Home > Published Issues > 2023 > Volume 11, No. 1, March 2023 >
JOIG 2023 Vol.11(1): 32-39
doi: 10.18178/joig.11.1.32-39

Application of Medical Image 3D Visualization Web Platform in Auxiliary Diagnosis and Preoperative Planning

Shengyu Bai 1, Chen Ma 2, Xinjun Wang 3,*, Shaolong Zhou 4, Hongyu Jiang 5, Ling Ma 6,*,and Huiqin Jiang 7
1. Institute of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China;
Email: ttiimmbba@gmail.com (S.B.)
2. Department of Computer Science, City University of Hong Kong, Hong Kong, China;
Email: chenma@cityu.edu.hk (C.M.)
3. The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
4. The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
5. Zhilikang Information Technology Co., LTD, Zhengzhou, China
6. Institute of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China
7. School of Electrical Engineering and Research Center of Digital Medical Image Technique, Zhengzhou University, Zhengzhou, China; Email: iehqjiang@zzu.edu.cn (H.J.)
*Correspondence: wangxj@zzu.edu.cn (X.W.), ielma@zzu.edu.cn (L.M.)

Manuscript received July 21, 2022; revised August 29, 2022; accepted September 29, 2022.

Abstract—Three-dimensional visualization of medical image data can enable doctors to observe images from more angles and higher dimensions. It is of great significance for doctors to assist in diagnosis and preoperative planning. Most 3D visualization systems are based on desktop applications, which are too dependent on hardware and operating system. This makes it difficult to use across platforms and maintain. Web-based systems tend to have limited capabilities. To this end, we developed a web application, which not only provides DICOM (Digital Imaging and Communications in Medicine) image browsing and annotation functions, but also provides three-dimensional post-processing functions of multiplanar reconstruction, volume rendering, lung parenchyma segmentation and brain MRI (Magnetic Resonance Imaging) analysis. In order to improve the rendering speed, we use the Marching Cube algorithm for 3D reconstruction in the background in an asynchronous way, and save the reconstructed model as glTF (GL Transmission Format). At the same time, Draco compression algorithm is used to optimize the glTF model to achieve more efficient rendering. After performance evaluation, the system reconstructed a CT (Computed Tomography) series of 242 slices and the optimized model was only 6.37mb with a rendering time of less than 2.5s. Three-dimensional visualization of the lung parenchyma clearly shows the volume, location, and shape of pulmonary nodules. The segmentation and reconstruction of different brain tissues can reveal the spatial three-dimensional structure and adjacent relationship of glioma in the brain, which has great application value in auxiliary diagnosis and preoperative planning.

Keywords—3D visualization, auxiliary diagnosis, preoperative planning, web application

Cite: Shengyu Bai, Chen Ma, Xinjun Wang, Shaolong Zhou, Hongyu Jiang, Ling Ma, and Huiqin Jiang, "Application of Medical Image 3D Visualization Web Platform in Auxiliary Diagnosis and Preoperative Planning," Journal of Image and Graphics, Vol. 11, No. 1, pp. 32-39, March 2023.



Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

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