We demonstrate the first successful automatic motion correction of 3D MRI data with rigid body motion in all six degrees of freedom. An existing 2D retrospective technique is extended to 3D with a shear-based factoriz...
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Prediction of the facial outcome after maxillofacial surgery is not only of major interest for surgeons but also for patients. A mirror-like image of the expected surgical outcome gives important information for the p...
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Abstract. Fluorescence lifetime imaging creates a map of spatial differences in local lifetime. These lifetime differences can be correlated with local metabolic levels which makes this a valuable biomedical imaging m...
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In this paper an algorithm for fully automatic segmentation of the cortex from T1-weighted transversal, coronal or sagittal MRI data is presented. A histogram-based method is used to find accurate threshold values. Fo...
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This paper introduces a novel intervention planning methodology facilitating the use of a parallel manipulator (Hexapod) in a robotic skull-base surgery (.SBS.) system. This safety intensive procedure requires a cavit...
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Segmenting medical structures is mandatory in any computerassisted surgery system. This major field must be addressed in order to build realistic and accurate 3D models of patient individual anatomical *** Resonance ...
ISBN:
(纸本)3540426973
Segmenting medical structures is mandatory in any computerassisted surgery system. This major field must be addressed in order to build realistic and accurate 3D models of patient individual anatomical *** Resonance Imaging (MRI) is becoming part of daily routine in clinical work. Whereas scanning speed and slice numbers increase each year, segmenting such data is still a challenging problem. Moreover, the segmentation stage remains time limiting in pre-operative planning and intra-operative guidance. Indeed, interactive tools, like live wire or intensity-based thresholding, requires a pre or post-filtering to homogenize areas. Common medical filters, such as median or morphology-based, are actually non adapted for MR noise removal. Their main side effect is to remove boundaries when applied on Gaussian corrupted data. Next, numerous steps spend efforts in reconstructing lost information and current approaches are therefore non interactive.
This paper presents a new image-guided prostate biopsy system under development. The system features a 3-D prostate cancer distribution atlas and new biopsy protocols optimized based on the cancer atlas using a nonlin...
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We developed an automated system that registers chest CT images temporally. Our registration method matches corresponding anatomical landmarks to obtain initial registration parameters. The initial point-to-point regi...
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Segmentation methods for brain MR images typically employ manual and/or automatic knowledge-based models specific to the structure of interest (SOI). The technique presented here overcomes some of the limitations of c...
ISBN:
(纸本)3540426973
Segmentation methods for brain MR images typically employ manual and/or automatic knowledge-based models specific to the structure of interest (SOI). The technique presented here overcomes some of the limitations of current methods. It requires no manual intervention, is fast, fully 3D, and generic yet constrained by some form of prior structure information. The novelty of this work resides in its a priori Principal Components Analysis (PCA) of non-linear registration data of a volume of interest (VOI), represented by dense 3D deformation fields from ANIMAL [1]. The results are used in an Appearance Model, inspired by Cootes [2], able to segment any SOIs contained within the VOI, in the atlas-independent framework described by Collins [1]. This article presents the theoretical basis for and initial work towards hippocampus segmentation on subject images from the MNI international Consortium for Brain Mapping (ICBM) database.
We propose new hybrid methods for automated segmentation of radiological patient data and the Visible Human data. In this paper, we integrate boundary-based and region-based segmentation methods which amplifies the st...
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