V. Roberto, A. Zappia, C. Testa, V. D. Mea, G. Frisoni
{"title":"Neuroimaging services on the net","authors":"V. Roberto, A. Zappia, C. Testa, V. D. Mea, G. Frisoni","doi":"10.1109/CBMS.2005.77","DOIUrl":"https://doi.org/10.1109/CBMS.2005.77","url":null,"abstract":"The present paper reports a research project aimed at developing a cluster of clinical Institutions to share data and expertise in the fields of computational neuroanatomy. In particular, our first results concern a network system to transfer magnetic resonance (MR) images, explore and use Voxel-Based Morphometry (VBM)-based reports in four remote clinical settings. The cluster is composed of a central unit for the recording and processing of MR images, and peripheral federated units. The former is LENITEM -Lab of Epidemiology, Neuroimaging and TEleMedicine- Brescia, Italy; the latter are clinical units usually treating patients with neurodegenerative diseases. The cluster is meant to be grounded on a network infrastructure, providing services to the units: the first service to be designed and realised is VBM. The peripheral (client) units transfer MR images to the central one; here they are processed and analysed; a VBM-based report is made available, within a few hours, to the client unit. Neuroimaging techniques give rise to network services provided on demand.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117093916","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}
B. Kane, S. Luz, Gerard Menezes, Donal P. Hollywood
{"title":"Enabling change in healthcare structures through teleconferencing","authors":"B. Kane, S. Luz, Gerard Menezes, Donal P. Hollywood","doi":"10.1109/CBMS.2005.51","DOIUrl":"https://doi.org/10.1109/CBMS.2005.51","url":null,"abstract":"Developments in teleconferencing capabilities have made changes in work practices possible and are facilitating working partnerships between institutions. This study of a teleconferencing initiative examines how the work of a multi-disciplinary team (MDT) is affected by extending the meeting to remote locations. Challenges are highlighted, particularly in relation to the management of information flows, development of norms (meeting protocols) and record keeping.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123599545","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}
H. Mayer, I. Nagy, A. Knoll, E. U. Schirmbeck, R. Bauernschmitt
{"title":"An experimental system for robotic heart surgery","authors":"H. Mayer, I. Nagy, A. Knoll, E. U. Schirmbeck, R. Bauernschmitt","doi":"10.1109/CBMS.2005.25","DOIUrl":"https://doi.org/10.1109/CBMS.2005.25","url":null,"abstract":"In this paper we present an application of robotic systems in minimally invasive surgery. We have assembled a bi-manual telemanipulator capable of delicate operations. Each robotic arm has eight degrees of freedom which enables free manipulation via trocar kinematics. In addition minimally invasive instruments were equipped with strain gauge force sensors that can measure forces along three translational directions of the instrument's shaft. Forces are displayed to the user by means of two haptic devices which are also used for input. An endoscopic stereo-camera provides pictures from the region of operation to the user. In order to emulate a stereoscopic impression, pictures can be displayed by means of either a head mounted display, a CRT-screen equipped with shutter technology or a 3D video projection. With this system we have assessed the quality of force feedback and we have performed typical operations known from cardiac surgery. We also have shown that it is possible to perform certain recurrent tasks (like knot tying) automatically. Within this context we have implemented two application examples. In the first example a surgical knot is recorded and afterwards replayed with increased speed at the same position. The second example is the instantiation of a predefined knot at an arbitrary position.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129044549","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}
F. Gorunescu, Marina Gorunescu, E. El-Darzi, S. Gorunescu
{"title":"An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis","authors":"F. Gorunescu, Marina Gorunescu, E. El-Darzi, S. Gorunescu","doi":"10.1109/CBMS.2005.24","DOIUrl":"https://doi.org/10.1109/CBMS.2005.24","url":null,"abstract":"The performance of a probabilistic neural network is strongly influenced by the smoothing parameter. This paper introduces an evolutionary approach based on genetic algorithm to optimise the search of the smoothing parameter in a modified probabilistic neural network. A Java implementation is introduced and the computational results showed the viability of this hybrid approach to determine the optimum diagnosis for hepatic diseases.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129380514","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}
L. Cordella, G. Percannella, Carlo Sansone, M. Vento
{"title":"A graph-theoretical clustering method for detecting clusters of micro-calcifications in mammographic images","authors":"L. Cordella, G. Percannella, Carlo Sansone, M. Vento","doi":"10.1109/CBMS.2005.8","DOIUrl":"https://doi.org/10.1109/CBMS.2005.8","url":null,"abstract":"In this paper we propose a method based on a graph-theoretical cluster analysis for automatically finding cluster of micro-calcifications in mammographic images. It is applied to the image after a micro-calcification detection phase and is able to cope with the unavoidable false positives that each automatic detection algorithm produces. The proposed approach has been tested on a standard database of 40 mammographic images and revealed to be very effective even when the detection phase gives rise to several false positives.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128694224","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}
M. Donnelly, C. Nugent, D. Finlay, N. Rooney, N. Black
{"title":"Optimisation of neural network training through pre-establishment of synaptic weights applied to body surface mapping classification","authors":"M. Donnelly, C. Nugent, D. Finlay, N. Rooney, N. Black","doi":"10.1109/CBMS.2005.81","DOIUrl":"https://doi.org/10.1109/CBMS.2005.81","url":null,"abstract":"In this paper, we present a modified perceptron that has been optimised to enhance its generalization capabilities through pre-initialisation of the synaptic weights. The rationale for the research is presented highlighting the obvious benefits of such an approach. A description of results obtained from an experiment seeking cardiac classification is presented. The dataset used contained 74 patient records; 30 inferior myocardial infarction and 44 normal. Patient records where acquired using 192-lead body surface potential maps (BSPM). QRS isointegral maps where derived from the 192 lead maps before applying principal component analysis to reduce the dimensionality of the dataset. Only the first 2 principal components were used to create a 2 dimensional space, which can be both easily visualized and modeled by a single perceptron. In addition to the optimised approach proposed, several other classification methods were evaluated on the dataset to generate benchmarks from which comparisons were made. These included linear, probabilistic, non-linear and neural network methods. The optimised approach resulted in sensitivity and specificity figures of 73.33% and 70.45% respectively and provided an overall accuracy which was 2.5% higher than that of the next best classifier.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916681","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}