2007 IEEE International Workshop on Imaging Systems and Techniques最新文献

A blade coating inspection method based on an electromagnetic inverse scattering approach 基于电磁逆散射法的叶片涂层检测方法

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379582

A. Randazzo, E. Pignone

引用次数: 2

Marker-less Intra-Fraction Organ Motion Tracking - A Hybrid ASM Approach 无标记的器官运动跟踪-一种混合ASM方法

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379608

Y. Su, M. H. Fisher, R. Rowland, I. Introduction

{"title":"Marker-less Intra-Fraction Organ Motion Tracking - A Hybrid ASM Approach","authors":"Y. Su, M. H. Fisher, R. Rowland, I. Introduction","doi":"10.1109/IST.2007.379608","DOIUrl":"https://doi.org/10.1109/IST.2007.379608","url":null,"abstract":"External beam radiation therapy attempts to deliver a high dose of ionizing radiation to destroy cancerous tissue, while sparing healthy tissues and organs at risk (OAR). Advances in intensity modulated radiotherapy treatment (IMRT) call for a greater understanding of uncertainties in the treatment process and more rigorous protocols leading to greater precision in treatment delivery. The degree to which this can be achieved depends largely on the cancer site. The treatment of organs comprised of soft tissue (e.g. in the abdomen) and those subject to rhythmic movements (e.g. lungs) cause inter and intra-fraction motion artifacts that are particularly problematic. Various methods have been developed to tackle the problems caused by organ motion during radiotherapy treatment, e.g. real-time position management (RPM) respiratory gating (varian) and synchronized moving aperture radiation therapy (SMART), developed by researchers at Harvard medical school. The majority of the work focuses on tracking the position of the pathologic region, with the intra-fraction shape variation of the region being largely ignored. This paper proposes a novel method that addresses both the position and shape variation caused by the intra-fraction movement. This approach is seen able to reduce the margin of clinical treatment volume (CTV), hence, spare yet more surrounding healthy tissues from being exposed to radiation and limiting irradiation of OAR.","PeriodicalId":329519,"journal":{"name":"2007 IEEE International Workshop on Imaging Systems and Techniques","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116574033","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

A Log-Polar Interpolation Applied to Image Scaling 应用于图像缩放的对数极坐标插值

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379610

A. Amanatiadis, I. Andreadis, A. Gasteratos

引用次数: 8

Discriminant Analysis Diagram for Pattern Recognition 模式识别的判别分析图

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379584

W. Skarbek

引用次数: 1

Digital Imaging Based Measurement of Combustion Flame Characteristics 基于数字成像的燃烧火焰特性测量

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379607

G. Lu, A. Stasiak, J. Shao, Yong Yan

引用次数: 5

Localization of Endoscopic Capsule in the GI Tract Based on MPEG-7 Visual Descriptors 基于MPEG-7视觉描述符的内镜囊在胃肠道中的定位

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379580

K. Duda, T. Zieliński, R. Frączek, J. Bulat, M. Duplaga

引用次数: 17

Velocity extraction from spin-tagging MRI images using a weighted least-squares optical flow method 基于加权最小二乘光流法的自旋标记MRI图像速度提取

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379577

J. Stoitsis, E. Bastouni, D. Karampinos, J. Bosshard, Jiaxi Lu, S. Golemati, S. Wright, J. Georgiadis, K. Nikita

{"title":"Velocity extraction from spin-tagging MRI images using a weighted least-squares optical flow method","authors":"J. Stoitsis, E. Bastouni, D. Karampinos, J. Bosshard, Jiaxi Lu, S. Golemati, S. Wright, J. Georgiadis, K. Nikita","doi":"10.1109/IST.2007.379577","DOIUrl":"https://doi.org/10.1109/IST.2007.379577","url":null,"abstract":"Magnetic resonance imaging (MRI) can provide truly non-invasive measurements of internal flow fields. The extraction of velocity from spin-tagging images requires the quantitative tracking of grid nodes. A weighted least-squares optical flow method was used in this work to estimate the displacements of the grid nodes and tags from synthetic and real spin-tagging MRI images. To investigate the accuracy of the proposed method, synthetic spin-tagging images were generated using the Poiseuille law analytical profile. Three synthetic sequences with different levels of noise were generated and the average and maximum absolute errors were estimated for points corresponding to grid nodes and tags. Different sizes and shapes of region of interest (ROI) were investigated to determine the optimal size and shape for reliable extraction of velocity both for synthetic and real spin-tagging MRI images. The optimal ROI size was found to be 13x13 pixels2 . The average and maximum absolute error for the velocity in vertical direction for synthetic data using the optimal ROI size ranged from 5.46% to 14.42% and from 6.39% to 31.96% respectively.","PeriodicalId":329519,"journal":{"name":"2007 IEEE International Workshop on Imaging Systems and Techniques","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130946529","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

A Rotational and Translational Image Stabilization System for Remotely Operated Robots 一种用于遥控机器人的旋转和平移稳像系统

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379602

A. Amanatiadis, I. Andreadis, A. Gasteratos, N. Kyriakoulis

{"title":"A Rotational and Translational Image Stabilization System for Remotely Operated Robots","authors":"A. Amanatiadis, I. Andreadis, A. Gasteratos, N. Kyriakoulis","doi":"10.1109/IST.2007.379602","DOIUrl":"https://doi.org/10.1109/IST.2007.379602","url":null,"abstract":"Remotely operated robots equipped with on board cameras, apart from providing video input to operators, perform optical measurements to assist their navigation as well. Such image processing algorithms require image sequences, free of high frequency unwanted movements, in order to generate their optimal results. Image stabilization is the process which removes the undesirable position fluctuations of a video sequence improving, therefore, its visual quality. In this paper, we introduce the implementation of an image stabilization system that utilizes input from an on board camera and a gyrosensor. The frame sequence is processed by an optic flow algorithm and the inertial data is processed by a discrete Kalman filter. The compensation is performed using two servo motors for the pan and tilt movements and frame shifting for the vertical and horizontal movements. Experimental results of the robot head, have shown fine stabilized image sequences and a system capable of processing 320 times 240 pixel image sequences at approximately 10 frames/sec, with a maximum acceleration of A deg/sec2.","PeriodicalId":329519,"journal":{"name":"2007 IEEE International Workshop on Imaging Systems and Techniques","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121266773","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: 7

Improvement in Minutiae Detection by Single Ridge Local Analysis for Fingerprint Image Processing 基于单脊局部分析的指纹图像细节检测改进

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379585

M. Jedryka, Z. Wawrzyniak

引用次数: 1

Colon Cleansing for Virtual Colonoscopy Using Non-linear Transfer Function and Morphological Operations 基于非线性传递函数和形态学操作的虚拟结肠镜结肠清洗

2007 IEEE International Workshop on Imaging Systems and Techniques Pub Date : 2007-05-05 DOI: 10.1109/IST.2007.379575

A. Skalski, M. Socha, T. Zielinski, M. Duplaga

引用次数: 8