In this paper we propose a two-step mutual information-based algorithm for medicalimage segmentation. In the first step, the image is structured into homogeneous regions, by maximizing the mutual information gain of ...
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ISBN:
(纸本)3540229760
In this paper we propose a two-step mutual information-based algorithm for medicalimage segmentation. In the first step, the image is structured into homogeneous regions, by maximizing the mutual information gain of the channel going from the histogram bins to the regions of the partitioned image. In the second Step, the intensity bins of the histogram are clustered by minimizing the mutual information loss of the reversed channel. Thus, the compression of the channel variables is guided by the preservation of the information on the other. An important application of this algorithm is to preprocess the images for multimodal image registration. In particular, for a low number of histogram bins, an outstanding robustness in the registration process is obtained by using as input the previously segmented images.
We present a 3D radio frequency (RF) ultrasound (US) system capable of acquiring real-time RF data at a sustained rate of 30-60 frames per second with 60 dB real dynamic range and typical phase error of only +/-2.3deg...
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ISBN:
(纸本)3540229779
We present a 3D radio frequency (RF) ultrasound (US) system capable of acquiring real-time RF data at a sustained rate of 30-60 frames per second with 60 dB real dynamic range and typical phase error of only +/-2.3degrees at 6 MHz. The software is freely available to other researchers, and opens up the possibility of extending elastography, deconvolution, spectral processing and other RF analysis into 3D.
This paper presents a method for modelling human lungs using knowledge of lung anatomy and High Resolution CT images. The model consists of a symbolic anatomical structure map and an annotated 3D atlas. The model is i...
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ISBN:
(纸本)3540229779
This paper presents a method for modelling human lungs using knowledge of lung anatomy and High Resolution CT images. The model consists of a symbolic anatomical structure map and an annotated 3D atlas. The model is implemented using Frame structures. Frames provide a good platform for the comprehensive description of anatomical features and for enabling communication between the image data and the symbolic knowledge. A few important landmarks have been determined and used to divide the lung into clinically meaningful regions, which enable accurate mapping of the model to patient data.
We present a novel statistical image-match model for use in Bayesian segmentation, a multiscale extension of image profile models akin to those in Active Shape Models. A spherical-harmonic based 3D shape representatio...
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ISBN:
(纸本)3540229760
We present a novel statistical image-match model for use in Bayesian segmentation, a multiscale extension of image profile models akin to those in Active Shape Models. A spherical-harmonic based 3D shape representation provides a mapping of the object boundary to the sphere S-2, and a scale-space for profiles on the sphere defines a scale-space on the object. A key feature is that profiles are not blurred across the object boundary, but only along the boundary. This profile scale-space is sampled in a coarse-to-fine fashion to produce features for the statistical image-match model. A framework for model-building and segmentation has been built, and testing and validation are in progress with a dataset of 70 segmented images of the caudate nucleus.
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medicalimages processing, in particular for diffusion m...
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ISBN:
(纸本)3540229760
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medicalimages processing, in particular for diffusion magnetic resonance imaging where each voxel is assigned with a function describing the average motion of water molecules. Being able to automatically extract relevant anatomical structures of the white matter, such as the corpus callosum, would dramatically improve our current knowledge of the cerebral connectivity as well as allow for their statistical analysis. Our approach relies on the use of the symmetrized Kullback-Leibler distance and on the modelization of its distribution over the subsets of interest in the volume. The variational formulation of the problem yields a level-set evolution converging toward the optimal segmentation.
We present a new method for delineating the osseous interface in ultrasound images. Automatic segmentation of the bone-soft tissues interface is achieved by mimicking the reasoning of the expert in charge of the manua...
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ISBN:
(纸本)3540229760
We present a new method for delineating the osseous interface in ultrasound images. Automatic segmentation of the bone-soft tissues interface is achieved by mimicking the reasoning of the expert in charge of the manual segmentation. Information are modeled and fused by the use of fuzzy logic and the accurate delineation is then performed by using general a priori knowledge about osseous interface and ultrasound imaging physics. Results of the automatic segmentation are compared with the manual segmentation of an expert.
The proceedings contain 157 papers from the medicalimagecomputing and computer-assistedintervention - MICCAI 2004 - 7th internationalconference Proceedings, Part II. The topics discussed include: MARGE project: de...
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The proceedings contain 157 papers from the medicalimagecomputing and computer-assistedintervention - MICCAI 2004 - 7th internationalconference Proceedings, Part II. The topics discussed include: MARGE project: design, modeling, and control of assistive devices for minimally invasive surgery;crawling on the heart: a mobile robotic device for minimally invasive cardiac interventions;development of a robotic laser surgical tool with an integrated video endoscope;micro-neurosurgical system in the deep surgical field;dense 3D depth recovery for soft tissue deformation during robotically assisted laparoscopic surgery;and robotic strain imaging for monitoring thermal ablation of liver.
A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameters. A closed 3D surface propagates from an initi...
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ISBN:
(纸本)3540229760
A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameters. A closed 3D surface propagates from an initial position towards the desired region boundaries through an iterative evolution of a specific 4D implicit function. Information about the regions is involved by estimating, at each iteration, parameters of probability density functions. The method can be applied to different kinds of data, e.g for segmenting anatomical structures in 3D magnetic resonance images and angiography. Experimental results of these two types of data are discussed.
We introduce an approach for 3D segmentation and quantification of vessels. The approach is based on a new 3D cylindrical parametric intensity model, which is directly fit to the image intensities through an increment...
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ISBN:
(纸本)3540229760
We introduce an approach for 3D segmentation and quantification of vessels. The approach is based on a new 3D cylindrical parametric intensity model, which is directly fit to the image intensities through an incremental process based on a Kalman filter. The model has been successfully applied to segment vessels from 3D MRA images. Our experiments show that the model yields superior results in estimating the vessel radius compared to approaches based on a Gaussian model. Also, we point out general limitations in estimating the radius of thin vessels.
We apply fluid model non-rigid registration of serial structural T1 weighted MR images to obtain deformation-based measurements of low-grade glioma growth. Preliminary experimental results from ten patients show that ...
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ISBN:
(纸本)3540229779
We apply fluid model non-rigid registration of serial structural T1 weighted MR images to obtain deformation-based measurements of low-grade glioma growth. Preliminary experimental results from ten patients show that measurements of tumour regions, together with visual inspection, provide insight into glioma growth characteristics.
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