2010 17th Iranian Conference of Biomedical Engineering (ICBME)最新文献_第3页

A fast image registration algorithm for Digital Subtraction Angiography 数字减影血管造影的快速图像配准算法

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704959

M. Nejati, R. Amirfattahi, S. Sadri

引用次数: 7

Preparation of sol-gel derived hydroxyapatite/yttria stabilized zirconia nanocomposite coatings on 316 L stainless steel 316l不锈钢表面羟基磷灰石/氧化钇稳定氧化锆纳米复合涂层的制备

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5705016

S. Salehi, Mohammadhossein Fathi

引用次数: 4

Skin lesion detection in dermoscopy images using wavelet transform and morphology operations 基于小波变换和形态学的皮肤镜图像损伤检测

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704944

Omid Sarrafzade, M. Baygi, P. Ghassemi

引用次数: 16

Mode propagation in a double layer structure microsphere 双层结构微球中的模式传播

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704979

K. Abbasian, R. Talebi, H. Daryanavrd

引用次数: 0

The new approach to automatic detection of Optic Disc from non-dilated retinal images 一种新的视盘自动检测方法

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704960

Z. Vahabi, M. Vafadoost, S. Gharibzadeh

引用次数: 15

Function simulation of a 4 degree-of-freedom robot for artery manipulation during vascular surgery 血管手术中动脉操作四自由度机器人的功能仿真

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704993

P. Pahlavan, S. Najarian, Ali Abouei, M. Moini

{"title":"Function simulation of a 4 degree-of-freedom robot for artery manipulation during vascular surgery","authors":"P. Pahlavan, S. Najarian, Ali Abouei, M. Moini","doi":"10.1109/ICBME.2010.5704993","DOIUrl":"https://doi.org/10.1109/ICBME.2010.5704993","url":null,"abstract":"Atheroma is one of the main causes of failure of arterial system. One of the most common approaches of treatment of this aneurysm is the bypass surgery. During this surgery, the surgeon has to free the artery from the surrounding tissue. To accomplish this, a hook, right- angle clamp, is used. However, there is always the possibility of damaging the veins and/or the neural paths around the artery while working with this mechanical hook. The reason for this is that the hook might not exactly circle the artery and its tip follows a different path from artery's outer surface. In this study, we considered a 4-degree-of-planar freedom robot, which is aimed to free the artery with making no damages to surrounding tissue, and analyzed its path following. Movements of the links of the robot were modeled under some boundary conditions, like definite space between the tip of the robot and the outer surface of the artery, and the path followed by the tip of the robot was extracted. Also, the different angles of the joints versus time were extracted and it was concluded that although under the considered boundary condition the goal is achieved, the movement could be improved.","PeriodicalId":377764,"journal":{"name":"2010 17th Iranian Conference of Biomedical Engineering (ICBME)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131964295","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

A new method for simulation of embolic signal in ultrasound blood flow signals 超声血流信号中栓塞信号模拟的新方法

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704978

M. Khodabakhshi, H. Behnam

引用次数: 3

Classification of breast lesions in dynamic contrast-enhanced MR images 动态增强磁共振图像中乳腺病变的分类

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704953

L. Bahreini, A. Jafari, M. Gity

{"title":"Classification of breast lesions in dynamic contrast-enhanced MR images","authors":"L. Bahreini, A. Jafari, M. Gity","doi":"10.1109/ICBME.2010.5704953","DOIUrl":"https://doi.org/10.1109/ICBME.2010.5704953","url":null,"abstract":"In recent years, the development of computer-aided diagnosis (CAD) for breast MR image (MRI) has been a big challenge. Usually multiple layer perceptron (MLP) was used for classification of breast MRI lesions. Fuzzy technique can integrate human expert's knowledge into the system and integrating it with artificial neural network (ANN) could provide us with more intelligent systems. Therefore, in this work, a three-layer feed-forward MLP classifier and a four-layer feed-forward fuzzy neural network (FNN) classifier were used separately to compare their diagnostic performance in discrimination between malignant and benign breast lesions. This work included 40 (23 malignant and 17 benign) histopathologically proven lesions and the steps of this work were as follows: region of interest (ROI) selection, fuzzy c-means (FCM) segmentation, some morphological feature extraction, MLP and FNN classifications, Receiver Operating Characteristic (ROC) analysis. The results showed FNN classifier has a better diagnostic performance than MLP classifier in discrimination between malignant and benign lesions, because FNN classifier has a greater accuracy and area under the receiver operating characteristic curve (AUC) than MLP classifier, and also at the similar sensitivity, FNN classifier has a greater specificity than MLP classifier. This indicates FNN could provide us with good performance in discrimination between malignant and benign breast lesions which can lead to more powerful breast MRI CADs.","PeriodicalId":377764,"journal":{"name":"2010 17th Iranian Conference of Biomedical Engineering (ICBME)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127912198","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

An image processing approach to automatic detection of retina layers using texture analysis 基于纹理分析的视网膜层自动检测图像处理方法

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704951

Amineh Naseri, A. Pouyan, N. Kavian

引用次数: 2

A comparison between new L1 minimization algorithms in Electrical Impedance Tomography using the Pareto Curve 利用帕累托曲线的电阻抗断层成像中新的L1最小化算法的比较

2010 17th Iranian Conference of Biomedical Engineering (ICBME) Pub Date : 2010-11-01 DOI: 10.1109/ICBME.2010.5704945

J. N. Tehrani, A. McEwan

引用次数: 1