2007 5th International Symposium on Image and Signal Processing and Analysis最新文献_第3页

Identification of Aortic Stenosis and Mitral Regurgitation By Heart Sound Segmentation On Time-Frequency Domain 心音时频分割识别主动脉瓣狭窄和二尖瓣返流

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383654

D. Boutana, M. Djeddi, M. Benidir

{"title":"Identification of Aortic Stenosis and Mitral Regurgitation By Heart Sound Segmentation On Time-Frequency Domain","authors":"D. Boutana, M. Djeddi, M. Benidir","doi":"10.1109/ISPA.2007.4383654","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383654","url":null,"abstract":"Heart sounds are multicomponent non-stationary signals which characterize the normal phonocardiogram signals (PCGs) and more significantly the pathological PCGs. The time-frequency distributions (TFDs) are a useful tool for local analysis of non-stationary and fast transient wideband signals especially for (PCG) signals. This tool provides a noninvasive probe to detect and to characterize the presence of abnormal murmur in the diagnosis of heart disease. In this paper, we introduce a method for the segmentation and the analysis the PCG signal for detecting the murmur based on time frequency analysis in conjunction with a threshold based on Renyi entropy. The method was applied to differents sets of PCG's: Early Aortic Stenosis (EAS), Late systolic Aortic Stenosis (LAS), and finely the Mitral Regurgitation (MR.). The analysis has been conducted on data which have been collected from [1] . Test performed on these real biomedical data proves the ability of the method for segmentation between the main components of the PCG signal and the pathological murmurs. Also, the method permits to elucidate and extract useful features for diagnosis and pathological recognition.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121025668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

A New Hilbert Transformer Based on Parametric Wavelet Kernel: Application to Analytic Signal Decomposition of Speech Sub-bands 基于参数小波核的Hilbert变换在语音子带分析信号分解中的应用

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383689

M. Omidi, M. Savoji

引用次数: 2

Alignment of 3D DCE-MRI Abdominal Series for Optimal Quantification of Kidney Function 三维DCE-MRI腹部序列对准肾脏功能最佳量化

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383729

R. Sance, M. Ledesma-Carbayo, A. Lundervold, A. Santos

引用次数: 9

Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms k-NN、SVM和NN在共现直方图放大内镜结肠图像坑模式分类中的比较

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383747

M. Häfner, Alfred Gangl, F. Wrba, K. Thonhauser, Haiko Schmidt, C. Kastinger, A. Uhl, A. Vécsei

引用次数: 12

An Image-Based Measurement System for Quality Control in Civil Engineering 基于图像的土木工程质量控制测量系统

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383674

A. Reiterer, M. Lehmann

{"title":"An Image-Based Measurement System for Quality Control in Civil Engineering","authors":"A. Reiterer, M. Lehmann","doi":"10.1109/ISPA.2007.4383674","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383674","url":null,"abstract":"In the past, high-precision on-line 3D measuring required artificial targets defining the points on the objects to be monitored. For many tasks like monitoring of displacements of buildings, artificial targets are not desired. Today's image assisted measurement systems can perform their measurements even without targeting. Such systems use the texture on the surface of the object to find \"interesting points\" which can replace the artificial targets. However, well-trained \"measurement experts\" are required to operate such a measurement system. In order to make such systems easy to use even for non-experts, it can be extended by an appropriate decision system which supports the operator. At the Institute of Geodesy and Geophysics of Vienna University of Technology a new kind of image-based measurement system is to be developed (research project \"multi-sensor deformation measurement system supported by knowledge-based and cognitive vision techniques\"). This system can be used for measuring, analysing and interpreting deformations for the task of quality control in civil engineering. The workflow is based on new techniques originally developed in the area of artificial intelligence.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115733309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A Fast Closed-Form Solution for Single-View Pose Determination 单视图姿态确定的快速封闭形式解决方案

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383676

B. St John, G. Madlmayr

引用次数: 0

A Fully Automated Method for Segmentation and Thickness Map Estimation of Femoral and Acetabular Cartilages in 3D CT Images of the Hip 髋关节三维CT图像中股骨和髋臼软骨分割和厚度图估计的全自动方法

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383670

A. Baniasadipour, R. Zoroofi, Yoshinobu Sato, T. Nishii, Katsuyuki Nakanishi, Hisashi Tanaka, Nobuhiko Sugano, Hideki Yoshikawa, H. Nakamura, Shinichi Tamura

{"title":"A Fully Automated Method for Segmentation and Thickness Map Estimation of Femoral and Acetabular Cartilages in 3D CT Images of the Hip","authors":"A. Baniasadipour, R. Zoroofi, Yoshinobu Sato, T. Nishii, Katsuyuki Nakanishi, Hisashi Tanaka, Nobuhiko Sugano, Hideki Yoshikawa, H. Nakamura, Shinichi Tamura","doi":"10.1109/ISPA.2007.4383670","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383670","url":null,"abstract":"In this research, we propose a multi-step method for automatic segmentation of the hip femoral and acetabular cartilages from CT images. Differentiation of the acetabular and femoral cartilages in conventional CT images due to very narrow space and low intensity of the articular space is very difficult. For this reason, MRI of the hip under continuous leg traction is the choice for assessment of the hip articular cartilage. However, this procedure is time consuming, painful, and hence inconvenient. By injecting the contrast media in the hip during data acquisition, we separated the femoral and acetabular cartilage from each other. The multi-step approach for segmentation of the femoral and acetabular cartilages is as follows. We first enhance the dynamic range and contrast of the data set by a conventional procedure. We then estimate the center of the femoral head utilizing a Hough transform. The estimated center is used as a pivotal point for beginning the process. Next, based on anatomical knowledge about the femoral head shape and size, we derive a region of interest (ROI) for further operations. In this case, by employing an Image Bottom Hat technique and anatomical knowledge about the curved shaped of the cartilages, we extract the valleys between contrast media and hip bones. The valley between the contrast media and femoral head and pelvis bone is associated with the femoral and acetabular cartilages. The anatomical assumptions we apply in this research is valid in most hip joint images. After segmentation, we present a 3D visualization and thickness map estimation of the hip femoral and acetabular cartilages. The proposed model is successfully applied to fourteen sets (3584 images) of actual in vivo hip CT data.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A Novel Tone Mapping Method for Image Contrast Enhancement 一种新的图像对比度增强色调映射方法

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383703

R. Bilcu, M. Vehvilainen, R. Bilcu, M. Vehvilainen

引用次数: 5

Neural, Fuzzy And Neurofuzzy Approach To Classification Of Normal And Alcoholic Electroencephalograms 神经、模糊和神经模糊方法对正常和酒精性脑电图的分类

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383672

A. Yazdani, P. Ataee, S. Setarehdan, Babak Nadjar Araabi, C. Lucas

{"title":"Neural, Fuzzy And Neurofuzzy Approach To Classification Of Normal And Alcoholic Electroencephalograms","authors":"A. Yazdani, P. Ataee, S. Setarehdan, Babak Nadjar Araabi, C. Lucas","doi":"10.1109/ISPA.2007.4383672","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383672","url":null,"abstract":"According to the literature, many psychiatric phenotypes, brain disorders and/or mental tasks can be detected by analyzing EEG signals. One such a psychiatric phenotype is alcoholism. In this paper the parameters of second order autoregressive model, peak amplitude of the power spectrum, mean of absolute value and the variance of the signal are extracted as features of the signal. The dimension of the feature vector is then reduced by means of PCA. Next a method based on fuzzy inference system as a fuzzy approach in classification is investigated. In this method first the data in each class is divided into two clusters separately and a Gaussian membership function is defined for each cluster. Classification is performed by means of if-then rules generated in the previous step. Then an adaptive neurofuzzy inference system is used for classification. Due to the ability of the neurofuzzy inference system to be trained higher classification accuracy is achieved. Finally with the use of a multilayer perceptron structure it is shown that an accuracy of 100% can be achieved for separating the two classes.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126343672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Deblurring of UAV aerial images for civil structures inspections using Mumford-Shah / Total variation regularisation 使用Mumford-Shah / Total变化正则化对民用结构检查的无人机航拍图像去模糊

2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383702

A. Hammer, J. Dumoulin, B. Vozel, K. Chehdi

引用次数: 5