A61B6/4417 |
| A | A61 | A61B6/5247 |
| A | A61 | A61B8/0883 |
| A | A61 | A61B8/12 |
| A | A61 | A61B8/4254 |
| A | A61 | A61B8/4416 |
| A | A61 | A61B8/5261 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging technologies, specifically X-ray and ultrasound image registration systems, involving advanced signal processing, medical device integration, and computational image analysis techniques
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical imaging specialist with expertise in signal processing, machine learning, medical device integration, and advanced image registration algorithms, holding a graduate degree in biomedical engineering or medical imaging with 3-5 years of practical experience
Obviousness Rationale
A PHOSITA would recognize that the PTD's machine learning and hybrid registration techniques represent predictable extensions of the source patent's core image registration methodology. The disclosed variations leverage known computational techniques to incrementally improve registration accuracy and efficiency. These modifications represent standard engineering problem-solving approaches within medical imaging technology.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,374 |
|---|---|
| Title | Registration of x-ray and ultrasound images |
| Assignee(s) | Koninklijke Philips N.V. |