Pub Date : 2013-04-23DOI: 10.1109/ICCMA.2013.6506146
Yassine Aribi, A. Wali, A. Alimi
The need for efficient and accurate processing of DICOM medical images has increased recently due to the distribution systems with diagnosis and treatment planning. The objective of this work is to develop a tool for the clinician and researcher for processing and analyzing DICOM images starting from a series of scintigraphic dynamic renal images. Tracing the regions of interest of kidneys by hand is time-consuming. Instead, the goal is a semi-automatic segmentation technique which finds the desired regions automatically. This can be done using fast marching methods. Thus, our system can automatically generate entire curves of renal function to determine the relative function. This tool is a step forward in the field of medical image processing, waiting to receive expert advice.
{"title":"A system based on the fast marching method for analysis and processing DICOM images: The case of renal scintigraphy dynamic","authors":"Yassine Aribi, A. Wali, A. Alimi","doi":"10.1109/ICCMA.2013.6506146","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506146","url":null,"abstract":"The need for efficient and accurate processing of DICOM medical images has increased recently due to the distribution systems with diagnosis and treatment planning. The objective of this work is to develop a tool for the clinician and researcher for processing and analyzing DICOM images starting from a series of scintigraphic dynamic renal images. Tracing the regions of interest of kidneys by hand is time-consuming. Instead, the goal is a semi-automatic segmentation technique which finds the desired regions automatically. This can be done using fast marching methods. Thus, our system can automatically generate entire curves of renal function to determine the relative function. This tool is a step forward in the field of medical image processing, waiting to receive expert advice.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122997229","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506184
S. Abdelouahed, S. Aounallah, M. Benabdellah
In this paper we develop a system dedicated to the objective characterization of dysphonia chronic laryngeal origin. The purpose of this system is threefold: diagnosis, treatment and monitoring of patient. He includes a chain tele medical made up of: 1- Hardware with a microphone and a sound card of terminal computer. 2- a software with vocal Audacity environment for the recording of the acoustic signal, Wamp environment for the establishment of data base on line and Visual BASIC environment for the transfer of the data under protocol TCP/IP making profitable architecture customer server supported by the component Winsock of VB in relation to the operating system Windows. For that we design an experimental protocol which consists of the recording and the archiving of the acoustic vocal signal by means of the software environment Audacity which makes it possible to deliver a temporal signal under format WAVE. Our contribution consisted of the implementation, under the Visual Basic environment, of an algorithm that allows performing the analysis of a spectro-temporal acoustic voiced speech signal in this case the vowel “a” sustained for three seconds. We applied this algorithm on six healthy subjects and six pathological subjects of whose four with cancer of the larynx, one with chronic laryngitis and one presenting an inflammatory polyp of the vocal cords. The results obtained show a variability of spectro-temporal characteristics between healthy and pathological subjects and prone pathological between them according to the nature of the lesion in particular with regard to spectral content evaluated by DFT-RD and the fundamental frequency F0 averaged over several frames of the voiced signal.
{"title":"Study and realization of a tele-medical platform dedicated to the objective assessment and to the follow-up of dysphonia chronic laryngeal origin by spectro-temporal analysis of acoustic vocal signal","authors":"S. Abdelouahed, S. Aounallah, M. Benabdellah","doi":"10.1109/ICCMA.2013.6506184","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506184","url":null,"abstract":"In this paper we develop a system dedicated to the objective characterization of dysphonia chronic laryngeal origin. The purpose of this system is threefold: diagnosis, treatment and monitoring of patient. He includes a chain tele medical made up of: 1- Hardware with a microphone and a sound card of terminal computer. 2- a software with vocal Audacity environment for the recording of the acoustic signal, Wamp environment for the establishment of data base on line and Visual BASIC environment for the transfer of the data under protocol TCP/IP making profitable architecture customer server supported by the component Winsock of VB in relation to the operating system Windows. For that we design an experimental protocol which consists of the recording and the archiving of the acoustic vocal signal by means of the software environment Audacity which makes it possible to deliver a temporal signal under format WAVE. Our contribution consisted of the implementation, under the Visual Basic environment, of an algorithm that allows performing the analysis of a spectro-temporal acoustic voiced speech signal in this case the vowel “a” sustained for three seconds. We applied this algorithm on six healthy subjects and six pathological subjects of whose four with cancer of the larynx, one with chronic laryngitis and one presenting an inflammatory polyp of the vocal cords. The results obtained show a variability of spectro-temporal characteristics between healthy and pathological subjects and prone pathological between them according to the nature of the lesion in particular with regard to spectral content evaluated by DFT-RD and the fundamental frequency F0 averaged over several frames of the voiced signal.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128288528","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506176
Mohannad K. Sabir
PCG signal got a great interest during the last few years due to the huge progress in digital signal processing methods and hardware. It is required to enhance the doctor's skill to improve their diagnoses for detecting heart diseases. In this work Teager energy operator and autocorrelation function are investigated to analyze the PCG signal and extract different parameters such as S1-Systole and S2-Diastole signals their timing, and heart rate estimation. Different numerical formulations of Teager energy operator are investigated to extract the single cardiac cycle, where the formula with best result is suggested. Then the autocorrelation function is applied to estimate the different timing of the extracted single cardiac cycle. The results were very optimistic, and the proposed framework could be an automatic analysis procedure of PCG that may be implemented in real time for classification of PCG. All signals are acquired by MP-36 of BIOPAC Systems, Inc.
{"title":"PCG signal analysis using teager energy operator & autocorrelation function","authors":"Mohannad K. Sabir","doi":"10.1109/ICCMA.2013.6506176","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506176","url":null,"abstract":"PCG signal got a great interest during the last few years due to the huge progress in digital signal processing methods and hardware. It is required to enhance the doctor's skill to improve their diagnoses for detecting heart diseases. In this work Teager energy operator and autocorrelation function are investigated to analyze the PCG signal and extract different parameters such as S1-Systole and S2-Diastole signals their timing, and heart rate estimation. Different numerical formulations of Teager energy operator are investigated to extract the single cardiac cycle, where the formula with best result is suggested. Then the autocorrelation function is applied to estimate the different timing of the extracted single cardiac cycle. The results were very optimistic, and the proposed framework could be an automatic analysis procedure of PCG that may be implemented in real time for classification of PCG. All signals are acquired by MP-36 of BIOPAC Systems, Inc.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683341","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506162
Safa Aouinti, Héla Mallek, D. Malouche, O. Saidi, Olfa Lassouedi, F. Hentati, H. Ben Romdhane
Managing stroke is a real public health problem. This study has mainly two purposes. First to evaluate the medical cost of managing this disease and to identify risk factors that influence its variation in Tunisia. We have then used a prospective study of 630 patients hospitalized for stroke in 2010 at the National Institute of Neurology of Tunis. We have assessed three different kinds of costs: in-hospital, post-hospitalization and annual costs. Afterward we have noticed huge variations in these different costs. We have then used an unsupervised clustering algorithm called the EM-algorithm to cluster the patients according to each kind of cost. We have obtained homogenous cost-clusters where each type of cost seems to be sampled from a normal distribution. Our second purpose was to identify the factors that make these costs high. We have then used a statistical technic called graphical interaction models. We mainly assume that the variables composing the data are jointly sampled from a conditional Gaussian distribution and where the interactions between the variables can be represented by an undirected graph where the vertices are the variables and where any separation statement implies a conditional independence between the concerned variables according to a specific protocol. Once these graphs are estimated we are able to determine direct and undirect factors that influence the increasing of the disease cost.
{"title":"Graphical interaction models to extract predictive risk factors of the cost of managing stroke in Tunisia","authors":"Safa Aouinti, Héla Mallek, D. Malouche, O. Saidi, Olfa Lassouedi, F. Hentati, H. Ben Romdhane","doi":"10.1109/ICCMA.2013.6506162","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506162","url":null,"abstract":"Managing stroke is a real public health problem. This study has mainly two purposes. First to evaluate the medical cost of managing this disease and to identify risk factors that influence its variation in Tunisia. We have then used a prospective study of 630 patients hospitalized for stroke in 2010 at the National Institute of Neurology of Tunis. We have assessed three different kinds of costs: in-hospital, post-hospitalization and annual costs. Afterward we have noticed huge variations in these different costs. We have then used an unsupervised clustering algorithm called the EM-algorithm to cluster the patients according to each kind of cost. We have obtained homogenous cost-clusters where each type of cost seems to be sampled from a normal distribution. Our second purpose was to identify the factors that make these costs high. We have then used a statistical technic called graphical interaction models. We mainly assume that the variables composing the data are jointly sampled from a conditional Gaussian distribution and where the interactions between the variables can be represented by an undirected graph where the vertices are the variables and where any separation statement implies a conditional independence between the concerned variables according to a specific protocol. Once these graphs are estimated we are able to determine direct and undirect factors that influence the increasing of the disease cost.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124085973","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506175
Jamilson Bispo dos Santos, Jorge Rady de Almeida, Leandro Augusto Silva
This paper presents a computational strategy for content based image retrieval (CBIR-Content-Based Image Retrieval), considering the similarity in relation to an image already selected. The identification of similarity is obtained by feature extraction, using the technique of wavelet combined with Hu moments. The classification of mammographic is performed using Artificial Neural Networks, through the classifier Self-Organizing Map (SOM). The proposed method is tested with a database of the Laboratory of Medical Image Classification (QUALIM) Department of Diagnostic Imaging, Federal University of São Paulo (UNIFESP).
{"title":"Pattern recognition in mammographic images used by the residents in mammography","authors":"Jamilson Bispo dos Santos, Jorge Rady de Almeida, Leandro Augusto Silva","doi":"10.1109/ICCMA.2013.6506175","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506175","url":null,"abstract":"This paper presents a computational strategy for content based image retrieval (CBIR-Content-Based Image Retrieval), considering the similarity in relation to an image already selected. The identification of similarity is obtained by feature extraction, using the technique of wavelet combined with Hu moments. The classification of mammographic is performed using Artificial Neural Networks, through the classifier Self-Organizing Map (SOM). The proposed method is tested with a database of the Laboratory of Medical Image Classification (QUALIM) Department of Diagnostic Imaging, Federal University of São Paulo (UNIFESP).","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132371099","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506169
D. Al-Dowaihi, Monirah A. Al-Ajlan, Nada Al-Zahrani, Norah Al-Quwayfili, Nouf al-Jwiser, E. Kanjo
Prevalence of asthma, especially in air polluted areas, has dramatically increased. As a result, the demand for a system that is able to predict asthma attacks and monitor a patient's condition is becoming increasingly important. This paper presents a prototype system that allow asthma's patients to self-monitor their symptoms condition and manage their conditions accurately, as well as informing the medics in the case of emergency.
{"title":"Mbreath: Asthma monitoring system on the go","authors":"D. Al-Dowaihi, Monirah A. Al-Ajlan, Nada Al-Zahrani, Norah Al-Quwayfili, Nouf al-Jwiser, E. Kanjo","doi":"10.1109/ICCMA.2013.6506169","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506169","url":null,"abstract":"Prevalence of asthma, especially in air polluted areas, has dramatically increased. As a result, the demand for a system that is able to predict asthma attacks and monitor a patient's condition is becoming increasingly important. This paper presents a prototype system that allow asthma's patients to self-monitor their symptoms condition and manage their conditions accurately, as well as informing the medics in the case of emergency.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721385","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506188
M. Tabakov, Szymon Zareba, Marzenna Podhorska-Okołów, B. Puła
In this paper a decision making support system based on fuzzy logic is considered. The examined decision problem is related to the problem of recognition of histopathology images with respect to the degree of HER2/neu receptor overexpression. We used fuzzy decision trees, defined over different sets of image features, as separate image classifiers. Then, the corresponding classifiers results were aggregated with the fuzzy Sugeno integral to make final recognition decision. The proposed approach was tested over real clinical data of HER2 breast cancer histopathology images.
{"title":"Using fuzzy sugeno integral as an aggregation operator of ensemble of fuzzy decision trees in the recognition of HER2 breast cancer histopathology images","authors":"M. Tabakov, Szymon Zareba, Marzenna Podhorska-Okołów, B. Puła","doi":"10.1109/ICCMA.2013.6506188","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506188","url":null,"abstract":"In this paper a decision making support system based on fuzzy logic is considered. The examined decision problem is related to the problem of recognition of histopathology images with respect to the degree of HER2/neu receptor overexpression. We used fuzzy decision trees, defined over different sets of image features, as separate image classifiers. Then, the corresponding classifiers results were aggregated with the fuzzy Sugeno integral to make final recognition decision. The proposed approach was tested over real clinical data of HER2 breast cancer histopathology images.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124346475","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506149
Asma Ben Hadj Mohamed, T. Val, L. Andrieux, A. Kachouri
The control of patients and persons with disabilities has always been a major concern in hospitals as in homes. Research works in this field aim to control and surround patients with comfort, safety in their homes while respecting their privacy. In this paper, we propose a monitoring system based on Kinect sensors to control and monitor elderly people into a smart house. The system recognizes gestures and communicates them through a network. We test some hand gestures and how it can be recognized with this sensor.
{"title":"Assisting people with disabilities through Kinect sensors into a smart house","authors":"Asma Ben Hadj Mohamed, T. Val, L. Andrieux, A. Kachouri","doi":"10.1109/ICCMA.2013.6506149","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506149","url":null,"abstract":"The control of patients and persons with disabilities has always been a major concern in hospitals as in homes. Research works in this field aim to control and surround patients with comfort, safety in their homes while respecting their privacy. In this paper, we propose a monitoring system based on Kinect sensors to control and monitor elderly people into a smart house. The system recognizes gestures and communicates them through a network. We test some hand gestures and how it can be recognized with this sensor.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125739107","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506180
M. Fraz, Paolo Remagnino, A. Hoppe, S. Barman
Automatic segmentation of the retinal vasculature is considered as a first step in computer assisted medical applications related to diagnosis and treatment planning. This paper describes a pixel classification based method of segmenting retinal blood vessels using linear discriminant analysis. The vessel-ness measure of a pixel is defined by the feature vector comprised of a modified multiscale line operator and Gabor filter responses. The sequential forward feature selection scheme is used to identify the optimal scales for the line operator and Gabor filter. The linear discriminant classifier utilizes only two features for pixel classification. The feature vector encodes information to reliably handle normal vessels in addition to vessels with strong light reflexes along their centerline, which is more apparent on retinal arteriolars than venules. The method is evaluated on the three publicly available DRIVE, STARE and MESSIDOR datasets. The method is computationally fast and its performance approximates the 2nd human observer as well as other existing methodologies available in the literature, thus making it a suitable tool for automated retinal image analysis.
{"title":"Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier","authors":"M. Fraz, Paolo Remagnino, A. Hoppe, S. Barman","doi":"10.1109/ICCMA.2013.6506180","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506180","url":null,"abstract":"Automatic segmentation of the retinal vasculature is considered as a first step in computer assisted medical applications related to diagnosis and treatment planning. This paper describes a pixel classification based method of segmenting retinal blood vessels using linear discriminant analysis. The vessel-ness measure of a pixel is defined by the feature vector comprised of a modified multiscale line operator and Gabor filter responses. The sequential forward feature selection scheme is used to identify the optimal scales for the line operator and Gabor filter. The linear discriminant classifier utilizes only two features for pixel classification. The feature vector encodes information to reliably handle normal vessels in addition to vessels with strong light reflexes along their centerline, which is more apparent on retinal arteriolars than venules. The method is evaluated on the three publicly available DRIVE, STARE and MESSIDOR datasets. The method is computationally fast and its performance approximates the 2nd human observer as well as other existing methodologies available in the literature, thus making it a suitable tool for automated retinal image analysis.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128590143","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 : 2013-04-23DOI: 10.1109/ICCMA.2013.6506161
A. Madugalla, R. Rajapakse, I. Amarasinghe, V. H. Padmathilake, A. Dharmaratne, D. Sandaruwan, M. Vidanapathirana
The field of medicine has integrated with law and regulation in the form of forensic medicine. While the field of medicine, as a whole, is leaping forward by integrating computer solutions, Forensic Medicine- particularly in developing regions such as Sri Lanka- is lacking innovative computer integrations. The process of forensic facial reconstruction in particular, is still at its infancy in Sri Lanka, and is yet to utilize the advanced technologies of other countries. Hence introducing a more efficient multimedia based technique to the local forensic officials in order to improve the efficiency and the accuracy of the reconstructions is the aim of this study. In contrast to the facial reconstructions conducted in other countries, this study introduces a novel semi-automated method of computer aided digital sculpting to the field of forensic medicine. The adopted process involved, acquiring a 3D model of the skull and digitally sculpting muscles in a 3D environment, followed by adding different facial features to improve identification. The research also encompassed a tissue thickness analysis and a facial component analysis, both of which were conducted for the first time on Sri Lankans since both were needed to improve the accuracy of the final output. This procedure was attempted on cases of the age category 20–30 and of medium weight. The outputs and the process were evaluated with different parties such as general public, forensic officials, lawyers and CID all of which yielded true positive results. The ultimate goal of conducting the study was to understand and overcome the challenges faced in developing this novel application for the Sri Lankan Forensic officials and to establish the first unit for facial reconstruction in Sri Lanka.
{"title":"FaceID: A 3D computer graphic application for forensic medicine: A novel semi-automated muscle based digital sculpting initiative for forensic facial reconstruction in Sri Lanka","authors":"A. Madugalla, R. Rajapakse, I. Amarasinghe, V. H. Padmathilake, A. Dharmaratne, D. Sandaruwan, M. Vidanapathirana","doi":"10.1109/ICCMA.2013.6506161","DOIUrl":"https://doi.org/10.1109/ICCMA.2013.6506161","url":null,"abstract":"The field of medicine has integrated with law and regulation in the form of forensic medicine. While the field of medicine, as a whole, is leaping forward by integrating computer solutions, Forensic Medicine- particularly in developing regions such as Sri Lanka- is lacking innovative computer integrations. The process of forensic facial reconstruction in particular, is still at its infancy in Sri Lanka, and is yet to utilize the advanced technologies of other countries. Hence introducing a more efficient multimedia based technique to the local forensic officials in order to improve the efficiency and the accuracy of the reconstructions is the aim of this study. In contrast to the facial reconstructions conducted in other countries, this study introduces a novel semi-automated method of computer aided digital sculpting to the field of forensic medicine. The adopted process involved, acquiring a 3D model of the skull and digitally sculpting muscles in a 3D environment, followed by adding different facial features to improve identification. The research also encompassed a tissue thickness analysis and a facial component analysis, both of which were conducted for the first time on Sri Lankans since both were needed to improve the accuracy of the final output. This procedure was attempted on cases of the age category 20–30 and of medium weight. The outputs and the process were evaluated with different parties such as general public, forensic officials, lawyers and CID all of which yielded true positive results. The ultimate goal of conducting the study was to understand and overcome the challenges faced in developing this novel application for the Sri Lankan Forensic officials and to establish the first unit for facial reconstruction in Sri Lanka.","PeriodicalId":187834,"journal":{"name":"2013 International Conference on Computer Medical Applications (ICCMA)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121747509","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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