2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)最新文献_第7页

A hybrid segmentation approach for rapid and reliable liver volumetric analysis in daily clinical practice 一种在日常临床实践中快速可靠的肝脏体积分析的混合分割方法

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367715

Zygomalas Apollon, Karavias Dionissios, Koutsouris Dimitrios, Maroulis Ioannis, Karavias D. Dimitrios, Giokas Konstantinos, Megalooikonomou Vasileios

{"title":"A hybrid segmentation approach for rapid and reliable liver volumetric analysis in daily clinical practice","authors":"Zygomalas Apollon, Karavias Dionissios, Koutsouris Dimitrios, Maroulis Ioannis, Karavias D. Dimitrios, Giokas Konstantinos, Megalooikonomou Vasileios","doi":"10.1109/BIBE.2015.7367715","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367715","url":null,"abstract":"Preoperative evaluation of liver future remnant volume is essential for liver oncologic and transplantation surgery. Segmentation of liver imaging studies allow for an excellent liver volumetric analysis. We developed a hybrid liver segmentation algorithm which is based on thresholding by pixel intensity value. The algorithm consists of a semiautomatic and an automatic part. The aim of this prospective study was to evaluate the efficacy of preoperative liver volumetric analysis in daily clinical practice using this hybrid approach. Accuracy and speed were validated on a random prospectively selected sample of 20 patients undergoing elective major liver resections at our institution from June 2013 to June 2015. Complete liver volumetric analysis was performed in average in 15.5 min/dataset SD±2.6 (computation and interaction time). Mean similarity index was 95.5% SD±2. The future liver remnant volume calculated by the application showed a correlation of 0.98 to that calculated using manual boundary tracing. The hybrid segmentation approach proved to be fast and accurate for the preoperative planning in oncologic liver surgery.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"124 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121470572","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

Hybrid intelligent methods for microarray data analysis 微阵列数据分析的混合智能方法

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367704

P. Ganeshkumar, Ku-Jin Kim

引用次数: 0

Axial vibration of an artificial muscle 人造肌肉的轴向振动

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367634

L. Cvetićanin, I. Bíró, J. Sárosi, M. Zukovic

{"title":"Axial vibration of an artificial muscle","authors":"L. Cvetićanin, I. Bíró, J. Sárosi, M. Zukovic","doi":"10.1109/BIBE.2015.7367634","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367634","url":null,"abstract":"Significant number of muscles can be assumed to be of longitudinal type where the length is much higher than its cross-section. Usual motion of the longitudinal muscles is axial due to its contraction and dilatation. Our aim is to investigate the axial vibration of such muscles. The artificial muscle is formed whose physical model is a clamped-free beam. Characteristics of the muscle material are obtained experimentally and the data are applied for the rheological model. It is obvious that the stress-strain properties are strong nonlinear. The beam is assumed to be fixed at one end and free for axial motion at the other end. Mathematical model of motion is supposed as a partial truly strong nonlinear differential equation. In the paper an analytical procedure for approximate solving of the equation is developed. Using a suitable transformation the equation is rewritten into two strong nonlinear ordinary second order differential equations. Analyzing the solution, the influence of the geometric properties, but also of material properties and boundary conditions on the motion is considered. Special attention is given to frequency of vibration of the beam. Effect of the order of nonlinearity and of the initial conditions on the frequencies is widely analyzed.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127050665","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: 1

Classification of epileptic and non-epileptic events using tensor decomposition 用张量分解对癫痫和非癫痫事件进行分类

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367731

V. G. Kanas, E. Zacharaki, Evangelia Pippa, Vasiliki Tsirka, M. Koutroumanidis, V. Megalooikonomou

{"title":"Classification of epileptic and non-epileptic events using tensor decomposition","authors":"V. G. Kanas, E. Zacharaki, Evangelia Pippa, Vasiliki Tsirka, M. Koutroumanidis, V. Megalooikonomou","doi":"10.1109/BIBE.2015.7367731","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367731","url":null,"abstract":"Misdiagnosis of epilepsy, even by experienced clinicians, can cause exposure of patients to medical procedures and treatments with potential complications. Moreover, diagnostic delays (for 7 to 10 years on average) impose economic burden at individual and population levels. In this paper, a seizure classification framework of epileptic and non-epileptic events from multi-channel EEG data is proposed. In contrast to relevant studies found in the literature, in this study, the non-epileptic class consists of two types of paroxysmal episodes of loss of consciousness, namely the psychogenic non-epileptic seizure (PNES) and the vasovagal syncope (VVS). EEG signals are represented in the spectral-spatial-temporal domain. A tensor-based approach is employed to extract signature features to feed the classification models. TUCKER decomposition is applied to learn the essence of original, high-dimensional domain of feature space and extract a multilinear discriminative subspace. The classification models were evaluated on EEG epochs from 11 subjects in an inter-subject cross-validation setting and achieved an accuracy of 96%.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121331906","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

Assessment of bone stress intensity factor using artificial neural networks 基于人工神经网络的骨应力强度因子评估

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367680

A. Vukicevic, G. Jovicic, N. Jovicic, Z. Milosevic, N. Filipovic

引用次数: 2

A mathematical model of a novel automated medical device for needle insertions 一种新型自动插针医疗装置的数学模型

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367697

Ivan Buzurovic, S. Šalinić

引用次数: 1

Effects of ruptured anterior cruciate ligament and medial meniscectomy on stress distribution of human knee joint at full extension 前交叉韧带断裂和内侧半月板切除术对膝关节完全伸展时应力分布的影响

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367650

Aleksandra Vulovic, N. Filipovic, B. Ristic

引用次数: 3

Fluid-structure interaction analysis of anastomosis in patient specific arterial segment 患者特定动脉段吻合的流固耦合分析

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367679

G. Karanasiou, Dimitrios A. Gatsios, M. Lykissas, K. Stefanou, G. Rigas, I. Lagaris, Ioannis P. Kostas-Agnantis, I. Gkiatas, A. Beris, A. Sakellarios, D. Fotiadis

引用次数: 1

Employing phenomenological model in load-balancing optimization of parallel multi-scale muscle simulations 利用现象学模型进行并行多尺度肌肉仿真负载平衡优化

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367673

A. Kaplarevic-Malisic, M. Ivanovic, B. Stojanovic, M. Svicevic, Darko B. Antonijevic

{"title":"Employing phenomenological model in load-balancing optimization of parallel multi-scale muscle simulations","authors":"A. Kaplarevic-Malisic, M. Ivanovic, B. Stojanovic, M. Svicevic, Darko B. Antonijevic","doi":"10.1109/BIBE.2015.7367673","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367673","url":null,"abstract":"Since multi-scale models of muscles rely on the integration of physical and biochemical properties across multiple length and time scales, these models are highly CPU consuming and memory intensive. Therefore, their practical implementation and usage in real-world applications is limited by their high requirements for computational power. There are various reported solutions to the problems of the distributed computation of the complex systems that could also be applied to the multi-scale muscle simulations. In this paper, we present a novel load balancing method for parallel multi-scale muscle simulations on distributed computing resources. The method uses data obtained from simple Hill phenomenological model in order to predict computational weights of the integration points within the multi-scale model. Using obtained weights it is possible to improve domain decomposition prior to multi-scale simulation run and consequently significantly reduce computational time. The method is applied to two-scale muscle model where a finite element (FE) macro model is coupled with Huxley's model of cross-bridge kinetics on the microscopic level. The massive parallel solution is based on decomposition of micro model domain and static scheduling policy. It was verified on real-world example, showing high utilization of all involved CPUs and ensuring high scalability, thanks to the novel scheduling approach. Performance analysis clearly shown that inclusion of complexities prediction in reducing the execution time of parallel run by about 40% compared to the same model with scheduler that assumes equal complexities of all micro models.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134325800","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 information-theoretic approach to detect gene-gene interactions in case-control studies 一种新的信息论方法在病例对照研究中检测基因-基因相互作用

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI: 10.1109/BIBE.2015.7367739

Xiangdong Zhou, Keith C. C. Chan

引用次数: 0