IEEE Transactions on Information Technology in Biomedicine最新文献_第8页

Guest editorial. Integrated healthcare information systems. 客人编辑。综合医疗保健信息系统。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 DOI: 10.1109/TITB.2012.2198317

Ling Li, Ri-Li Ge, Shang-Ming Zhou, Ricardo Valerdi

引用次数: 58

Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets. 基于方向匹配滤波和水平集的视网膜图像视盘快速定位与分割。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-05-10 DOI: 10.1109/TITB.2012.2198668

H Yu, E S Barriga, C Agurto, S Echegaray, M S Pattichis, W Bauman, P Soliz

{"title":"Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets.","authors":"H Yu, E S Barriga, C Agurto, S Echegaray, M S Pattichis, W Bauman, P Soliz","doi":"10.1109/TITB.2012.2198668","DOIUrl":"https://doi.org/10.1109/TITB.2012.2198668","url":null,"abstract":"The optic disk (OD) center and margin are typically requisite landmarks in establishing a frame of reference for classifying retinal and optic nerve pathology. Reliable and efficient OD localization and segmentation are important tasks in automatic eye disease screening. This paper presents a new, fast, and fully automatic OD localization and segmentation algorithm developed for retinal disease screening. First, OD location candidates are identified using template matching. The template is designed to adapt to different image resolutions. Then, vessel characteristics (patterns) on the OD are used to determine OD location. Initialized by the detected OD center and estimated OD radius, a fast, hybrid level-set model, which combines region and local gradient information, is applied to the segmentation of the disk boundary. Morphological filtering is used to remove blood vessels and bright regions other than the OD that affect segmentation in the peripapillary region. Optimization of the model parameters and their effect on the model performance are considered. Evaluation was based on 1200 images from the publicly available MESSIDOR database. The OD location methodology succeeded in 1189 out of 1200 images (99% success). The average mean absolute distance between the segmented boundary and the reference standard is 10% of the estimated OD radius for all image sizes. Its efficiency, robustness, and accuracy make the OD localization and segmentation scheme described herein suitable for automatic retinal disease screening in a variety of clinical settings.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"644-57"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2198668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30620788","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: 204

Multichannel ECG data compression based on multiscale principal component analysis. 基于多尺度主成分分析的多通道心电数据压缩。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-19 DOI: 10.1109/TITB.2012.2195322

L N Sharma, S Dandapat, Anil Mahanta

引用次数: 103

Content-based microscopic image retrieval system for multi-image queries. 基于内容的多图像查询显微图像检索系统。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-01-31 DOI: 10.1109/TITB.2012.2185829

Hatice Cinar Akakin, Metin N Gurcan

{"title":"Content-based microscopic image retrieval system for multi-image queries.","authors":"Hatice Cinar Akakin, Metin N Gurcan","doi":"10.1109/TITB.2012.2185829","DOIUrl":"10.1109/TITB.2012.2185829","url":null,"abstract":"In this paper, we describe the design and development of a multitiered content-based image retrieval (CBIR) system for microscopic images utilizing a reference database that contains images of more than one disease. The proposed CBIR system uses a multitiered approach to classify and retrieve microscopic images involving their specific subtypes, which are mostly difficult to discriminate and classify. This system enables both multi-image query and slide-level image retrieval in order to protect the semantic consistency among the retrieved images. New weighting terms, inspired from information retrieval theory, are defined for multiple-image query and retrieval. The performance of the system was tested on a dataset including 1666 imaged high power fields extracted from 57 follicular lymphoma (FL) tissue slides with three subtypes and 44 neuroblastoma (NB) tissue slides with four subtypes. Each slide is semantically annotated according to their subtypes by expert pathologists. By using leave-one-slide out testing scheme, the multi-image query algorithm with the proposed weighting strategy achieves about 93% and 86% of average classification accuracy at the first rank retrieval, outperforming the image-level retrieval accuracy by about 38 and 26 percentage points, for FL and NB diseases, respectively.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"758-69"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389578/pdf/nihms363953.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30441669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An integrated healthcare system for personalized chronic disease care in home-hospital environments. 在家庭医院环境中提供个性化慢性病护理的综合医疗保健系统。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-03-14 DOI: 10.1109/TITB.2012.2190989

Sangjin Jeong, Chan-Hyun Youn, Eun Bo Shim, Moonjung Kim, Young Min Cho, Limei Peng

{"title":"An integrated healthcare system for personalized chronic disease care in home-hospital environments.","authors":"Sangjin Jeong, Chan-Hyun Youn, Eun Bo Shim, Moonjung Kim, Young Min Cho, Limei Peng","doi":"10.1109/TITB.2012.2190989","DOIUrl":"https://doi.org/10.1109/TITB.2012.2190989","url":null,"abstract":"Facing the increasing demands and challenges in the area of chronic disease care, various studies on the healthcare system which can, whenever and wherever, extract and process patient data have been conducted. Chronic diseases are the long-term diseases and require the processes of the real-time monitoring, multidimensional quantitative analysis, and the classification of patients' diagnostic information. A healthcare system for chronic diseases is characterized as an at-hospital and at-home service according to a targeted environment. Both services basically aim to provide patients with accurate diagnoses of disease by monitoring a variety of physical states with a number of monitoring methods, but there are differences between home and hospital environments, and the different characteristics should be considered in order to provide more accurate diagnoses for patients, especially, patients having chronic diseases. In this paper, we propose a patient status classification method for effectively identifying and classifying chronic diseases and show the validity of the proposed method. Furthermore, we present a new healthcare system architecture that integrates the at-home and at-hospital environment and discuss the applicability of the architecture using practical target services.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"572-85"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2190989","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30516846","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: 48

Link technologies and BlackBerry mobile health (mHealth) solutions: a review. Link技术和黑莓移动健康(mHealth)解决方案:回顾。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-03-19 DOI: 10.1109/TITB.2012.2191295

Sasan Adibi

引用次数: 98

Oscillations of heart rate and respiration synchronize during affective visual stimulation. 在情感视觉刺激时，心率和呼吸的振荡是同步的。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-05-03 DOI: 10.1109/TITB.2012.2197632

Gaetano Valenza, Antonio Lanatà, Enzo Pasquale Scilingo

引用次数: 58

Evolutionary approach to development of collaborative teleconsultation system for imaging medicine. 影像医学协同远程会诊系统开发的进化方法。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-11 DOI: 10.1109/TITB.2012.2194506

Łukasz Czekierda, Tomasz Masternak, Krzysztof Zieliński

引用次数: 12

ReTrust: attack-resistant and lightweight trust management for medical sensor networks. ReTrust:医疗传感器网络的抗攻击和轻量级信任管理。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-16 DOI: 10.1109/TITB.2012.2194788

Daojing He, Chun Chen, Sammy Chan, Jiajun Bu, Athanasios V Vasilakos

{"title":"ReTrust: attack-resistant and lightweight trust management for medical sensor networks.","authors":"Daojing He, Chun Chen, Sammy Chan, Jiajun Bu, Athanasios V Vasilakos","doi":"10.1109/TITB.2012.2194788","DOIUrl":"https://doi.org/10.1109/TITB.2012.2194788","url":null,"abstract":"Wireless medical sensor networks (MSNs) enable ubiquitous health monitoring of users during their everyday lives, at health sites, without restricting their freedom. Establishing trust among distributed network entities has been recognized as a powerful tool to improve the security and performance of distributed networks such as mobile ad hoc networks and sensor networks. However, most existing trust systems are not well suited for MSNs due to the unique operational and security requirements of MSNs. Moreover, similar to most security schemes, trust management methods themselves can be vulnerable to attacks. Unfortunately, this issue is often ignored in existing trust systems. In this paper, we identify the security and performance challenges facing a sensor network for wireless medical monitoring and suggest it should follow a two-tier architecture. Based on such an architecture, we develop an attack-resistant and lightweight trust management scheme named ReTrust. This paper also reports the experimental results of the Collection Tree Protocol using our proposed system in a network of TelosB motes, which show that ReTrust not only can efficiently detect malicious/faulty behaviors, but can also significantly improve the network performance in practice.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":" ","pages":"623-32"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2194788","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40181290","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: 233

Automatic segmentation of coronary arteries in CT imaging in the presence of kissing vessel artifacts. 冠状动脉CT图像中存在吻血管伪影的自动分割。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-07-01 Epub Date: 2012-04-03 DOI: 10.1109/TITB.2012.2192286

Yin Wang, Panos Liatsis

{"title":"Automatic segmentation of coronary arteries in CT imaging in the presence of kissing vessel artifacts.","authors":"Yin Wang, Panos Liatsis","doi":"10.1109/TITB.2012.2192286","DOIUrl":"https://doi.org/10.1109/TITB.2012.2192286","url":null,"abstract":"In this paper, we present a novel two-step algorithm for segmentation of coronary arteries in computed tomography images based on the framework of active contours. In the proposed method, both global and local intensity information is utilized in the energy calculation. The global term is defined as a normalized cumulative distribution function, which contributes to the overall active contour energy in an adaptive fashion based on image histograms, to deform the active contour away from local stationary points. Possible outliers, such as kissing vessel artifacts, are removed in the postprocessing stage by a slice-by-slice correction scheme based on multiregion competition, where both arteries and kissing vessels are identified and tracked through the slices. The efficiency and the accuracy of the proposed technique are demonstrated on both synthetic and real datasets. The results on clinical datasets show that the method is able to extract the major branches of arteries with an average distance of 0.73 voxels to the manually delineated ground truth data. In the presence of kissing vessel artifacts, the outer surface of the entire coronary tree, extracted by the proposed algorithm, is smooth and contains fewer erroneous regions, originating in kissing vessel artifacts, as compared to the initial segmentation.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 4","pages":"782-8"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2192286","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30557114","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: 23