Enhancing Segmentation Accuracy of the Common Iliac Vein in OLIF51 Surgery in Intraoperative Endoscopic Video through
Summary
Minimally invasive surgery poses challenges for surgeons due to poor visualization. This study developed an AI method to automatically identify the common iliac vein (CIV) in endoscopic images, enhancing surgical safety.
Area of Science:
- Minimally Invasive Surgery
- Medical Imaging
- Surgical Navigation
Background:
- Minimally invasive surgery offers patient benefits but presents visualization challenges for surgeons, particularly with 2D endoscopic views.
- Identifying critical structures like the common iliac vein (CIV) during lumbosacral anterolateral intervertebral fusion is difficult due to anatomical location and similar tissue appearance.
- Current methods rely on surgeon experience and pre-operative imaging, lacking standardized intraoperative support for vein identification.
Purpose of the Study:
- To develop an automated method for extracting common iliac vein (CIV) regions from endoscopic images.
- To enhance surgeon's ability to identify the CIV during surgery, thereby reducing the risk of intraoperative injury.
- To provide a foundation for an intraoperative support system for vein identification in spinal surgery.
Main Methods:
- Development of a novel algorithm for automatic extraction of vein regions in endoscopic surgical video.
- Utilizing deep learning techniques for image analysis and feature extraction.
- Integration of the developed method into an assistive endoscopic system for real-time visual feedback.
Main Results:
- The developed method successfully automated the extraction of vein regions in endoscopic images.
- Visual presentation of the common iliac vein (CIV) to the surgeon was facilitated.
- Potential for reducing the risk of intraoperative injury to the CIV was demonstrated.
Conclusions:
- Automatic extraction of vein regions from endoscopic images can significantly aid surgeon's identification of critical vasculature.
- The developed system shows promise in improving safety and standardization for procedures like lumbosacral anterolateral intervertebral fusion.
- Further development is warranted to establish a comprehensive intraoperative support system for complex spinal surgeries.
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