2014 IEEE 27th International Symposium on Computer-Based Medical Systems最新文献_第7页

2D/3D Non-rigid Image Registration by an Efficient Demons Approach 基于高效Demons方法的2D/3D非刚性图像配准

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.100

Ashutosh Mishra, Pulak Mondal, S. Banerjee

引用次数: 5

Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography 四维超声心动图变分光流计算心脏应变

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.144

Saurabh Vyas, J. Gammie, P. Burlina

{"title":"Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography","authors":"Saurabh Vyas, J. Gammie, P. Burlina","doi":"10.1109/CBMS.2014.144","DOIUrl":"https://doi.org/10.1109/CBMS.2014.144","url":null,"abstract":"Myocardial strain is important to assess cardiac function and diagnose cardiovascular disease. Despite the adoption of 4D (volume + time) echocardiography for diagnostic and therapeutic purposes, current clinical practice often relies exclusively on 2D measurements of strain or flow information resulting from Doppler echography. However, strain is a 3D measure of deformation in the radial, circumferential and longitudinal directions and therefore full 3D strain, and in particular out-of- sagittal plane strain components, include important information for diagnostic purposes since they provide additional information on the manner in which the heart lengthens and contracts during diastole and systole. In our prior work, we have developed robust variational optical flow methods to estimate dense myocardial motion. In this study, we extend this methodology to track ventricular outlines, which are subsequently used to compute displacement and deformation fields. This in turn is used to compute volumetric estimates of strain. We test our methods on a dataset of 4D ultrasound acquired in vivo from seven patients, and find good agreement with physiological precepts.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115823400","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

Biological Image Indexing for Content-Based Retrieval of Drug Effects in Phenotypic Screening Data of Macroparasites 基于内容检索大寄生虫表型筛选数据中药物作用的生物图像索引

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.19

A. Gater, Rahul Singh

引用次数: 0

A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery 自调整遗传算法在生物标志物发现中的应用

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.10

D. Popovic, Charalampos N. Moschopoulos, Ryo Sakai, A. Sifrim, J. Aerts, Y. Moreau, B. Moor

引用次数: 5

Electronic Health Records: A Survey of the Experiences and Expectations of Irish Dermatologists 电子健康记录:爱尔兰皮肤科医生的经验和期望调查

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.51

Dmitri Wall, C. Hackett, B. Kane, K. Ahmad, B. Ramsay

引用次数: 0

Defeasible Reasoning and Argument-Based Systems in Medical Fields: An Informal Overview 医学领域的可否定推理和基于论证的系统:非正式概述

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.126

L. Longo, Pierpaolo Dondio

引用次数: 30

Applying Speculative Computation to Guideline-Based Decision Support Systems 推测计算在基于指南的决策支持系统中的应用

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.32

Tiago Oliveira, J. Neves, P. Novais, K. Satoh

{"title":"Applying Speculative Computation to Guideline-Based Decision Support Systems","authors":"Tiago Oliveira, J. Neves, P. Novais, K. Satoh","doi":"10.1109/CBMS.2014.32","DOIUrl":"https://doi.org/10.1109/CBMS.2014.32","url":null,"abstract":"Clinical Practice Guidelines, as evidence-based recommendations are the ideal support for Clinical Decision Support Systems. The intricacies of a guideline execution tool are related with the establishment of a care flow with an appropriate order between procedures and the modelling of decision points. One of such decision points is the choice between alternative tasks based on trigger conditions regarding a patient's state. It may be the case that, when there is the need to choose one of the alternative tasks, the system does not possess all the required information to do so, thus rendering impossible to reach an outcome. Speculative Computation and Abduction may increase the efficiency of this process by allowing the system to advance the computation of a solution, even while it is waiting for a response from the information sources. This work provides the basis for a Speculative Computation framework able to cope with decisions of clinical care flows. The methods developed herein were devised to support practitioners and to improve patient-centred medicine by providing maps of the most likely evolution of a patient, even when the information is incomplete.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124231329","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: 4

BUCOMAX: Collaborative Multimedia Platform for Real Time Manipulation and Visualization of Bucomaxillofacial Diagnostic Images BUCOMAX:用于颌面部诊断图像实时处理和可视化的协同多媒体平台

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.12

A. Puel, A. V. Wangenheim, M. Meurer, D. D. J. D. Macedo

引用次数: 8

Evaluating a Row-Store Data Model for Full-Content DICOM Management 评估全内容DICOM管理的行-存储数据模型

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.61

Alexandre Savaris, T. Härder, A. V. Wangenheim

引用次数: 6

A Benchmark of Globally-Optimal Anonymization Methods for Biomedical Data 生物医学数据全局最优匿名化方法的基准

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.85

F. Prasser, F. Kohlmayer, K. Kuhn

{"title":"A Benchmark of Globally-Optimal Anonymization Methods for Biomedical Data","authors":"F. Prasser, F. Kohlmayer, K. Kuhn","doi":"10.1109/CBMS.2014.85","DOIUrl":"https://doi.org/10.1109/CBMS.2014.85","url":null,"abstract":"Collaboration and data sharing have become core elements of biomedical research. At the same time, there is a growing understanding of privacy threats related to data sharing, especially when sensitive data from distributed sources become available for linkage. Statistical disclosure control comprises well-known data anonymization techniques that allow the protection of data by introducing fuzziness. To protect datasets from different types of threats, different privacy criteria are commonly implemented. Data anonymization is an important measure, but it is computationally complex, and it can significantly reduce the expressiveness of data. To attenuate these problems, a number of algorithms has been proposed, which aim at increasing data quality or improving efficiency. Previous evaluations of such algorithms lack a systematic approach, as they focus on specific algorithms, specific privacy criteria, and specific runtime environments. Therefore, it is difficult for decision makers to decide which algorithm is best suited for their requirements. As a first step towards a comprehensive and systematic evaluation of anonymity algorithms, we report on our ongoing efforts for providing an open source benchmark. In this contribution, we focus on optimal algorithms utilizing global recoding with full-domain generalization. We present a systematic evaluation of domain-specific algorithms and generic search methods for a broad set of privacy criteria, including k-anonymity, l-diversity, t-closeness and d-presence, and their use in multiple real-world datasets. Our results show that there is no single solution fitting all needs, and that generic search methods can outperform highly specialized algorithms.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116515983","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: 21