ISRN Biomedical Imaging最新文献

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Measurement of Optical Scattering Coefficient of the Individual Layers of the Human Urinary Bladder Using Optical Coherence Tomography 利用光学相干断层扫描测量人体膀胱各层的光学散射系数

ISRN Biomedical Imaging Pub Date : 2014-02-16 DOI: 10.1155/2014/591592

O. Ejofodomi

引用次数: 2

Automated Brain Tissue Classification by Multisignal Wavelet Decomposition and Independent Component Analysis 基于多信号小波分解和独立分量分析的脑组织自动分类

ISRN Biomedical Imaging Pub Date : 2013-04-22 DOI: 10.1155/2013/473437

S. Sindhumol, Anil Kumar, K. Balakrishnan

{"title":"Automated Brain Tissue Classification by Multisignal Wavelet Decomposition and Independent Component Analysis","authors":"S. Sindhumol, Anil Kumar, K. Balakrishnan","doi":"10.1155/2013/473437","DOIUrl":"https://doi.org/10.1155/2013/473437","url":null,"abstract":"Multispectral analysis is a potential approach in simultaneous analysis of brain MRI sequences. However, conventional classification methods often fail to yield consistent accuracy in tissue classification and abnormality extraction. Feature extraction methods like Independent Component Analysis (ICA) have been effectively used in recent studies to improve the results. However, these methods were inefficient in identifying less frequently occurred features like small lesions. A new method, Multisignal Wavelet Independent Component Analysis (MW-ICA), is proposed in this work to resolve this issue. First, we applied a multisignal wavelet analysis on input multispectral data. Then, reconstructed signals from detail coefficients were used in conjunction with original input signals to do ICA. Finally, Fuzzy C-Means (FCM) clustering was performed on generated results for visual and quantitative analysis. Reproducibility and accuracy of the classification results from proposed method were evaluated by synthetic and clinical abnormal data. To ensure the positive effect of the new method in classification, we carried out a detailed comparative analysis of reproduced tissues with those from conventional ICA. Reproduced small abnormalities were observed to give good accuracy/Tanimoto Index values, 98.69%/0.89, in clinical analysis. Experimental results recommend MW-ICA as a promising method for improved brain tissue classification.","PeriodicalId":200575,"journal":{"name":"ISRN Biomedical Imaging","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545580","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

Optical Coherence Tomography in the Diagnosis and Monitoring of Retinal Diseases 光学相干断层扫描在视网膜疾病诊断和监测中的应用

ISRN Biomedical Imaging Pub Date : 2013-02-26 DOI: 10.1155/2013/910641

S. Ţălu

{"title":"Optical Coherence Tomography in the Diagnosis and Monitoring of Retinal Diseases","authors":"S. Ţălu","doi":"10.1155/2013/910641","DOIUrl":"https://doi.org/10.1155/2013/910641","url":null,"abstract":"Optical coherence tomography (OCT) allows the visualization of the retinal microarchitecture as cross-sectional or tomographic volumetric data. The usefulness of OCT in the management of various retinal diseases is validated by the possibility to allow early diagnosis and to help in the decision-making process. OCT is applied by two main methods: time domain (TD-OCT) and spectral domain (SD-OCT). The advantages of SD-OCT over TD-OCT are significant improvement of the image axial resolution, decreased acquisition times, reduction of motion artifacts, increased area of retinal sampling, and the possibility to create topographic maps by the three-dimensional evaluation of tissues. OCT is the most precise method to measure the central macular thickness (which is the most important practical parameter) in vivo. It has been demonstrated that there are differences in the retinal thickness measurements between OCT models, explained by the higher axial and transverse resolutions of the newer devices. Further research has led to significant improvements in OCT technology represented by ultrahigh resolution OCT (UHR-OCT), swept source OCT (SS-OCT), enhanced depth imaging OCT (EDI-OCT), and adaptive optics. Technological progress in OCT imaging offered new perspectives for better understanding the retinal diseases, opening new avenues for the fundamental and clinical research. This is a review of the data in the literature concerning the evolution of OCT technology in the field of retinal imaging.","PeriodicalId":200575,"journal":{"name":"ISRN Biomedical Imaging","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122593411","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: 23