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Brief Report

Finite element analysis of an elastic model of the brain: Distortion due to acute epidural hematoma–the role of the intra-ventricular pressure gradient

, M.D., M.P.H., &
Pages 131-136 | Received 23 Jul 2005, Accepted 22 Mar 2006, Published online: 06 Jan 2010

Figures & data

Figure 1. Patient's CT scan with left parietal epidural hematoma. Note the midline shift; the imaging is otherwise normal.

Figure 1. Patient's CT scan with left parietal epidural hematoma. Note the midline shift; the imaging is otherwise normal.

Figure 2. Biomechanical modeling of the CT data after meshing and applying boundary conditions in ANSYS 8.0. Note the refinement in the vicinity of the load.

Figure 2. Biomechanical modeling of the CT data after meshing and applying boundary conditions in ANSYS 8.0. Note the refinement in the vicinity of the load.

Figure 3. Displacement field of modeled brain after loading the displacements of the hematoma with intra-ventricular pressure of 1.25 kPa in ANSYS 8.0.

Figure 3. Displacement field of modeled brain after loading the displacements of the hematoma with intra-ventricular pressure of 1.25 kPa in ANSYS 8.0.

Figure 4. Nodal solution of the modeled brain with p = 1.25 kPa in ANSYS 8.0.

Figure 4. Nodal solution of the modeled brain with p = 1.25 kPa in ANSYS 8.0.

Table I.  The difference (d) between displacement of reference points on the modeled brain and the patient's left ventricle with different pressure gradients (P = intra-ventricular pressure in kPa; D = displacement).

Table II.  The difference (d) between displacement of reference points on the modeled brain and the patient's right ventricle with different pressure gradients (P = intra-ventricular pressure in kPa; D = displacement).

Table III.  The mean square value of differences in the displacements of reference points of the modeled ventricle and the patient's ventricles with different pressure gradients (P = intra-ventricular pressure in kPa).

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