2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro最新文献_第2页

Spatiotemporal Bayesian cell population tracking and analysis with lineage construction 时空贝叶斯细胞群跟踪与谱系构建分析

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4541002

Luke M. A. Beaumont, James Wake, eld, J. Noble

引用次数: 4

Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity 用于神经回路组织和可塑性研究的轴突钮扣建模、检测和分布分析

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4540958

Christina A. Hallock, I. Ozgunes, Ramamurthy Bhagavatula, G. Rohde, J. C. Crowley, C. E. Onorato, A. Mavalankar, A. Chebira, C. H. Tan, Markus Püschel, J. Kovacevic

{"title":"Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity","authors":"Christina A. Hallock, I. Ozgunes, Ramamurthy Bhagavatula, G. Rohde, J. C. Crowley, C. E. Onorato, A. Mavalankar, A. Chebira, C. H. Tan, Markus Püschel, J. Kovacevic","doi":"10.1109/ISBI.2008.4540958","DOIUrl":"https://doi.org/10.1109/ISBI.2008.4540958","url":null,"abstract":"We propose a novel method for axonal bouton modeling and automated detection in populations of labeled neurons, as well as bouton distribution analysis for the study of neural circuit organization and plasticity. Since axonal boutons are the presynaptic specializations of neural synapses, their locations can be used to determine the organization of neural circuitry, and in time-lapse studies, neural circuit dynamics. We propose simple geometric models for axonal boutons that account for variations in size, position, rotation and curvature of the axon in the vicinity of the bouton. We then use the normalized cross-correlation between the model and image data as a test statistic for bouton detection and position estimation. Thus, the problem is cast as a statistical detection problem where we can tune the algorithm parameters to maximize the probability of detection for a given probability of false alarm. For example, we can detect 81% of boutons with 9% false alarm from noisy, out of focus, images. We also present a novel method to characterize the orientation and elongation of a distribution of labeled boutons and we demonstrate its performance by applying it to a labeled data set.","PeriodicalId":184204,"journal":{"name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122454812","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 new filter for spot extraction in n-dimensional biological imaging 一种新的n维生物成像斑点提取滤波器

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4541161

E. Biot, Elizabeth Crowell, H. Hofte, Y. Maurin, S. Vernhettes, P. Andrey

引用次数: 21

Variability of the relative corpus callosum cross sectional area between dyslexic and normally developed brains 阅读困难症和正常发育的大脑相对胼胝体横截面积的差异

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4541026

N. El-Zehiry, M. Casanova, Adel Said Elmaghraby

引用次数: 5

Visualizing morphogenesis and growth by temporal interpolation of surface-based 3D atlases 通过基于表面的三维地图集的时间插值可视化形态发生和生长

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4541123

Chavdar Papazov, V. J. Dercksen, H. Lamecker, H. Hege

引用次数: 0

Effective voigt model estimation using multiple random starting values and parameter bounds settings for in vivo hepatic 1H magnetic resonance spectroscopic data 使用多个随机起始值和参数边界设置对体内肝脏1H磁共振光谱数据进行有效voigt模型估计

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4541300

H. Ratiney, A. Bucur, M. Sdika, O. Beuf, F. Pilleul, S. Cavassila

引用次数: 11

Detection and characterization of the tumor change between two FDG PET scans using parametric imaging 使用参数成像检测和表征两次FDG PET扫描之间的肿瘤变化

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4540922

H. Necib, M. Dusart, B. Vanderlinden, I. Buvat

引用次数: 6

Automatic cell recognition in immunohistochemical gastritis stains using sequential thresholding and SVM network 基于序列阈值和支持向量机网络的免疫组化胃炎染色细胞自动识别

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4541160

T. Markiewicz, C. Jochymski, R. Koktysz, W. Kozlowski

引用次数: 9

3D cardiac motion tracking using Robust Point Matching and meshless deformable models 使用鲁棒点匹配和无网格变形模型的3D心脏运动跟踪

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4540987

Ting Chen, Xiaoxu Wang, Dimitris N. Metaxas, L. Axel

{"title":"3D cardiac motion tracking using Robust Point Matching and meshless deformable models","authors":"Ting Chen, Xiaoxu Wang, Dimitris N. Metaxas, L. Axel","doi":"10.1109/ISBI.2008.4540987","DOIUrl":"https://doi.org/10.1109/ISBI.2008.4540987","url":null,"abstract":"We propose a novel 3D motion estimation approach integrating the robust point matching (RPM) and meshless deformable models. In our study, we first use the Gabor filters to generate phase maps of short axis (SA) and long axis (LA) tagged MRI sequences. Then we use the RPM to track the heart motion sparsely at intersections of tag grids in these image sequences, using both intensity gradient and phase information. Next, the new meshless deformable model is used to recover the dense 3D motion of the myocardium temporally during the cardiac cycle. The deformable model is driven by external forces computed at tag intersections based on the RPM motion tracking and keeps a consistent but flexible topology during the deformation using internal constraint forces calculated by the moving least squares (MLS) method. The deformable model recovers the global deformation of the LV such as rotation, contraction and twisting by integrating global deformation parameters over the volume. The new model avoids the singularity problem of mesh-based deformable models and is capable of tracking deformation efficiently with the sparse external forces derived from tagging line intersections. We test the performance of the new approach on in vivo heart data of healthy subjects and patients. The experimental results show that our new method can fully recover the myocardium motion and strain in 3D.","PeriodicalId":184204,"journal":{"name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121178270","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: 6

Automatic tuning of a graph-based image segmentation method for digital mammography applications 数字乳腺摄影应用中基于图形的图像分割方法的自动调整

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI: 10.1109/ISBI.2008.4540939

Hirotaka Susukida, Fei Ma, M. Bajger

引用次数: 6