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2012 Cairo International Biomedical Engineering Conference (CIBEC)最新文献

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Accurate analysis of cardiac tagged MRI using combined HARP and optical flow tracking 结合HARP和光流跟踪对心脏标记MRI进行精确分析
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473313
Ahmed H. Dallal, A. Khalifa, Ahmed S. Fahmy
{"title":"Accurate analysis of cardiac tagged MRI using combined HARP and optical flow tracking","authors":"Ahmed H. Dallal, A. Khalifa, Ahmed S. Fahmy","doi":"10.1109/CIBEC.2012.6473313","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473313","url":null,"abstract":"In this work, we present a new method for analyzing cardiac tagged Magnetic Resonance Imaging (tMRI). The method combines two major tracking techniques: Harmonic Phase (HARP) and Optical Flow (OF). The results of the two techniques are fused together to accurately estimate the displacement of each myocardium point. The developed methods were tested using numerical MRI phantom at different SNR levels and deformation rates. The results show that the proposed method is more accurate and reliable than the HARP and the OF methods.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115532850","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: 3
A new clutter rejection technique for Doppler ultrasound signal based on principal and independent component analyses 基于主分量和独立分量分析的多普勒超声信号杂波抑制新技术
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473338
S. M. S. Zobly, Y. Kadah
{"title":"A new clutter rejection technique for Doppler ultrasound signal based on principal and independent component analyses","authors":"S. M. S. Zobly, Y. Kadah","doi":"10.1109/CIBEC.2012.6473338","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473338","url":null,"abstract":"Doppler ultrasound is widely used diagnostic tool for measuring and detecting blood flow. To get a Doppler ultrasound spectrum image with a good quality, the clutter signals generated from stationary and slowly moving tissue must be removed completely. Without enough clutter rejection, low velocity blood flow cannot be measured, and estimates of higher velocities will have a large bias. Usually finite impulse response FIR, infinite impulse response IIR and polynomial regression PR filters were used for cluttering. In this paper we proposed a new clutter rejection based on principal component analysis (PCA) and independent component analysis (ICA). The proposed clutter rejection method presentation is quantified in simulated FR Doppler data beside real Doppler data. The result shows that the proposed method gives better clutter rejection.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130389183","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: 3
Blind deconvolution of EEG signals using the stochastic calculus 基于随机演算的脑电信号盲反卷积
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473319
A. Abutaleb, A. Fawzy, K. Sayed
{"title":"Blind deconvolution of EEG signals using the stochastic calculus","authors":"A. Abutaleb, A. Fawzy, K. Sayed","doi":"10.1109/CIBEC.2012.6473319","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473319","url":null,"abstract":"A new tool, in the blind deconvolution, for the estimation of both the source signals and the unknown channel dynamics has been developed. The framework for this methodology is based on a multi-channel blind deconvolution technique that has been reformulated to use Stochastic Calculus. The convolution processes is modeled as Finite Impulse Response (FIR) filters with unknown coefficients. Assuming that one of the FIR filter coefficients is time-varying, we have been able to get accurate estimation results for the source signals, even though the filter order is unknown. The time-varying filter coefficient was assumed to be a stochastic process. A stochastic differential equation (SDE), with some unknown parameters, was developed that described its evolution over time. The SDE parameters have been estimated using methods in stochastic calculus. The method was applied to the problem of two chatting persons and the problem of EEG contaminated by EOG. Comparisons to existing methods are also reported.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124218947","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
Orthogonal matching pursuit & compressive sampling matching pursuit for Doppler ultrasound signal reconstruction 多普勒超声信号重构中的正交匹配追踪与压缩采样匹配追踪
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473336
S. M. S. Zobly, Y. Kadah
{"title":"Orthogonal matching pursuit & compressive sampling matching pursuit for Doppler ultrasound signal reconstruction","authors":"S. M. S. Zobly, Y. Kadah","doi":"10.1109/CIBEC.2012.6473336","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473336","url":null,"abstract":"In this work we want to make use of a novel framework of compressed sensing (CS) sampling theory to reconstruct the Doppler ultrasound signal. CS aim to reconstruct signals and images from significantly fewer measurements. Doppler ultrasound is one of the most non-invasive diagnostic techniques. The present data acquisition methods use much data to acquire the image, this cause in increasing the process time and heating. To overcome this limitation we propose a framework of CS. The result shows that the reconstruction performed perfectly with high quality in very short time, by using two CS reconstruction algorithms, orthogonal matching pursuit and compressive sampling matching pursuit algorithms. There is no significant difference in the quality of the resulting images reconstructed by using both reconstruction algorithms.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123337478","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: 14
High performance CUDA-based implementation for the 2D version of the Maximum Subarray Problem (MSP) 基于cuda的2D版本最大子阵列问题(MSP)的高性能实现
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473291
Salah Saleh, Marwan Abdellah, Ahmed A. Abdel Raouf, Y. Kadah
{"title":"High performance CUDA-based implementation for the 2D version of the Maximum Subarray Problem (MSP)","authors":"Salah Saleh, Marwan Abdellah, Ahmed A. Abdel Raouf, Y. Kadah","doi":"10.1109/CIBEC.2012.6473291","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473291","url":null,"abstract":"The Maximum Subarray Problem (MSP) finds a segment of an array that has the maximum summation over all the other possible combinations. Different applications for this problem exist in various fields like genomic sequence analysis, data mining and computer vision. Several optimum linear-time solutions exist for the 1D version, however, the known upper bounds for the 2D version are cubic or near-cubic time; which makes it a problem of high complexity. In this work, a stage by stage high performance Graphics Processing Unit (GPU)-based implementation for solving the 2D version of the problem in a linear time relying on the Compute Unified Device Architecture (CUDA) technology is presented. It achieves more than 7X of speedup in performance compared to a single-threaded sequential implementation on the Central Processing Unit (CPU) for an array of size 5122.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126246551","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: 4
Spectral subtraction de-noising of MRI 磁共振成像的谱减去噪
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473325
M. Erturk, P. Bottomley, A. El-Sharkawy
{"title":"Spectral subtraction de-noising of MRI","authors":"M. Erturk, P. Bottomley, A. El-Sharkawy","doi":"10.1109/CIBEC.2012.6473325","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473325","url":null,"abstract":"De-noising techniques can improve the signal to noise ratio (SNR), and quality of magnetic resonance (MR) images. In this work, we introduce a spectral subtraction de-noising (SSD) method that operates directly on the acquired raw MR signals and then we reconstruct images using the de-noised signals to improve the SNR. MR images acquired using coil arrays and reconstructed using parallel imaging techniques exhibit spatially varying noise distribution, which hampers the performance of image de-noising techniques applied in the image domain. The proposed SSD method is applied in the k-space (Fourier) domain of each of the individual coil array elements and is thus not affected by non-uniform noise distribution. Using numerical simulations and experimental data, we show that up to 45% improvements in SNR in both single and multi-channel coil data can be achieved.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130058446","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
Personal identification system based on vascular pattern of human retina 基于视网膜血管形态的身份识别系统
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473297
S. Qamber, Z. Waheed, M. Akram
{"title":"Personal identification system based on vascular pattern of human retina","authors":"S. Qamber, Z. Waheed, M. Akram","doi":"10.1109/CIBEC.2012.6473297","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473297","url":null,"abstract":"Biometrics are the personal physiological and behavioral characteristics which are mostly used for personal recognition. Today, biometric based security systems such as fingerprint, iris and face recognition are used everywhere especially in high security areas. Human retina is another source of biometric system which provides the most reliable and stable means of authentication. In this paper, we present a system for recognition based on vascular pattern of human retina. The proposed algorithm consists of three stages; i.e. preprocessing, feature extraction and finally the matching process. In preprocessing, it extracts the vascular pattern from input retinal image and then it formulates the feature vector in feature extraction stage followed by vascular matching. The proposed method is tested on publicly available databases and experimental results show that the proposed method achieves high accuracies for vascular pattern extraction and matching.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157160","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: 32
A computer aided system for grading of maculopathy 黄斑病变分级的计算机辅助系统
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473318
A. Tariq, M. Akram, A. Shaukat, S. Khan
{"title":"A computer aided system for grading of maculopathy","authors":"A. Tariq, M. Akram, A. Shaukat, S. Khan","doi":"10.1109/CIBEC.2012.6473318","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473318","url":null,"abstract":"In medical imaging, digital images are analyzed to develop computer aided diagnostic (CAD) systems using state of the art image processing and pattern recognition techniques. Diabetic maculopathy is one of the retinal abnormalities in which diabetic patient suffers from severe vision loss due to affected macula. In this paper, we propose an automated system for the grading of diabetic maculopathy to assist the ophthalmologists in early detection of the disease. We present a three stage system consisting of macula detection, exudate extraction and grading of maculopathy. First stage uses optic disc and blood vessels to extract macula from retinal image. Exudate extraction stage extracts all possible exudates from retina using filter bank and support vector machines. Finally, the system grades the input image in different stages of maculopathy by using the macular coordinates and exudate feature set. The evaluation of proposed system is performed by using publicly available standard retinal image databases.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124284118","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: 11
3D automated colon segmentation for efficient polyp detection 3D自动结肠分割有效的息肉检测
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473334
M. Ismail, S. Elhabian, A. Farag, G. Dryden, A. Seow
{"title":"3D automated colon segmentation for efficient polyp detection","authors":"M. Ismail, S. Elhabian, A. Farag, G. Dryden, A. Seow","doi":"10.1109/CIBEC.2012.6473334","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473334","url":null,"abstract":"With polyps being the main cause of colorectal cancer, accurate colon segmentation is a crucial step for polyp detection in a virtual colonoscopy system. This paper presents a fully automated segmentation framework for the colon which is based on convex formulation of the active contour model. Our approach is tested on 7 sets where the results are further validated for polyp detection. Results show the efficiency of the framework with an overall accuracy of 99%, and high sensitivity of polyp detection.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823079","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: 4
Small-size lung nodule modeling and detection with clinical evaluation 肺小结节建模、检测及临床评价
2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI: 10.1109/CIBEC.2012.6473332
A. Farag, J. Graham, H. Abdelmunim, S. Elshazly, M. Ei-Mogy, S. Ei-Mogy, R. Falk, A. Farag
{"title":"Small-size lung nodule modeling and detection with clinical evaluation","authors":"A. Farag, J. Graham, H. Abdelmunim, S. Elshazly, M. Ei-Mogy, S. Ei-Mogy, R. Falk, A. Farag","doi":"10.1109/CIBEC.2012.6473332","DOIUrl":"https://doi.org/10.1109/CIBEC.2012.6473332","url":null,"abstract":"In this paper examination of the template modeling process using the Active Appearance Modeling (AAM) approach for automatic detection of lung nodules is investigated. A template matching approach is formulated to compute a similarity score between the AAM templates and the input lung CT slice, where the goal is to maximize the similarity measure at different image pixels to increase nodule detection. The template matching approach is implemented using nine similarity measures. Performance validation for the robustness of the generated models is tested on three clinical databases.","PeriodicalId":416740,"journal":{"name":"2012 Cairo International Biomedical Engineering Conference (CIBEC)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130449873","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: 4
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