Most methods used in functional MRI (fMRI) brain mapping require restrictive prior knowledge about the shape of the active bloodoxygenation- level-dependent (BOLD) response, thus leading to suboptimal or invalid infer...
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this paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts. three methods are compared, each estimating a...
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We propose a technique for automatic spinal deformity detection method from moiré topographic images. Normally the moiré stripes show a symmetric pattern, as a human body is almost symmetric. According to th...
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We propose a technique for automatic spinal deformity detection method from moiré topographic images. Normally the moiré stripes show a symmetric pattern, as a human body is almost symmetric. According to the progress of the deformity of a spine, asymmetry becomes larger. Numerical representation of the degree of asymmetry is therefore useful in evaluating the deformity. Displacement of local centroids is evaluated statistically between the left-hand side and the right-hand side regions of the moiré images with respect to the extracted middle line. the degree of the displacement learned by a neural network employing the back propagation algorithm. An experiment was performed employing 1,200 real moiré images (600 normal and 600 abnormal) and 89% of the images were classified correctly by the NN.
In this work, we present a new methodology for fully automated segmentation of prostatic adenocarcinoma from high resolution MR by using a novel feature ensemble of 3D texture features. this work represents the first ...
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In this work, we present a new methodology for fully automated segmentation of prostatic adenocarcinoma from high resolution MR by using a novel feature ensemble of 3D texture features. this work represents the first attempt to solve this difficult problem using high resolution MR. the difficulty of the problem stems from lack of shape and structure in the adenocarcinoma. Hence, in our methodology we compute statistical, gradient and Gabor alter features at multiple scales and orientations in 3D to capture the entire range of shape, size and orientation of the tumor. For an input scene, a classifier module generates Likelihood Scenes for each of the 3D texture features independently. these are then combined using a weighted feature combination scheme. the ground truth for quantitative evaluation was generated by an expert pathologist who manually segmented the tumor on the MR using registered histologic data. Our system was quantitatively compared against the performance of the individual texture features and against an expert's manual segmentation based solely on visual inspection of the 4T MR data. the automated system was found to be superior in terms of Sensitivity and Positive Predictive Value.
A robust and efficient method for the segmentation of 3D structures in CT and MR images is presented. the proposed method is based on 3D ray propagation by mean shift analysis with a smoothness constraint. Specificall...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
A robust and efficient method for the segmentation of 3D structures in CT and MR images is presented. the proposed method is based on 3D ray propagation by mean shift analysis with a smoothness constraint. Specifically, ray propagation is used to guide an evolving surface due to its computational efficiency. In addition, non-parametric analysis and shape priors are incorporated to the proposed technique for robust convergence. Several examples are depicted to illustrate its effectiveness.
A novel method to use model libraries in segmentation is introduced. Using similarity measures one model from a model library is selected. this model is then used in model-based segmentation. the proposed method is si...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
A novel method to use model libraries in segmentation is introduced. Using similarity measures one model from a model library is selected. this model is then used in model-based segmentation. the proposed method is simple, straightforward and fast. Various similarity measures, both voxel and edge measures, were examined. Two different segmentation methods were used for validating the functionality of the proposed procedure. Results show that a statistically significant improvement in segmentation accuracy was achieved in each study case.
In this paper we present an integrated image registration algorithm for segmenting the heart muscle, the myocardium (MC). A sequence of magnetic resonance (MR) images of heart are acquired after injection of a contras...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
In this paper we present an integrated image registration algorithm for segmenting the heart muscle, the myocardium (MC). A sequence of magnetic resonance (MR) images of heart are acquired after injection of a contrast agent. An analysis of the perfusion of the contrast agent into myocardium is utilized to study its viability. Such a study requires segmentation of MC in each of the images acquired which is a difficult task due to rapidly changing contrast imagethe images. In this paper we present an information theoretic registration framework which integrates two channels of information, the pixel intensities and the local gradient information, to reliably and accurately segment the myocardium. In our framework, the physician hand draws contours representing the inner (the endocardium) and the outer (the epicardium) boundaries of the myocardium. these hand drawn contours are then propagated to the other images in the sequence of images acquired to segment the MC.
this paper describes an example-based assisting approach for classifying pulmonary nodules in 3-D thoracic CT images. In this approach the internal and surrounding structures of the nodule are characterized by the dis...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
this paper describes an example-based assisting approach for classifying pulmonary nodules in 3-D thoracic CT images. In this approach the internal and surrounding structures of the nodule are characterized by the distribution pattern of CT density and 3-D curvature indexes. Each nodule is represented by means of a joint histogram using the distance value from the nodule center. When given an indeterminate nodule image, the images of lesions with known diagnoses (e.g. malignant ***) are retrieved from a 3-D nodule image database. the malignant likelihood of the indeterminate case is estimated by the difference between the representation patterns of the indeterminate case and the retrieved lesions. In the present study, we adopt the Mahalanobis distance as the difference measure and then, explore the feasibility of the classification based on patterns of similar lesion images.
A new method is presented to assist the clinician in planning a interventional procedure while the patient is already on the catheterization table. Based on several ECG-selected projections from a rotational X-ray acq...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
A new method is presented to assist the clinician in planning a interventional procedure while the patient is already on the catheterization table. Based on several ECG-selected projections from a rotational X-ray acquisition, both a volumetric cone-beam reconstruction of the coronary tree as well as a three-dimensional surface model of the vessel segment of interest are generated. the proposed method provides the clinician withthe length and diameters of the vessel segment of interest as well as with an 'optimal working view'. In this view, the gantry is positioned such that the vessel segment of interest is the least foreshortened and vessel overlap is minimized during the entire heart cycle. Examples on a phantom object and on patient data demonstrate the accuracy and feasibility of the approach.
Using 3D rotational X-ray angiography (3DRA), 3D information of the vasculature can be obtained. prior to endovascular interventions. However, during interventions, the radiologist has to rely on fluoroscopy images to...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
Using 3D rotational X-ray angiography (3DRA), 3D information of the vasculature can be obtained. prior to endovascular interventions. However, during interventions, the radiologist has to rely on fluoroscopy images to manipulate the guide wire. In order to take full advantage of the 3D information from 3DRA data during endovascular interventions, a method is presented which yields an integrated display of the position of the guide wire and vasculature in 3D. the method relies on an automated method developed by the authors that simultaneously tracks the guide wire in biplane fluoroscopy images. Based on the known geometry, the 3D guide wire position is reconstructed and visualized in the 3D coordinate system of the vasculature. the method is illustrated in an intracranial anthropomorphic vascular phantom.
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