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Real-Time Study and Analysis of Brain Fiber Using 3D-Printed Tractography

Real-Time Study and Analysis of Brain Fiber Using 3D-Printed Tractography

V. S. Ramya Lakshmi, N. R. Raajan, Natarajan Prabaharan, K. Hariharan
Copyright: © 2023 |Pages: 21
ISBN13: 9781668483060|ISBN10: 1668483068|ISBN13 Softcover: 9781668483077|EISBN13: 9781668483084
DOI: 10.4018/978-1-6684-8306-0.ch015
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MLA

Ramya Lakshmi, V. S., et al. "Real-Time Study and Analysis of Brain Fiber Using 3D-Printed Tractography." Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications, edited by Ponnusamy Sivaram, et al., IGI Global, 2023, pp. 264-284. https://doi.org/10.4018/978-1-6684-8306-0.ch015

APA

Ramya Lakshmi, V. S., Raajan, N. R., Prabaharan, N., & Hariharan, K. (2023). Real-Time Study and Analysis of Brain Fiber Using 3D-Printed Tractography. In P. Sivaram, S. Senthilkumar, L. Gupta, & N. Lokesh (Eds.), Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications (pp. 264-284). IGI Global. https://doi.org/10.4018/978-1-6684-8306-0.ch015

Chicago

Ramya Lakshmi, V. S., et al. "Real-Time Study and Analysis of Brain Fiber Using 3D-Printed Tractography." In Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications, edited by Ponnusamy Sivaram, et al., 264-284. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-8306-0.ch015

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Abstract

With the overwhelming success of three-dimensional (3D) modeling technology of patient anatomy, surgeons are able to intuitively understand the most complex morphologies. In this work, the tractography model is constructed by focusing on the sub-voxel asymmetry and fiber consistency to enhance cortical tractography with strongly bent axonal trajectories which help to identify the fiber track by using the diffusion tensor imagining (DTI) method. The DTI algorithm is compared with the other tracking algorithms and the track parameters for different patients are compared. It is proven that the DTI method provides higher accuracy of 96.76% in tracking the cross fibers. The Y-axis dispersion for the different regions of interest from the tract center is measured. The tract amplitudes at this separation are decreased by 75% from the peak value. The 3D model is printed using an ultimate 3D printing machine at a diameter of about 0.025 mm at a low cost with high accuracy.

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