2018 9th Cairo International Biomedical Engineering Conference (CIBEC)最新文献_第3页

CIBEC 2018 Author Index CIBEC 2018作者索引

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/cibec.2018.8641814

引用次数: 0

Detection of Breast Diseases using Numerical Study of Light Propagation 利用光传播数值研究检测乳腺疾病

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641819

Omnia Hamdy, Doaa Youssef, J. El-Azab, Nahed H. Soluma

{"title":"Detection of Breast Diseases using Numerical Study of Light Propagation","authors":"Omnia Hamdy, Doaa Youssef, J. El-Azab, Nahed H. Soluma","doi":"10.1109/CIBEC.2018.8641819","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641819","url":null,"abstract":"Breast cancer is the most women killing disease worldwide which is easily treated in its early stages before symptoms appear. Therefore, early detection of breast tumor is very significant to reduce the breast cancer death rate. Since the limitations of breast diagnosis techniques, such as X-ray mammography, magnetic resonance imaging, breast ultrasonography and breast biopsies, in early assessment of the breast tissue, optical breast imaging methods have been appeared. In this article, an optical imaging method based on numerical study of light propagation in breast tissue, to measure spatially resolved steady state diffuse reflectance, transmittance and absorbed fraction features, by means of Monte-Carlo simulation was applied for early detection of the breast cancer. The features were measured for 5 mm thick samples of healthy breast tissue and breast tissues with benign and malignant tumors. The obtained results revealed that the features can be used for early detection of breast cancer in addition to the discrimination of benign and malignant tumors which can be very helpful in medical diagnosis of many breast diseases.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127034643","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: 12

Estimation of Blood Perfusion and Metabolic Heat Generation of Lung Tumor During Cryosurgery 肺肿瘤冷冻手术中血液灌注及代谢热的测定

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641829

H. Kassahun, Henok Tadesse Moges, Amanuel Shigut Dinsa, W. Negussie, Okebiorun Michael Oluwaseyi, M. Rushdi

{"title":"Estimation of Blood Perfusion and Metabolic Heat Generation of Lung Tumor During Cryosurgery","authors":"H. Kassahun, Henok Tadesse Moges, Amanuel Shigut Dinsa, W. Negussie, Okebiorun Michael Oluwaseyi, M. Rushdi","doi":"10.1109/CIBEC.2018.8641829","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641829","url":null,"abstract":"Cryosurgery applies very cold temperature to freeze tumor cells. For accurate treatment, monitoring the temperature field during this process is a must. In this work, we estimated parameters such as metabolic heat generation and blood perfusion rate which are vital to determine the temperature field during cryosurgery. We applied the Quasi-Newton and the Gauss-Newton inverse algorithms to estimate these parameters. Temperature measurements were taken from sensor output. To estimate the parameters, the one-dimensional Pennes’ bioheat equation was utilized. The parameters were predicted using least square minimization of the difference between sensor output and estimated temperature values. Once the parameters are obtained, the temperature distribution around the lung tumor at any time can easily be determined. Random initial values were given for both algorithms. The result showed that the Gauss-Newton method has faster convergence rate as compared to the Quasi Newton method in estimating the target parameters. The output of the research will help cryosurgeons to monitor the temperature of the cryoprobe during cryosurgery procedures.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114146767","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: 0

A novel Approach for Improving Patient Flow in Emergency Department 改善急诊科病人流动的新方法

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641832

Hend Adel, M. Wahed, N. Saleh

引用次数: 7

Selection of Appropriate Maintenance Strategy for Medical Equipment 医疗设备维修策略的选择

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641811

Ahmed Z. Elseddawy, A. Kandil

引用次数: 4

Modeling of the Effect of Dilated Cardiomyopathy on the Behavior of the Heart 扩张型心肌病对心脏行为影响的建模

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641792

F. H. Mohammed, Essam M. Shafei, A. El-Garhy, M. El-dosoky

引用次数: 1

Automatic Breast Cancer Detection Using Digital Thermal Images 使用数字热图像自动检测乳腺癌

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641807

Ola Soliman, N. H. Sweilam, D. Shawky

引用次数: 8

Decision Support System for Medical Equipment Failure Analysis 医疗设备故障分析决策支持系统

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641786

Amira M. Osman, W. Al-Atabany, N. Saleh, Ayman M. El-Deib

{"title":"Decision Support System for Medical Equipment Failure Analysis","authors":"Amira M. Osman, W. Al-Atabany, N. Saleh, Ayman M. El-Deib","doi":"10.1109/CIBEC.2018.8641786","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641786","url":null,"abstract":"Medical equipment management raises a range of complex problems including those associated with maintenance process. In developing countries, hospitals rarely implement a coherent management plan in medical equipment management. One of the most significant challenges is to distinguish medical equipment that requires repair from those require replacement. Thus, a Decision Support System (DSS) is required to manage this pitfall properly. In this paper, a multi-criteria decision making model, Analytic Hierarchy Process (AHP) is presented to select an optimum maintenance strategy. With reference to literature review and experts' opinions; a set of criteria is employed to calculate a criticality score for each piece of equipment. Therefore, a list of equipment is ranked based on their scores and an optimum threshold is selected to differentiate between maintenance and replacement requirements. Fifty different types of medical equipment located in multiple public hospitals have been used in the validation of the proposed model. Results show that the proposed model can efficiently differentiate the equipment that requires repair and the others that needs to be scrapped.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125585655","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: 2

Tactile Sensor with a Structured 3D Printed Cover and Laser-Isolated Tactels 触觉传感器与一个结构化的3D打印封面和激光隔离触觉

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641757

Raúl Lora-Rivera, Ángela Fernández-Ruiz, José Manuel Cuesta-Ramírez, Arturo de Guzmán-Manzano, J. Castellanos-Ramos, Ó. Oballe-Peinado, F. Vidal-Verdú

引用次数: 4

Analysing Vascular Structure to Determine Intra Retinal MicroVascular Abnormalities (IRMA) 分析血管结构判断视网膜内微血管异常(IRMA)

2018 9th Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2018-12-01 DOI: 10.1109/CIBEC.2018.8641825

Rabeeah Ali, M. Akram

{"title":"Analysing Vascular Structure to Determine Intra Retinal MicroVascular Abnormalities (IRMA)","authors":"Rabeeah Ali, M. Akram","doi":"10.1109/CIBEC.2018.8641825","DOIUrl":"https://doi.org/10.1109/CIBEC.2018.8641825","url":null,"abstract":"Retinal fundus images are coloured images obtained through specially designed cameras through a dilated pupil of the patient. Analysis of these images is being used to detect retinal vascular abnormalities to provide insight into onset or severity of retinopathies specially hypertensive or diabetic retinopathy. One of the common yet significant change that occurs is the change in vascular shape; in that the vessel(s) becomes non-periodically twisted; more generally termed as an increase in tortuosity. This paper presents a simple and reasonably accurate algorithm to classify a vessel as abnormal or not through determining a set of features. A new set of features is proposed in this paper for reliable detection of vascular changes. The proposed method uses One Class SVM (OC-SVM), commonly used for anomaly detection. The reason of using OC-SVM is that the ratio of tortuous vessels as compared to normal ones is very low and they mostly appear as anomaly when compared with normal vessels. A local dataset of 100 fundus images is used for evaluation. The dataset has normally extracted vessels, veins and arteries as ground truth and also contains annotation with respect to vessel tortuosity. The experiments are conducted by randomly dividing data into 60 percent for training and 40 percent for testing. The experiments are repeated 10 times and average results are reported. The results show that the proposed system provides an efficient non-invasive technique to detect tortuous vessels and an important step towards detecting IRMA.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727342","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: 2