2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)最新文献

{"title":"MRI analysis for hippocampus segmentation on a distributed infrastructure","authors":"S. Tangaro, N. Amoroso, M. Antonacci, M. Boccardi, M. Bocchetta, A. Chincarini, D. Diacono, G. Donvito, R. Errico, G. Frisoni, Tommaso Maggipinto, A. Monaco, F. Sensi, A. Tateo, R. Bellotti","doi":"10.1109/MEMEA.2016.7533716","DOIUrl":"https://doi.org/10.1109/MEMEA.2016.7533716","url":null,"abstract":"Medical image computing raises new challenges due to the scale and the complexity of the required analyses. Medical image databases are currently available to supply clinical diagnosis. For instance, it is possible to provide diagnostic information based on an imaging biomarker comparing a single case to the reference group (controls or patients with disease). At the same time many sophisticated and computationally intensive algorithms have been implemented to extract useful information from medical images. Many applications would take great advantage by using scientific workflow technology due to its design, rapid implementation and reuse. However this technology requires a distributed computing infrastructure (such as Grid or Cloud) to be executed efficiently. One of the most used workflow manager for medical image processing is the LONI pipeline (LP), a graphical workbench developed by the Laboratory of Neuro Imaging (http://pipeline.loni.usc.edu). In this article we present a general approach to submit and monitor workflows on distributed infrastructures using LONI Pipeline, including European Grid Infrastructure (EGI) and Torque-based batch farm. In this paper we implemented a complete segmentation pipeline in brain magnetic resonance imaging (MRI). It requires time-consuming and data-intensive processing and for which reducing the computing time is crucial to meet clinical practice constraints. The developed approach is based on web services and can be used for any medical imaging application.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114483150","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}

{"title":"Comprehensive system for the evaluation of the attention level of a driver","authors":"S. Pullano, A. Fiorillo, A. L. Gatta, F. Lamonaca, D. L. Carní","doi":"10.1109/MeMeA.2016.7533710","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533710","url":null,"abstract":"Nowadays, monitoring the attention level of a driver is a useful tool for assuring a better degree of safety aboard motor vehicles. Recent literature reports different technologies that have been explored for evaluating various critical physical parameters of drivers. This paper presents an attempt to integrate different non-intrusive monitoring systems which include an eye-blink detection system which works by means of a camera and head-position monitoring system based on an ultrasonic transmitter/receiver network. The information retrieved by the comprehensive system will be of help either for the evaluation of the driver's condition or for boosting other devices often placed in the car such as an alcohol detection system which can pick up dangerous head positions. Two separate algorithms have been implemented and the experiment will be presented in order to validate the proposed systems and algorithms.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124050578","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}

{"title":"Fiber Bragg grating sensors for spatially resolved measurements in ex-vivo pancreatic laser ablation","authors":"D. Tosi, Abzal Adilzhan Kamilla Aliakhmet, P. Saccomandi, E. Schena, S. Silvestri, D. Duraibabu, S. Poeggel, G. Leen, E. Lewis","doi":"10.1109/MeMeA.2016.7533806","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533806","url":null,"abstract":"Laser ablation (LA) is an emerging technology for mini-invasive treatment of tumors, and operates by damaging cancer cells by means of focused light-induced selective heating. In-situ temperature monitoring, with micro-sensors, may be particularly beneficial for both estimating in real-time the LA efficacy, and build prediction and controls for LA procedures. In this paper, we present our latest results on spatially resolved temperature monitoring, based on fiber Bragg grating (FBG). We used in-line FBG arrays based on 6 and 35 FBGs to achieve spatially resolved thermal sensing in LA applied to porcine pancreas. The main experimental results and their implications are hereby discussed.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125999060","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}

{"title":"Electrical activation of nervous system by sonar-based electronic interface","authors":"R. Citraro, E. Russo, G. Sarro, M. G. Bianco, M. Menniti, S. Pullano, A. Fiorillo","doi":"10.1109/MeMeA.2016.7533754","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533754","url":null,"abstract":"In this paper we investigated neural activation by means of electrical impulses delivered along the auditory pathway in rats. The pulsed electrical signals, generated by a bio-inspired sonar system and processed by an electronic interface, were used to stimulate the amygdala, the inferior colliculus and the auditory cortex. We modulated the neural activity through different signal patterns related to ultrasound echoes and then performed Principal Component Analysis in order to classify the ECoG response to stimuli. The statistical analysis revealed the existence of a significant difference among responses and background signals. In addition, Fourier Transform of ECoG traces evidenced an increase in beta content in the amygdala while it was found that gamma waves prevail in the inferior colliculus and the auditory cortex, the latter highlighting the ultrasound nature of the electrical stimuli.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127114291","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}

{"title":"ARTSENS® Pen: A portable, image-free device for automated evaluation of vascular stiffness","authors":"J. Joseph, M. Shah, M. Sivaprakasam","doi":"10.1109/MeMeA.2016.7533787","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533787","url":null,"abstract":"Evaluation of vascular stiffness is significant in diagnosis for early detection of vascular injury and has potential in screening individuals at risk of future cardiovascular events. State of art techniques use an imaging system for measuring carotid artery stiffness, or rely on carotid-femoral pulse wave velocity (PWV) to evaluate vascular stiffness. These techniques are costly, require expertise to perform and are not amenable for scaling to the population level. To address this gap, we have developed ARTSENS® Pen, a high portable, small, ultrasound based instrument for automated evaluation of carotid artery stiffness. The device has an integrated hardware for ultrasound signal acquisition and digitization that operate along with any Windows tablet for data visualization and result display. Algorithms for real time signal processing and automated artery wall identification and tracking ensures a completely automated measurement of carotid artery stiffness with no operator input. The accuracy of automated arterial dimension measurements performed by ARTSENS®Pen is verified by phantom studies in comparison with a reference ultrasound imaging system. The ability of the device to provide reliable measures of arterial stiffness in-vivo is verified by a systematic study on 29 volunteers. The inter operator and intra-operator variability of stiffness index, β was evaluated to be 17% and 9% respectively. The ARTSENS® Pen was found to be capable of providing accurate and repeatable measures of arterial stiffness in an easy manner and has strong potential in large scale vascular screening.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127462278","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}

{"title":"Adaptive eulerian video magnification methods to extract heart rate from thermal video","authors":"Stephanie L. Bennett, R. Goubran, F. Knoefel","doi":"10.1109/MeMeA.2016.7533818","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533818","url":null,"abstract":"The world's expanding and aging population has created a demand for inexpensive, unobtrusive, automated healthcare solutions. Eulerian Video Magnification (EVM) aids in the development of these solutions by allowing for the extraction of physiological signals from video data. This paper examines the potential of thermal video in conjunction with EVM to extract physiological measures, particularly heart rate. This paper also proposes an adaptive EVM approach to amplify the desired signal, while avoiding noise amplification. A subject, wearing a textile sensor band collecting ECG, sat still while both a thermal camera and an iPad camera captured video. The iPad video was subjected to EVM, using a wide bandpass filter and low magnification factor. Mean intensity signals for five Regions of Interest (ROIs) were then calculated to extract a signal representing heart rate. The ECG signal was used to validate the ROI resulting in the mean intensity signal best representing heart rate. The thermal video was then subjected to EVM using the same wide bandpass filter and the identified ideal ROI mean intensity post-processing. This signal was compared to the enhanced iPad video mean intensity signal to verify the correct signal was extracted. The original thermal video was subjected again to EVM processing and ROI mean intensity post-processing, this time using an adapted, targeted narrow bandpass filter. Results indicated that thermal video, in conjunction with the proposed adapted EVM method and ROI post-processing can reveal physiological signals like heart rate and limit the potential of revealing an amplified noise signal.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125524361","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}

{"title":"SAR measurement and distribution in defined body volumes through the development of MRI phantoms","authors":"A. A. Russo, Silvio Valeri, G. Baccani, Fabrizio Delia, R. Delia","doi":"10.1109/MeMeA.2016.7533700","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533700","url":null,"abstract":"The development of a measurement methodology for the SAR evaluation in a patient, undergoing MRI examination, is presented. A suitable phantom model has been created to provide information about both the absorbed SAR values in the interested irradiated volumes and the SAR distribution therein. At the same time, the method should be able to validate the SAR values, provided by the MR apparatus for each individual exam, through its own mathematical algorithm, in relation to the used sequences and the patient's characteristics. Since this algorithm is generally unknown, tests were performed using tomographs from two different manufacturers, in order to collect the greatest possible amount of data. Moreover, the creation of a phantom, suitable to measure the SAR for different sequences of an MRI device, can provide also “real-time” information about the status of the MR equipment, regarding the quality assurance program, requested by national legislation. Furthermore, “a priori” and accurate knowledge, as regards the chosen sequence and the energy rate released in a given quantity of material (i.e. SAR), would guarantee a safer use of MRI also for patients implanted with last-generation of pacemakers, electromagnetically compatible with MR devices with a flux density of the static magnetic field up to 1.5 tesla. The measurements were carried out utilizing the calorimetric method. This method evaluates the energy rate in unit time, if the specific heat of a compound and the difference between the temperatures before and after the sequence are known. For the optimization of the phantom sizes, five systems of different shape, dimension and geometry were created. The temperatures were measured by a reference thermometer with a sensibility of 0.01 °C, used for the calibration of the elements. Two filling materials were chosen for the phantoms: a saline solution of NaCl (0.06M) for the SAR measurements and an ECG commercial gel, for the evaluation of the SAR distribution.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"2 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114013662","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}

{"title":"Towards ultrasound hyperthermia safe treatments using computational intelligence techniques","authors":"M. Ruano, A. Ruano","doi":"10.1109/MEMEA.2016.7533814","DOIUrl":"https://doi.org/10.1109/MEMEA.2016.7533814","url":null,"abstract":"A key feature for safe application of hyperthermia treatments is the efficient delimitation of the treatment region avoiding collateral damages. The efficacy of treatment depends on an ultrasound power intensity profile to accomplish the temperature clinically required. Many hyperthermia procedures proposed in the literature rely on a-priori knowledge of the physical properties of tissue. The soft computing models presented in this article are only based on measured data, collected from tissue phantoms reflecting the reactions of human tissues to ultrasounds. From homogeneous to heterogeneous tissues, different soft computing techniques were developed accordingly to experimental constraints. The present state of development is nearly approaching the identification of a computational model to be safety applied in in-vivo hyperthermia sessions.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122838898","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}

{"title":"Optical polarization properties of zeolite thin films: Aspects for medical applications","authors":"A. Fiorillo, S. P. Rudenko, M. Stetsenko, L. S. Maksimenko","doi":"10.1109/MeMeA.2016.7533757","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533757","url":null,"abstract":"Zeolite porous films have been produced by spin coating deposition at low temperature according to a procedure fully compatible with integrated circuit technology. Optical polarization properties of the deposited film have been studied by the modulation-polarization spectroscopy technique. Low-dielectric properties and internal porosity structure of the zeolite on Si wafer can be obtained. The aspects of these studies for biosensor applications are discussed, although in the beginning the zeolite thin films undergoes to studying.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127934184","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}

{"title":"Measuring the drug absorbed by biological tissues in laboratory emulation of dermatological topical treatments","authors":"P. Arpaia, U. Cesaro, N. Moccaldi","doi":"10.1109/MeMeA.2016.7533794","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533794","url":null,"abstract":"An experimental procedure for measuring the drug absorbed by a biological tissue in laboratory emulation of dermatological topical treatments is proposed. Laboratory emulation is based on the analysis of the eggplant electrical reaction to the injection of drug. Eggplant and human tissue are both well modeled by a distributed circuit model described by the ColeCole empirical equation. An exploratory measurement campaign aimed at investigating the relationship between the injected drug amount and the measured impedance is reported. The basic ideas, the measurement system design, and the proposed measurement procedure are illustrated. Then, its feasibility is proved experimentally and the results of the metrological characterization are reported and discussed. Results point out that, by a “simple” measurement of the impedance module (and not a spectroscopy), the amount of injected drug can be assessed by acceptable uncertainty.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132837650","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}