Global healthcare systems face immense pressure to deliver more precise, less invasive, and cost-effective diagnostics. The rise of personalized medicine and preventative care mandates technologies that can detect subtle physiological changes early. This patent offers a critical advancement by enhancing the diagnostic capabilities of ubiquitous CT scanners, aligning with the global push for improved patient outcomes and optimized healthcare resource utilization, particularly in oncology and inflammatory disease management.
Reduces image noise by up to 20% by converting CT value variations to temperature variations, enabling high-precision detection of subtle thermal changes.
Generates temperature distribution information with varying display modes based on set temperature resolution, supporting intuitive diagnostics.
Integrates as a software module into existing CT systems, visualizing deep internal temperature anomalies without increasing patient burden.
This patent provides strong and stable protection for its core technology, with claims covering the calculation of CT value variations, temperature conversion using a lookup table, temperature resolution setting, and temperature distribution information generation. Its high originality is supported by a limited number of prior art documents, ensuring a robust foundation for licensees.
Adjacent areas for further IP development could include integrating this temperature mapping with other imaging modalities like MRI or ultrasound for multi-modal diagnostic fusion, or extending its application to real-time therapeutic monitoring during procedures such as ablation or hyperthermia.
Improving diagnostic accuracy by 5% could reduce re-examinations and unnecessary treatments by 500 cases annually. Assuming a medical cost of $2,000 per case, this could result in an annual reduction of ~$1M ($2,000/case × 500 cases) (AI est.). This is particularly impactful for early tumor detection and inflammation localization, contributing to reduced patient burden and optimized medical resources.
X: Diagnostic Accuracy and Resolution
Y: Ease of Implementation and Cost Efficiency