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Capturing intraoperative deformations: research experience at Brigham and Women's Hospital
SK Warfield, SJ Haker, IF Talos, CA Kemper… - Medical image …, 2005 - Elsevier
During neurosurgical procedures the objective of the neurosurgeon is to achieve the
resection of as much diseased tissue as possible while achieving the preservation of healthy …
resection of as much diseased tissue as possible while achieving the preservation of healthy …
Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery
Objective: The usefulness of neurosurgical navigation with current visualizations is seriously
compromised by brain shift, which inevitably occurs during the course of the operation …
compromised by brain shift, which inevitably occurs during the course of the operation …
Spatial normalization of diffusion tensor MRI using multiple channels
Diffusion Tensor MRI (DT-MRI) can provide important in vivo information for the detection of
brain abnormalities in diseases characterized by compromised neural connectivity. To …
brain abnormalities in diseases characterized by compromised neural connectivity. To …
Non-rigid multi-modal image registration using cross-cumulative residual entropy
In this paper we present a new approach for the non-rigid registration of multi-modality
images. Our approach is based on an information theoretic measure called the cumulative …
images. Our approach is based on an information theoretic measure called the cumulative …
A unified framework for clustering and quantitative analysis of white matter fiber tracts
We present a novel approach for joint clustering and point-by-point map** of white matter
fiber pathways. Knowledge of the point correspondence along the fiber pathways is not only …
fiber pathways. Knowledge of the point correspondence along the fiber pathways is not only …
Nonrigid registration of 3D tensor medical data
New medical imaging modalities offering multi-valued data, such as phase contrast MRA
and diffusion tensor MRI, require general representations for the development of automated …
and diffusion tensor MRI, require general representations for the development of automated …
Nonrigid coregistration of diffusion tensor images using a viscous fluid model and mutual information
In this paper, a nonrigid coregistration algorithm based on a viscous fluid model is proposed
that has been optimized for diffusion tensor images (DTI), in which image correspondence is …
that has been optimized for diffusion tensor images (DTI), in which image correspondence is …
A hybrid approach to automatic clustering of white matter fibers
Recently, the tract-based white matter (WM) fiber analysis has been recognized as an
effective framework to study the diffusion tensor imaging (DTI) data of human brain. This …
effective framework to study the diffusion tensor imaging (DTI) data of human brain. This …
Deformable registration of DT-MRI data based on transformation invariant tensor characteristics
A Guimond, CRG Guttmann… - Proceedings IEEE …, 2002 - ieeexplore.ieee.org
Conventional deformable registration methods are mostly driven by the interface between
different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging …
different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging …
Multiscale white matter fiber tract coregistration: A new feature‐based approach to align diffusion tensor data
In this paper an automatic multiscale feature‐based rigid‐body coregistration technique for
diffusion tensor imaging (DTI) based on the local curvature κ and torsion τ of the white matter …
diffusion tensor imaging (DTI) based on the local curvature κ and torsion τ of the white matter …