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Software applications for the digital management radiological images in the study of the corticospinal tract

Published: 24 October 2018 Publication History

Abstract

The anatomy of the nerve fibers of the central nervous system is one of the most difficult anatomical areas to study in the entire body. This is due to the fact that, until less than 20 years ago, it was necessary to dissect the brain in order to see these anatomical structures. Currently, three-dimensional images that represent the neural tracts in vivo can be obtained non-invasively through a radiological study with specific sequences of magnetic resonance and post-processing. However, ever since it was applied to the field of medicine, this sequence of magnetic resonance has been the target of criticism, because there are some limitations to tractography. One of its most important drawbacks is its interpretation: the image that is obtained and then post-processed is represented with fibers in different colors and directions. Ideally, there should be information about what those fibers correspond to, so that it can be used as training material for healthcare students. Another significant limitation is the reliability of the representation of neural tracts, because distortions in the image have been described that may be relevant, particularly in the field of neurosurgery. Our goal with this article is to describe one of the main tracts of the CNS, the corticospinal tract, also known as the pyramidal tract, and to assess interpersonal variability and carry out a detailed description of this structure in order to facilitate its interpretation for users. In addition, we will present a comparative analysis of the two software applications used to obtain three-dimensional tractographic images: a free program (3D Slicer) and a commercial program (AW Server).

References

[1]
Richard R. Snell. 2007. Neuroanatomía clínica. 6° Edición Cap 4 Pag 147--193.
[2]
Johansen-Berg H1, Behrens TE. 2006. Just pretty pictures? What diffusion tractography can add in clinical neuroscience. Curr Opin Neurol. 2006 Aug;19(4):379--85.
[3]
Lazar M. 2010. Mapping brain anatomical connectivity using white matter tractography MR Biomed. 2010 Aug;23(7):821--35.
[4]
Dauguet J1, Peled S, Berezovskii V, Delzescaux T, Warfield SK, Born R, Westin CF. 2007. Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain. Neuroimage. 2007 Aug 15;37(2):530--8. Epub 2007 May 24.
[5]
Martínez M, Giannelli A., Moguillansky S., Egea D., Clas G., Ferreyra L. 2010. Utilidad educativa y diagnóstica de la tractografía Revista Argentina de Anatomía Online 2010 (Enero -- Febrero -- Marzo), Volumen 1, Número 1, pp. 1--31.
[6]
Mukherjee P1, McKinstry RC. 2006. Diffusion tensor imaging and tractography of human brain development. Neuroimaging Clin N Am. 2006 Feb;16(1):19--43, vii.
[7]
S.Y. Matthew Goh, Andrei Irimia, Carinna M. Torgerson, Meral A. Tubi, Courtney R. Real, Daniel F. Hanley, Neil A. Martin, Paul M. Vespa, and John D. Van Horn 2015. Longitudinal quantification and visualization of intracerebral hemorrhage using multimodal magnetic resonance and diffusion tensor imaging. Brain Inj. 2015; 29(4): 438-445.
[8]
Golby A.J, Kindlmann G., Norton I., Yarmarkovich A., Pieper S., Kikinis R. 2011. Interactive Diffusion Tensor Tractography Visualization for Neurosurgical Planning. Neurosurgery. 2011 Feb; 68(2):496--505.
[9]
Jellison, B.J., Field, A.F., Medow, J., Lazar, M., Salamat, M.S., Alexander A.L. Diffusion Tensor Imaging of Cerebral White Matter: A Pictorial Review of Phisics, Fiber Tract Anatomy, and Tumor Imaging Patterns.2004. AJNR Am J Neuroradiol 25:356--369, March 2004.
[10]
Walid I. Essayed, Fan Zhang, Prashin Unadkat, G. Rees Cosgrove, Alexandra J. Golby and Lauren J. O'Donnell. 2017. White matter tractography for neurosurgical planning: A topography-based review of the current state of the art. Neuroimage Clin. 2017; 15: 659--672. Published online 2017 Jun 15.
[11]
Feigl GC, Hiergeist W, Fellner C, Schebesch KM, Doenitz C, Finkenzeller T, Brawanski A, Schlaier J. 2014. Magnetic Resonance Imaging Diffusion Tensor Tractography: Evaluation of Anatomic Accuracy of Different Fiber Tracking Software Packages. World Neurosurg. 2014 Jan;81(1):144--50. Epub 2013 Jan 4.
[12]
Andrew L. Alexander, Jee Eun Lee, Mariana Lazar and Aaron S. 2007. Diffusion Tensor Imaging of the Brain. Field. Neurotherapeutics. 2007 Jul; 4(3): 316-329.
[13]
Drs. Jaime Cisternas E, Takeshi Asahi K, Marcelo Gálvez M, Gonzalo Rojas C, Eduardo Bravo C. 2008. Desarrollo y puesta en marcha de software de tractografia. Revista Chilena de Radiología. Vol. 14 No 1, año 2008; 31--35.
[14]
Saad Jbabdi and Heidi Johansen-Berg 2011. Tractography: Where Do We Go from Here?. Brain connectivity Volume 1, Number 3, Mary Ann Liebert, Inc.
[15]
Fedorov A., Beichel R., Kalpathy-Cramer J., Finet J., Fillion-Robin J-C., Pujol S., Bauer C., Jennings D., Fennessy F., Sonka M., Buatti J., Aylward S.R., Miller J.V., Pieper S., Kikinis R. 2012. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012 Nov;30(9):1323--41. 22770690.
[16]
Sonia Pujol, Ph.D. The Diffusion Tensor Imaging Tutorial course guides through the basics of loading Diffusion Weighted images in Slicer, estimating tensors and generating fiber tracts. 3D Slicer version 4.5. Surgical Planning Laboratory Brigham and Women's Hospital Harvard Medical School. 2012. https://www.slicer.org/wiki/Documentation/4.5/Training
[17]
F. J. García-Peñalvo, 2014. Formación en la sociedad del conocimiento, un programa de doctorado con una perspectiva interdisciplinar. Education in the Knowledge Society 15, 1, 4--9.
[18]
F. J. García-Peñalvo, 2015. Engineering contributions to a Knowledge Society multicultural perspective. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje (IEEE RITA) 10, 1, 17--18.
[19]
F. J. García-Peñalvo. 2013. Education in knowledge society: A new PhD programme approach. In Proceedings of the First International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'13) (Salamanca, Spain, November 14-15, 2013), F.J. García-Peñalvo Ed. ACM, New York, NY, USA, 575--577.

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cover image ACM Other conferences
TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality
October 2018
1072 pages
ISBN:9781450365185
DOI:10.1145/3284179
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • University of Salamanca: University of Salamanca

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Association for Computing Machinery

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Publication History

Published: 24 October 2018

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Author Tags

  1. 3D imaging
  2. 3D slicer
  3. AW server
  4. Tractography
  5. active learning
  6. anatomy
  7. software programs

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TEEM'18

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TEEM'18 Paper Acceptance Rate 151 of 243 submissions, 62%;
Overall Acceptance Rate 496 of 705 submissions, 70%

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