Eystratios G. Keramidas, Dimitrios K. Iakovidis, D. Maroulis, N. Dimitropoulos
The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, demonstrating noise-resistant properties, is presented, analyzed and evaluated in this study. The textural feature extraction scheme is based on the fuzzyfication of the local binary pattern approach. The proposed features are evaluated on an annotated dataset of B-mode thyroid ultrasound images acquired from 75 patients. The experimental results illustrate that these features provide accurate representation of the thyroid texture. They can be effectively utilized for thyroid nodule detection outperforming other thyroid texture representation approaches that have been recently proposed in the literature.
{"title":"Thyroid Texture Representation via Noise Resistant Image Features","authors":"Eystratios G. Keramidas, Dimitrios K. Iakovidis, D. Maroulis, N. Dimitropoulos","doi":"10.1109/CBMS.2008.108","DOIUrl":"https://doi.org/10.1109/CBMS.2008.108","url":null,"abstract":"The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, demonstrating noise-resistant properties, is presented, analyzed and evaluated in this study. The textural feature extraction scheme is based on the fuzzyfication of the local binary pattern approach. The proposed features are evaluated on an annotated dataset of B-mode thyroid ultrasound images acquired from 75 patients. The experimental results illustrate that these features provide accurate representation of the thyroid texture. They can be effectively utilized for thyroid nodule detection outperforming other thyroid texture representation approaches that have been recently proposed in the literature.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123280208","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}
The graphics annotation is an interaction technique through which the teachers and the students may enhance the visual communication based on free expression forms, practical and artistic ability, imagination, and creativity. This paper explores the knowledge assessment techniques based on the 3D annotations. A few cases are exemplified on the medical elearning objects.
{"title":"Knowledge Assessment for Annotation Techniques on Medical eLearning Objects","authors":"D. Gorgan, T. Stefanut","doi":"10.1109/CBMS.2008.122","DOIUrl":"https://doi.org/10.1109/CBMS.2008.122","url":null,"abstract":"The graphics annotation is an interaction technique through which the teachers and the students may enhance the visual communication based on free expression forms, practical and artistic ability, imagination, and creativity. This paper explores the knowledge assessment techniques based on the 3D annotations. A few cases are exemplified on the medical elearning objects.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123574167","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}
N. Anciaux, Mehdi Benzine, Luc Bouganim, Kévin Jacquemin, P. Pucheral, Shaoyi Yin
Paper-based folders have been widely used to coordinate cares in medical-social networks, but they introduce some burning issues (e.g. privacy protection, remote access to the folder). Replacing the paper-based folder system by a traditional Electronic Healthcare Record (EHR) introduces new drawbacks: forcing of the patient consent, unbounded data retention, no security guarantee outside the server domain and no disconnected access to the folder. To solve these problems, this paper proposes an experimental platform which combines an EHR system with medical-social folders embedded in a new hardware portable device. The objectives pursued are (1) to re-establish a natural and powerful way of protecting and sharing highly sensitive information among trusted parties and (2) to build a shared medical-social folder providing the highest degree of availability, whatever the mode of operation (disconnected or not).
{"title":"Restoring the Patient Control over Her Medical History","authors":"N. Anciaux, Mehdi Benzine, Luc Bouganim, Kévin Jacquemin, P. Pucheral, Shaoyi Yin","doi":"10.1109/CBMS.2008.101","DOIUrl":"https://doi.org/10.1109/CBMS.2008.101","url":null,"abstract":"Paper-based folders have been widely used to coordinate cares in medical-social networks, but they introduce some burning issues (e.g. privacy protection, remote access to the folder). Replacing the paper-based folder system by a traditional Electronic Healthcare Record (EHR) introduces new drawbacks: forcing of the patient consent, unbounded data retention, no security guarantee outside the server domain and no disconnected access to the folder. To solve these problems, this paper proposes an experimental platform which combines an EHR system with medical-social folders embedded in a new hardware portable device. The objectives pursued are (1) to re-establish a natural and powerful way of protecting and sharing highly sensitive information among trusted parties and (2) to build a shared medical-social folder providing the highest degree of availability, whatever the mode of operation (disconnected or not).","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125523252","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}
C. D'Elia, C. Marrocco, M. Molinara, F. Tortorella
Mammography is a not invasive diagnostic technique widely used for early cancer detection in women breast. A particularly significant clue of such disease is the presence of clusters of microcalcifications. The automatic detection and classification of such clusters is a very difficult task because of the small size of the microcalcifications and of the poor quality of the digital mammograms. In literature, all the proposed methods for the automatic detection focus on the single microcalcification. In this paper, an approach that moves the final decision on the regions identified by the segmentation in the phase of clustering is proposed. To this aim, the output of a classifier on the single microcalcifications is used as input data in a clustering algorithms which produce the detected clusters. As final output the system highlights the suspicious clusters, leaving to the specialist the diagnosis responsibility. The approach has been successfully tested on a standard database of 40 mammographic images, publicly available.
{"title":"Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach","authors":"C. D'Elia, C. Marrocco, M. Molinara, F. Tortorella","doi":"10.1109/CBMS.2008.102","DOIUrl":"https://doi.org/10.1109/CBMS.2008.102","url":null,"abstract":"Mammography is a not invasive diagnostic technique widely used for early cancer detection in women breast. A particularly significant clue of such disease is the presence of clusters of microcalcifications. The automatic detection and classification of such clusters is a very difficult task because of the small size of the microcalcifications and of the poor quality of the digital mammograms. In literature, all the proposed methods for the automatic detection focus on the single microcalcification. In this paper, an approach that moves the final decision on the regions identified by the segmentation in the phase of clustering is proposed. To this aim, the output of a classifier on the single microcalcifications is used as input data in a clustering algorithms which produce the detected clusters. As final output the system highlights the suspicious clusters, leaving to the specialist the diagnosis responsibility. The approach has been successfully tested on a standard database of 40 mammographic images, publicly available.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526557","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}
Performance on an information gathering task is shown to be superior in teleconference. Analysis of errors in an exercise revealed the data sources used in co-located and teleconference scenarios. The use of a visual display for text data, in addition to the audio source, is demonstrated in both co-located and teleconference discussions. Audio was used as a source of information more frequently in teleconference which resulted in an overall improvement in task performance. The lesson learned from the higher performance in teleconference, can be applied to improve performance at co-located meetings. Providing appropriate visual data together within audio enhanced spaces can be expected to improve the communication event and reduce medical errors. Results support proposals for the incorporation of physical spaces to improve communication in everyday work in co-operative workplaces, such as hospitals.
{"title":"Taking Lessons from Teleconference to Improve Same Time, Same Place Interaction","authors":"B. Kane, S. Luz","doi":"10.1109/CBMS.2008.137","DOIUrl":"https://doi.org/10.1109/CBMS.2008.137","url":null,"abstract":"Performance on an information gathering task is shown to be superior in teleconference. Analysis of errors in an exercise revealed the data sources used in co-located and teleconference scenarios. The use of a visual display for text data, in addition to the audio source, is demonstrated in both co-located and teleconference discussions. Audio was used as a source of information more frequently in teleconference which resulted in an overall improvement in task performance. The lesson learned from the higher performance in teleconference, can be applied to improve performance at co-located meetings. Providing appropriate visual data together within audio enhanced spaces can be expected to improve the communication event and reduce medical errors. Results support proposals for the incorporation of physical spaces to improve communication in everyday work in co-operative workplaces, such as hospitals.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606269","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. S. Iyengar, J. Svirbely, M. Rusu, Jack W. Smith
Diagnostic tests are characterized by multiple performance measures whose complex mutual interactions are difficult for medical and nursing students to understand. We describe VITA (visual and interactive test analysis), an interactive multi-dimensional visualization system designed to display the intricate, non-linear relationships between these measures. This version of VITA has a focus on post-test predictive values, sensitivity, specificity, prevalence, and test cut-offs. VITA can help students to understand and appreciate the complex non-linear relationships inherent in medical decision-making.
{"title":"VITA - An Interactive 3-D Visualization System to Enhance Student Understanding of Mathematical Concepts in Medical Decision-Making","authors":"M. S. Iyengar, J. Svirbely, M. Rusu, Jack W. Smith","doi":"10.1109/CBMS.2008.35","DOIUrl":"https://doi.org/10.1109/CBMS.2008.35","url":null,"abstract":"Diagnostic tests are characterized by multiple performance measures whose complex mutual interactions are difficult for medical and nursing students to understand. We describe VITA (visual and interactive test analysis), an interactive multi-dimensional visualization system designed to display the intricate, non-linear relationships between these measures. This version of VITA has a focus on post-test predictive values, sensitivity, specificity, prevalence, and test cut-offs. VITA can help students to understand and appreciate the complex non-linear relationships inherent in medical decision-making.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129986544","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}
This paper presents a method aimed to noise removal in MRI (magnetic resonance imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In our schema, the diffusion equation of the filter has been modified to take into account the edges direction. This allows the filter to blur uniform areas, while it better preserves the edges. Both quantitative and qualitative evaluation is presented and the results are compared with other methods.
{"title":"Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion","authors":"R. Gallea, E. Ardizzone, R. Pirrone, O. Gambino","doi":"10.1109/CBMS.2008.31","DOIUrl":"https://doi.org/10.1109/CBMS.2008.31","url":null,"abstract":"This paper presents a method aimed to noise removal in MRI (magnetic resonance imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In our schema, the diffusion equation of the filter has been modified to take into account the edges direction. This allows the filter to blur uniform areas, while it better preserves the edges. Both quantitative and qualitative evaluation is presented and the results are compared with other methods.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288041","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}
Finite element model could be generated by computed tomography (CT) data set which provide accurate information about bone geometry and tissue density. In this work, an efficient approach for computing CT numbers for each element is presented. Mechanical properties of bone tissue can be estimated according to the relationship between tissue density and CT numbers. The experimental results show that this method can be applied to estimate mechanical properties of bone tissue accurately. The quality of meshes of geometry model and the number of materials are two key factors that affect the accuracy and efficiency of biomechanical analysis. In addition, the choice of relationship between CT numbers andelastic modulus should be proved by further study, which may help many researchers develop more accurate models.
{"title":"Fast Mechanical Properties Estimation for Finite Element Model of Bone Tissue","authors":"Sheng-Zheng Wang, Jie Yang","doi":"10.1109/CBMS.2008.18","DOIUrl":"https://doi.org/10.1109/CBMS.2008.18","url":null,"abstract":"Finite element model could be generated by computed tomography (CT) data set which provide accurate information about bone geometry and tissue density. In this work, an efficient approach for computing CT numbers for each element is presented. Mechanical properties of bone tissue can be estimated according to the relationship between tissue density and CT numbers. The experimental results show that this method can be applied to estimate mechanical properties of bone tissue accurately. The quality of meshes of geometry model and the number of materials are two key factors that affect the accuracy and efficiency of biomechanical analysis. In addition, the choice of relationship between CT numbers andelastic modulus should be proved by further study, which may help many researchers develop more accurate models.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127604313","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}
In this paper we show how grid computing can be used to improve the operation of a medical image search system. The paper introduces the basic principles of a content-based image retrieval (CBIR) system and identifies the computationally challenging tasks in the system. For the computationally challenging tasks an efficient design is proposed that uses distributed grid computing to carry out the image processing in a distributed and efficient way. The algorithms of the search system are executed by using a real medical image collection as input and a grid computing infrastructure to provide the needed computing power. Finally, the results show how the image processing task that required tens of hours to complete can be processed by using only a fraction of the originally required computing time.
{"title":"Using the Grid for Enhancing the Performance of a Medical Image Search Engine","authors":"M. Pitkänen, Xin Zhou, A. Hyvärinen, H. Müller","doi":"10.1109/CBMS.2008.30","DOIUrl":"https://doi.org/10.1109/CBMS.2008.30","url":null,"abstract":"In this paper we show how grid computing can be used to improve the operation of a medical image search system. The paper introduces the basic principles of a content-based image retrieval (CBIR) system and identifies the computationally challenging tasks in the system. For the computationally challenging tasks an efficient design is proposed that uses distributed grid computing to carry out the image processing in a distributed and efficient way. The algorithms of the search system are executed by using a real medical image collection as input and a grid computing infrastructure to provide the needed computing power. Finally, the results show how the image processing task that required tens of hours to complete can be processed by using only a fraction of the originally required computing time.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130897496","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}
Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, G. Tradigo, P. Veltri
Preprocessing mass spectrometry (MS) data has been recognized as a crucial preliminary phase in order to perform data management and knowledge discovery tasks on mass spectra. The huge dimensionality and heterogeneity of MS data make mandatory the use of tools that are able to guide the user in the MS preprocessing task. However, most MS preprocessing tools are typically designed to perform only some preprocessing steps and are strictly coupled with MS data analysis modules. In this paper, we present mass spectra preprocessing tool (MSPtool), a user-friendly versatile tool for preprocessing MS data. MSPtool provides the user with a wide set of MS preprocessing steps by means of an easy-to-use graphical interface. Also, this tool has been embedded in a time-series-based framework for MS data clustering.
{"title":"MSPtool: A Versatile Tool for Mass Spectrometry Data Preprocessing","authors":"Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, G. Tradigo, P. Veltri","doi":"10.1109/CBMS.2008.53","DOIUrl":"https://doi.org/10.1109/CBMS.2008.53","url":null,"abstract":"Preprocessing mass spectrometry (MS) data has been recognized as a crucial preliminary phase in order to perform data management and knowledge discovery tasks on mass spectra. The huge dimensionality and heterogeneity of MS data make mandatory the use of tools that are able to guide the user in the MS preprocessing task. However, most MS preprocessing tools are typically designed to perform only some preprocessing steps and are strictly coupled with MS data analysis modules. In this paper, we present mass spectra preprocessing tool (MSPtool), a user-friendly versatile tool for preprocessing MS data. MSPtool provides the user with a wide set of MS preprocessing steps by means of an easy-to-use graphical interface. Also, this tool has been embedded in a time-series-based framework for MS data clustering.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134257512","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}
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