A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images

详细信息    查看全文

• 作者：Juliane Dinse ; Miriam Waehnert ; Christine Lucas Tardif ; Andreas Sch?fer ; Stefan Geyer
• 关键词：myeloarchitecture ; cytoarchitetcure ; ultra ; high resolution MRI ; cortical parcellation
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：8150
• 期：1
• 页码：59-66
• 全文大小：1262KB
• 参考文献：1. Brodmann, K.: Vergleichende Lokalisationslehre der Gro?hirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues. JA Barth, Leipzig (1909)
  2. Economo, C., Koskinas, G.N.: Die Cytoarchitektonik der Hirnrinde des Erwachsenen Menschen. Wien und Berlin (1925)
  3. Vogt, C., Vogt, O.: Allgemeinere Ergebnisse unserer Hirnforschung. Erste Mitteilung. Ziele und Wege unserer Hirnforschung. J. Psychol. Neurol.?25 (1919)
  4. Nieuwenhuys, R.: The myeloarchitectonic studies on the human cerebral cortex of the Vogt–Vogt school, and their significance for the interpretation of functional neuroimaging data. Brain. Struct. Funct.?218, 303-52 (2013) CrossRef
  5. Hellwig, B.: How the myelin picture of the human cerebral cortex can be computed from cytoarchitectural data. A bridge between von Economo and Vogt. J. Hirnforsch.?34, 387-02 (1993)
  6. Wald, L., Fischl, B., Rosen, B.: High-Resolution and Microscopic Imaging at High Field. In: Ultra High Field Magnetic Resonance Imaging, pp. 343-71. Springer, New York (2006) CrossRef
  7. Geyer, S., Weiss, M., Reimann, K., Lohmann, G., Turner, R.: Microstructural Parcellation of the Human Cerebral Cortex–From Brodmann’s Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance Imaging. Front. Hum. Neurosci.?5 (2011)
  8. Glasser, M.F., Van Essen, D.C.: Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1-and T2-Weighted MRI. J. Neurosci.?31, 11597 (2011) CrossRef
  9. Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B.T., Mohlberg, H., Amunts, K., Zilles, K.: Cortical Folding Patterns and Predicting Cytoarchitecture. Cereb. Cortex.?18, 1973-980 (2008) CrossRef
  10. Paldino, A.M.: A computerized study of axonal structure in the visual cortex. Syracuse University (1975)
  11. Rooney, W.D., Johnson, G., Li, X., Cohen, E.R., Kim, S.G., Ugurbil, K., Springer, C.S.: Magnetic field and tissue dependencies of human brain longitudinal ¹H₂O relaxation in vivo. Magn. Reson. Med.?57, 308-18 (2007) CrossRef
  12. Marques, J.P., Kober, T., Krueger, G., van der Zwaag, W., Van de Moortele, P.F., Gruetter, R.: MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. NeuroImage?49, 1271-281 (2010) CrossRef
  13. Hurley, A.C., Al-Radaideh, A., Bai, L., Aickelin, U., Coxon, R., Glover, P., Gowland, P.A.: Tailored RF pulse for magnetization inversion at ultra-high field. Magn. Reson. Med.?63, 51-8 (2010)
  14. Han, X., Pham, D.L., Tosun, D., Rettmann, M.E., Xu, C., Prince, J.L.: CRUISE: Cortical reconstruction using implicit surface evolution. NeuroImage?23, 997-012 (2004) CrossRef
  15. Bok, S.T.: Der Einflu? der in den Furchen und Windungen auftretenden Krümmungen der Gro?hirnrinde auf die Rindenarchitektur. Arch. Neurol. Psychiatr.?121, 682-50 (1929)
  16. Geyer, S., Schleicher, A., Zilles, K.: Areas 3a, 3b, and 1 of human primary somatosensory cortex: 1. Microstructural Organization and Interindividual Variability. NeuroImage?10, 63-3 (1999) CrossRef
  
• 作者单位：Juliane Dinse (21) (22)
  Miriam Waehnert (21)
  Christine Lucas Tardif (21)
  Andreas Sch?fer (21)
  Stefan Geyer (21)
  Robert Turner (21)
  Pierre-Louis Bazin (21)
  
  21. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
  22. Faculty of Computer Science, Otto-von-Guericke University, Magdeburg, Germany
  
• ISSN：1611-3349

文摘

A conclusive mapping of myeloarchitecture (myelin patterns) onto the cortical sheet and, thus, a corresponding mapping to cytoarchitecture (cell configuration) does not exist today. In this paper we present a generative model which can predict, on the basis of known cytoarchitecture, myeloarchitecture in different primary and non-primary cortical areas, resulting in simulated in-vivo quantitative T1 maps. The predicted patterns can be used in brain parcellation. Our model is validated using a similarity distance metric which enables quantitative comparison of the results with empirical data measured using MRI. The work presented may provide new perspectives for this line of research, both in imaging and in modelling the relationship with myelo- and cytoarchitecture, thus leading the way towards in-vivo histology using MRI.