Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage

Johannes Boltze, Fabienne Ferrara, Atticus H. Hainsworth, Leslie R. Bridges, Marietta Zille, Donald Lobsien, Henryk Barthel, Damian D. McLeod, Felix Graesser, Soeren Pietsch, Ann-Kathrin Schatzl, Antje Y. Dreyer, Bjorn Nitzsche*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)2521-2535
Number of pages15
JournalJournal of Cerebral Blood Flow and Metabolism
Volume39
Issue number12
DOIs
Publication statusPublished - Dec 2019

Keywords

  • Brain
  • hemorrhage
  • segmentation
  • perfusion
  • large animal
  • SUBARACHNOID HEMORRHAGE
  • PERIHEMATOMAL EDEMA
  • SYSTEMATIC ANALYSIS
  • CEREBRAL PERFUSION
  • HEMATOMA VOLUME
  • GLOBAL BURDEN
  • DISEASE
  • INJURY
  • PRESSURE
  • OUTCOMES

Cite this

Boltze, J., Ferrara, F., Hainsworth, A. H., Bridges, L. R., Zille, M., Lobsien, D., Barthel, H., McLeod, D. D., Graesser, F., Pietsch, S., Schatzl, A-K., Dreyer, A. Y., & Nitzsche, B. (2019). Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage. Journal of Cerebral Blood Flow and Metabolism, 39(12), 2521-2535. https://doi.org/10.1177/0271678X18802119