title: Model-based estimation of ventricular deformation in the cat brain.
abstract: The estimation of ventricular deformation has important clinical implications related to neuro-structural disorders such as hydrocephalus. In this paper, a poroelastic model was used to represent deformation effects resulting from the ventricular system and was studied in 5 feline experiments. Chronic or acute hydrocephalus was induced by injection of kaolin into the cisterna magna or saline into the ventricles; a catheter was then inserted in the lateral ventricle to drain the fluid out of the brain. The measured displacement data which was extracted from pre-drainage and post-drainage MR images were incorporated into the model through the Adjoint Equations Method. The results indicate that the computational model of the brain and ventricular system captured 33% of the ventricle deformation on average and the model-predicted intraventricular pressure was accurate to 90% of the recorded value during the chronic hydrocephalus experiments.
authors.affiliation: Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
authors.forename: Fenghong
authors.initials: F
authors.lastname: Liu
authors.forename: S Scott
authors.initials: SS
authors.lastname: Lollis
authors.forename: Songbai
authors.initials: S
authors.lastname: Ji
authors.forename: Keith D
authors.initials: KD
authors.lastname: Paulsen
authors.forename: Alexander
authors.initials: A
authors.lastname: Hartov
authors.forename: David W
authors.initials: DW
authors.lastname: Roberts
mesh_terms: D000818:Animals; D002415:Cats; D002552:Cerebral Ventricles / Q000473:pathology* / Q000503:physiopathology*; D003198:Computer Simulation; D055119:Elastic Modulus; D054459:Elasticity Imaging Techniques / Q000379:methods*; D006849:Hydrocephalus / Q000473:pathology* / Q000503:physiopathology*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008959:Models, Neurological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity