2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)最新文献

Uncertainty quantification in medical image-based hemodynamic computations 基于医学图像的血流动力学计算中的不确定度量化

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867901

Weijia Chen, L. Itu, Puneet S. Sharma, A. Kamen

引用次数: 1

A multiscale/sparse representation for Diffusion Weighted Imaging (DWI) super-resolution 扩散加权成像(DWI)超分辨率的多尺度/稀疏表示

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868037

J. Tarquino, A. Rueda, E. Romero

引用次数: 2

Early diagnosis of Alzheimer's disease with deep learning 用深度学习早期诊断阿尔茨海默病

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868045

Siqi Liu, Sidong Liu, Weidong (Tom) Cai, Sonia Pujol, R. Kikinis, D. Feng

引用次数: 405

Hierarchical organization of the functional brain identified using floating aggregation of functional signals 利用功能信号的浮动聚合识别功能性大脑的等级组织

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867927

Hongming Li, Yong Fan

{"title":"Hierarchical organization of the functional brain identified using floating aggregation of functional signals","authors":"Hongming Li, Yong Fan","doi":"10.1109/ISBI.2014.6867927","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867927","url":null,"abstract":"A novel method is proposed to parcellate the cerebral cortex into functionally homogenous regions at multiple scales with a hierarchical organization based on resting-state fMRI data. The cortical vertices are clustered according to inter-vertex functional similarity measures progressively at multiple spatial scales from fine to coarse by a procedure referred to as floating aggregation. The floating aggregation takes into consideration both the inter-regional functional similarity and the consistency of intra-regional functional homogeneity measures at every level of the resulting parcellation hierarchy. This aggregation procedure does not require to specify the number of regions for the parcellation, and could help identify proper spatial scales for the brain parcellation based on the overall region homogeneity changes across levels of the hierarchy. The experimental results on a resting-state fMRI dataset have demonstrated that the proposed method could not only obtain brain parcellation results with better functional homogeneity measures than state-of-the-art techniques, but also identify a hierarchical functional organization of the brain at multiple spatial scales.","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":"122889136","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: 3

Metal artifacts reduction for tomosynthesis 用于断层合成的金属伪影还原

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867921

Zhaoxia Zhang, Ming Yan, Kun Tao, Xiao Xuan

引用次数: 3

Increasing the credibility of MR spectroscopy-based automatic brain tumor classification systems 提高基于磁共振光谱的自动脑肿瘤分类系统的可信度

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867879

M. Berger, Klaus Sembritzki, J. Hornegger, Christina Bauer

{"title":"Increasing the credibility of MR spectroscopy-based automatic brain tumor classification systems","authors":"M. Berger, Klaus Sembritzki, J. Hornegger, Christina Bauer","doi":"10.1109/ISBI.2014.6867879","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867879","url":null,"abstract":"In the last decade many approaches have been introduced that allow for automatic classification of brain tumors by means of pattern recognition and magnetic resonance spectroscopy. Despite promising classification accuracies, none of these methods has found its way into clinical practice, which is also related to the missing transparency for the basis of their decision making. In this work, we develop two methods to increase the interpretability of such classification systems. First we propose a new reliability measure that determines a lower bound for the probability that a particular classification is correct. Additionally, we present a method that visualizes important regions for the classifier directly in the spectral domain. As a basis for this, seven classification methods were evaluated for their performance in discriminating aggressive tumors, low-grade glioma and meningioma, based on a common database. Our results show that the novel reliability measure is in good agreement with the actual classification accuracy. Further we point out that our visualization method clearly indicates which spectral regions are important for a classifier and how metabolite concentrations correspond to specific tumor types. Combining both methods can help to better understand a classifier's decision and therefore make the outcome more transparent and trustworthy.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"19 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":"128554575","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

An objective evaluation method of ulcerative colitis with optical colonoscopy images based on higher order local auto-correlation features 基于高阶局部自相关特征的光学结肠镜图像对溃疡性结肠炎的客观评价方法

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867816

H. Nosato, H. Sakanashi, E. Takahashi, M. Murakawa

引用次数: 13

Preliminary design of a multimodality molecular imaging system 多模态分子成像系统初步设计

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868036

D. Dong, Hui Hui, Caiyun Yang, Jin Guo, Yujie Yang, Liangliang Shi, W. Mu, Jie Tian

引用次数: 0

L1/2 regularization method for multiple-target reconstruction in fluorescent molecular tomography 荧光分子层析成像中多目标重建的L1/2正则化方法

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867830

Xiaowei He, Hongbo Guo, Yuqing Hou, Jingjing Yu, Hejuan Liu, Hai Zhang

引用次数: 2

Neurondynamics: A method for neurotransmitter vesicle movement characterization in neurons 神经动力学:神经递质囊泡运动表征的一种方法

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867913

F. Carpinteiro, Pedro Costa, Mario Sáenz Espinoza, Ivo M. Silva, J. Cunha

{"title":"Neurondynamics: A method for neurotransmitter vesicle movement characterization in neurons","authors":"F. Carpinteiro, Pedro Costa, Mario Sáenz Espinoza, Ivo M. Silva, J. Cunha","doi":"10.1109/ISBI.2014.6867913","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867913","url":null,"abstract":"Automated tracking of axonal neurotransmitter vesicles is a challenging problem in neuroscience. The present vesicle tracking is typically performed manually over confocal microscopy images. NeuronDynamics is a method designed to automate and speed-up the characterization of global vesicle movement in neurons while yielding high accuracy and precision results (similar or better than expert clinicians). For a set of fluorescent-marked vesicles “films”, Neuron-Dynamics performs a two stage approach: 1) Training: the system asks the user to mark a set of vesicles and the position of the cellular body; 2) Detection & tracking: based on the previous training, the system runs a Bayesian classifier over the image sequence to detect and classify vesicles and their movements (speed and direction). The obtained results were compared to another state-of-the-art method (FluoTracker), and were found greatly higher in accuracy, sensitivity, specificity and precision. Although NeuronDynamics is a semi-automated process, it is significantly faster than manual tracking and can be adapted to be used for similar approaches for other biological samples.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"35 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":"124171791","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