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IEEE International Conference on image processing

作者： Tamas Blaskovics Zoltan Kato Ian Jermyn Image Processing and Computer Graphics Department University of Szeged Szeged Hungary ARIANA (joint INRIA/I3S research group INRIA Sophia-Antipolis France

We propose a binary Markov random field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We construct the model by discretizing the `gas of circles' phase field model in a principled way, thereby creating an `equivalent'MRF. The behaviour of the resulting MRF model is analyzed, and the performance of the new model is demonstrated on various synthetic images as well as on the problem of tree crown detection in aerial images.

关键词： Markov random fields Shape image segmentation image processing computer graphics image analysis Performance analysis image generation Humans Mathematical model

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ICIC Express Letters 2011年第3期5卷 727-731页

作者： Li, Li Zhang, David Ruan, Liuzhao Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Second Avenue Xiashagaojiao District Hangzhou 310018 China Centre for Multimedia Signal Processing and Department of Computing Biometrics Research Centre Hong Kong Polytechnic University Hung Horn Kowloon Hong Kong

The popular formulas of evaluating the similarity of digital watermarks have serious drawbacks: when the similarity degree is 1, the watermarks are not unique. This paper firstly analyzes the drawbacks in the popular formulas, then proposes a new similarity degree formula, which weakens the shortcomings of the existing formulas and overcomes the lack of uniqueness in theory. From the experimental results, the new formula not only does well in evaluating the watermark's similarity degree, but also is in good accordance with visual perception. © 2011 ISSN 1881-803X.

关键词： Digital watermarking

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Method for automatically segmenting the spinal cord and canal from 3D CT images

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11th International Conference on computer Analysis of images and Patterns, CAIP 2005

作者： Nyúl, Lászlo G. Kanyó, Judit Máté, Eörs Makay, Géza Balogh, Emese Fidrich, Márta Kuba, Attila Department of Image Processing and Computer Graphics University of Szeged Árpád tér 2 H-6720 Szeged Hungary Clinical Software Engineering GE Medical Systems Lajos u. 48-66 H-1036 Budapest Hungary Institute of Mathematics University of Szeged Aradi vértanuk tere 1 H-6720 Szeged Hungary

ISBN: (纸本)3540289690

We present two approaches for automatically segmenting the spinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically. An extended region-growing technique is suggested for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful (in reducing/eliminating contouring labor and time) and met the accuracy and repeatability requirements for the particular task. © Springer-Verlag Berlin Heidelberg 2005.

关键词： computerized tomography

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Knot modifications of B-spline or NURBS Surface

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of computer-Aided Design and computer graphics 2005年第5期17卷 986-989页

作者： Li, Yajuan Wang, Guozhao Department of Mathematics Institute of Computer Graphics and Image Processing Zhejiang University Hangzhou 310027 China

Modifying some knots of a B-spline or NURBS surface of order k×h to generate a family of B-spline or NURBS surface is presented. We show that the envelope of the family is a B-spline or NURBS surface defined by the same control points, and its order is (k-a)×(h-b), where a, b are the multiplicity of the modified knots. Moreover, any order partial derivatives of the B-spline surface and the family of B-spline surfaces differ only in a multiplier. The presented results can be served as a theoretical guidance for surface modeling and shape modifications in computer aided design today.

关键词： B-spline surface Envelope Knots modification NURBS surface Shape modifications

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Active Feature Models

Active Feature Models

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International Conference on Pattern Recognition

作者： G. Langs P. Peloschek R. Donner M. Reiter H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria Pattern Recognition and Image Processing Group University of Technology Vienna Austria Department of Radiology Medical University of Vienna Austria

ISBN: (纸本)0769525210

In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are related to active appearance models, but instead of modelling the entire texture of an object they represent image texture by means of local descriptors. The approach has advantages with complex image data like anatomical structures that exhibit high texture variation with limited relevance for the recognition of the object location. Experimental results and the comparison to AAMs on different data sets indicate that active feature models can improve search speed and result accuracy, considerably

关键词： Shape Active appearance model Biomedical imaging image texture image edge detection image texture analysis computer graphics Pattern recognition image processing Radiology

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Geometric parameters based cubic PH curve interpolation and approximation

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Journal of Information and Computational Science 2009年第6期6卷 2423-2432页

作者： Cheng, Min Wang, Guojin Department of Mathematics Zhejiang University Zhejiang Hangzhou 310000 China College of Science Zhejiang University of Technology Zhejiang Hangzhou 310000 China Institute of Computer Graphics and Image Processing Zhejiang University Zhejiang Hangzhou 310000 China

The Pythagorean-hodograph curves offer unique computational advantages in computer aided design and manufacturing. In this paper, geometric parameters based cubic PH curve interpolation and approximation algorithms are presented. The essential geometric parameters include the ratio ρ of the adjacent control polygon legs, the control polygon angle θ, the first control polygon leg L, the included angle δ between the first control polygon edge and the edge joining the origin O and the first control point, as well as the coefficient Dir of curve rotation. Furthermore the problem of PH curve approximation with endpoints interpolation to a cubic non-PH curve is studied, including the algorithms based on different geometric parameters input {δ, θ}, {ρ, θ} and {ρ, δ} respectively. © 2009 Binary Information Press.

关键词： Approximation algorithms

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Automatic Detection and Characterization of Funnel Chest Based on Spiral CT

Automatic Detection and Characterization of Funnel Chest Bas...

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The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Laszlo Papp Reka Juhasz Sonja Travar Erich Sorantin Alexander Kolli Department of Radiology and Nuclear Medicine UK-SH Campus KielGermany Mediso Medical Imaging System Department of Image Processing and Computer Graphics University of SzegedHungary Clinical Center Vojvodina University of Novi SadSerbia Research Unit for Digital Information and Image Processing University Clinic for RadiologyMedical U

A method was proposed in order to process and classify CT slices representing funnel chest deformities. A manually chosen CT slice was processed to detect the inner curvature of the chest for characterization. Normalized data from the detected inner curvature was gained and saved next to a manually-given deformity type for further classifications. Based on the multiple correlations of the values gained from the inner curvature, a hierarchical classification was performed on 199 patient data. Results have shown that the calculated values gained from the inner curvature can accurately characterize the deformity type of the chest. Since minimal user interaction was necessary to detect and characterize the inner curvature, our method is considered to be an effective automated procedure for funnel chest deformity classifications.

关键词： Spirals Computed tomography Biomedical imaging image processing Picture archiving and communication systems image segmentation Radiology Medical control systems Heart Shape

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Real-time out-of-core visualization of particle traces

Real-time out-of-core visualization of particle traces

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IEEE Symposium on Parallel and Large-Data Visualization and graphics (PVG)

作者： R. Bruckschen F. Kuester B. Hamann K.I. Joy Visualization and Graphics Research Group Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA Visualization and Interactive Systems Group Department of Electrical and Computer Engineering University of California Irvine CA USA

ISBN: (纸本)0780372239

Visualization of particle traces provides intuitive and efficient means for the exploration and analysis of complex vector fields. The paper presents a method suitable for the real-time visualization of arbitrarily large time-varying vector fields in virtual environments. We describe an out-of-core scheme in which two distinct pre-processing and rendering components enable real-time data streaming and visualization. The presented approach yields low-latency application start-up times and small memory footprints. The described system was used to implement a "volumetric fog lance," which can emit up to 60000 particles into a flow field while maintaining an interactive frame rate of 60 frames per second. All algorithms were specifically designed to support commodity hardware. The proof-of-concept system is running on a low-cost Linux workstation equipped with a 120 GB E-IDE RAID (redundant array of inexpensive disk) system.

关键词： Data visualization Computational modeling Computational fluid dynamics Motion pictures Hardware computer graphics Interactive systems image processing computer science image analysis

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Segmentation of the uterine wall by an ensemble of fully convolutional neural networks 40

Segmentation of the uterine wall by an ensemble of fully con...

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40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

作者： Burai, Peter Hajdu, Andras Manuel, Felipe-Riveron Edgardo Harangi, Balazs Department of Computer Graphics and Image Processing University of Debrecen POB 400 DebrecenH-4002 Hungary Laboratorio de Inteligencia Artificial Instituto Politécnico Nacional Centro de Investigación en Computación Juan de Dios Batiz S/N esq. Col. Nueva Industrial VallejoC.P. 07738 Mexico

ISBN: (纸本)9781538636466

In the past decades, the number of in vitro fertilization (IVF) procedures for the conception of a child has been rising continuously, however, the success rate of artificial insemination remained low. According to current statistics, large portion of unsuccessful IVF relates to some women' factors. As the directly related female organ, the proper investigation of the uterus has primary importance. Namely, visible markers may indicate inflammations or other negative effects that jeopardize successful implantation. The purpose of this study is to support the observability of the uterus from this aspect by providing computer-aided tools for the extraction of its wall from video hysteroscopy. As for methodology, fully convolutional neural networks (FCNNs) are used for the automatic segmentation of the video frames to determine the region of interest. We provide the necessary steps for the applicability of the general deep learning framework for this specific task. Moreover, we increase segmentation accuracy with applying ensemble-based approaches at two levels. First, the predictions of a given FCNN are aggregated for the overlapping regions of subimages, which are derived from the splitting of the original images. Next, the segmentation results of different FCNNs are fused via a weighted combination model;optimization for adjusting the weights are also provided. Based on our experimental results, we have achieved 91.56% segmentation accuracy regarding the recognition of the uterus wall. © 2018 IEEE.

关键词： image segmentation Task analysis Convolutional neural networks Training Adaptation models Tools Optimization

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Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction 1

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1st International Workshop on Graph Learning in Medical Imaging, GLMI 2019 held in conjunction with the 22nd International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2019

作者： Dzyubachyk, Oleh Koolstra, Kirsten Pezzotti, Nicola Lelieveldt, Boudewijn P. F. Webb, Andrew Börnert, Peter Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands C.J. Gorter Center for High Field MRI Department of Radiology Leiden University Medical Center Leiden Netherlands Computer Graphics and Visualization Group Delft University of Technology Delft Netherlands Philips Research Eindhoven Eindhoven Netherlands Intelligent Systems Department Delft University of Technology Delft Netherlands Philips Research Hamburg Hamburg Germany

ISBN: (数字)9783030358174

ISBN: (纸本)9783030358167

Quality assessment of different Magnetic Resonance Fingerprinting (MRF) sequences and their corresponding dictionaries remains an unsolved problem. In this work we present a method in which we approach analysis of MRF dictionaries by performing dimensionality reduction and representing them as low-dimensional point sets (embeddings). Dimensionality reduction was performed using a modification of the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm. First, we demonstrated stability of calculated embeddings that allows neglecting the stochastic nature of t-SNE. Next, we proposed and analyzed two algorithms for comparing the embeddings. Finally, we performed two simulations in which we reduced the MRF sequence/dictionary in length or size and analyzed the influence of this reduction on the resulting embedding. We believe that this research can pave the way to development of a software tool for analysis, including better understanding, optimization and comparison, of different MRF sequences. © 2019, Springer Nature Switzerland AG.

关键词： Magnetic resonance

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