Structural MR brain imaging is important in the understanding of regional brain changes in healthy aging and in disease processes. Current methods are often labour-intensive, requiring hours of manual tracing. SABRE (...
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ISBN:
(纸本)3540204644
Structural MR brain imaging is important in the understanding of regional brain changes in healthy aging and in disease processes. Current methods are often labour-intensive, requiring hours of manual tracing. SABRE (Semi-automatic Brain Region Extraction) is a new technique that allows rapid and reliable parcellation of cortical and subcortical brain regions. Utilization of SABRE in conjunction with a validated tissue-compartment segmentation program [1] can provide measures of gray matter, white matter, ventricular CSF, and sulcal CSF measures for designated brain regions. We present data showing high inter-rater reliably for all regions, with correlations between 0.95 - 0.99. Regional tissue measures of healthy young and healthy older adults were also examined, demonstrating the sensitivity of this protocol to brain volume changes that occur with aging.
Joint gap balancing during total knee arthroplasty has been an empirical undertaking to date. Ligament tensioning devices exist to aid soft tissue management, however quantifying tension remains problematic. The purpo...
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ISBN:
(纸本)3540204628
Joint gap balancing during total knee arthroplasty has been an empirical undertaking to date. Ligament tensioning devices exist to aid soft tissue management, however quantifying tension remains problematic. The purpose of this study was to validate modifications made to a current balancing system, allowing for quantification of joint load using a computer-assisted technique. An additional goal was to determine if the tool would improve joint gap management and consequently load balance in an in-vitro model. The load sensing capability of the tool was validated under known loading conditions. Intraoperative use of the tool relative to current techniques was evaluated in a preliminary in-vitro study using cadaveric knees. There was a trend towards improved joint gap management when using the tensioning device, but this did not translate into a more balanced joint in our knee simulator.
Electromagnetic trackers are greatly affected by magnetic field distortion resulting from metal objects and electronic equipment in close proximity. In this paper, we propose a rapid method for magnetic tracker calibr...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
Electromagnetic trackers are greatly affected by magnetic field distortion resulting from metal objects and electronic equipment in close proximity. In this paper, we propose a rapid method for magnetic tracker calibration using a magneto-optic hybrid tracker. Although the calibration data can be acquired by freehand using the hybrid tracker, two problems arise as a result of freehand acquisition. One is the error caused by the time delay between the measurements of optical and magnetic trackers. The other is the inconsistency of calibration accuracy resulting from variations on uniformity and density of the freehand acquisition of calibration data. To overcome the problem of error, we developed a temporal calibration procedure to estimate the time delay and apply it accordingly. For the problem of inconsistent calibration accuracy, we formulated a distortion model selection method using a cross-validation technique with five distortion models obtained by 0-th to 4-th degree polynomial fitting to the calibration data. We experimentally evaluated the method in a setting affected by an actual operating table. By combining the temporal calibration and model selection methods, the error caused by the magnetic distortion was reduced from around 40 mm to less than 2 mm, and 30 seconds were needed to obtain the calibration data for a 200 x 200 x 20 mm(3) volume.
ImLib3D is a C++ library for 3D medicalimage processing research. It provides a carefully designed, object-oriented, standards conforming C++ library, as well as a separate visualization system. Focus has been put on...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)9783540204640
ImLib3D is a C++ library for 3D medicalimage processing research. It provides a carefully designed, object-oriented, standards conforming C++ library, as well as a separate visualization system. Focus has been put on simplicity for the researcher who is considered to be the end-user. Source code is freely available and has been placed in an open collaborative development environment.
Accuracy of a novel fluoroscopy-based method of assessing patellar tracking was determined by comparing the pattern of patellar motion with respect to orientation (flexion, internal rotation, and lateral tilt) and tra...
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ISBN:
(纸本)3540204628
Accuracy of a novel fluoroscopy-based method of assessing patellar tracking was determined by comparing the pattern of patellar motion with respect to orientation (flexion, internal rotation, and lateral tilt) and translation (lateral, proximal, and anterior) with the pattern of patellar motion measured using Roentgen Stereophotogram-metric Analysis (RSA) in one cadaver knee specimen. Each pose in the patellar motion could be obtained from a single as well as multiple calibrated fluoroscopic images. The mean error (SD) varies from 0.73 (0.44) to 1.60 (0.48) degrees for patellar orientation and from 0.48 (0.37) to 1.20 (0.57) mm. for patellar translation. These errors appear to be sufficiently low to identify clinically significant differences in patellar kinematics.
A novel. fully automatic, adaptive, robust procedure for brain tissue classification from 3D magnetic resonance head images (MRI) is described in this paper. The procedure is adaptive in that it customizes a training ...
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A novel. fully automatic, adaptive, robust procedure for brain tissue classification from 3D magnetic resonance head images (MRI) is described in this paper. The procedure is adaptive in that it customizes a training set, by using a 'pruning' strategy, such that the classification is robust against anatomical variability and pathology. Starting from a set of samples generated from prior tissue probability maps (a 'model') in a standard, brain-based coordinate system ('stereotaxic space'), the method first reduces the fraction of incorrectly labeled samples in this set by using a minimum spanning tree graph-theoretic approach. Then, the corrected set of samples is used by a supervised kNN classifier for classifying the entire 3D image. The classification procedure is robust against variability in the image quality through a non-parametric implementation: no assumptions are made about the tissue intensity distributions. The performance of this brain tissue classification procedure is demonstrated through quantitative and qualitative validation experiments on both simulated MRI data (10 subjects) and real MRI data (43 subjects). A significant improvement in output quality was observed on subjects who exhibit morphological deviations from the model due to aging and pathology. (C) 2003 Elsevier B.V. All rights reserved.
This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil inhomogeneity and biology, and tissue property ...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil inhomogeneity and biology, and tissue property changes due to the early myelination and axon pruning processes require a methodology that combines the strength of spatial priors (template atlas), data modelling, and prior knowledge about brain development. We use an EM-type algorithm that includes tissue classification, inhomogeneity correction and brain stripping into an iterative optimization scheme using a mixture distribution model. A statistical brain atlas registered to the subject image serves as a spatial prior. White matter in neonates is modeled as a mixture model of non-myelinated and myelinated regions. A pilot study on 10 neonates demonstrates the feasibility of high-resolution neonatal MRI and of automatic tissue segmentation. Results demonstrate that interleaved segmentation and inhomogeneity correction, guided by a statistical spatial prior, will provide a powerful and efficient segmentation framework for this type of imaging data. It is demonstrated that the mixture model for white matter allows us to segment early myelination regions of the projection tract up to the motor cortex, while also providing Don-myelinated white, gray and csf segmentation. The early myelination regions are hypothesized to develop early but have not yet been shown in quantitative MRI studies.
The three-dimensional ultrasound imaging, which helps in the visualization of tools during surgical procedures was investigated. The images were acquired with a real-time three-dimensional ultrasound system. The techn...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)9783540204640
The three-dimensional ultrasound imaging, which helps in the visualization of tools during surgical procedures was investigated. The images were acquired with a real-time three-dimensional ultrasound system. The technique was verified by overlaying the three-dimensional ultrasound images with a geometric representation of the cylinder at the calculated position and orientation. The results show that the overlay enhances the image by filling the missing structures.
Helical tomotherapy, a new approach for Intensity Modulated Radiation Therapy, employs a fan-beam of radiation from a source mounted in a CT-like ring gantry. Complex conformal dose delivery is achieved by modulating ...
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In the context of MR imaging, explicit segmentation followed by stereologic volumetry of the hippocampus (HC) has been the standard approach toward temporal lobe epilepsy (TLE) lateralization of the seizure focus. The...
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ISBN:
(纸本)3540204628
In the context of MR imaging, explicit segmentation followed by stereologic volumetry of the hippocampus (HC) has been the standard approach toward temporal lobe epilepsy (TLE) lateralization of the seizure focus. The novelty of the method presented here resides in its analysis of characteristics of large, non-specific Volumes of Interest from T1 MRI data aiming to lateralize the seizure focus in patients with TLE without segmentation. For this purpose, Principal Components Analysis (PCA) of two image features are united to create a multi-dimensional space representative of a training set population composed of 150 normal subjects. The feature instances consist of grey-level intensity and an approximation of the Jacobian matrix of non-linear registration-derived dense deformation fields. New data for TLE subjects are projected in this space, under the assumption that the distributions of the projections of normal and patients are not identical and can be used for lateralization. Results are presented following PCA modeling of the left medial temporal lobe only for all subjects. It is shown that linear discriminant analysis of the eigencoordinates can be used to lateralize the seizure focus in TLE patients with a 75% accuracy. It is expected that adding a right temporal lobe model will improve lateralization results beyond those of HC volumetry.
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