Predictive Real-time Image Registration for Enhanced Medical Procedures

Publication ID: 24-11857374_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Predictive Real-time Image Registration for Enhanced Medical Procedures,” Published Technical Disclosure No. 24-11857374_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857374_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,374.

Summary of the Inventive Concept

A next-generation image registration system that leverages machine learning, augmented reality, and multi-sensor integration to provide real-time, predictive, and highly accurate registration of ultrasound and X-ray images, enabling more effective and efficient medical procedures.

Background and Problem Solved

The original patent registration of X-ray and ultrasound images has limitations in terms of real-time accuracy and manual input requirements. The new inventive concept addresses these limitations by introducing predictive analytics, automated tracking, and augmented reality capabilities to enhance the registration process.

Detailed Description of the Inventive Concept

The system comprises at least one processor configured to predict future positions of a medical device based on historical position data, using machine learning algorithms to identify patterns in the movement of the device. The processor receives input from multiple sensors, including ultrasound and X-ray sensors, to generate a comprehensive, real-time image of the medical device and its surroundings. The system can display the registered images using augmented reality, providing real-time feedback to medical professionals during procedures. The processor can also automatically detect and track the movement of the medical device, adjusting the registration of the ultrasound images accordingly, without the need for manual input.

Novelty and Inventive Step

The new claims introduce the concept of predictive analytics, automated tracking, and augmented reality capabilities, which are not present in the original patent. These features enable a more accurate, efficient, and real-time registration process, making the new inventive concept novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, variations in sensor configurations, or integration with other medical imaging modalities. Additionally, the system could be adapted for use in different medical procedures or applications, such as surgical navigation or tumor tracking.

Potential Commercial Applications and Market

The predictive real-time image registration system has significant commercial potential in the medical device and healthcare industries, particularly in the fields of interventional radiology, cardiology, and oncology. The system's ability to enhance the accuracy and efficiency of medical procedures could lead to increased adoption and market share.

CPC Classifications

SectionClassGroup
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

Field of Art

Medical imaging technologies, specifically image registration systems for ultrasound and X-ray imaging, involving advanced sensor integration, signal processing, and medical device tracking techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with expertise in signal processing, machine learning, sensor fusion, medical device design, and advanced imaging registration techniques, holding advanced degrees in biomedical engineering or medical imaging

Obviousness Rationale

A PHOSITA would recognize that the proposed variations represent predictable extensions of the source patent's core image registration methodology, leveraging well-established machine learning and sensor fusion techniques to enhance existing medical imaging registration processes. The proposed improvements represent incremental advancements that would be obvious to implement using standard engineering approaches in medical imaging technology. The fundamental registration concept remains consistent, with the proposed variations merely introducing more sophisticated tracking and predictive capabilities.

Obvious Combinations & Variations

Source Patent Element
Image registration system using ultrasound and X-ray image alignment
PTD Variation
Adding machine learning algorithms to predict medical device positioning
Obviousness Reasoning
Predictable application of machine learning to existing registration techniques, representing a known method of improving tracking accuracy in medical imaging systems
Source Patent Element
Processor-based image registration system
PTD Variation
Incorporating multiple sensor inputs for comprehensive device tracking
Obviousness Reasoning
Sensor fusion is a standard technique in medical imaging, representing an obvious enhancement to existing registration methodologies
Source Patent Element
X-ray and ultrasound image alignment system
PTD Variation
Implementing augmented reality display for real-time medical procedure feedback
Obviousness Reasoning
Augmented reality visualization is a predictable extension of existing medical imaging display technologies, representing a design choice for improving user interaction
Source Patent Element
Medical device position tracking in imaging registration
PTD Variation
Automated movement detection without manual input
Obviousness Reasoning
Automated tracking represents an obvious improvement using standard computer vision and signal processing techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857374 and the disclosed technical variations, a person of ordinary skill in the art would find the proposed image registration system improvements obvious and lacking inventive step. The combination of known medical imaging registration techniques with machine learning, sensor fusion, and augmented reality visualization represents a predictable advancement in the field, rendering potential claims covering such variations unpatentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,374
TitleRegistration of x-ray and ultrasound images
Assignee(s)Koninklijke Philips N.V.