Currently, 3D medical endoscopes are widely used in urology, gynecology, cardiothoracic surgery, neurosurgery, and other surgical fields, helping doctors accurately identify anatomical structures, improve surgical precision and safety, and reduce trauma and complications. In medical research, 3D endoscopic technology provides more intuitive and detailed observation methods, supporting advancements in precision medicine.
In recent years, China's 3D medical endoscope technology has made breakthrough progress, with some products reaching international standards. Domestic companies such as Tuge Medical, Mindray, Opmandy, and Boshi Medical have launched innovative 3D, 4K, and fluorescence fusion endoscopes, covering gastrointestinal, respiratory, and laparoscopic applications. These products are gradually gaining recognition in Chinese hospitals, with increasing market share.
The imaging quality of 3D medical endoscopes directly affects a surgeon’s spatial perception, precision in operation, and overall surgical safety. However, due to factors such as binocular channel alignment, depth accuracy, image fusion errors, and color consistency, objective evaluation of 3D image quality still faces multiple challenges, including:
Binocular Channel Consistency – A 3D endoscope consists of left and right channels, requiring uniform brightness, color, and contrast between them.
Depth Accuracy – Since 3D imaging relies on parallax calculation, it is crucial to evaluate depth errors and depth of field range.
Image Fusion Precision – Optical channel misalignment can cause image drift or ghosting, affecting the overall 3D visualization quality.
Distortion & Geometric Accuracy – Lens distortion may impact geometric correction, leading to inaccurate spatial measurements.
Color & Contrast Consistency – Under varying brightness conditions, both channels must maintain consistent color, brightness, and contrast.
Stability in Dynamic Scenes – 3D endoscopes must maintain imaging stability and adaptive performance in complex surgical environments.
Lack of Standardization – Current industry standards for 3D medical endoscopes are still evolving, with inconsistent testing methods and evaluation criteria across different products, affecting comparability and regulatory compliance.
ColorSpace provides a comprehensive 3D medical endoscope imaging quality testing solution based on current industry standards. This solution includes test fixtures, standard test charts, the CS-CIQT Medical image quality analysis software, and specialized testing equipment. It enables medical device manufacturers, research institutions, and testing organizations to accurately evaluate the imaging quality of 3D endoscopes.
Related Parameters:
Binocular Camera Imaging Performance | ||
· Binocular Field of View |
· Binocular Viewing Angle |
· Binocular Angular Resolution |
· Binocular Effective Depth of Field |
· Binocular Illumination Variation Rate |
· Binocular Illumination Edge Uniformity |
· Binocular Comprehensive Optical Efficiency |
· Binocular Unit Relative Distortion |
· Binocular Illumination Lens Optical Efficiency |
· Binocular Signal-to-Noise Ratio |
· Binocular Luminance Response Characteristics |
· Binocular Static Image Dynamic Range |
3D-Specific Imaging Performance Parameters | ||
· Binocular Field of View Consistency |
· Binocular Viewing Angle Consistency |
· Binocular Angular Resolution Consistency |
· Binocular Effective Depth of Field Consistency |
· Binocular Unit Relative Distortion Consistency |
· Binocular Luminance Response Consistency |
· Binocular Chromatic Consistency |
· Binocular Signal-to-Noise Ratio (SNR) Consistency |
· Static Image Dynamic Range Consistency |
· Binocular Central Magnification Consistency |
· Object-Space Spatial Relationship Reproducibility |
· Display Latency |
To explore our laboratory setup, on-site testing environment, and equipment layout, click [Schedule a Lab Consultation] or contact us at sales@colorspace.com.cn.
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Email: sales@colorspace.com.cn
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