Intelligent Radiographic Imaging System for Enhanced Medical Procedures

Publication ID: 24-11857144_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Radiographic Imaging System for Enhanced Medical Procedures,” Published Technical Disclosure No. 24-11857144_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857144_0005_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. 11,857,144.

Summary of the Inventive Concept

The proposed inventive concept revolutionizes radiographic imaging by integrating machine learning algorithms, advanced sensors, and hybrid imaging modalities to provide real-time guidance and tracking during medical procedures, enhancing accuracy, efficiency, and patient safety.

Background and Problem Solved

The original patent, 'Longitudinal-positioning indicator and marking grid', addressed the need for accurate reference indicators in radiographic imaging. However, it had limitations in terms of manual operation, limited precision, and lack of real-time tracking. The new inventive concept tackles these limitations by introducing AI-driven automation, advanced sensors, and hybrid imaging, enabling more precise and efficient medical procedures.

Detailed Description of the Inventive Concept

The proposed system consists of a marking grid with orthogonal coordinates, a machine learning-based algorithm for automatic detection and tracking of biopsy needles, and a hybrid radiographic imaging system combining CT scanning and ultrasound imaging. The system enables real-time tracking of patient movement, automatic detection of optimal insertion points, and fusion of CT and ultrasound images for enhanced visualization. The wearable device for tracking patient movement and the computer-implemented system for planning and guiding medical procedures further enhance the system's capabilities.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of machine learning algorithms, advanced sensors, and hybrid imaging modalities, which provides a paradigm shift in radiographic imaging. The inventive step lies in the integration of these components to enable real-time guidance and tracking during medical procedures, overcoming the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments could include the use of different machine learning algorithms, various types of sensors, or alternative hybrid imaging modalities. Variations could also include the integration of the system with other medical devices, such as robotic-assisted surgery systems, or the development of specialized systems for specific medical procedures.

Potential Commercial Applications and Market

The proposed inventive concept has significant commercial potential in the medical imaging and healthcare industries, with potential applications in hospitals, clinics, and research institutions. The system could be marketed as a standalone solution or integrated into existing medical imaging systems, providing a competitive edge in the market.

CPC Classifications

SectionClassGroup
A A61 A61B6/0492
A A61 A61B90/39
A A61 A61B2090/3966

Field of Art

Medical Imaging and Interventional Radiology, focusing on positioning systems, imaging guidance, and procedural tracking technologies for medical interventions

Person of Ordinary Skill (PHOSITA) Profile

A medical imaging engineer or radiological technologist with expertise in medical device design, imaging guidance systems, coordinate mapping, and sensor integration, typically holding a master's degree or equivalent professional experience in biomedical engineering or medical imaging technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and hybrid imaging extensions represent predictable technological improvements to the foundational positioning and marking grid concepts disclosed in the source patent. The integration of machine learning algorithms with existing radiographic positioning systems represents a natural progression of medical imaging technologies, leveraging known computational techniques to enhance spatial tracking and procedural guidance. The variations demonstrate incremental innovations that would be obvious to a skilled practitioner seeking to improve medical imaging precision and intervention accuracy.

Obvious Combinations & Variations

Source Patent Element
Substrate with longitudinal-positioning guidelines and orthogonal coordinate system
PTD Variation
Machine learning-enhanced marking grid with real-time coordinate adjustment based on patient movement
Obviousness Reasoning
Predictable application of sensor and computational technologies to improve existing positioning system's accuracy and adaptability
Source Patent Element
Static marking grid for identifying body locations
PTD Variation
Hybrid imaging system combining CT and ultrasound with dynamic coordinate tracking
Obviousness Reasoning
Known technique of integrating multiple imaging modalities to provide enhanced visualization and procedural guidance
Source Patent Element
Substrate with parallel guidelines for spatial reference
PTD Variation
Computer-implemented system for automatic detection of optimal insertion points using machine learning algorithms
Obviousness Reasoning
Finite identified solution for improving medical procedure precision through computational analysis of imaging data
Source Patent Element
Positioning indicator with demarcated guidelines
PTD Variation
Wearable device for tracking patient movement and dynamically updating imaging coordinates
Obviousness Reasoning
Logical extension of positioning technology using miniaturized sensors and real-time data processing
Source Patent Element
Radiographic imaging positioning system
PTD Variation
Integration with robotic-assisted surgery systems for enhanced procedural guidance
Obviousness Reasoning
Predictable technological convergence of imaging guidance and robotic intervention technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857144 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations of the presented technical disclosure to be obvious extensions of existing radiographic positioning and imaging guidance technologies. The incremental improvements in machine learning integration, hybrid imaging, and dynamic coordinate tracking represent predictable advancements that would be readily conceived by a skilled practitioner seeking to enhance medical imaging precision and intervention accuracy.

Original Patent Information

Patent NumberUS 11,857,144
TitleLongitudinal-positioning indicator and marking grid