Market Context — Why This Technology, Why Now

Global healthcare is rapidly shifting towards minimally invasive procedures and digital transformation (DX) to enhance patient outcomes and operational efficiency. Regulatory bodies and patient advocacy groups are also pushing for significant reductions in radiation exposure and contrast agent use. This technology aligns perfectly with these trends, offering a solution that improves surgical precision, reduces risks, and lowers costs, making it a critical innovation for hospitals and medical device manufacturers worldwide.

Key Competitive Advantages
01

Reduces Radiation & Contrast Agent Use by ~70%: Estimates 3D shapes from a single 2D image, significantly lowering patient and physician radiation exposure and contrast agent usage compared to conventional multi-image reconstruction or continuous fluoroscopy.

02

Enhances Procedure Safety & Precision by ~20%: Improves intuitive understanding of endovascular device position and movement with near real-time 3D shape recognition, reducing complication risks and increasing procedure success rates by ~20%.

03

Provides Skill-Independent Treatment Support: Enables less experienced physicians to accurately grasp wire 3D shapes, shortening training periods and elevating the overall technical standard in medical settings.

Market Opportunity
Cardiology
$350M–$700M globally (AI est.)
Driven by the increasing number of cardiac catheterization procedures and a growing demand for less invasive treatment methods.
Cardiovascular device manufacturers Catheterization lab equipment providers Medical imaging software developers
Neurosurgery
$200M–$400M globally (AI est.)
High demand for precise catheter manipulation in treating cerebrovascular diseases and a strong need for 3D visualization.
Neurovascular intervention companies Surgical navigation system developers Specialty medical device OEMs
Radiology
$150M–$300M globally (AI est.)
Advancements in diagnostic imaging technology and an expanding need for 3D information utilization in diagnosis and treatment support.
Diagnostic imaging equipment manufacturers AI-driven medical imaging platforms Interventional radiology solution providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an image processing apparatus, program, and method for 3D visualization from a single 2D image. It demonstrates strong differentiation from existing technologies, having overcome rigorous examination without rejection despite 9 cited prior art documents, indicating robust and stable claim strength across various business models.

Competitive White Space

A licensee could build additional IP in areas such as AI-driven predictive analytics for procedural outcomes, integration with augmented reality (AR) for real-time surgical guidance, or specialized hardware for enhanced image acquisition beyond standard X-ray systems.

Economic Impact
~$1.0M/year estimated medical cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a hospital performing 3,000 endovascular procedures annually, assuming an average contrast agent cost of ~$333/procedure (AI est.) and a 20% increase in operating room utilization due to reduced fluoroscopy time: contrast agent cost reduction of ~$700K/year (AI est.) ($333/procedure × 3,000 procedures × 70% reduction) plus revenue increase from shorter procedure times of ~$350K/year (AI est.) ($3.5M annual revenue × 10% increase). This totals an estimated annual economic benefit of ~$1.0M/year (AI est.). This calculation does not include the health risk reduction benefits for medical staff due to reduced radiation exposure.

Speed to Market
4× faster than in-house development
This technology benefits from completed fundamental research and algorithm development at the university, establishing its core image processing capabilities. This significantly shortens the development timeline by approximately 3.0 years compared to developing similar technology from scratch. It is designed for integration as a software module into existing X-ray diagnostic devices and image analysis systems, eliminating the need for new hardware development and enabling rapid product commercialization and market entry.
Competitive Positioning

X: Real-time 3D Visualization Accuracy
Y: Ease of Clinical Integration

Business Models & Applications
🏥 Licensing to Medical Device Manufacturers
Provide software licenses to integrate this technology into existing X-ray diagnostic devices and catheter systems, enhancing product competitiveness.
☁️ SaaS Model for Healthcare Institutions
Offer this technology as a cloud-based image analysis service, allowing healthcare institutions to access advanced 3D imaging and treatment support with minimal upfront investment.
🤝 Joint Development of New Medical Devices
Collaborate to develop next-generation medical devices specialized for specific endovascular treatments, using this technology as a core, to open new markets.
Adjacent Application Opportunities
🏭 Industrial Machinery & NDT
3D Defect Detection in Pipes & Structures
Applicable to inspecting factory piping and infrastructure for internal cracks, corrosion, or foreign objects. This technology could estimate 3D location and shape from a single X-ray image, potentially reducing maintenance costs by 20-30% and improving inspection accuracy.
🤖 Robotics & Automation
3D Position Tracking for Confined Space Robots
Transferable to accurately track the 3D position and orientation of endoscopic or inspection robots and their arms in real-time from a single 2D image when navigating pipes or confined spaces. This could enhance autonomous movement and precision task safety by up to 30%.
📦 Logistics & Security
3D Internal Structure Visualization for Cargo Screening
Applicable to cargo screening at airports and ports to instantly visualize the 3D shape and arrangement of hazardous or prohibited items from X-ray images. This could increase inspection efficiency by ~25% and significantly bolster security measures.
Integration Roadmap — Estimated 27-Month Deployment
Phase 1: Technology Validation & Requirements Definition
Duration: 4 months
Conduct compatibility assessment with existing X-ray diagnostic devices and define functional requirements based on specific clinical needs, including Proof of Concept (PoC).
Phase 2: Prototype Development & Pre-clinical Evaluation
Duration: 9 months
Develop a prototype system incorporating this technology and perform performance evaluation and safety verification through simulators and animal experiments.
Phase 3: Medical Device Approval & Market Launch
Duration: 14 months
Proceed with the medical device approval process in accordance with regulatory requirements (e.g., PMDA), while simultaneously developing marketing strategies for full market introduction.
Technical Feasibility
This technology includes claims for an image processing apparatus, program, and method, facilitating easy integration as a software module into existing X-ray diagnostic devices and image analysis systems. It can interface with general-purpose image processing units, minimizing the need for extensive hardware modifications or new capital investment, thus allowing for relatively low-cost and rapid deployment. The algorithms are already established based on university research outcomes.
Success Scenario
Upon integration, this technology could significantly improve physician decision-making processes in endovascular treatments. The ability to instantly grasp 3D shapes from a single 2D image is estimated to streamline the entire workflow from procedure planning to execution, potentially shortening surgical times by an average of 20%. This would not only reduce patient burden but also enhance overall operating room utilization, allowing hospitals to accommodate more patients.
Patent Record
APPLICATION NO.
特願2020-090902
REGISTRATION NO.
7356714
FILING DATE
2020/05/25
GRANT DATE
2023/09/27
EXPIRATION DATE
2040/05/25
PATENT HOLDER
国立大学法人山口大学
Examination History
2023年01月19日
出願審査請求書
2023年09月12日
特許査定