2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)最新文献_第5页

Associative algorithm and policy with advance loading and self-tuning for medical imaging storage in hybrid cloud 混合云中医学影像存储的预加载自调优关联算法和策略

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868015

K. Ghane

{"title":"Associative algorithm and policy with advance loading and self-tuning for medical imaging storage in hybrid cloud","authors":"K. Ghane","doi":"10.1109/ISBI.2014.6868015","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6868015","url":null,"abstract":"Advances in medical imaging have resulted in rapid growth in the amount and also the size of medical images that are stored in the medical imaging information systems. As a result of such rapid growth in storage requirements, public and private storage clouds have special appeal to medical imaging storage applications. Another factor that makes cloud storage attractive to medical imaging is that the time span of data retention has been increasing and in many cases it is now for the life of patient and many years beyond. In addition, Cloud solutions facilitate accessing data from any device and anywhere. Wide variety of cloud based solutions that are currently available cannot be effectively applied to medical imaging applications because of inefficient support for specific characteristics of the medical imaging data access. For many practical reasons including access speed requirements, off premise public/private clouds cannot be an optimum solution for medical imaging and hybrid cloud solutions are preferred and primarily used. However the existing hybrid cloud solutions primarily use public cloud as the backup for on-premise storage or as an archive for old/inactive records or as a copy for Healthcare Information Exchange with other healthcare entities. This paper provides a solution for optimizing total cost of ownership associated with volume, growth and scalability of medical imaging storage systems. It models medical imaging storage as a three level cache. It introduces a cache algorithm and policy that is devised based on the characteristics of medical imaging applications such as the inherent association of cache entries through patient attribute and the recognizable data usage patterns such as cancer treatment plans. Healthcare Information Exchange is an easy extension to this solution where images in public clouds can be shared and exposed to the other healthcare providers or entities of interest.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"26 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":"123469970","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

Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extraction 基于颜色指数局部自相关特征提取优化方法的病理图像计算癌检测

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867997

Jia Qu, H. Nosato, H. Sakanashi, E. Takahashi, Kensuke Terai, N. Hiruta

引用次数: 4

Classified region growing for 3D segmentation of packed nuclei 填充核三维分割的分类区域生长

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6868002

Jaza Gul-Mohammed, T. Boudier

引用次数: 6

Automatic left ventricle segmentation based on multiatlas registration in 4D CT images 基于多图谱配准的4D CT图像左心室自动分割

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867896

Guanyu Yang, Yang Chen, L. Tang, H. Shu, C. Toumoulin

引用次数: 10

Snakes with tangent-based control and energies for bioimage analysis 蛇与切线为基础的控制和能量的生物图像分析

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867993

V. Uhlmann, R. Delgado-Gonzalo, M. Unser

引用次数: 4

Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopy 荧光视频显微镜中图像区域内粒子流动的估计

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867906

T. Pécot, J. Boulanger, C. Kervrann, P. Bouthemy, J. Salamero

引用次数: 3

Cartilage estimation in noncontrast thoracic CT 胸部非对比CT对软骨的估计

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867895

Qian Zhao, Nabile M. Safdar, Glenna Yu, Emmarie Myers, A. Koroulakis, C. Duan, A. Sandler, M. Linguraru

{"title":"Cartilage estimation in noncontrast thoracic CT","authors":"Qian Zhao, Nabile M. Safdar, Glenna Yu, Emmarie Myers, A. Koroulakis, C. Duan, A. Sandler, M. Linguraru","doi":"10.1109/ISBI.2014.6867895","DOIUrl":"https://doi.org/10.1109/ISBI.2014.6867895","url":null,"abstract":"Pectus excavatum (PE) is the most common major congenital deformity that involves the lower sternum and cartilages. Noncontrast CT is useful to assess the deformity of the bones and guide minimally invasive surgery. However, it has very poor visibility of cartilages even for the experienced clinicians who need to assess the 3D geometry of cartilages. In this study, we propose a novel method to estimate cartilages in noncontrast CT scans. The ribs and sternum are first segmented using region growing. The skeleton of the ribs is extracted and modeled by cosine series expansion. Then a statistical shape model is built with the cosine coefficients to estimate the cartilages as curves that connect the ribs and sternum. The results are refined by the cartilage surface that is approximated by contracting the skin surface to the bones. Leave-one-out validation was performed on 12 CT scans from healthy and PE subjects. The average distance between the estimated cartilages and ground truth is 1.53 mm. The promising results indicate that our method could estimate the costal cartilages in noncontrast CT effectively and assist to develop an image-based surgical planning system for PE correction.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"4 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":"126164927","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

Automated cell nucleus detection for large-volume electron microscopy of neural tissue 神经组织大体积电子显微镜下的自动细胞核检测

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867811

F. Tek, Thorben Kröger, S. Mikula, F. Hamprecht

引用次数: 12

Sequence alignment of in-utero fetal tissue MRI in mice 小鼠子宫内胎儿组织MRI序列比对

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867988

A. Akselrod-Ballin, R. Avni, M. Neeman

引用次数: 1

Dynamic morphology-based characterization of stem cells enabled by texture-based pattern recognition from phase-contrast images 基于纹理的模式识别从相衬图像实现干细胞的动态形态学表征

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Pub Date : 2014-07-31 DOI: 10.1109/ISBI.2014.6867813

M. Maddah, K. Loewke

引用次数: 3