2017 21st National Biomedical Engineering Meeting (BIYOMUT)最新文献_第2页

Life Sciences Research Center and Data Management 生命科学研究中心与数据管理

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479197

F. Akal

引用次数: 0

Detection of Candidate Nodules in Lung Tomography by Image Processing Techniques 用图像处理技术检测肺断层扫描中的候选结节

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8478990

Enes Çakar, A. Türker, Emre Güleryüz, Ahmet Karaca

{"title":"Detection of Candidate Nodules in Lung Tomography by Image Processing Techniques","authors":"Enes Çakar, A. Türker, Emre Güleryüz, Ahmet Karaca","doi":"10.1109/BIYOMUT.2017.8478990","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8478990","url":null,"abstract":"In this project, the data set generated from the data of the National Cancer Institute (NCI) derived from DICOMformatted lung cancer data has been converted to PNG format to make it suitable for the operation of image processing algorithms. The converted data is filtered by a second-order median filter to prevent noise. A laplacian filter was applied to clarify the boundaries of the candidate nodules. The threshold must be determined according to the histogram value of each view. To select a different threshold for each image was subjected to the determination threshold Otsu method. In Otsu threshold selection method determines the point at which the minimum-class variance and between-class variance is a maximum, and determines the threshold value. In the availability of candidate nodules, nodule diameter is intended for detection of the large nodules than 2 mm. To meet this requirement, the Otsu thresholding method was applied on the MATLAB platform to sieve nodules smaller than 2 mm in diameter and candidate nodules were detected. By determining the morphological characteristics of the identified candidate nodules in MATLAB platform, candidate nodule; Major features such as area, major axis length, minor axis length, and perimeters are extracted. The boundaries of the identified candidate nodules are bounded by the edge detection algorithm and numerically ordered.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130958687","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

Surface Plasmon Florescence Spectroscopy Based Biosensor for Cholera Toxin Detection 基于表面等离子体荧光光谱的霍乱毒素检测生物传感器

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479292

A. Bozdogan, Sebnem Seherler, Tugba Arzu Ozal Ildeniz, I. Anac, F. N. Kok

引用次数: 1

Effects of Drive Field Parameters in Magnetic Particle Imaging: A Relaxometer Study 磁粒子成像中驱动场参数的影响:一个松弛计的研究

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8478888

Ecem Bozkurt, Mustafa Utkur, Yavuz Muslu, E. Saritas

引用次数: 0

Femtosecond Laser Ablated Tracks on Smart Surfaces for Droplet Manipulation Applications 飞秒激光烧蚀轨道在液滴操纵应用中的智能表面

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8478903

Zeeshan Rashid, U. C. Coskun, Y. Morova, B. Morova, A. A. Bozkurt, A. Erten, A. Jonáš, S. Aktürk, A. Kiraz

{"title":"Femtosecond Laser Ablated Tracks on Smart Surfaces for Droplet Manipulation Applications","authors":"Zeeshan Rashid, U. C. Coskun, Y. Morova, B. Morova, A. A. Bozkurt, A. Erten, A. Jonáš, S. Aktürk, A. Kiraz","doi":"10.1109/BIYOMUT.2017.8478903","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8478903","url":null,"abstract":"In droplet based microfluidics, ability of controlling the motion of the droplets insidechips have great importance for the applications such guiding, sorting, mixing and dividing of liquid droplets. In this study, we fabricated hydrophilic microchannels inside the chips by femtosecond laser ablation technique in order to control droplet motion. The laser beam focused on PDMS converts the irradiated regions to hydrophilic by ablating the coating entirely from the surface. Droplets follow the tracks because of the difference in wettability of ablated region and PDMS surfaces together with the topographical profile of the ablated tracks. Within this study, we investigated the manipulation of three kind of liquid droplets (water/surfactant mixture, pure water and pure etylene glycol) along microchannels with depths of 1μm, 1.5μm and 2μm. We verified the experimental results with simulations and analyzed the trajectories of the moving droplets with the different wettability along the tracks of different depths. Our results showed that, while topographical effects play role in droplet guiding for 1.5μm and 2μm tracks, for the case of 1μm depth of channel, surface energy modifications cause the guiding rather than the topographical step on the surface. These results will pioneer for sorting applications of different micro droplets mixed in the same microfluidic chip.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237547","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

Development of Artificial Neural Network Based Active Ankle Prosthesis Algorithm Using Gait Analysis Data 基于步态分析数据的人工神经网络主动踝关节假体算法研究

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8478881

A. Keleş, Can A. Yücesoy

{"title":"Development of Artificial Neural Network Based Active Ankle Prosthesis Algorithm Using Gait Analysis Data","authors":"A. Keleş, Can A. Yücesoy","doi":"10.1109/BIYOMUT.2017.8478881","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8478881","url":null,"abstract":"Amputation is the removal of a part or all of a limb due to a disease, accident or trauma. In the United States, an average of 500 people loses at least one limb every day, of which about 65% is due to lower limb amputations. Since energetically active prostheses are costly, amputees usually continue to their daily lives using a wheelchair or a passive prosthesis. The aim of this study is to determine the optimum sensor needs of active ankle prostheses and to develop algorithm suitable for this sensor infrastructure, thus a device that is both easy to use and financially accessible to anyone can be built up. In this context, three neural networks structures with different inputs were developed and their performances were evaluated. As a result, it is determined that if a device in which only EMG signals are used as network inputs, a total of 5 signals should be collected from muscles that are responsible for hip, knee and wrist movements. It has been found that, when it is wanted to work with less EMG sensors, it is necessary to perform a force or torque feedback into the system. Three EMG signals collected from the dorsi and plantar flexor muscles of the ankle were found to be sufficient for such a system. These findings are important in order to determine the amount of the sensor needed by an active ankle prosthesis whose requirements can be variable according to the amputation level of the patient and the mechanical design flexibility.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128279453","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

Ionic Electroactive Polymer Actuated Prosthetic Finger Design 离子电活性聚合物驱动假肢手指设计

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479103

A. Atasoy, Berkay Erenay, E. Kaplanoglu, B. Garipcan, Burak Guclu, M. Ozkan

引用次数: 0

Determination of Diffusion Weighted Magnetic Resonance Imaging Based Biomarkers of Mild Cognitive Impairment in Parkinson’s Disease 基于扩散加权磁共振成像的帕金森病轻度认知障碍生物标志物测定

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479249

Ozge Can Kaplan, Dilek Betul Arslan, Sevim Cengiz, Ani Kiçik, Emel Erdogdu, G. H. Hatay, Z. Tufekcioglu, B. Bilgiç, H. Hanagasi, H. Gurvit, T. Demiralp, A. Uluğ, E. O. Isik

引用次数: 0

A new reconstruction technique used in Diffuse Optical Tomography System 漫射光学层析成像系统中一种新的重建技术

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8478965

Gençay Sevim, T. Mercan, Yigit Ali Uncu, M. Canpolat

引用次数: 3

Variable-FOV Reconstruction for 3D Non-Cartesian Parallel Imaging 三维非笛卡儿平行成像的可变视场重建

2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479024

Celal Furkan Senel, T. Çukur

引用次数: 0