Skip to main content
SpringerLink
Log in

Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury

  • Conference paper
  • First Online:
Book cover Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (BrainLes 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10154))

  • 1974 Accesses

Abstract

Traumatic brain injury (TBI) can disrupt the white matter (WM) integrity in the brain, leading to functional and cognitive disruptions that may persist for years. There is considerable heterogeneity within the patient group, which complicates group analyses. Here we present improvements to a tract identification workflow, automated multi-atlas tract extraction (autoMATE), evaluating the effects of improved registration. Use of study-specific template improved group classification accuracy over the standard workflow. The addition of a multi-modal registration that includes information from diffusion weighted imaging (DWI), T1-weighted, and Fluid-Attenuated Inversion Recovery (FLAIR) further improved classification accuracy. We also examined whether particular tracts contribute more to group classification than others. Parts of the corpus callosum contributed most, and there were unexpected asymmetries between bilateral tracts.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Parizel, P., Özsarlak, Ö., Van Goethem, J., Van Den Hauwe, L., Dillen, C., Verlooy, J., Cosyns, P., De Schepper, A.: Imaging findings in diffuse axonal injury after closed head trauma. Eur. Radiol. 8, 960–965 (1998)

    Article  Google Scholar 

  2. Ashikaga, R., Araki, Y., Ishida, O.: MRI of head injury using FLAIR. Neuroradiology 39, 239–242 (1997)

    Article  Google Scholar 

  3. Ashwal, S., Holshouser, B.A., Tong, K.A.: Use of advanced neuroimaging techniques in the evaluation of pediatric traumatic brain injury. Dev. Neurosci. 28, 309–326 (2006)

    Article  Google Scholar 

  4. Xu, J., Rasmussen, I.-A., Lagopoulos, J., Håberg, A.: Diffuse axonal injury in severe traumatic brain injury visualized using high-resolution diffusion tensor imaging. J. Neuroatraum 24, 753–765 (2007)

    Article  Google Scholar 

  5. Dennis, E.L., Jin, Y., Villalon-Reina, J., Zhan, L., Kernan, C., Babikian, T., Mink, R., Babbitt, C., Johnson, J., Giza, C.C.: White matter disruption in moderate/severe pediatric traumatic brain injury: advanced tract-based analyses. NeuroImage Clin. 7, 493–505 (2015)

    Article  Google Scholar 

  6. Dennis, E.L., Ellis, M.U., Marion, S.D., Jin, Y., Moran, L., Olsen, A., Kernan, C., Babikian, T., Mink, R., Babbitt, C., Johnson, J., Giza, C.C., Thompson, P.M., Asarnow, R.F.: Callosal function in pediatric traumatic brain injury linked to disrupted white matter integrity. J. Neurosci. 35, 10202–10211 (2015)

    Article  Google Scholar 

  7. Dennis, E.L., Rashid, F., Ellis, M.U., Babikian, T., Villalon-Reina, J.E., Jin, Y., Olsen, A., Mink, R., Babbitt, C., Johnson, J., Giza, C.C., Thompson, P.M., Asarnow, R.F.: Diverging White Matter Trajectories in Children after Traumatic Brain Injury: The RAPBI Study Neurology. In Press, New York (2016)

    Google Scholar 

  8. Dennis, E., Jin, Y., Villalon-Reina, J., Kernan, C., Babikian, T., Mink, R., Babbitt, C., Johnson, J., Giza, C., Asarnow, R.F., Thompson, P.: Tract-based analysis of white matter integrity in pediatric TBI: mapping individual abnormalities. In: Organization for Human Brain Mapping. Honolulu, HI (2015)

    Google Scholar 

  9. Jin, Y., Shi, Y., Zhan, L., de Zubicaray, G.I., McMahon, K.L., Martin, N.G., Wright, M.J., Thompson, P.M.: Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics. In: Proceedings of 10th IEEE ISBI, pp. 512–515, San Francisco, CA (2013)

    Google Scholar 

  10. Jin, Y., Shi, Y., Zhan, L., Gutman, B., de Zubicaray, G.I., McMahon, K.L., Wright, M.J., Toga, A.W., Thompson, P.M.: Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. NeuroImage 100, 75–90 (2014)

    Article  Google Scholar 

  11. Jin, Y., Shi, Y., Zhan, L., Li, J., Zubicaray, Greig, I., McMahon, Katie, L., Martin, Nicholas, G., Wright, Margaret, J., Thompson, Paul, M.: Automatic population hardi white matter tract clustering by label fusion of multiple tract atlases. In: Yap, P.-T., Liu, T., Shen, D., Westin, C.-F., Shen, L. (eds.) MBIA 2012. LNCS, vol. 7509, pp. 147–156. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33530-3_12

    Chapter  Google Scholar 

  12. Zhang, Y., Zhang, J., Oishi, K., Faria, A.V., Jiang, H., Li, X., Akhter, K., Rosa-Neto, P., Pike, G.B., Evans, A., Toga, A.W., Woods, R., Mazziotta, J.C., Miller, M.I., van Zijl, P.C.M., Mori, S.: Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy. NeuroImage 52, 1289–1301 (2010)

    Article  Google Scholar 

  13. Catani, M., Allin, M.P., Husain, M., Pugliese, L., Mesulam, M.M., Murray, R.M., Jones, D.K.: Symmetries in human brain language pathways correlate with verbal recall. Proc. Natl. Acad. Sci. 104, 17163–17168 (2007)

    Article  Google Scholar 

  14. Avants, B.B., Tustison, N.J., Song, G., Cook, P.A., Klein, A., Gee, J.C.: A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage 54, 2033–2044 (2011)

    Article  Google Scholar 

  15. Kim, J., Avants, B., Patel, S., Whyte, J., Coslett, B.H., Pluta, J., Detre, J.A., Gee, J.C.: Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry study. NeuroImage 39, 1014–1026 (2008)

    Article  Google Scholar 

  16. Jin, Y., Shi, Y., Jahanshad, N., Aganj, I., Sapiro, G., Toga, A.W., Thompson, P.M.: 3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering. In: 8th Proceedings of IEEE International Symposium on Biomed Imaging, Chicago, IL, pp. 822–826. IEEE (2011)

    Google Scholar 

  17. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20, 273–297 (1995)

    MATH  Google Scholar 

  18. Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: IJCAI, pp. 1137–1145 (1995)

    Google Scholar 

  19. Weiss, N., Galanaud, D., Carpentier, A., Naccache, L., Puybasset, L.: Clinical review: prognostic value of magnetic resonance imaging in acute brain injury and coma. Crit. Care 11, 230 (2007)

    Article  Google Scholar 

  20. Irimia, A., Wang, B., Aylward, S.R., Prastawa, M.W., Pace, D.F., Gerig, G., Hovda, D.A., Kikinis, R., Vespa, P.M., Van Horn, J.D.: Neuroimaging of structural pathology and connectomics in traumatic brain injury: toward personalized outcome prediction. Neuroimage Clin. 1, 1–17 (2012)

    Article  Google Scholar 

  21. Wang, B., Prastawa, M., Irimia, A., Chambers, M.C., Sadeghi, N., Vespa, P.M., Van Horn, J.D., Gerig, G.: Analyzing imaging biomarkers for traumatic brain injury using 4D modeling of longitudinal MRI. In: 2013 IEEE 10th International Symposium on Biomedical Imaging, pp. 1392–1395 (2013)

    Google Scholar 

  22. Wang, B., Liu, W., Prastawa, M., Irimia, A., Vespa, P.M., van Horn, J.D., Fletcher, P.T. and Gerig, G.: 4D active cut: an interactive tool for pathological anatomy modeling. In: Proceedings/IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 529–532 (2014)

    Google Scholar 

  23. Hulkower, M.B., Poliak, D.B., Rosenbaum, S.B., Zimmerman, M.E., Lipton, M.L.: A decade of DTI in traumatic brain injury: 10 years and 100 articles later. AJNR. Am. J. Neuroradiol. 34(11), 2064–2074 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by the NICHDS (R01 HD061504). ELD is supported by a grant from the NINDS (K99 NS096116). ELD, FR, JV, GP, JF and PT are also supported by NIH grants to PT: U54 EB020403, R01 EB008432, R01 AG040060, and R01 NS080655. CCG is supported by the UCLA BIRC, NS027544, NS05489, Child Neurology Foundation, and the Jonathan Drown Foundation. Scanning was supported by the Staglin IMHRO Center for Cognitive Neuroscience. We gratefully acknowledge the contributions of Alma Martinez and Alma Ramirez in assisting with recruitment and study coordination. Finally, the authors thank the participants and their families for contributing their time.

Author information

Authors and Affiliations

  1. Imaging Genetics Center, Keck USC School of Medicine, Marina del Rey, California, USA

    Emily L. Dennis, Faisal Rashid, Julio Villalon-Reina, Gautam Prasad, Joshua Faskowitz & Paul M. Thompson

  2. Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California, USA

    Talin Babikian, Robert F. Asarnow & Paul M. Thompson

  3. Department of Pediatrics, Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute, Torrance, California, USA

    Richard Mink

  4. Miller Children’s Hospital, Long Beach, California, USA

    Christopher Babbitt

  5. Department of Pediatrics, LAC+USC Medical Center, Los Angeles, California, USA

    Jeffrey Johnson

  6. Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center, Mattel Children’s Hospital, Los Angeles, California, USA

    Christopher C. Giza

  7. Department of Psychology, UCLA, Los Angeles, California, USA

    Robert F. Asarnow

  8. Brain Research Institute, UCLA, Los Angeles, California, USA

    Robert F. Asarnow

  9. Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, USA

    Paul M. Thompson

Authors
  1. Emily L. Dennis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Faisal Rashid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Julio Villalon-Reina
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gautam Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Joshua Faskowitz
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Talin Babikian
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Richard Mink
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Christopher Babbitt
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Jeffrey Johnson
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Christopher C. Giza
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Robert F. Asarnow
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Paul M. Thompson
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emily L. Dennis .

Editor information

Editors and Affiliations

  1. University of Zurich, Istituto Italiano di Tecnologia, Genoa, Italy

    Alessandro Crimi

  2. TU München, Computer Science, Munich, Germany

    Bjoern Menze

  3. Medical Informatics, University of Lübeck, Lübeck, Germany

    Oskar Maier

  4. Surgical Technology and Biomechanics, Universität Bern, Bern, Switzerland

    Mauricio Reyes

  5. Department of Medicine, University of Cambridge, Cambridge, United Kingdom

    Stefan Winzeck

  6. Institute of Medical Informatics, University of Lübeck, Lübeck, Germany

    Heinz Handels

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Dennis, E.L. et al. (2016). Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury. In: Crimi, A., Menze, B., Maier, O., Reyes, M., Winzeck, S., Handels, H. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2016. Lecture Notes in Computer Science(), vol 10154. Springer, Cham. https://doi.org/10.1007/978-3-319-55524-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-55524-9_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55523-2

  • Online ISBN: 978-3-319-55524-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation