Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627786
M. Häfner, M. Liedlgruber, A. Uhl
The main question we try to answer in this work is whether it is feasible to employ super-resolution (SR) algorithms to increase the spatial resolution of endoscopic high-definition (HD) images in order to reveal new details which may have got lost due to the limited endoscope magnification inherent to the HD endoscope used (e.g. mucosal structures). For this purpose we propose a SR algorithm, which is based on the Projection onto convex sets (POCS) approach. This algorithm is able to avoid over-sharpening, which is often seen with other methods. Since POCS-based approaches are iterative ones, we also propose an adaptive iteration scheme. We compare the quality of the reconstruction of our method against the quality achieved by other SR methods. This is done on standard test images as well as on images obtained from endoscopic video frames. We show that, while our approach produces competitive results on standard test images, we are not able to reveal new details in endoscopic images for various reasons.
{"title":"POCS-based super-resolution for HD endoscopy video frames","authors":"M. Häfner, M. Liedlgruber, A. Uhl","doi":"10.1109/CBMS.2013.6627786","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627786","url":null,"abstract":"The main question we try to answer in this work is whether it is feasible to employ super-resolution (SR) algorithms to increase the spatial resolution of endoscopic high-definition (HD) images in order to reveal new details which may have got lost due to the limited endoscope magnification inherent to the HD endoscope used (e.g. mucosal structures). For this purpose we propose a SR algorithm, which is based on the Projection onto convex sets (POCS) approach. This algorithm is able to avoid over-sharpening, which is often seen with other methods. Since POCS-based approaches are iterative ones, we also propose an adaptive iteration scheme. We compare the quality of the reconstruction of our method against the quality achieved by other SR methods. This is done on standard test images as well as on images obtained from endoscopic video frames. We show that, while our approach produces competitive results on standard test images, we are not able to reveal new details in endoscopic images for various reasons.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"20 1","pages":"185-190"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72849497","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627840
A. Jimenez-Castellanos, Maximo Ramirez-Robles, A. Khalifa, C. Perrin, V. Maojo
Education and research are two fundamental pillars to ensure progress. Without an appropriate education, quality research is not feasible. In the case of developing countries, these issues become more challenging since literacy and access to information are still unsolved. In this regard, numerous initiatives around the world have been launched for promoting education by applying Information and Communication Technologies (ICT). However, introducing such technologies without considering the actual needs and idiosyncratic issues of target countries usually leads to failure since problems are different in developed countries than in developing ones. In this paper we present the studies carried out within the framework of the AFRICA BUILD project aimed to identify how Cloud computing technologies might contribute to alleviate the existing educational and training gaps in health research in Africa.
{"title":"Identifying gaps in health research and training in Africa: Designing online surveys for Cloud-oriented training","authors":"A. Jimenez-Castellanos, Maximo Ramirez-Robles, A. Khalifa, C. Perrin, V. Maojo","doi":"10.1109/CBMS.2013.6627840","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627840","url":null,"abstract":"Education and research are two fundamental pillars to ensure progress. Without an appropriate education, quality research is not feasible. In the case of developing countries, these issues become more challenging since literacy and access to information are still unsolved. In this regard, numerous initiatives around the world have been launched for promoting education by applying Information and Communication Technologies (ICT). However, introducing such technologies without considering the actual needs and idiosyncratic issues of target countries usually leads to failure since problems are different in developed countries than in developing ones. In this paper we present the studies carried out within the framework of the AFRICA BUILD project aimed to identify how Cloud computing technologies might contribute to alleviate the existing educational and training gaps in health research in Africa.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"213 1","pages":"457-460"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76544110","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627850
K. Masuda, A. Bossard, Yuki Sugano, Toshikazu Kato, S. Onogi
Recently, we described a reconstruction method of the blood vessel network by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include error detections and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a system including an abstraction method for the blood vessel network. Such a model is then analyzed through graph theory and error patterns in the reconstructed network. We proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. We were able to reconstruct the blood vessel network of an in vitro artificial capillary with multi-bifurcations. Results show that our system successfully reconstructed the corresponding networks as much as the limitation of resolution of echography.
{"title":"Reconstruction and error detection of blood vessel network from ultrasound volume data","authors":"K. Masuda, A. Bossard, Yuki Sugano, Toshikazu Kato, S. Onogi","doi":"10.1109/CBMS.2013.6627850","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627850","url":null,"abstract":"Recently, we described a reconstruction method of the blood vessel network by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include error detections and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a system including an abstraction method for the blood vessel network. Such a model is then analyzed through graph theory and error patterns in the reconstructed network. We proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. We were able to reconstruct the blood vessel network of an in vitro artificial capillary with multi-bifurcations. Results show that our system successfully reconstructed the corresponding networks as much as the limitation of resolution of echography.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"25 1","pages":"497-501"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76746480","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627802
I. Fondón, M. V. Grinsven, C. I. Sánchez, A. Sáez
This paper presents a novel technique for the detection of the optic disc (OD) in retinal fundus images. The method exploits the color information of the image with a perception adapted approach. CIE L*a*b* color space along with CIE94 color distance are used to obtain 12 color derivatives for each pixel under study. Based on this information, a classifier assigns a probability value to each pixel in the image, meaning its suitability for being part of the OD border. Looking for the pixels with highest probability values, the method detects the basic points for the OD border that are subsequently connected with the livewire technique. The reliability of the tool has been tested with three different classifiers on 198 images from four public available databases obtaining an average success percentage of 85.48% and a mean distance to the closest point of 2 pixels.
{"title":"Perceptually adapted method for optic disc detection on retinal fundus images","authors":"I. Fondón, M. V. Grinsven, C. I. Sánchez, A. Sáez","doi":"10.1109/CBMS.2013.6627802","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627802","url":null,"abstract":"This paper presents a novel technique for the detection of the optic disc (OD) in retinal fundus images. The method exploits the color information of the image with a perception adapted approach. CIE L*a*b* color space along with CIE94 color distance are used to obtain 12 color derivatives for each pixel under study. Based on this information, a classifier assigns a probability value to each pixel in the image, meaning its suitability for being part of the OD border. Looking for the pixels with highest probability values, the method detects the basic points for the OD border that are subsequently connected with the livewire technique. The reliability of the tool has been tested with three different classifiers on 198 images from four public available databases obtaining an average success percentage of 85.48% and a mean distance to the closest point of 2 pixels.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"49 1","pages":"279-284"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89442400","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627878
F. Ricci, Guoda Taraskeviciute, F. Zini
We present an easy-to deploy lightweight mobile system for indoor navigation in the hospital. We describe a pilot study that helped us select the map layout and we outline the system implementation.
{"title":"Lightweight navigation in the hospital with portable devices","authors":"F. Ricci, Guoda Taraskeviciute, F. Zini","doi":"10.1109/CBMS.2013.6627878","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627878","url":null,"abstract":"We present an easy-to deploy lightweight mobile system for indoor navigation in the hospital. We describe a pilot study that helped us select the map layout and we outline the system implementation.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"40 1","pages":"563-564"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90686647","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627826
Julian Varghese, C. Beierle, Nico Potyka, G. Kern-Isberner
Dealing with uncertainty that is inherently present in any medical domain, is one of the major challenges when designing a medical decision support system. We demonstrate how probabilistic logic can be used to design medical knowledge bases at the example of analysing clinical brain tumor data. We use MECoRe, a system implementing probabilistic conditional logic, to create a knowledge base BT that contains medical knowledge originating from both statistical data as well as from medical experts. Any incomplete or unspecified knowledge is completed by MECoRe in an information-theoretically optimal way by employing the principle of maximum entropy. BT is evaluated with respect to a series of queries regarding diagnosis and prognosis, using a real documented patient case.
{"title":"Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data","authors":"Julian Varghese, C. Beierle, Nico Potyka, G. Kern-Isberner","doi":"10.1109/CBMS.2013.6627826","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627826","url":null,"abstract":"Dealing with uncertainty that is inherently present in any medical domain, is one of the major challenges when designing a medical decision support system. We demonstrate how probabilistic logic can be used to design medical knowledge bases at the example of analysing clinical brain tumor data. We use MECoRe, a system implementing probabilistic conditional logic, to create a knowledge base BT that contains medical knowledge originating from both statistical data as well as from medical experts. Any incomplete or unspecified knowledge is completed by MECoRe in an information-theoretically optimal way by employing the principle of maximum entropy. BT is evaluated with respect to a series of queries regarding diagnosis and prognosis, using a real documented patient case.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"39 1","pages":"401-404"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85737424","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627869
Daniela Vasco, P. Rodrigues, João Gama
Anomalies in data can cause a lot of problems in the data analysis processes. Thus, it is necessary to improve data quality by detecting and eliminating errors and inconsistencies in the data, known as the data cleaning process [1]. Since detection and correction of anomalies requires detailed domain knowledge, the involvement of experts in the field is essential to the success of the process of cleaning the data. However, considering the size of data to be processed, this process should be as automatic as possible so as to minimize the time spent [1].
{"title":"Contextual anomalies in medical data","authors":"Daniela Vasco, P. Rodrigues, João Gama","doi":"10.1109/CBMS.2013.6627869","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627869","url":null,"abstract":"Anomalies in data can cause a lot of problems in the data analysis processes. Thus, it is necessary to improve data quality by detecting and eliminating errors and inconsistencies in the data, known as the data cleaning process [1]. Since detection and correction of anomalies requires detailed domain knowledge, the involvement of experts in the field is essential to the success of the process of cleaning the data. However, considering the size of data to be processed, this process should be as automatic as possible so as to minimize the time spent [1].","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"99 3","pages":"544-545"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72574085","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627864
Joao Miguel Pires Dias, C. M. Oliveira, L. Cruz
Eye diseases such as diabetic retinopathy are sometimes treated with recourse to laser based cauterization. The marks left by the action of the laser on the surface of the retina can cause misbehaviors of automated retinal diagnostic systems. It is therefore highly desirable to be able to detect the presence of laser marks left behind by such treatments and use that information in the first steps of automatic retinal diagnostics to prevent further unnecessary processing. In this paper we present an attempt to detect the presence of laser marks using an automated detection algorithm and present some preliminary results on its performance.
{"title":"Detection of laser marks in retinal images","authors":"Joao Miguel Pires Dias, C. M. Oliveira, L. Cruz","doi":"10.1109/CBMS.2013.6627864","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627864","url":null,"abstract":"Eye diseases such as diabetic retinopathy are sometimes treated with recourse to laser based cauterization. The marks left by the action of the laser on the surface of the retina can cause misbehaviors of automated retinal diagnostic systems. It is therefore highly desirable to be able to detect the presence of laser marks left behind by such treatments and use that information in the first steps of automatic retinal diagnostics to prevent further unnecessary processing. In this paper we present an attempt to detect the presence of laser marks using an automated detection algorithm and present some preliminary results on its performance.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"63 1","pages":"532-533"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74587344","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627797
N. Razzaq, M. Butt, M. Salman, Rahat Ali, I. Sadiq, K. Munawar, T. Zaidi
The ECG (Electrocardiogram) signal reflects the electrical activity of the heart. Since amplitude of ECG signal is of order of few mV, it is susceptible to many types of noises and amongst which the most disturbing is power line interference (PLI). Variations in frequency of PLI further complicate the problem which can be taken care by implementation of adaptive notch filter (ANF). ANF normally requires a reference input which is not possible in all cases. In this paper, we have proposed an intelligent adaptive filter which does not require a reference input. Proposed method first detects the frequency of PLI noise then adaptively tracks and eliminates PLI from ECG signal.
{"title":"An intelligent adaptive filter for fast tracking and elimination of power line interference from ECG signal","authors":"N. Razzaq, M. Butt, M. Salman, Rahat Ali, I. Sadiq, K. Munawar, T. Zaidi","doi":"10.1109/CBMS.2013.6627797","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627797","url":null,"abstract":"The ECG (Electrocardiogram) signal reflects the electrical activity of the heart. Since amplitude of ECG signal is of order of few mV, it is susceptible to many types of noises and amongst which the most disturbing is power line interference (PLI). Variations in frequency of PLI further complicate the problem which can be taken care by implementation of adaptive notch filter (ANF). ANF normally requires a reference input which is not possible in all cases. In this paper, we have proposed an intelligent adaptive filter which does not require a reference input. Proposed method first detects the frequency of PLI noise then adaptively tracks and eliminates PLI from ECG signal.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"18 1","pages":"251-256"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73812398","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}
Pub Date : 2013-06-20DOI: 10.1109/CBMS.2013.6627778
S. Hegenbart, A. Uhl, Georg Wimmer, A. Vécsei
Interlaced scanning is a technique that has been widely in use to double the perceived frame rate without increasing the used bandwidth. Interlaced scanning is still in use by endoscopic video hardware today. Towards the development of an automated decision support system we focus on the evaluation of the impact of de-interlacing techniques on the accuracy of automated classification of endoscopic video data with indication for celiac disease. In a large experimental setup a variety of de-interlacing methods are evaluated using a set of feature extraction methods from the fields of pattern recognition and medical image analysis.
{"title":"On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease","authors":"S. Hegenbart, A. Uhl, Georg Wimmer, A. Vécsei","doi":"10.1109/CBMS.2013.6627778","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627778","url":null,"abstract":"Interlaced scanning is a technique that has been widely in use to double the perceived frame rate without increasing the used bandwidth. Interlaced scanning is still in use by endoscopic video hardware today. Towards the development of an automated decision support system we focus on the evaluation of the impact of de-interlacing techniques on the accuracy of automated classification of endoscopic video data with indication for celiac disease. In a large experimental setup a variety of de-interlacing methods are evaluated using a set of feature extraction methods from the fields of pattern recognition and medical image analysis.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"27 1","pages":"137-142"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83597025","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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