The scalp localization system of neurosurgery based on augmented reality theory.
10.7507/1001-5515.201711061
- Author:
Hongli YAN
1
,
2
,
3
;
Junwen GUAN
1
,
4
;
Yonghong LI
5
;
Qiuming ZHANG
6
;
Yicheng ZHOU
6
;
Xuepei LI
6
;
Jianglong XU
6
Author Information
1. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, P.R.China
2. Department of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, P.R.China
3. Yibin Vocational and Technical College, Yibin, Sichuan 644003, P.R.China.
4. Department of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, P.R.China.Jwguan168@163.com.
5. Department of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, P.R.China.
6. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
- Publication Type:Journal Article
- Keywords:
Android;
augmented reality;
body surface registration;
neurosurgery;
three-dimensional reconstruction
- MeSH:
Humans;
Imaging, Three-Dimensional;
Magnetic Resonance Imaging;
Neurosurgery;
methods;
Scalp;
Tomography, X-Ray Computed
- From:
Journal of Biomedical Engineering
2019;36(3):428-434
- CountryChina
- Language:Chinese
-
Abstract:
Neurosurgery navigation system, which is expensive and complicated to operate, has a low penetration rate, and is only found in some large medical institutions. In order to meet the needs of other small and medium-sized medical institutions for neurosurgical navigation systems, the scalp localization system of neurosurgery based on augmented reality (AR) theory was developed. AR technology is used to fuse virtual world images with real images. The system integrates computed tomography (CT) or magnetic resonance imaging (MRI) with the patient's head in real life to achieve the scalp positioning. This article focuses on the key points of Digital Imaging and Communications in Medicine (DICOM) standard, three-dimensional (3D) reconstruction, and AR image layer fusion in medical image visualization. This research shows that the system is suitable for a variety of mobile phones, can achieve two-dimensional (2D) image display, 3D rendering and clinical scalp positioning application, which has a certain significance for the auxiliary neurosurgical head surface positioning.
