{"title":"Operating Room of the Future Orthopedic Perspective","authors":"M. Mahfouz","doi":"10.1109/CIBEC.2008.4786072","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786072","url":null,"abstract":"The complexity of orthopedic procedures has mounted with increasing numbers of minimally invasive surgeries. Lack of optimal patient outcomes persist despite new techniques and improved implants. While improved training for physicians can enhance patient outcomes, computer assisted surgery (CAS) has the capability to provide even greater benefits to the patient by increasing control and repeatability. Cutting edge technology fused with new computerized techniques facilitates a full cycle of implant design and development by providing surgical preplanning and intraoperative guidance followed by post-operative gait analysis. In the pre-operative phase, these technologies can reconstruct patient specific bone models, automate cutting plane placement, and highlight anatomical abnormalities. In the intra-operative phase, the state-of-the-art CAS systems virtualize surgical protocols, provide real-time hyper-resolution micro-sensor feedback in ligament balancing, and wireless navigation guidance. Finally, in post-operative scenarios, disruptive technologies enable improved implant design through acquisition and analysis of 3D kinematic gait lab data. By introducing novel technologies and advanced computerized methods into the operating room (OR), the next generation of CAS systems will further surgeons' ability to control positive patient outcomes.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"27 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120910254","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":"Constructing Suffix Array During Decompression","authors":"M. Mahmoud, M. Abouelhoda, A. Kandil, A. Elbialy","doi":"10.1109/CIBEC.2008.4786040","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786040","url":null,"abstract":"The suffix array is an indexing data structure used in a wide range of applications in Bioinformatics. Biological DNA sequences are available to download from public servers in the form of compressed files, where the popular lossless compression program gzip [1] is employed. The straightforward method to construct the suffix array for this data involves decompressing the sequence file, storing it on disk, and then calling a suffix array construction program to build the suffix array. This scenario, albeit feasible, requires disk access and throws away valuable information in the compressed file. In this paper, we present an algorithm that constructs the suffix array during the decompression requiring no disk access and making use of the decompression information to construct the suffix array.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"107 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":"131829844","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":"A New Method for Data Acquisition and Image Reconstruction in Parallel Magnetic Resonance Imaging","authors":"H. M. Ahmed, R. Gabr, Y. Kadah, A. Youssef","doi":"10.1109/CIBEC.2008.4786092","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786092","url":null,"abstract":"We propose a novel data acquisition and image reconstruction method for parallel magnetic resonance imaging (MRI). The proposed method improves the GRAPPA (Generalized Auto-calibrating Partially Parallel Acquisitions) method by simultaneously collecting data using the body coil in addition to localized surface coils. The body coil data is included in the GRAPPA reconstruction as an additional coil. The reconstructed body coil image shows greater uniformity over the field of view than the conventional sum-of-squares reconstruction that is conventionally used with GRAPPA. The body coil image can also be used to correct for spatial inhomogeneity in the sum-of-squares image. The proposed method is tested using numerical and real MRI phantom data.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"1 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":"130353983","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":"Novel Computational Apoptosis-Neurogenesis Model for Multi-Abstraction Level Perception","authors":"A. Zaher, F. Aboul-Makarem, Y. Kadah","doi":"10.1109/CIBEC.2008.4786113","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786113","url":null,"abstract":"Artificial neural network provides a cybernetic model that is similar to human intelligence in terms of parallel processing, generalization and memory stacking on the same neural network. From the era of neurogenesis, research models expect the rules that govern new neuron to depend on old mature circuitry. Other research models show the existence of catastrophic interference associated with new neurons if species is exposed to variable information content environment. In this work, the model developed provides a theoretical framework for a novel attention sensitive neural network as well as an experimental framework revealing the addition of new neuron can be prevented from catastrophic interference phenomena if it undergoes certain structural processes in human brain.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"57 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":"123097718","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}
V. Curcin, M. Ghanem, M. Molokhia, Y. Guo, J. Darlington
{"title":"Mining Adverse Drug Reactions with E-Science Workflows","authors":"V. Curcin, M. Ghanem, M. Molokhia, Y. Guo, J. Darlington","doi":"10.1109/CIBEC.2008.4786100","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786100","url":null,"abstract":"In this paper, we describe the challenges faced when conducting large-scale adverse drug reaction (ADR) studies by mining large-scale primary care databases. We provide a high-level view of the design of a generic informatics infrastructure that is needed to address such challenges. We also present our realization of such an infrastructure using a re-usable workflow-based e-Science middleware, and describe our experiences using the system based on studying the risks associated of statin induced myopathy and myalgia from UK-based data sources.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"8 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":"123835673","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":"Semi-Supervised Classification of Speaker's Psychological Stress","authors":"S. Torabi, F. Almasganj, A. Mohammadian","doi":"10.1109/CIBEC.2008.4786093","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786093","url":null,"abstract":"It is well known that speech signal is affected by speaker's stress. Some of the recent works have evaluated different acoustic features individually for the detection of stress from speech. In our previous work, a new mixed feature (TEO-Pch-LFPC) was proposed for this purpose. Here, this feature is evaluated for the task of stress classification using simulated domain of SUSAS database. Although, we have used more simple classifiers than HMM, and the Round Robin Method is exerted, the classification accuracy rates are improved. Also, we present a semi-supervised approach which can efficiently employ unlabeled data in the structure of supervised classifiers. Experiments using this method result in greater classification rates with the same labeled data set.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"21 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":"126127060","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":"Cross Correlation based Inter-Transaction Association Rule Mining Technique","authors":"A. M. Ghanem, B. Tawfik, M. I. Owis","doi":"10.1109/CIBEC.2008.4786036","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786036","url":null,"abstract":"Several algorithms have been proposed to solve the problem of mining frequent inter-transaction item set. However, the low efficiency of support calculation for inter-transaction itemsets is still a challenging problem that eliminates the performance of mining algorithms. This paper provides inter-transaction association rule mining algorithm using effective technique for support calculations. The proposed technique is based on cross correlation and bitwise operations. The experimental results show a significant improvement of performance up to several orders of magnitude compared to First Intra Then Inter (FITI) algorithm.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"100 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":"128882531","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":"Harmonic Mapping of Intracranial Aneurysm Surfaces","authors":"A. Mohamed, Chenyang Xu, L. Jou, M. Mawad","doi":"10.1109/CIBEC.2008.4786083","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786083","url":null,"abstract":"We describe an approach for harmonic surface mapping of blood vessel aneurysms into a topologically equivalent canonical space. We use this approach to map and visualize local hemodynamic variables associated with the surface of sidewall internal carotid artery aneurysms (ICA) imaged by 3D X-ray angiography. These variables are derived from steady-state computational fluid dynamic simulations. An invertible harmonic map of the aneurysm surface onto the unit disc allows visual inspection of the entire surface and associated quantities at once, unobscured by shape irregularities. Results indicate that the developed approach is close to being conformal, thereby preserving local shape. This approach has applications in the generation of statistical atlases of aneurysms and in quantitative group studies of aneurysm development, growth, rupture, and treatment.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"2 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":"121326777","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":"Extracting Reliable Handwriting Kinematic Feauters by using Neural Network for Diagnosing Schizophrenia Disease","authors":"Mehdi Borjkhani, M. Ahmadlou, F. Towhidkhah","doi":"10.1109/CIBEC.2008.4786061","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786061","url":null,"abstract":"Schizophrenia (SZ) disease is a kind of severe and rather unknown brain disorder which about one percent of people of the world are affected by the disease. The patients face illusion and severe fear. After emerging the disease's symptoms, the usual way for recognizing the disease and its monitoring during the treatment is a computerized tomography (CT) scan of the brain. The problems like side effects, high cost and leak of high accessibility have caused that finding a new manner instead of the CT scan of brain is considered. Most symptoms found are related to movement (motor symptoms). In this paper, after collecting the data related to kinematic features of pen movements in handwritings of a group affected with Schizophrenia and another group of healthy persons, an artificial neural network (ANN) is used for classification. We discuss how a feed forward ANN can classify data more reliable than Artificial Immune Systems (AIS). Also using ANN the more reliable handwriting kinematic features are extracted for classification. The results show the efficiency of proposed method.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"56 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":"121329174","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":"Enhanced PIELG: A Protein Interaction Extraction System using a Link Grammar Parser from biomedical abstracts","authors":"Rania A. Abul Seoud, Y. Kadah","doi":"10.1109/CIBEC.2008.4786045","DOIUrl":"https://doi.org/10.1109/CIBEC.2008.4786045","url":null,"abstract":"Due to the ever growing amount of publications about protein-protein interactions, information extraction from text is increasingly recognized as one of crucial technologies in bioinformatics. This paper investigates the effect of adding a new module - Complex Sentence Processor (CSP) - to the PIELG system. PIELG is a Protein Interaction Extraction System using a Link Grammar Parser from biomedical abstracts (PIELG). PIELG uses linkage given by the Link Grammar Parser to start a case based analysis of contents of various syntactic roles as well as their linguistically significant and meaningful combinations. The system uses phrasal-prepositional verbs patterns to overcome preposition combinations problems. The recall and precision are enhanced to 49.33 % and 65.16 % respectively. Experimental evaluations with two other state-of-the-art extraction systems indicate that enhanced PIELG system achieves better performance. The result shows that the performance is remarkably promising.","PeriodicalId":319971,"journal":{"name":"2008 Cairo International Biomedical Engineering Conference","volume":"124 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":"121524600","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}