Initial in-vivo analysis of 3D heterogeneous brain computations for model-updated image-guided neurosurgery

Abstract

Abstract. Registration error resulting from intraoperative brain shift due to applied surgical loads has long been recognized as one of the most challenging problems in the field of frameless stereotactic neurosurgery. To address this problem, we have developed a 3-dimensional finite element model of the brain and have begun to quantify its predictive capability in an in vivo porcine model. Previous studies have shown that we can predict the average total displacement within 15% and 6.6% error using intraparenchymal and temporal deformation sources, respectively, under relatively simple model assumptions. In this paper, we present preliminary results using a heterogeneous model with an expanding temporally located mass and show that we are capable of predicting an average total displacement to 5.7% under similar model initial and boundary conditions. We also demonstrate that our approach can be viewed as haw ing the capability of recapturing approximately 75% of the registration inaccuracy that may be generated by preoperative-based image-guided neurosurgery.

An atlas-based method to compensate for brain shift: Preliminary results

“…Elements and hence the corresponding nodes in the mesh lying above the assumed level of intraoperative CSF drainage are assumed to reside at atmospheric pressure, while elements lying below the CSF drainage level do not allow fluid drainage. These boundary conditions were used to validate the accuracy of the computational model in Miga et al (1998Miga et al ( , 1999. The results reported suggest that these boundary conditions compare well to those encountered in the OR.…”

“…1 and was first reported in Miga et al (1998). Although the actual boundary conditions are patient specific, the highest elevations in the brain are stress-free, the mid-elevations are permitted to move along the cranial wall, while the brain stem is fixed.…”

Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation

“…Although attractive, this solution is only possible at a few sites that have the required imaging equipment. As an alternative, others have proposed to use physical models [11,12]. Displacements measured at the surface of the brain can then be propagated through the entire volume based on these models.…”

Finite element modeling of soft tissue deformation.

“…These models were mainly used to study brain deformation ( [33][34][35][36]). Some works on the liver tissue modeling using the FEM were reviewed and reported in [37] where the low resolution images were used in prediction.…”

“…A number of studies on finite element modeling of the brain deformation in minimally invasive surgery appeared in the past five years (e.g., [17,30,33,38] This finite element modeling of the soft tissues attempted to describe the tissue responses provides attempts using biomechanical models from the simple linear elastic model to complicated models. Validation of these models is still challenging before it can be employed in clinical practice.…”