Project Details
Abstract
In recent year, Image-Guided Navigation System (IGNS) plays an important role in different fields of surgery significantly. Surgeons make some surgical planning through various types of preoperative medical imaging, and surgeons perform surgeries according to these preoperative medical images. Therefore, the ways to register the information extracted from preoperative medical images to the real surgery scene accurately and to provide information effectively and clearly are two primary key issues for an image-guided surgery navigation system. The goal of this project are focus on the issues of the registration of pre-operative various medical images, target localization and path planning. The traditional way to alleviate this problem is to use electromagnetic sensor-based system for determine the target localization. In this project, we plan to develop an image-based registration system for target localization and path planning with preoperative CT and virtual bronchoscopic by KAZE algorithm. This research project consists of three parts: First, enhancement of pre-treatment CT image and bronchoscopic image, and development of bronchoscopic camera calibration. The second part follows previous result, a hybrid bronchoscope tracking registration system will be developed. In the last part, augmented reality techniques will be integrated into this this system to provide the physician the information about the target location on the patient. In the manner, the surgery safety will be highly increased.
Project IDs
Project ID:PB10708-1952
External Project ID:MOST107-2221-E182-077
External Project ID:MOST107-2221-E182-077
Status | Finished |
---|---|
Effective start/end date | 01/08/18 → 31/07/19 |
Keywords
- Image-Guided Navigation System
- bronchoscopic image registration
- image segmentation
- augmented reality
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