{"title":"K-Space Based Free-Breathing Abdominal Water/Fat Separation and Simultaneous R2* Estimation","authors":"Xi Chen, S. Li, Yiping P. Du","doi":"10.1145/3301879.3301884","DOIUrl":"https://doi.org/10.1145/3301879.3301884","url":null,"abstract":"Chemical shift based water/fat separation techniques require multiecho data acquired at different echo times (TEs) to reconstruct a water-only image and a fat-only image, which prolongs the acquisition time inherently. However, conventional abdominal imaging with Cartesian sampling is generally performed during breath-holding to avoid respiratory motion artifact, so the achievable resolution and anatomic coverage of abdominal water/fat separation are limited with typical scan duration of 15-20 sec. This work presents a method for free-breathing abdominal water/fat separation to eliminate the scan time limit and the requirement on patient compliance. To achieve this, the motion-robust radial stack-of-stars 3D gradient echo sequence is used for multiecho acquisition. Different from conventional image based water/fat separation, k-space based water/fat separation which is more suitable for non-Cartesian sampling is used in this work. Chemical shift artifact correction is achieved by modeling the phase accumulation along readout direction in k-space caused by the off-resonance of fat. By modifying the notion of \"field map\" into \"complex field map\", simultaneous R2* estimation is also achieved. Phantom study demonstrates the feasibility of R2* estimation by comparison with the result of T2*-IDEAL method. Results of preliminary in vivo study on healthy volunteers including thigh, knee and abdominal imaging are also shown.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773608","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 Osteoblastic Differentiation Using Graphene Oxide Coating on Anodized Titanium","authors":"Pichayada Techaniyom, S. Sirivisoot","doi":"10.1145/3301879.3301888","DOIUrl":"https://doi.org/10.1145/3301879.3301888","url":null,"abstract":"The aim of this study is to improve bone ingrowth and efficiency of orthopedic implants using anodized titanium and graphene oxide coating. Calcium mineralization from MC3T3-E1 pre-osteoblasts (bone-forming cells) on a modified surface of titanium by anodization and electrodeposition of graphene oxide was investigated. Not only graphene oxide coating improves biocompatibility and corrosion resistance, but also anodization of titanium eliminates residuals and reduces the releasing of metal ions. The effects of both surface modifications to calcium deposition and osteopontin expression by osteoblasts were evaluated in this study. Calcium deposited during osteoblast differentiation were observed with alizarin red S (ARS) staining after MC3T3-E1 cells were cultured on polystyrene (PS), graphene oxide coating on polystyrene (GO), anodized titanium (ATi), and graphene oxide coating on anodized titanium (ATiGO) for 14 and 21 days. The concentration of ARS dye was significantly increased when cells were cultured for 21 days onto ATiGO when compared with ATi. Moreover, osteopontin expression was detected with an indirect immunofluorescence staining using flow cytometer after MC3T3-E1 cells were cultured on the samples for 14 days. A relative fluorescence intensity (RFI) of osteopontin in MC3T3-E1 cells on ATiGO was significantly more than that on PS and GO. The results in this study showed that ATiGO increased calcium deposition by and osteopontin expression in osteoblasts, indicating bone formation on the samples.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125326561","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":"FPGA-Based Plant Identification Through Leaf Veins","authors":"N. Linsangan, Rodrigo S. Pangantihon","doi":"10.1145/3301879.3301905","DOIUrl":"https://doi.org/10.1145/3301879.3301905","url":null,"abstract":"Identifying and understanding numerous plant species is of utmost importance not only to botanists but also to non-professionals so that they will be able to recognize its name and characteristics. This study is focusing on plant identification with the use of field-programmable gate array (FPGA) device Altera DE1-SoC Cyclone V platform. An openly accessible high-level synthesis (HLS) tool was used to perform image classification of plants leaf using the convolutional neural network (CNN) based on the technology called OpenCL. A total of fifty plants with five leaf samples per plant were being trained using Caffe. The system has yielded an accuracy rate of 88.68% with the aid of a confusion matrix tool.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116243435","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":"Effect of Education on Improvement of Attitude to Generic Drugs, an Experimental Study to In-Patient at Aloei Saboe Hospital in Gorontalo City, Indonesia","authors":"Zulfiayu Sapiun, Nangsih Sulastri Slamet, Yos Banne, Fadli Husain","doi":"10.1145/3301879.3301906","DOIUrl":"https://doi.org/10.1145/3301879.3301906","url":null,"abstract":"Objective: The objectives of this research was to observe the effect of education and information on the alteration of in-patient's knowledge, perception, and attitude to the generic drug. Methods: An experimental study was conducted with a simple random sampling with a total sample of 45 people. They divided into three group, first group educated by the nurse, second group by the pharmacist, and third group by collaboration of nurse and pharmacist. The data were analyzed with Wilcoxon Sign Rank Test to verify the alteration. Results: The results of data analyze showed a significant alteration of knowledge, perception, and attitude before and after education by the nurse, by the pharmacist and by the collaboration of nurse and pharmacist (the value of p ≤ 0.05). There was no significant difference level of perception and attitude on in-patient whom educated by pharmacist, nurse, and collaboration of nurse and pharmacist. The significant difference showed on in-patient's knowledge that educated by pharmacist and collaboration of them (p-value 0.025). Conclusion: The results indicated that there was a significantly increased level of knowledge, perception, and attitude on the in-patient that have been educated about the generic drug. Education by nurse, pharmacist, and collaboration of nurse and pharmacist had the same result to increase the level of perception and attitude of the generic drug, but the best method used to increased knowledge was done by the pharmacist.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"330 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124657866","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":"Correlation Analysis of the Relationship Between Mitral Valve Prolapse and Panic Disorder","authors":"Y. Lai, Feng-Feng Huang, P. Chiou","doi":"10.1145/3301879.3301886","DOIUrl":"https://doi.org/10.1145/3301879.3301886","url":null,"abstract":"Mitral valve prolapse is the most common heart disease, and panic disorder is a common chronic mental illness. The symptoms of panic disorder are similar with those of mitral valve prolapse, and therefore misdiagnoses often occur. The purpose of this study is to explore the relationship between mitral valve prolapse and panic disorder with the data from Taiwan's National Health Insurance Research Database (NHIRD). There were 15,350 patients of mitral valve prolapse, and 587,735 patients without mitral valve prolapse in this study between 1998 and 2010. Cox-proportional model was used to analyze the association between mitral valve prolapse and panic disorder. This study found that patients with mitral valve prolapse were 1.92 times more likely to have panic disorder than patients without it. Therefore, patients with mitral valve prolapse have a higher risk of panic disorder. As for gender difference, male patients were 0.6183 times more likely to have panic disorder than female patients. It is also found that every one year increase in age increases the risk of illness by 1.0159 times. It is hoped that through the results of this study, patients with mitral valve prolapse will have better care, proper relief, and better quality of life.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114346787","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":"Massive Colonoscopy Images Oriented Polyp Detection","authors":"Ming Chen, Peng Du, D. Zhang","doi":"10.1145/3301879.3301903","DOIUrl":"https://doi.org/10.1145/3301879.3301903","url":null,"abstract":"Since more than 90% of colorectal cancers are converted from colorectal polyps, colonoscopy is the most effective method for early detection of colorectal polyps. However, artificial polyp judgement leads to a high missed diagnosis rate during colonoscopy inspection. To reduce the missed diagnosis rate, we propose an end-to-end deep learning based polyp detection method combining a series of pretreatment methods with a multiple classification based detection network. We have compared our method with several currently popular object detection methods. Experiment results show that our method has effective improvements on detection precision and performance.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"62 Pt B 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122876282","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 Methodical Approach to Epileptic Classification with Multi-Scale Patterns","authors":"Xiao-Hong Wei, Yi Zhou","doi":"10.1145/3301879.3301882","DOIUrl":"https://doi.org/10.1145/3301879.3301882","url":null,"abstract":"The life cycle of epileptic patients alternates between inter-ictal and ictal stage, visual inspection and analysis is often used in seizure detection and diagnosis clinically, which is time consuming and error-prone. Modern computer technology shows that different stages of epileptic seizure can be classified by machine learning and pattern recognition. The main work of this paper proposed an automatic seizure detection approach methodically. First the EEG signals were decomposed into respective brain rhythms waves, then the Hurst index were used as features to design discriminative classifiers to classify inter-ictal and ictal EEG segments. The performance of the model was evaluated on the public and private datasets. The results revealed the good accuracy. Thus, this paper may serve as a benchmark in seizure detection procedure and advance the classification accuracy of a seizure.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134456090","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":"SCRFD: Spatial Coherence Based Rib Fracture Detection","authors":"Ming Chen, Peng Du, Jieyi Zhao","doi":"10.1145/3301879.3301889","DOIUrl":"https://doi.org/10.1145/3301879.3301889","url":null,"abstract":"Rib fracture is a very common type of chest injury. Currently, the diagnosis of rib fracture is usually performed by chest CT. Due to the large number of chest CT slices, the diagnosis is very time- consuming. Especially for the detection of non-displaced fractures with very fine fracture locations and multiple fractures in the same patient's ribs, the missed diagnosis rate is still very high. To improve the detection precision, we propose a spatial coherence based rib fracture detection method, first we employ a novel feature extraction method to extract the rib region from CT slice, followed by a novel spatial coherence based convolutional neural network to recognize whether fracture occurs in the rib region. We have compared our method with currently popular object detection method. Experiment results show that our method has drastically improvements on precision and performance over previous methods.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806438","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}
L. Davydova, N. Sanina, S. Bakholdina, A. Stenkova, A. Zabolotnaya
{"title":"Effect of Adaptive Changes of Lysophosphatidylethanolamine Content on Ampicillin Resistance of Yersinia Pseudotuberculosis","authors":"L. Davydova, N. Sanina, S. Bakholdina, A. Stenkova, A. Zabolotnaya","doi":"10.1145/3301879.3301901","DOIUrl":"https://doi.org/10.1145/3301879.3301901","url":null,"abstract":"Most antibiotics are targeted at intracellular processes. Therefore, their effects are determined by an ability to penetrate bacterial membranes. Mechanism of reducing permeability of porin channels in Gram-negative bacteria is the least known one among the possible reasons of antibiotic resistance. The adaptive accumulation of lysophosphatidylethanolamine (LPE), which is observed under conditions typical for the parasitic phase (in particular, the availability of glucose) of Gram-negative bacteria Yersinia pseudotuberculsis is accompanied by rearrangements in conformation of outer membrane protein OmpF that may impede the porin channel permeability for ß-lactam antibiotics. In present study, we report that adaptive accumulation of LPE in membranes of Y. pseudotuberculosis grown in the presence of glucose reduces antibacterial effect of ampicillin. In turn, polyphenol extract from buckwheat husks (PEBH) induces both the decrease in the level of LPE and resistance of bacteria to ampicillin. Therefore, PEBH acts synergistically with ampicillin in vivo by lowering its MICs and therefore can be used as antibiotic adjuvant to improve an antibiotic's ability to cross the outer membrane. These results showed that strategies for regulation of adaptive changes in lipid matrix of bacterial membranes is a new potentially effective way to increase the sensitivity of pathogens to known antibiotics.","PeriodicalId":327934,"journal":{"name":"International Conferences on Biomedical and Bioinformatics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130512902","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}