2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro最新文献

Automatic detection of patient motion in cone-beam computed tomography 锥形束计算机断层扫描中病人运动的自动检测

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490224

S. Ens, J. Ulrici, E. Hell, T. Buzug

引用次数: 15

Bayesian fisher information criterion for sampling optimization in ASL-MRI 基于贝叶斯fisher信息准则的ASL-MRI采样优化

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490127

J. Sanches, I. Sousa, P. Figueiredo

引用次数: 10

Cell-based graph cut for segmentation of 2D/3D sonographic breast images 基于细胞的二维/三维超声乳腺图像分割图切割

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490384

Hsin-Hung Chiang, Jie-Zhi Cheng, Pei-Kai Hung, Chun-You Liu, C. Chung, Chung-Ming Chen

引用次数: 17

High field clinical MRI neuroimaging 临床高场MRI神经成像

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490280

M. Buchem, J. Grond, M. Versluis, M. Osch, W. Teeuwisse, H. Kan, A. Webb

引用次数: 0

Fast localize the bioluminescent source via graph cuts 通过图切割快速定位生物发光源

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490079

Kai Liu, Jie Tian, Shouping Zhu, C. Qin, Xing Zhang, Dong Han

{"title":"Fast localize the bioluminescent source via graph cuts","authors":"Kai Liu, Jie Tian, Shouping Zhu, C. Qin, Xing Zhang, Dong Han","doi":"10.1109/ISBI.2010.5490079","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490079","url":null,"abstract":"Bioluminescence imaging (BLI) and bioluminescence tomography (BLT) make it possible to elucidate cellular signatures to better understand the effects of human disease in small animal in vivo. However, to the best of our knowledge, the existing gradient-type reconstruction methods in BLT are not very efficient, and often require a relatively small volume of interest (VOI) for feasible results. In this paper, a fast graph cuts based reconstruction method for BLT is presented, which is to localize the bioluminescent source in heterogeneous mouse atlas via max-flow/min-cut algorithm. Since the original graph cuts theory can only handle graph-representable problem, the quadratic pseudo-boolean optimization is incorporated to make the graph tractable. The internal light source can be reconstructed from the whole domain, so a priori knowledge of VOI can be avoided in this method. In the experiments, the proposed method is validated in a heterogeneous mouse atlas, and the source can be localized reliably and efficiently by graph cuts; and compared with a gradient-type method, graph cuts is about 25–50 times faster.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123691450","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

Early diagnosis of dementia based on intersubject whole-brain dissimilarities 基于主体间全脑差异的痴呆早期诊断

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490366

S. Klein, M. Loog, F. Lijn, T. Heijer, A. Hammers, Marleen de Bruijne, A. Lugt, R. Duin, M. Breteler, W. Niessen

{"title":"Early diagnosis of dementia based on intersubject whole-brain dissimilarities","authors":"S. Klein, M. Loog, F. Lijn, T. Heijer, A. Hammers, Marleen de Bruijne, A. Lugt, R. Duin, M. Breteler, W. Niessen","doi":"10.1109/ISBI.2010.5490366","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490366","url":null,"abstract":"This article studies the possibility of detecting dementia in an early stage, using nonrigid registration of MR brain scans in combination with dissimilarity-based pattern recognition techniques. Instead of focussing on the shape of a single brain structure, we take into account the shape differences within the entire brain. Imaging data was obtained from a longitudinal, population based study of the elderly. A set of 29 subjects was identified, who were asymptomatic at the time of scanning, but were diagnosed as having dementia within 0.7 to 5 years after the scan, and a set of 29 age and gender matched healthy controls were selected. Each subject was registered to all other subjects, using a nonrigid registration algorithm. Based on statistics of the deformation field in the brain, a dissimilarity measure was calculated between each pair of subjects, yielding a 58×58 dissimilarity matrix. A kNN classifier was trained on the dissimilarity matrix and the performance was tested in a leave-one-out experiment. A classification accuracy of 81% was attained (spec. 83%, sens. 79%). This demonstrates the potential of whole-brain intersubject dissimilarities to aid in early diagnosis of dementia.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123696010","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: 38

Automatic leakage detection and recovery for airway tree extraction in chest CT images 胸部CT图像气道树提取中的泄漏自动检测与恢复

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490282

M. Ceresa, X. Artaechevarria, A. Muñoz-Barrutia, C. Ortíz-de-Solórzano

引用次数: 4

AN iterative model-constrained graph-cut algorithm for Abdominal Aortic Aneurysm thrombus segmentation 腹主动脉瘤血栓分割的迭代模型约束图切算法

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490085

M. Freiman, S. Esses, Leo Joskowicz, J. Sosna

引用次数: 40

Cardiac left atrium CT image segmentation for ablation guidance 心脏左心房CT图像分割用于消融指导

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490304

Marc M. J. Koppert, P. Rongen, M. Prokop, B. H. Romeny, H. V. Assen

引用次数: 10

Generalized optimal quantitative index of dual-time FDG-PET imaging in lung cancer diagnosis 双时间FDG-PET成像诊断肺癌的广义最优定量指标

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490378

Xiujuan Zheng, Guangjian Tian, L. Wen, D. Feng

引用次数: 1