The Benefits and implementations of Diffusion tensor imaging and Neural Fiber Tractography in Brain Surgery

Authors

  • Afsoun Seddighi Associate Professor of Neurosurgery, Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Alireza Zali Professor of Neurosurgery, Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Amir Saied Seddighi Associate Professor of Neurosurgery, Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Davood Ommi Assistant Professor of Anesthesiology, Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Hamid Reza Azizi Faresani Associate Professor of Anesthesiology, Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Mahsa Ghadirian Member of Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Nooshin Masoudian Assistant Professor of Neurology, Qazvin University of Medical Sciences, Qazvin, Iran
  • Seyed Mahmoud Tabatabaei Far Professor of Neurosurgery, Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract:

Background and Aim: The methods for detecting brain activation with fMRI, MRI provides a way to measure the anatomical connections which enable lightning-fast communication among neurons that specialize in different kinds of brain functions. Diffusion tensor imaging is able to measure the direction of bundles of the axonal fibers which are all aligned. Besides mapping white matter fiber tracts, these methods can enable us to detect and characterize disorders of white matter in disease. The objective of this narrative review is to overview current knowledge concerning diffusion tensor imaging (DTI) as one of the prominent popular MRI techniques which provides a well-planned tool for comprehensive, noninvasive, functional anatomy mapping of the human brain in both research and practical field. This review summarizes the DTI development in recent years with respect to the specificity and utility of this technique in brain surgery. Methods and Materials: The significance of mapping the structure of white matter tracts, constructively the brain's wiring by visualization and characterization of white matter fasciculi in two and three dimensions enables us to profound how different brain regions are connected & how diseases affect white matter & cause neurological problems. And we noted that while DTI proposes a potent tool to study and visualize white matter, it suffers from inherent artifacts and limitations. Additionally, some materials about the origin of the DTI signal and unique information on white matter and 3D visualization of neuronal tracts have been raised. Results: Implication: This article focuses on DTI modality, and its computational techniques, and investigates significant considerations in this regard. Moreover, an inspection of the white matter architecture and integrity of the normal and diseased brains (e.g. multiple sclerosis, stroke, aging, dementia, schizophrenia, etc.) have been raised up as a clinical application of tractography. Conclusion: The utilization of advances in diffusion-tensor (DT) imaging techniques considerably enables us to map the WMT in the normal brain. These techniques definitely impress the operative decision in a surgical operation especially concerning cerebral neoplasms. Also making a judgment with the assistance of DTI in each subject could be feasible.

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Journal title

volume 8  issue Special Issue

pages  5- 5

publication date 2022-08

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