Software Development for the Integrated Visualization of Brain Tumor and its Surrounding Fiber Tracts.
- Author:
Jungsu OH
1
;
In Chan SONG
;
Ik Hwan CHO
;
Dong Gyu NA
;
Kee Hyun CHANG
;
Kwang Suk PARK
Author Information
1. Interdisciplinary Program of Medical and Biological Engineering, Seoul National University, Korea.
- Publication Type:Original Article
- Keywords:
Brain tumor;
Fiber tractography;
Diffusion tensor imaging
- MeSH:
Anisotropy;
Brain Neoplasms*;
Brain*;
Diffusion;
Diffusion Tensor Imaging;
Humans;
Magnetic Resonance Imaging
- From:Journal of the Korean Society of Magnetic Resonance in Medicine
2005;9(1):2-8
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: The purpose of this study was to implement a software to visualize tumor and its surrounding fiber tracts simultaneously using diffusion tensor imaging and examine the feasibility of our software for investigating the influence of tumor on its surrounding fiber connectivity. MATERIALS AND METHODS: MR examination including T1-weigted and diffusion tensor images of a patient with brain tumor was performed on a 3.0 T MRI unit. We used the skull-striped brain and segmented tumor images for volume/surface rendering and anatomical information from contrast-enhanced T1-weighted images. Diffusion tensor images for the white matter fiber-tractography were acquired using a SE-EPI with a diffusion scheme of 25 directions. Fiber-tractography was performed using the streamline and tensorline methods. To correct a spatial mismatch between T1- weighted and diffusion tensor images, they were coregistered using a SPM. Our software was implemented under window-based PC system. RESULTS: We successfully implemented the integrated visualization of the fiber tracts with tube-like surfaces, cortical surface and the tumor with volume/surface renderings in a patient with brain tumor. CONCLUSION: Our result showed the feasibility of the integrated visualization of brain tumor and its surrounding fiber tracts. In addition, our implementation for integrated visualization can be utilized to navigate the brain for the quantitative analysis of fractional anisotropy to assess changes in the white matter tract integrity of edematic and peri-edematic regions in a number of tumor patients.
