2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)最新文献_第4页

Embryo cell membranes reconstruction by tensor voting 张量投票法重建胚胎细胞膜

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868105

G. Michelin, L. Guignard, Ulla-Maj Fiúza, G. Malandain

引用次数: 9

A generalized compressed sensing approach to high angular resolution diffusion imaging 高角分辨率扩散成像的广义压缩感知方法

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867956

O. Michailovich, Y. Rathi

{"title":"A generalized compressed sensing approach to high angular resolution diffusion imaging","authors":"O. Michailovich, Y. Rathi","doi":"10.1109/ISBI.2014.6867956","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867956","url":null,"abstract":"Among the existing methods of diffusion MRI, high angular resolution diffusion imaging (HARDI) excels in its ability to resolve the complex orientations of crossing and branching neural fibre tracts in the brain. Unfortunately, a widespread integration of HARDI into clinical workflows is still hindered by a few practical obstacles, chief among which relates to prohibitively long scan times required by current implementations of this protocol. In addition, the dependency of HARDI on rapid acquisition schemes, such as single-shot echo planar imaging, imposes limitations on the maximal spatial resolution that one can attain at an acceptable level of signal-to-noise ratio. A possible solution to the problem of limited spatial resolution of HARDI could be to modify the pattern of k-space encoding so as to maximally utilize the bandwidth efficiency of frequency encoding at the expense of using a smaller number of phase encoding steps. At the same time, a substantial reduction in the total acquisition time could be achieved through a subcritical sampling in the q-space. Although both the above mechanisms are bound to yield highly incomplete data, a stable and reliable reconstruction of the associated HARDI signals is still possible to achieve within the framework of compressed sensing. To solve this problem, we introduce an efficient reconstruction procedure, whose effectiveness is demonstrated through both in silico and in vivo experiments.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115168944","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 comparison of algorithms and humans for mitosis detection 有丝分裂检测算法与人类的比较

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868130

A. Giusti, Claudio Caccia, D. Ciresan, J. Schmidhuber, L. Gambardella

引用次数: 22

Segmentation of bone from ADC maps in pelvis area using local level-set and prior information 利用局部水平集和先验信息对骨盆区域ADC图进行骨分割

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868133

F. S. Nezhad, H. S. Rad, H. Soltanian-Zadeh

{"title":"Segmentation of bone from ADC maps in pelvis area using local level-set and prior information","authors":"F. S. Nezhad, H. S. Rad, H. Soltanian-Zadeh","doi":"10.1109/ISBI.2014.6868133","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6868133","url":null,"abstract":"Lack of anatomical details in diffusion weighted magnetic resonance images limits their utilization and treatment response monitoring, shadowing the useful information they contain. Contemporary methods of utilizing these images are based on manual selection of region of interest, raising concerns about susceptibility of manual ROI placement to human errors, and limiting the investigation in specific spatial regions. In contrary to the whole body bone marrow segmentation with the luxury to include all the diseased bone marrow, high profile analysis could be applied. In this paper, we propose an automatic method for segmentation of pelvic bone with possible bone metastasis in apparent diffusion coefficient (ADC) maps. This method is a multi-parametric registration-segmentation method, taking advantage of prior information of the pelvic anatomy. Intensity inhomogeneity in the bone structure caused by bone marrow metastasis challenges the segmentation process on anatomical MR images. Specifically, we first build a probability map which provides shape and volume constraints for the segmentation. Then, T1-weighted MR images are rigidly registered to the probability map, and then the registered T1-weighted image is non-rigidly registered to its' corresponding ADC maps. Finally, the probability map is coupled with a local level set framework for automatic pelvic bone segmentation of the T1-weighted images. The segmented bone is used as a mask on the ADC map. The method is validated on 10 pairs of ADC/T1 images of breast cancer with bone marrow metastases patients. Both quantitative and qualitative evaluation results demonstrate the validity of the proposed method.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134253339","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

Understanding scanner upgrade effects on brain integrity & connectivity measures 了解扫描仪升级对大脑完整性和连通性的影响

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867852

L. Zhan, N. Jahanshad, Yan Jin, T. Nir, Cassandra D. Leonardo, M. Bernstein, B. Borowski, C. Jack, P. Thompson

引用次数: 6

Discovering network-level functional interactions from working memory fMRI data 从工作记忆fMRI数据中发现网络级功能交互

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867797

Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang Li, Xintao Hu, Lei Guo, Tianming Liu

{"title":"Discovering network-level functional interactions from working memory fMRI data","authors":"Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang Li, Xintao Hu, Lei Guo, Tianming Liu","doi":"10.1109/ISBI.2014.6867797","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867797","url":null,"abstract":"It is widely believed that working memory process involves large-scale functional interactions among multiple brain networks. However, network-level functional interactions across large-scale brain networks in working memory have been rarely explored yet in the literature. In this paper, we propose a novel framework for modeling network-level functional interactions in working memory based on our publicly released 358 DICCCOL landmarks. First, 14 DICCCOLs are detected as group-wise activated ROIs via GLM and compose the `basic network' of working memory. Second, the time-frequency functional interaction patterns of each pair of activated DICCCOL and other DICCCOLs are calculated using cross-wavelet transform. Third, the common functional interaction patterns and corresponding brain networks are learned via effective online dictionary learning and sparse coding methods. Experimental results showed that multiple brain networks are involved in working memory processes. More importantly, each brain network interacts with the `basic network' via a specific functionally meaningful time-frequency interaction pattern.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114382824","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

Efficient numerical reconstruction of color Doppler images of mitral regurgitation in vitro 体外二尖瓣反流彩色多普勒图像的高效数值重建

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868056

Wei Li, S. Sonntag, M. Becker, N. Marx, U. Steinseifer, D. Merhof

引用次数: 0

Improving brain decoding through constrained and parametrized temporal smoothing 通过约束和参数化时间平滑改进大脑解码

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867930

Loizos Markides, D. Gillies

{"title":"Improving brain decoding through constrained and parametrized temporal smoothing","authors":"Loizos Markides, D. Gillies","doi":"10.1109/ISBI.2014.6867930","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867930","url":null,"abstract":"Decoding mental states from task-related fMRI data has recently been the focus of much research. Nevertheless, high levels of acquisition and physiological noise still makes inter-subject decoding a difficult and quite unstable process. Since all of the existing decoding approaches are applied on a volume-by-volume basis, it would be sensible to ensure that sudden signal changes reflect a true change of cognitive state rather than noise artefacts. Correction of the temporal signal can be achieved through temporal smoothing, which over the years has always been a debatable fMRI preprocessing step among the neuroscience community. In this paper, we present two methods for improving decoding accuracy by correcting the temporal dynamics of a number of functional regions, using parametrized temporal smoothing. We test our methods on a real fMRI dataset and we show that when temporal smoothing is applied separately in multiple scales and is both properly constrained and conditioned, it can remove sudden artefact-driven peaks and drops from the fMRI signal and thus improve the prediction accuracy of different tasks. Moreover, since our methods are performed independently from the decoding operations, they can be used in conjunction with any feature selection and classification algorithm.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114544305","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

The benchmark data SET CeTReS.B-MI for in vitro mitosis detection 基准数据SET CeTReS。B-MI用于体外有丝分裂检测

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867910

T. Becker, W. Kanje, D. Rapoport, Konstantin Thierbach, N. Scherf, Ingo Röder, A. M. Mamlouk

引用次数: 0

Non-rigid contour-based temporal registration of 2D cell nuclei images using the Navier equation 利用Navier方程对二维细胞核图像进行非刚性轮廓的时序配准

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867978

D. Sorokin, Marco Tektonidis, K. Rohr, P. Matula

引用次数: 8