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A non-linear diffeomorphic framework for prostate multimodal registration

A non-linear diffeomorphic framework for prostate multimodal...

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2011 International Conference on Digital image Computing: Techniques and Applications, DICTA 2011

作者： Mitra, Jhimli Kato, Zoltan Martí, Robert Oliver, Arnau Lladó, Xavier Ghose, Soumya Vilanova, Joan C. Meriaudeau, Fabrice Le2i-UMR CNRS 5158 Université de Bourgogne Le Creusot France Computer Vision and Robotics Group Universitat de Girona Girona Spain Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary Girona Magnetic Resonance Center Girona Spain

ISBN: (纸本)9780769545882

This paper presents a novel method for non-rigid registration of prostate multimodal images based on a nonlinear framework. The parametric estimation of the non-linear diffeomorphism between the 2D fixed and moving images has its basis in solving a set of non-linear equations of thin-plate splines. The regularized bending energy of the thin-plate splines along with the localization error of established correspondences is jointly minimized with the fixed and transformed image difference, where, the transformed image is represented by the set of non-linear equations defined over the moving image. The traditional thin-plate splines with established correspondences may provide good registration of the anatomical targets inside the prostate but may fail to provide improved contour registration. On the contrary, the proposed framework maintains the accuracy of registration in terms of overlap due to the non-linear thinplate spline functions while also producing smooth deformations of the anatomical structures inside the prostate as a result of established corrspondences. The registration accuracies of the proposed method are evaluated in 20 pairs of prostate midgland ultrasound and magnetic resonance images in terms of Dice similarity coefficient with an average of 0.982 ± 0.004, average 95% Hausdorff distance of 1.54 ± 0.46 mm and mean target registration and target localization errors of 1.90±1.27 mm and 0.15 ± 0.12 mm respectively. © 2011 IEEE.

关键词： Ultrasonics

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A Non-Linear Diffeomorphic Framework for Prostate Multimodal Registration

A Non-Linear Diffeomorphic Framework for Prostate Multimodal...

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Jhimli Mitra Zoltan Kato Robert Marti Arnau Oliver Xavier Llado Soumya Ghose Joan C. Vilanova Fabrice Meriaudeau Computer Vision and Robotics Group Universitat de Girona Girona Spain Le2i-UMR CNRS 5158 Université de Bourgogne Le Creusot France Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary Girona Magnetic Resonance Center Girona Spain

This paper presents a novel method for non-rigid registration of prostate multimodal images based on a nonlinear framework. The parametric estimation of the non-linear diffeomorphism between the 2D fixed and moving images has its basis in solving a set of non-linear equations of thin-plate splines. The regularized bending energy of the thin-plate splines along with the localization error of established correspondences is jointly minimized with the fixed and transformed image difference, where, the transformed image is represented by the set of non-linear equations defined over the moving image. The traditional thin-plate splines with established correspondences may provide good registration of the anatomical targets inside the prostate but may fail to provide improved contour registration. On the contrary, the proposed framework maintains the accuracy of registration in terms of overlap due to the non-linear thin-plate spline functions while also producing smooth deformations of the anatomical structures inside the prostate as a result of established corrspondences. The registration accuracies of the proposed method are evaluated in 20 pairs of prostate mid-gland ultrasound and magnetic resonance images in terms of Dice similarity coefficient with an average of 0.982 ± 0.004, average 95% Hausdorff distance of 1.54 ± 0.46 mm and mean target registration and target localization errors of 1.90±1.27 mm and 0.15 ± 0.12 mm respectively.

关键词： Biopsy Magnetic resonance imaging Equations Spline Glands High definition video Accuracy

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Edge direction dispersion and its application in automatic suitable-matching area selection

Edge direction dispersion and its application in automatic s...

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Chinese Control and Decision Conference

作者： Qing-Hai, Ding Xin-Rong, Yu Hai-Bo, Luo Hong-Mei, Liu Research Institute of General Development and Demonstration of Equipment Equipment of Air Force Bejing 100076 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School Chinese Academy of Sciences Beijing 100039 China Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Science Shenyang 110016 China Key Laboratory of Image Understanding Computer Vision Liaoning Province 110016 China AVIC HONGDU Aviation Industry Group Ltd. Nanchang 330024 China

ISBN: (纸本)9781424487363

Automatic suitable-matching area selection is an important research in visual guidance, scene matching and local non-texture target tracking. Meanwhile, it is the major research subject in computer vision and accurate guidance. In this paper, a new characteristic quantity, i.e., the edge direction dispersion was defined. Then the computation method, parameters selection and real-time realization of this characteristic quantity were investigated. Furthermore, the application of its characteristic in automatic suitable-matching area selection was studied. With a reasonable design for calculation precision, solving method for arctan(x) function in [-∞,+∞ ] could be simplified to linearization calculations in [0, 0.25], then a fast algorithm for arctan(x) function was presented. Experimental results showed that the sub-image extracted by our fast algorithm had higher matching level and was suitable to be a matching template. All the calculations involved in the proposed matching algorithm could be done in one filed period and the real-time request could be satisfied. Moreover, this characteristic of edge direction could also be used to measure the comparability of template and real-time images, which could be widely used in automatic target recognition and target tracking. © 2011 IEEE.

关键词： Target tracking

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Colour adjustment and specular removal for non-uniform shape from shading

Colour adjustment and specular removal for non-uniform shape...

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International Conference on Digital image Computing: Techniques and Applications, DICTA 2010

作者： Zhang, Xiaozheng Gao, Yongsheng Caelli, Terry Biosecurity Group Queensland Research Lab. National ICT Australia Computer Vision and Image Processing Lab. Griffith University Australia

ISBN: (纸本)9780769542713

Surface colour changes and specular reflections are two major problems in 3D modelling using shape-from-shading (SFS). This paper proposes to pre-process the input image for a typical SFS algorithm, so that the resultant image has no colour changes and specular reflection. First, a chromaticity-based specular reflection removal algorithm is applied to achieve a pure diffuse (Lambertian) reflected image. Then, a novel chromaticity-based colour adjustment approach is proposed to generate an image without surface colour changes. The standard SFS algorithms can then be applied successfully onto the processed images to produce plausible 3D models. In experiments, the proposed approach was tested on standard SFS datasets with complex surface colours. The experimental results show it's promising to facilitate SFS algorithms to handle SFS problems with more complex surface properties and illumination conditions. © 2010 IEEE.

关键词： Color

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Camera-supervised monitor shading correction for softproofing systems

Camera-supervised monitor shading correction for softproofin...

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作者： Brauers, Johannes Klein, Julie Hill, Bernhard Aach, Til Institute of Imaging and Computer Vision RWTH Aachen University Templergraben 55 D-52056 Aachen Germany Color and Image Processing Research Group RWTH Aachen University Templergraben 55 D-52056 Aachen Germany

ISBN: (纸本)9781617388897

A softproofing system is required to faithfully display color images. As the user relies on an appropriate calibration of the system, a method for the evaluation of the quality of the calibration is required. Such a method has recently been developed and allows a critical side-by-side comparison between the original sample and the reproduced monitor image by placing the original directly in front of the monitor. An internal light source of the softproofing system establishes an almost uniform illumination of the target. In this paper, we present a method to spatially equalize the brightness of the monitor with respect to an object placed in front of the monitor. The automatic calibration procedure requires minimal user intervention and utilizes a standard RGB camera in combination with a special calibration target. The results show that the camera enables an accurate and uncomplicated homog-enization of the monitor with respect to the object in front of the monitor.

关键词： Cameras

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Colour Adjustment and Specular Removal for Non-uniform Shape from Shading

Colour Adjustment and Specular Removal for Non-uniform Shape...

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Xiaozheng Zhang Yongsheng Gao Terry Caelli Computer Vision and Image Processing Laboratory Griffith University Australia Biosecurity Group Queensland Research Laboratory NICTA Australia

关键词： image color analysis Reflection Pixel Shape Classification algorithms Surface treatment Lighting

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Background subtraction for object detection under varying environments

Background subtraction for object detection under varying en...

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International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Saeed Vahabi Mashak Behnam Hosseini Musa Mokji S. A. R. Abu-Bakar Computer Vision Video and Image Processing (CvviP) research group Department Microelectronics and Computer Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Background subtraction is widely used for extracting unusual motion of object of interest in video images. In this paper, we propose a fast and flexible approach of object detection based on an adaptive background subtraction technique that also effectively eliminates shadows based on color constancy principle in RGB color space. This approach can be used for both outdoor and indoor environments. Our proposed method of background subtraction makes use of multiple thresholding technique for detecting object of interests for any given scene. Once the moving object has been detected from the complex background, then the shadows are detected and eliminated by considering some environmental parameters.

关键词： Pixel Green products Radio frequency Object detection Cameras Indoor environments Histograms

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Automatic Segmentation of Abdominal Aortic Aneurysm Using Logical Algorithm

Automatic Segmentation of Abdominal Aortic Aneurysm Using Lo...

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computer Modeling and Simulation, EMS, UKSIM European Symposium on FLAGGED

作者： Behnam Hosseini Saeed Vahabi Mashak Emadaldin Mozafari Majd U.U. Sheikh S.A.R. Abu-Bakar Computer Vision Video and Image Processing (CvviP) research group Department Microelectronics and Computer Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Abdominal aortic aneurysm is a cardiovascular disease which occurs due to an abnormal weakening of the aorta wall. This failure in aortic wall causes the inner layer to be ruptured because of excessive blood pressure. Consequently, the blood flows into the space between lumen and epithelial, hence a thrombus is generated. On the other hand, excessive growth in the aorta diameter can lead to death as a result of a rupture in the epithelial. In this paper, we present a technique for automatic segmentation of abdominal aortic aneurysm. The proposed method integrates the exclusive information extracted from histogram and morphological properties of aortic lumen to segment the aorta. Then the proposed algorithm utilizes a search technique with priori information about the lumen to segment epithelial area automatically.

关键词： Aneurysm Pixel image segmentation Biomedical imaging Shape Computed tomography Histograms

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Categorization of Human Movement Based on Rule-Based Classifier

Categorization of Human Movement Based on Rule-Based Classif...

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Asia International Conference on Modeling & Simulation

作者： Behnam Hosseini Saeed Vahabi Mashak S.A.R. Abu-Bakar Computer Vision Video and Image Processing (CvviP) research group Department Microelectronics and computer Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

ISBN: (纸本)9781424471966

Human activity recognition is an active research field in computer vision and image processing. This paper has been concentrated on the recognition between different cyclic motion activities such as running and walking. The proposed system consists of three major steps. Initially by using a single camera, in a variety of angles, the movement of the object is detected, and object silhouette is generated in each frame. Then, our proposed method for generating a skeleton of silhouette is presented. The skeleton is used to determine human activities such as running and walking. In the last stage, a rule-based classifier is used to classify the action.

关键词： Humans Skeleton Cameras Legged locomotion computer vision Object detection Surveillance image processing Streaming media Airports

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Automatic Segmentation of Abdominal Aortic Aneurysm in Computed Tomography images Using Spatial Fuzzy C-Means

Automatic Segmentation of Abdominal Aortic Aneurysm in Compu...

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International IEEE Conference on Signal-image Technologies and Internet-Based System

作者： Emadaldin Mozafari Majd U.U. Sheikh S.A.R. Abu-Bakar Computer Vision Video and Image Processing Research Group (Cvvip) Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia

Abdominal aortic aneurysm (AAA) is a cardiovascular disease which mostly appears in elderly people. Due to the weakening of aortic wall, a rupture occurs in the most inner layer of aorta and a thrombus is generated. If the diameter exceeds greater than 5.5 cm, a treatment strategy is required. As a result, CT imaging is utilized to screen and evaluate thrombus parameters for treatment. Exploitation of automatic techniques improves the pre- and post-treatment evaluation. In this paper, at first an algorithm based on spatial fuzzy c-means is applied to the CT image. Then lumen and thrombus are segmented automatically by tuning of morphological operators and thresholding parameters.

关键词： image segmentation Computed tomography Pixel Aneurysm Clustering algorithms Correlation Biomedical imaging

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