Registration of Bronchoscopic Image and CT Virtual Image with Coarse-to-Fine Strategy

被引：0
|
作者：
Lee, Jiann-Der [1 ,2 ,3 ]
Chen, Hou-Chuan [1 ]
Li, Shih-Hong [4 ]
机构：
[1] Chang Gung Univ, Dept Elect Engn, Taoyuan 333, Taiwan
[2] Chang Gung Mem Hosp LinKou, Dept Neurosurg, Taoyuan 333, Taiwan
[3] Ming Chi Univ Technol, Dept Elect Engn, New Taipei 24301, Taiwan
[4] Chang Gung Mem Hosp LinKou, Dept Thorac Med, Taoyuan 333, Taiwan
来源：
PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ) | 2018年
关键词：
image registration; similarity measure; TRACKING;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Endobronchial navigation system in the transbronchial lung biopsy is an important tool during the operation, including the alignment of bronchoscopic images and preoperative CT image, to help the precise positioning of target lesions. In this study, a new method with coarse-to-fine strategy is proposed to achieve this goal. First of all, with the aid of optical flow method, epipolar geometry analysis between the two consequential images is used to obtain the initial position of the bronchoscopy. Next, in the stage of image similarity comparison, the property of image saturation and brightness is employed to effectively eliminate the reflection caused by the endoscope light source and the bubbles generated by saliva interference. The experimental results also show that the proposed method can provide clinicians the spatial information needed for bronchoscopic follow-up.
引用
收藏
页码：155 / 157
页数：3
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