In vivo quantification of retraction deformation modeling for updated image-guidance during neurosurgery.
about
Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgeryModeling of soft poroelastic tissue in time-harmonic MR elastography.Contrast detection in fluid-saturated media with magnetic resonance poroelastographyFunctional brain mapping and its applications to neurosurgery.Data assimilation using a gradient descent method for estimation of intraoperative brain deformationData-guide for brain deformation in surgery: comparison of linear and nonlinear modelsA numerical framework for interstitial fluid pressure imaging in poroelastic MRE.A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner.Multimodal image registration for preoperative planning and image-guided neurosurgical proceduresA fast and efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms.Brain-skull contact boundary conditions in an inverse computational deformation modelPatient-specific non-linear finite element modelling for predicting soft organ deformation in real-time: application to non-rigid neuroimage registration.Integrating Retraction Modeling Into an Atlas-Based Framework for Brain Shift Prediction.Brain retraction injury.Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features.Robust nonrigid registration to capture brain shift from intraoperative MRIIntraoperative cortico-subcortical stimulations in surgery of low-grade gliomas.Correlation of the CT Compatible Stereotaxic Craniotomy with MRI Scans of the Patients for Removing Cranial Lesions Located Eloquent Areas and Deep Sites of Brain.In Vivo Investigation of the Effectiveness of a Hyper-viscoelastic Model in Simulating Brain RetractionAn atlas-based method to compensate for brain shift: preliminary results3D XFEM-based modeling of retraction for preoperative image update.2D XFEM-based modeling of retraction and successive resections for preoperative image update.Toward a real time multi-tissue Adaptive Physics-Based Non-Rigid Registration framework for brain tumor resection.Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery.Suitability of poroelastic and viscoelastic mechanical models for high and low frequency MR elastography.Intraoperative DTI and brain mapping for surgery of neoplasm of the motor cortex and the corticospinal tract: our protocol and series in BrainSUITE.
P2860
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P2860
In vivo quantification of retraction deformation modeling for updated image-guidance during neurosurgery.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
In vivo quantification of retr ...... -guidance during neurosurgery.
@en
In vivo quantification of retr ...... -guidance during neurosurgery.
@nl
type
label
In vivo quantification of retr ...... -guidance during neurosurgery.
@en
In vivo quantification of retr ...... -guidance during neurosurgery.
@nl
prefLabel
In vivo quantification of retr ...... -guidance during neurosurgery.
@en
In vivo quantification of retr ...... -guidance during neurosurgery.
@nl
P2093
P356
P1476
In vivo quantification of retr ...... -guidance during neurosurgery.
@en
P2093
Alex Hartov
David W Roberts
Francis E Kennedy
Karen E Lunn
Keith D Paulsen
Leah A Platenik
P304
P356
10.1109/TBME.2002.800760
P50
P577
2002-08-01T00:00:00Z