An Optimised Linear Mechanical Model for Estimating Brain Shift Caused by Meningioma Tumours

Yousefi, Hossein

doi:10.11648/j.ijbse.20130101.11

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…The opening of the skull and dura mater, loss of cerebrospinal fluid, reduction of intracranial pressure and placement of surgical devices during neurosurgery contribute to intraoperative cerebral deformation [30]. The surface of the brain can deform up to 20 mm after the skull is opened; also, resection of large lesions can increase the deformation of brain structures, even up to 50 mm [31]. Despite all the advances made over recent decades in the field of cerebral imaging, brain shift still causes a significant decrease in the accuracy of the commercially available neuronavigation systems that record the preoperative images to carry out intraoperative location of tumors or other lesions [32].…”

Section: Neurosurgerymentioning

confidence: 99%

Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

Correa-Arana

Vivas-Albán

Navarro

2017

TecnoL.

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This paper presents a review about neurosurgery, robotic assistants in this type of procedure, and the approach to the problem of brain tissue displacement, including techniques for obtaining medical images. It is especially focused on the phenomenon of brain displacement, commonly known as brain shift, which causes a loss of reference between the preoperative images and the volumes to be treated during image-guided surgery. Hypothetically, with brain shift prediction and correction for the neuronavigation system, minimal invasion trajectories could be planned and shortened. This would reduce damage to functional tissues and possibly lower the morbidity and mortality in delicate and demanding medical procedures such as the removal of a brain tumor. This paper also mentions other issues associated with neurosurgery and shows the way robotized systems have helped solve these problems. Finally, it highlights the future perspectives of neurosurgery, a branch of medicine that seeks to treat the ailments of the main organ of the human body from the perspective of many disciplines.

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Section: Neurosurgerymentioning

confidence: 99%

Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

Correa-Arana

Vivas-Albán

Navarro

2017

TecnoL.

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“…Linear registration is not sufficient to cope with local deformation produced by respiration [9]. Non-linear and non-rigid registration methods remain necessary to compensate and avoid for the vast cardiac and respiratory motions.…”

Section: Introductionmentioning

confidence: 99%

CT and PET Image Registration: Application to Thorax Area

Khodadad

Ahmadian

Yousefi-Banaem³

et al. 2014

JOIG

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Abstract-Accurate attenuation correction of emission data is mandatory for quantitative analysis of PET images. One of the main concerns in CT-based attenuation correction (CTAC) of PET data in multimodality PET/CT imaging is misalignment occurred due to respiratory artifact between PET and CT images. In this paper a combined method which is simple and fast is proposed for registration of PET and CT data to correct the effect of this artifact. The algorithm is composed of two step: First step is meant to reduce the noise by applying an adaptive gradient anistropic diffusion filter then using Iterative closest point (ICP) registration method in order to obtain initial estimation to ensure fast and accurate convergence of the algorithm. At the second step, the respiratory related artifact of PET images is greatly reduced by employing Free Form Deformation algorithm based on B-spline which provides more accurate adaptive transformation to align the images.

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“…In addition, sliding contacts are modeled between the brain and skull. More specically, the growing of a meningioma is studied byYouse et al (2013). This king of tumor is located in the meninges and brain tissues are compressed from the cortical surface when it grows.…”

mentioning

confidence: 99%

Biomechanical Modeling of Brain Soft Tissues for Medical Applications

Morin¹,

Chabanas²,

Courtecuisse³

2017

Biomechanics of Living Organs

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For more than 60 years, many works have focused on the determination of the brain biomechanical properties. While the highly non linear behavior of the organ as well as the very low soft tissues stiness are stressed out, no consensus is universally accepted. Variations in the reported constitutive laws and parameters may be due to the diversity of the experimental protocols and to patient peculiarities. In addition to these rheological properties, boundary conditions are at least as important. Especially, a low sensitivity of the model to these properties is observed when loads are imposed through displacements. For this reason and/or due to the small displacements observed and execution time requirements, most nite element brain models are simulated based on linear elastic law. Nevertheless, models with various boundary conditions have been proposed in the literature, being carefully designed for specic medical applications. A survey about brain soft tissues biomechanical modeling is presented in this paper. The main works are then presented before describing a new vessel-based brain-shift compensation model using intra-operative Doppler ultrasound imaging. Keywords Brain • Finite element modeling • Biomechanical properties • Constitutive laws • Boundary conditions • Medical simulation.

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An Optimised Linear Mechanical Model for Estimating Brain Shift Caused by Meningioma Tumours

Cited by 10 publications

References 19 publications

Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

CT and PET Image Registration: Application to Thorax Area

Biomechanical Modeling of Brain Soft Tissues for Medical Applications

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