IEEE Transactions on Information Technology in Biomedicine最新文献_第9页

Abnormality segmentation in brain images via distributed estimation. 基于分布式估计的脑图像异常分割。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-05-01 Epub Date: 2011-12-07 DOI: 10.1109/TITB.2011.2178422

Evangelia I Zacharaki, Anastasios Bezerianos

{"title":"Abnormality segmentation in brain images via distributed estimation.","authors":"Evangelia I Zacharaki, Anastasios Bezerianos","doi":"10.1109/TITB.2011.2178422","DOIUrl":"https://doi.org/10.1109/TITB.2011.2178422","url":null,"abstract":"The aim of this paper is to introduce a novel semisupervised scheme for abnormality detection and segmentation in medical images. Semisupervised learning does not require pathology modeling and, thus, allows high degree of automation. In abnormality detection, a vector is characterized as anomalous if it does not comply with the probability distribution obtained from normal data. The estimation of the probability density function, however, is usually not feasible due to large data dimensionality. In order to overcome this challenge, we treat every image as a network of locally coherent image partitions (overlapping blocks). We formulate and maximize a strictly concave likelihood function estimating abnormality for each partition and fuse the local estimates into a globally optimal estimate that satisfies the consistency constraints, based on a distributed estimation algorithm. The likelihood function consists of a model and a data term and is formulated as a quadratic programming problem. The method is applied for automatically segmenting brain pathologies, such as simulated brain infarction and dysplasia, as well as real lesions in diabetes patients. The assessment of the method using receiver operating characteristic analysis demonstrates improvement in image segmentation over two-group analysis performed with Statistical Parametric Mapping (SPM).","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 3","pages":"330-8"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2178422","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30315425","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: 18

Low-complexity image processing for real-time detection of neonatal clonic seizures. 低复杂度图像处理实时检测新生儿阵挛性癫痫。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-05-01 Epub Date: 2012-02-03 DOI: 10.1109/TITB.2012.2186586

Guy Mathurin Kouamou Ntonfo, Gianluigi Ferrari, Riccardo Raheli, Francesco Pisani

{"title":"Low-complexity image processing for real-time detection of neonatal clonic seizures.","authors":"Guy Mathurin Kouamou Ntonfo, Gianluigi Ferrari, Riccardo Raheli, Francesco Pisani","doi":"10.1109/TITB.2012.2186586","DOIUrl":"https://doi.org/10.1109/TITB.2012.2186586","url":null,"abstract":"In this paper, we consider a novel low-complexity real-time image-processing-based approach to the detection of neonatal clonic seizures. Our approach is based on the extraction, from a video of a newborn, of an average luminance signal representative of the body movements. Since clonic seizures are characterized by periodic movements of parts of the body (e.g., the limbs), by evaluating the periodicity of the extracted average luminance signal it is possible to detect the presence of a clonic seizure. The periodicity is investigated, through a hybrid autocorrelation-Yin estimation technique, on a per-window basis, where a time window is defined as a sequence of consecutive video frames. While processing is first carried out on a single window basis, we extend our approach to interlaced windows. The performance of the proposed detection algorithm is investigated, in terms of sensitivity and specificity, through receiver operating characteristic curves, considering video recordings of newborns affected by neonatal seizures.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 3","pages":"375-82"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2186586","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30446415","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: 37

A RESTful image gateway for multiple medical image repositories. 用于多个医疗映像存储库的RESTful映像网关。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-05-01 Epub Date: 2011-11-18 DOI: 10.1109/TITB.2011.2176497

Frederico Valente, Carlos Viana-Ferreira, Carlos Costa, José Luis Oliveira

{"title":"A RESTful image gateway for multiple medical image repositories.","authors":"Frederico Valente, Carlos Viana-Ferreira, Carlos Costa, José Luis Oliveira","doi":"10.1109/TITB.2011.2176497","DOIUrl":"https://doi.org/10.1109/TITB.2011.2176497","url":null,"abstract":"Mobile technologies are increasingly important components in telemedicine systems and are becoming powerful decision support tools. Universal access to data may already be achieved by resorting to the latest generation of tablet devices and smartphones. However, the protocols employed for communicating with image repositories are not suited to exchange data with mobile devices. In this paper, we present an extensible approach to solving the problem of querying and delivering data in a format that is suitable for the bandwidth and graphic capacities of mobile devices. We describe a three-tiered component-based gateway that acts as an intermediary between medical applications and a number of Picture Archiving and Communication Systems (PACS). The interface with the gateway is accomplished using Hypertext Transfer Protocol (HTTP) requests following a Representational State Transfer (REST) methodology, which relieves developers from dealing with complex medical imaging protocols and allows the processing of data on the server side.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 3","pages":"356-64"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2176497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30135043","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: 37

A novel semiautomated atherosclerotic plaque characterization method using grayscale intravascular ultrasound images: comparison with virtual histology. 一种使用灰度血管内超声图像的新型半自动动脉粥样硬化斑块表征方法:与虚拟组织学的比较。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-05-01 Epub Date: 2011-12-23 DOI: 10.1109/TITB.2011.2181529

Lambros S Athanasiou, Petros S Karvelis, Vasilis D Tsakanikas, Katerina K Naka, Lampros K Michalis, Christos V Bourantas, Dimitrios I Fotiadis

{"title":"A novel semiautomated atherosclerotic plaque characterization method using grayscale intravascular ultrasound images: comparison with virtual histology.","authors":"Lambros S Athanasiou, Petros S Karvelis, Vasilis D Tsakanikas, Katerina K Naka, Lampros K Michalis, Christos V Bourantas, Dimitrios I Fotiadis","doi":"10.1109/TITB.2011.2181529","DOIUrl":"https://doi.org/10.1109/TITB.2011.2181529","url":null,"abstract":"Intravascular ultrasound (IVUS) virtual histology (VH-IVUS) is a new technique, which provides automated plaque characterization in IVUS frames, using the ultrasound backscattered RF-signals. However, its computation can only be performed once per cardiac cycle (ECG-gated technique), which significantly decreases the number of characterized IVUS frames. Also atherosclerotic plaques in images that have been acquired by machines, which are not equipped with the VH software, cannot be characterized. To address these limitations, we have developed a plaque characterization technique that can be applied in grayscale IVUS images. Our semiautomated method is based on a three-step approach. In the first step, the plaque area [region of interest (ROI)] is detected semiautomatically. In the second step, a set of features is extracted for each pixel of the ROI and in the third step, a random forest classifier is used to classify these pixels into four classes: dense calcium, necrotic core, fibrotic tissue, and fibro-fatty tissue. In order to train and validate our method, we used 300 IVUS frames acquired from virtual histology examinations from ten patients. The overall accuracy of the proposed method was 85.65% suggesting that our approach is reliable and may be further investigated in the clinical and research arena.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 3","pages":"391-400"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2181529","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30352957","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: 42

Toward semantic interoperability of electronic health records. 迈向电子健康档案的语义互操作性。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-05-01 Epub Date: 2011-12-30 DOI: 10.1109/TITB.2011.2180917

Idoia Berges, Jesús Bermúdez, Arantza Illarramendi

{"title":"Toward semantic interoperability of electronic health records.","authors":"Idoia Berges, Jesús Bermúdez, Arantza Illarramendi","doi":"10.1109/TITB.2011.2180917","DOIUrl":"https://doi.org/10.1109/TITB.2011.2180917","url":null,"abstract":"Although the goal of achieving semantic interoperability of electronic health records (EHRs) is pursued by many researchers, it has not been accomplished yet. In this paper, we present a proposal that smoothes out the way toward the achievement of that goal. In particular, our study focuses on medical diagnoses statements. In summary, the main contributions of our ontology-based proposal are the following: first, it includes a canonical ontology whose EHR-related terms focus on semantic aspects. As a result, their descriptions are independent of languages and technology aspects used in different organizations to represent EHRs. Moreover, those terms are related to their corresponding codes in well-known medical terminologies. Second, it deals with modules that allow obtaining rich ontological representations of EHR information managed by proprietary models of health information systems. The features of one specific module are shown as reference. Third, it considers the necessary mapping axioms between ontological terms enhanced with so-called path mappings. This feature smoothes out structural differences between heterogeneous EHR representations, allowing proper alignment of information.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 3","pages":"424-31"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2180917","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30364279","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: 43

Real-time sleep apnea detection by classifier combination. 基于分类器组合的睡眠呼吸暂停实时检测。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-05-01 Epub Date: 2012-02-16 DOI: 10.1109/TITB.2012.2188299

Baile Xie, Hlaing Minn

引用次数: 234

Numerical characterization and modeling of subject-specific ultrawideband body-centric radio channels and systems for healthcare applications. 用于医疗保健应用的特定主题超宽带身体中心无线电信道和系统的数值表征和建模。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-03-01 Epub Date: 2011-11-29 DOI: 10.1109/TITB.2011.2177526

Qammer Hussain Abbasi, Andrea Sani, Akram Alomainy, Yang Hao

{"title":"Numerical characterization and modeling of subject-specific ultrawideband body-centric radio channels and systems for healthcare applications.","authors":"Qammer Hussain Abbasi, Andrea Sani, Akram Alomainy, Yang Hao","doi":"10.1109/TITB.2011.2177526","DOIUrl":"https://doi.org/10.1109/TITB.2011.2177526","url":null,"abstract":"The paper presents a subject-specific radio propagation study and system modeling in wireless body area networks using a simulation tool based on the parallel finite-difference time-domain technique. This technique is well suited to model the radio propagation around complex, inhomogeneous objects such as the human body. The impact of different digital phantoms in on-body radio channel and system performance was studied. Simulations were performed at the frequency of 3-10 GHz considering a typical hospital environment, and were validated by on-site measurements with reasonably good agreement. The analysis demonstrated that the characteristics of the on-body radio channel and system performance are subject-specific and are associated with human genders, height, and body mass index. Maximum variations of almost 18.51% are observed in path loss exponent due to change of subject, which gives variations of above 50% in system bit error rate performance. Therefore, careful consideration of subject-specific parameters are necessary for achieving energy efficient and reliable radio links and system performance for body-centric wireless network.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 2","pages":"221-7"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2177526","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30307434","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: 69

Subject-specific estimation of central aortic blood pressure using an individualized transfer function: a preliminary feasibility study. 使用个体化传递函数估计中心主动脉血压:初步可行性研究。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-03-01 Epub Date: 2011-11-29 DOI: 10.1109/TITB.2011.2177668

Jin-Oh Hahn, Andrew T Reisner, Farouc A Jaffer, H Harry Asada

{"title":"Subject-specific estimation of central aortic blood pressure using an individualized transfer function: a preliminary feasibility study.","authors":"Jin-Oh Hahn, Andrew T Reisner, Farouc A Jaffer, H Harry Asada","doi":"10.1109/TITB.2011.2177668","DOIUrl":"https://doi.org/10.1109/TITB.2011.2177668","url":null,"abstract":"This paper presents a new approach to the estimation of unknown central aortic blood pressure waveform from a directly measured peripheral blood pressure waveform, in which a physics-based model is employed to solve for a subject- and state-specific individualized transfer function (ITF). The ITF provides the means to estimate the unknown central aortic blood pressure from the peripheral blood pressure. Initial proof-of-principle for the ITF is demonstrated experimentally through an in vivo protocol. In swine subjects taken through wide range of physiologic conditions, the ITF was on average able to provide central aortic blood pressure waveforms more accurately than a nonindividualized transfer function. Its usefulness was most evident when the subject's pulse transit time deviated from normative values. In these circumstances, the ITF yielded statistically significant reductions over a nonindividualized transfer function in the following three parameters: 1) 30% reduction in the root-mean-squared error between estimated versus actual central aortic blood pressure waveform (p < 10 (-4)), 2) >50% reduction in the error between estimated versus actual systolic and pulse pressures ( p < 10 (-4)), and 3) a reduction in the overall breakdown rate (i.e., the frequency of estimation errors >3 mmHg, p < 10 (-4)). In conclusion, the ITF may offer an attractive alternative to existing methods that estimates the central aortic blood pressure waveform, and may be particularly useful in nonnormative physiologic conditions.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 2","pages":"212-20"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2011.2177668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30307435","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: 43

Personalization and adaptation to the medium and context in a fall detection system. 跌倒检测系统中对媒介和环境的个性化和适应性。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-03-01 Epub Date: 2012-01-27 DOI: 10.1109/TITB.2012.2185851

David Naranjo-Hernandez, Laura M Roa, Javier Reina-Tosina, Miguel Angel Estudillo-Valderrama

{"title":"Personalization and adaptation to the medium and context in a fall detection system.","authors":"David Naranjo-Hernandez, Laura M Roa, Javier Reina-Tosina, Miguel Angel Estudillo-Valderrama","doi":"10.1109/TITB.2012.2185851","DOIUrl":"https://doi.org/10.1109/TITB.2012.2185851","url":null,"abstract":"The main objective of this paper is to present a distributed processing architecture that explicitly integrates capabilities for its continuous adaptation to the medium, the context, and the user. This architecture is applied to a falling detection system through: 1) an optimization module that finds the optimal operation parameters for the detection algorithms of the system devices; 2) a distributed processing architecture that provides capabilities for remote firmware update of the smart sensors. The smart sensor also provides an estimation of activities of daily living (ADL), which results very useful in monitoring of the elderly and patients with chronic diseases. The developed experiments have demonstrated the feasibility of the system and specifically, the accuracy of the proposed algorithms and procedures (100% success for impact detection, 100% sensitivity and 95.68% specificity rates for fall detection, and 100% success for ADL level classification). Although the experiments have been developed with a cohort of young volunteers, the personalization and adaption mechanisms of the proposed architecture related to the concepts of \"design for all\" and \"design space\" will significantly ease the adaptation of the system for its application to the elderly.","PeriodicalId":55008,"journal":{"name":"IEEE Transactions on Information Technology in Biomedicine","volume":"16 2","pages":"264-71"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TITB.2012.2185851","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30421013","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: 33

Emerging technologies for patient-specific healthcare. 针对特定患者的医疗保健的新兴技术。

IEEE Transactions on Information Technology in Biomedicine Pub Date : 2012-03-01 DOI: 10.1109/TITB.2012.2187810

Metin Akay, Themis P Exarchos, Dimitrios I Fotiadis, Konstantina S Nikita

引用次数: 11