3D Reconstruction Project

Product Definition
3D reconstruction utilizes AI technology and professional medical annotations to convert 2D CT images into 3D stereoscopic images, enabling doctors to easily and interactively view the spatial relationships between organs, lesions, blood vessels, and other tissues based on CT scans.

Application Scenarios

• Clinical Diagnosis and Treatment: Providing 3D digital reconstruction technology services, 3D printing services, and personalized product solutions for clinical needs in major complex cases such as thoracic surgery, hepatobiliary surgery, urological surgery, cardiovascular surgery, oncology, and orthopedics.

• Surgical Planning: Empowering surgical planning, reducing surgical risks, shortening operation time, and improving surgical outcomes.

• Research Support: Providing professional digital clinical technology services and research support to cutting-edge medical institutions.

• Medical Education: Assisting young doctors and medical students in surgical training to enhance teaching standards.

Core Features

• Intelligent 3D View Generation: Precisely highlights the lesion location, allowing for 360-degree analysis of its 3D shape and accurate calculation of the lesion's diameter, volume, and other information.

• Vessel and Organ Segmentation and Measurement: Automated segmentation of arteries and veins related to organs, such as precise depiction of pulmonary arteries and veins. It assists in vascular marking, structural analysis, and portable 3D measurement of vessel diameters.

• 3D Printing and Follow-up Services: For cases requiring follow-up services like 3D printing, precise physical 3D models are provided, allowing doctors to better visualize each patient's anatomical differences.

Technical Principles

• Overall Solution Framework: Includes 3D model generation, metric calculations, 3D printing, dual verification, and other steps.

• AI Model and Professional Annotation: Combines AI models for medical imaging with professional manual annotations for organ identification, lesion identification, data validation, lesion marking, image processing, intelligent segmentation, vascular tracking, and organ optimization.

• Result Verification and Quality Control: The final delivery undergoes a quality check by a professional quality inspection team, providing feedback to ensure the reconstruction quality.

Project Value

• For Clinicians: Helps doctors intuitively understand the relationship between tumor lesions, relevant vascular systems, blood vessels, and tissues, assists in pre-surgery resection feasibility analysis, surgical planning, and precise resection operations.

• For Patients: Provides a clearer communication platform between doctors and patients, allowing patients to understand their medical condition and surgery plans before the operation, which maximizes the preservation of healthy tissues, reduces surgical blood loss, and lowers the risk of postoperative complications like organ failure.

• For Departments: Greatly enhances the research level and reputation of experts and departments, allowing for better publicity and increasing the department's academic influence.

• For Education: Assists young doctors and medical students in surgical training and helps improve the overall quality of teaching.