{"title":"Performance Evaluation of Cardiac MRI Image Denoising Techniques","authors":"M. A. Alattar, A. Motaal, N. Osman, A. Fahmy","doi":"10.1109/CIBEC.2008.4786055","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786055","url":null,"abstract":"Black-blood cardiac magnetic resonance imaging (MRI) plays an important role in diagnosing a number of heart diseases. The technique suffers inherently from low contrast-to-noise ratio between the myocardium and the blood. In this work, we examined the performance of different classification techniques that can be used. The three techniques successfully removed the noise with different performance. Numerical simulation has been done to quantitatively evaluate the performance of each technique.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262166","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}
{"title":"Retinal Identification","authors":"N. A. Rahman, A. Mohamed, M. Rasmy","doi":"10.1109/cibec.2008.4786039","DOIUrl":"https://doi.org/10.1109/cibec.2008.4786039","url":null,"abstract":"The need to identify people is as old as human kind. Biometric devices automate the personal recognition process. Each of us is unique from every other human being. We have unique physical characteristics, such as fingerprints, blood vessel patterns and hand shape. Biometric devices measure and record these characteristics for automated comparison and verification. The aim of this study is accurately identifying people using their retinal image. A new algorithm is proposed for the extraction of the retinal characteristic features based on image analysis and image statistics. These features are extracted from the plane of the fundus image captured by a fundus camera. These features can be used for either the verification or identification process. The algorithm was tested with sixty fundus images. Success rate of 94.5% is reached.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123995330","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}
{"title":"Emotion detection using brain and peripheral signals","authors":"Z. Khalili, Mohammad Hassan Moradi","doi":"10.1109/CIBEC.2008.4786096","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786096","url":null,"abstract":"An emotion recognition system on the basis of physiological signals is proposed in this paper. The aim is to perform a multimodal fusion between electroencephalographic signals of the brain (EEG) and peripheral physiological signals. our acquisition protocol is based on a subset of pictures which correspond to three specific areas of valance-arousal emotional space (positively excited, negatively excited, and calm). Preprocessing and feature extraction methods have been set up in such away that emotion-specific characteristics can be extracted from input signals. The performance of two classifiers has been evaluated on different feature sets: peripheral signals, EEG's, and both. A comparison among the results of different feature sets confirms the interest of using brain signals as peripherals in emotion assessment.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131528742","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}
{"title":"On-the-Fly Detection of Changes in Mucosal Tissue Architecture During Endoscopy - A Flag as to Where and When to Take Biopsies","authors":"F. Cohen, E. Taslidere, S. Murthy","doi":"10.1109/CIBEC.2008.4786050","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786050","url":null,"abstract":"In this paper we present a segmentation technique that raises a flag on-the-fly as to when a transition occurs between different mucosal architectures while traveling along the surface of the tissue for careful and subsequent examination. The presented segmentation technique has the potential to enhance the endoscopist's ability to locate and identify abnormal mucosal architectures; and to help in the decision as to when and where to take biopsies; steps that should lead to improvement in the diagnostic yield. The segmentation scheme is based on detecting an abrupt change in the parameters extracted from the stochastic decomposition method (SDM) that models the scattered signal. Subsequent evaluation of the homogeneous regions separated by the found edges for further mucosal type classification is then possible. The tests are performed on two types of animal tissue data collected from rat colon and rabbit colon in vitro. The results demonstrate the effectiveness of the proposed segmentation scheme to detect the transition between different mucosal structures on-the-fly with sensitivity reaching 40 mum which corresponds to the sliding segmentation window step size used in our experiments.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831254","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}
A. Khan, N. Z. Azeemi, A. Hameed, I. Ali, T. Rasool
{"title":"Ultra Wide Band Radar Based Tamper-Resistant Clinical Asset Tracking System (ATS)","authors":"A. Khan, N. Z. Azeemi, A. Hameed, I. Ali, T. Rasool","doi":"10.1109/CIBEC.2008.4786102","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786102","url":null,"abstract":"From a patient safety perspective, time-consuming searches for life saving equipments or drugs have been the subject of a hazard report or recall. In addition to yielding significant time saving asset tracking systems (ATS) ensure all assets tracking. In this work, an ultra wide band (UWB) tracking system is developed, that automatically captures the movement of in-house patients and clinical staff. The whole system comprises of position assessment block (PAB), position management block (PMB) and application processing unit (APU), connected through UWB and wireless LAN network. System is tested in a typical hospital ward environment for diversified UWB receiver tracking methodologies, such as point mode tracking (PMT), linear scan mode tracking (LSMT), bat mode tracking (BMT) and panoramic tracking (PMT). Characterization of suitable tracking schemes is also discussed. Robustness of system is verified for across various position detection algorithms e.g., angle of arrival (AOA), received signal strength (RSS) and time of arrival (TOA). In addition to helping staff locate equipment, our ATS is able to facilitate use and distribution of inventory by collecting and facilitating the of data on equipment location over time and hence prone to be tampered.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970756","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}
{"title":"Hybrid Imaging Method for Early Breast Cancer Dtection","authors":"A. Abbosh, S. Crozier","doi":"10.1109/CIBEC.2008.4786049","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786049","url":null,"abstract":"A theoretical model is presented to investigate the possibility of using a hybrid imaging method for early breast cancer detection. It uses the combined microwave and acoustic excitations to exploit contrasts in both the dielectric and elastic properties of malignant and normal breast tissues. The calculated results presented in this paper show that value of the scattering contrast between the malignant and healthy tissues is increased significantly when using the proposed hybrid method, which means an increase in the detection capability of the imaging system.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121079526","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}
{"title":"Compact Antenna for Microwave Imaging Systems","authors":"A. Abbosh","doi":"10.1109/CIBEC.2008.4786120","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786120","url":null,"abstract":"A planar antenna with ultra wideband directive performance is presented. It is aimed to be part of a microwave imaging system for breast cancer detection. The antenna is designed to operate efficiently across the ultra wideband frequency (3.1 GHz to 10.6 GHz). It has a very compact size with overall dimensions of 0.9 cmtimes1 cm. The antenna is assumed to be immersed in a liquid of a high dielectric constant to improve the matching with the breast tissues, and thus to increase the dynamic range of the system. The time domain performance of the antenna shows negligible distortion, which makes it suitable for the medical imaging systems utilizing a short pulse for its operation. The effect of the multilayer breast tissues on performance of the antenna is also investigated by calculating the fidelity factor across all layers of the breast. It is shown that due to multiple reflection/scattering, the fidelity factor decreases as the signal propagates inside the breast. However, the fidelity factor is always larger than 80% revealing the possibility of using the proposed antenna in the microwave imaging systems.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115215971","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}