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Methods to Improve Fiber Reconstruction at Diffusion Tensor Imaging-Based Tractography in the Area of Brain Tumor: Case Illustration and Literature Review.

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  • معلومة اضافية
    • نبذة مختصرة :
      Background and Aim: Diffusion Tensor Imaging (DTI)-based tractography can help us visualize the spatial relation of fiber tracts to brain lesions. Several factors may interfere with the procedure of diffusion-based tractography, especially in brain tumors. The current study aims to discuss several solutions to improve the procedure of fiber reconstruction adjacent to or inside brain lesions. Illustrative cases are also presented. Methods and Materials/Patients: The paper is a narrative review of methods that can improve DTI-based fiber reconstruction in the area of brain tumors. To provide up-to-date information, we briefly reviewed related articles extracted from Google Scholar, Medline, and PubMed. Results: We proposed five techniques to improve fiber reconstruction. Technique 1 is a very low Fractional Anisotropy (FA) application. Technique 2 includes resampling techniques, such as q-ball and High Angular Resolution Diffusion Imaging (HARDI). Technique 3 is the reconstruction of fiber tracts by defining the separated Region of Interest (ROIs). Technique 4 explains the selection of the ROIs according to functional Magnetic Resonance Imaging (fMRI) since the anatomical configuration is distorted by neoplasm. Technique 5 consists of using unprocessed images for preoperative planning and correlation with the clinical situation. Conclusion: DTI tractography is highly sensitive to noise and artifacts. The application of tractography techniques can improve fiber imaging in the area of brain tumors and edema. [ABSTRACT FROM AUTHOR]
    • نبذة مختصرة :
      Copyright of Iranian Journal of Neurosurgery is the property of Negah Institute for Social Research & Scientific Communication and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)