Pub Date : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875859
H. Chebi
Milling of bone volumes during some orthopedic surgery such as laminectomy is a delicate step to be performed with great precision. In conventional surgery, only X-rays of the patient can identify the areas to be removed and the areas to be protected. In this work, we propose a method of tracking a trajectory in geometric model control modes of the robot to assist and secure this type of milling. The study of the different approaches of mathematical modeling of the manipulator robot where it was a question of describing the geometrical modeling, in order to orient the arm with acceptable precision compared to its real environment. This proposed solution imposes virtual constraints, defined according to a particular effort profile, on the working environment of the user in order to separate the workspace into a free region and a forbidden region. The contribution of the device, in terms of precision, is evaluated experimentally by milling geometric shapes (square, triangular …).
{"title":"Virtual trajectory tracking of a manipulator robot for Milling Assistance: Application to comanipulator in orthopedic surgery","authors":"H. Chebi","doi":"10.1109/SETIT54465.2022.9875859","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875859","url":null,"abstract":"Milling of bone volumes during some orthopedic surgery such as laminectomy is a delicate step to be performed with great precision. In conventional surgery, only X-rays of the patient can identify the areas to be removed and the areas to be protected. In this work, we propose a method of tracking a trajectory in geometric model control modes of the robot to assist and secure this type of milling. The study of the different approaches of mathematical modeling of the manipulator robot where it was a question of describing the geometrical modeling, in order to orient the arm with acceptable precision compared to its real environment. This proposed solution imposes virtual constraints, defined according to a particular effort profile, on the working environment of the user in order to separate the workspace into a free region and a forbidden region. The contribution of the device, in terms of precision, is evaluated experimentally by milling geometric shapes (square, triangular …).","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134437860","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875492
Yassin Kortli, Souhir Gabsi, M. Jridi, L. L. Y. Lew Yan Voon, M. Atri
Face detection and recognition system (FDRS) is widely used in modern biometric security systems. In this paper, we implement a new model of FDRS to identify human faces under different poses. Particularly, we propose the Viola-Jones detector to locate and detect human faces and the VanderLugt correlator (VLC) technique for identification. We propose two implementations based on Zync SOC. A set of experiments has been considered using the PHPID database where the faces ranging from -30° to +30°. For more details, see [4].
{"title":"HLS-based Hardware Acceleration on the Zynq SoC: A Real-Time Face Detection and Recognition System","authors":"Yassin Kortli, Souhir Gabsi, M. Jridi, L. L. Y. Lew Yan Voon, M. Atri","doi":"10.1109/SETIT54465.2022.9875492","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875492","url":null,"abstract":"Face detection and recognition system (FDRS) is widely used in modern biometric security systems. In this paper, we implement a new model of FDRS to identify human faces under different poses. Particularly, we propose the Viola-Jones detector to locate and detect human faces and the VanderLugt correlator (VLC) technique for identification. We propose two implementations based on Zync SOC. A set of experiments has been considered using the PHPID database where the faces ranging from -30° to +30°. For more details, see [4].","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133400477","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875848
M. Oudani, Abderaouf Benghalia
The Berth Allocation Problem (BAP), or the assignment of berths to ships, is a classical decision problem encountered in maritime container terminals. Ships assignment to berths in most efficient way enables to reduce the handling times of containers and improves the service quality for container ships. While several research papers deal with deterministic version of the BAP assuming that the arrival times of ships and handling times of containers are known in advance, few researchers consider uncertainty issues. The main propose of the current paper is to allocate ships to berths considering the uncertainty in arrival times and in the end times of handling. We build two fuzzy mixed linear programs to formulate the problem and we use a successful parametric approach to transform fuzzy models to crisp ones.
{"title":"Berth Allocation Problem with uncertain arrival and handling times","authors":"M. Oudani, Abderaouf Benghalia","doi":"10.1109/SETIT54465.2022.9875848","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875848","url":null,"abstract":"The Berth Allocation Problem (BAP), or the assignment of berths to ships, is a classical decision problem encountered in maritime container terminals. Ships assignment to berths in most efficient way enables to reduce the handling times of containers and improves the service quality for container ships. While several research papers deal with deterministic version of the BAP assuming that the arrival times of ships and handling times of containers are known in advance, few researchers consider uncertainty issues. The main propose of the current paper is to allocate ships to berths considering the uncertainty in arrival times and in the end times of handling. We build two fuzzy mixed linear programs to formulate the problem and we use a successful parametric approach to transform fuzzy models to crisp ones.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130117576","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875901
Souad Refas, D. Acheli, Selma Yahia, Yassine Meraihi, A. Ramdane-Cherif, Asma Benmessaoud Gabis, Hossien B. Eldeeb
The reliability of vehicle-to-vehicle (V2V) visible light communication (VLC) systems is affected by several environmental factors. These include the availability of the direct communication link, the transmit power budget, the required communication quality and speed, and the atmospheric weather conditions. This encourages the usage of multi-hop relay systems. In which, the intermediate vehicles operate as wireless relays, receiving the signal from the source vehicle, decoding it, and re-transmitting it to the next vehicle until it reaches the destination vehicle. In this paper, we analyze the performance of multi-hop V2V VLC systems through the derivation of the maximum achievable communication distance and utilizing a realistic ray tracing channel modeling approach. The effects of the transceiver, system parameters, and weather conditions on the V2V VLC system performance are also investigated. Our results demonstrate that the foggy weather with low visibility has a severe impact on the V2V system performance, the transmission range is reduced by about 40 m comparing to the clear weather assuming the single transmission link. The results further reveal that deploying the inter-mediate vehicles as multi-hop relays has the ability to extend the transmission ranges, i.e., for only one hop relay, the maximum distance climbs by more than 50 m in the worst weather case.
{"title":"Performance Analysis of Multi-Hop V2V VLC System under Atmospheric Weather Conditions","authors":"Souad Refas, D. Acheli, Selma Yahia, Yassine Meraihi, A. Ramdane-Cherif, Asma Benmessaoud Gabis, Hossien B. Eldeeb","doi":"10.1109/SETIT54465.2022.9875901","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875901","url":null,"abstract":"The reliability of vehicle-to-vehicle (V2V) visible light communication (VLC) systems is affected by several environmental factors. These include the availability of the direct communication link, the transmit power budget, the required communication quality and speed, and the atmospheric weather conditions. This encourages the usage of multi-hop relay systems. In which, the intermediate vehicles operate as wireless relays, receiving the signal from the source vehicle, decoding it, and re-transmitting it to the next vehicle until it reaches the destination vehicle. In this paper, we analyze the performance of multi-hop V2V VLC systems through the derivation of the maximum achievable communication distance and utilizing a realistic ray tracing channel modeling approach. The effects of the transceiver, system parameters, and weather conditions on the V2V VLC system performance are also investigated. Our results demonstrate that the foggy weather with low visibility has a severe impact on the V2V system performance, the transmission range is reduced by about 40 m comparing to the clear weather assuming the single transmission link. The results further reveal that deploying the inter-mediate vehicles as multi-hop relays has the ability to extend the transmission ranges, i.e., for only one hop relay, the maximum distance climbs by more than 50 m in the worst weather case.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130466600","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875922
Abdelbaki Souid, H. Sakli
Computer vision has made a significant advance in the medical imaging. Pneumothorax is a severe ailment that can be fatal if the patient does not receive proper care. The main way for diagnosing Pneumothorax is by examining the Chest X-ray by a specialist. The urge of experienced radiologists to anticipate whether someone is suffering from pneumothorax or not by examining chest X-rays is indisputable. Such a facility is not available to everyone. Furthermore, in some circumstances, quick diagnosis is required. In this paper We present a deep learning based image segmentation model capable of predicting Pneumothorax cases by localizing it in chest x-ray exam to help the doctor in making this critical choice. Deep Learning has demonstrated its value in multiple domains, outperforming several state-of-the-arts methods. We seek to overcome this challenge by leveraging deep learning capabilities. We used U-Net architecture with Xception as the encoder and ResNet as a decoder. We obtained encouraging findings, and U-Net works exceptionally well in medical imaging. Our work is listed with in as semantic segmentation. With 77.8 (±0.15), our technique obtains a good outcome in terms of Intersection over Union.
{"title":"Xception-ResNet Autoencoder for Pneumothorax Segmentation","authors":"Abdelbaki Souid, H. Sakli","doi":"10.1109/SETIT54465.2022.9875922","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875922","url":null,"abstract":"Computer vision has made a significant advance in the medical imaging. Pneumothorax is a severe ailment that can be fatal if the patient does not receive proper care. The main way for diagnosing Pneumothorax is by examining the Chest X-ray by a specialist. The urge of experienced radiologists to anticipate whether someone is suffering from pneumothorax or not by examining chest X-rays is indisputable. Such a facility is not available to everyone. Furthermore, in some circumstances, quick diagnosis is required. In this paper We present a deep learning based image segmentation model capable of predicting Pneumothorax cases by localizing it in chest x-ray exam to help the doctor in making this critical choice. Deep Learning has demonstrated its value in multiple domains, outperforming several state-of-the-arts methods. We seek to overcome this challenge by leveraging deep learning capabilities. We used U-Net architecture with Xception as the encoder and ResNet as a decoder. We obtained encouraging findings, and U-Net works exceptionally well in medical imaging. Our work is listed with in as semantic segmentation. With 77.8 (±0.15), our technique obtains a good outcome in terms of Intersection over Union.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115624448","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875844
Safa Affi, H. Cherif, J. Belhadj
The hybrid excited flux switching synchronous machines (HE-FSM) have several properties used in variable speed applications for both high and low-speed systems. Defined by the number of stator slots and the number of rotor poles, the studied machine is an attractive candidate for wind turbine systems. There are various types of HE-FSMs; nevertheless, the presented machine's topology with a totally active stator and a passive rotor is advantageous in wind turbine applications thanks to the adjustment of the excitation field added to the robustness of the rotor. In this paper, a parametric sensitivity analysis of 24 slots/20 poles HE-FSM is developed for a wind energy conversion system in urban and rural application. The research target is to elaborate a parametric sensitivity study for this machine using finite element analysis method in order to explore its operational behavior and limitations which have to be in line with low-speed ranges. A particular emphasis was placed on some elementary design variables due to their direct impact on the target objectives. The design approach is used to treat several dependent design parameters to achieve the target performances: maximizing the generated power and minimizing the basic speed.
{"title":"Parametric Sensitivity Analysis of a hybrid excitation flux switching wind turbine generator","authors":"Safa Affi, H. Cherif, J. Belhadj","doi":"10.1109/SETIT54465.2022.9875844","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875844","url":null,"abstract":"The hybrid excited flux switching synchronous machines (HE-FSM) have several properties used in variable speed applications for both high and low-speed systems. Defined by the number of stator slots and the number of rotor poles, the studied machine is an attractive candidate for wind turbine systems. There are various types of HE-FSMs; nevertheless, the presented machine's topology with a totally active stator and a passive rotor is advantageous in wind turbine applications thanks to the adjustment of the excitation field added to the robustness of the rotor. In this paper, a parametric sensitivity analysis of 24 slots/20 poles HE-FSM is developed for a wind energy conversion system in urban and rural application. The research target is to elaborate a parametric sensitivity study for this machine using finite element analysis method in order to explore its operational behavior and limitations which have to be in line with low-speed ranges. A particular emphasis was placed on some elementary design variables due to their direct impact on the target objectives. The design approach is used to treat several dependent design parameters to achieve the target performances: maximizing the generated power and minimizing the basic speed.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122643014","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875527
S. Amara, S. Toumi, C. B. Salah, R. Z. Falama
This paper describes a comparative study between different configurations of microgrid system to determine the most reliable and costless one. In fact, the used approach is based on three criteria; the DPSP (Deficiency of Power Supply Probability) criterion, the EC (Energy Cost) criterion and the TNPC (Total Net Present Cost) criterion. Solar radiation, temperature and wind speed are defined as input information. All results, obtained using Matlab/ Simulink, prove the efficiency of the used technique in ensuring the comparative sizing study.
{"title":"A comparative study based on a techno-economic analysis of different Microgrid configurations","authors":"S. Amara, S. Toumi, C. B. Salah, R. Z. Falama","doi":"10.1109/SETIT54465.2022.9875527","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875527","url":null,"abstract":"This paper describes a comparative study between different configurations of microgrid system to determine the most reliable and costless one. In fact, the used approach is based on three criteria; the DPSP (Deficiency of Power Supply Probability) criterion, the EC (Energy Cost) criterion and the TNPC (Total Net Present Cost) criterion. Solar radiation, temperature and wind speed are defined as input information. All results, obtained using Matlab/ Simulink, prove the efficiency of the used technique in ensuring the comparative sizing study.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124140525","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875918
Yosra Ben Salem
Mood disorders are a mental disease that affects seriously the feelings and the thinking manner of people. They consist of severely emotional state fluctuations which is different from normal fluctuations. It seems that early detection is the best way to deal with this problem and take the adequate treatment for these disorders. The emergence of computer aided diagnosis applications, in recent years, has given an efficient help for psychiatrist to detect mood fluctuations and diagnose the pathological state in the adequate time. In this context, recent studies apply artificial intelligence in order to detect emotional states from one or more combined attributes. Four attributes are commonly used to detect a mood disorder: facial expressions, speech voice signals, body movements and texts shared in social media. This paper reviews recent research studies conducted for the detection and diagnosis of mood disorders using these attributes. This paper firstly introduces CAD systems in medicine and specifically in mental health domain. Then, it presents a brief explanation of the most used artificial intelligence approaches in CAD systems. After that, It reviews the recent studies performed to detect mood disorders from the four attributes mentioned above. The last section discusses results from the presented approaches.
{"title":"A Brief Review of The Different Approaches for Mood Disorders Detection and Diagnosis","authors":"Yosra Ben Salem","doi":"10.1109/SETIT54465.2022.9875918","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875918","url":null,"abstract":"Mood disorders are a mental disease that affects seriously the feelings and the thinking manner of people. They consist of severely emotional state fluctuations which is different from normal fluctuations. It seems that early detection is the best way to deal with this problem and take the adequate treatment for these disorders. The emergence of computer aided diagnosis applications, in recent years, has given an efficient help for psychiatrist to detect mood fluctuations and diagnose the pathological state in the adequate time. In this context, recent studies apply artificial intelligence in order to detect emotional states from one or more combined attributes. Four attributes are commonly used to detect a mood disorder: facial expressions, speech voice signals, body movements and texts shared in social media. This paper reviews recent research studies conducted for the detection and diagnosis of mood disorders using these attributes. This paper firstly introduces CAD systems in medicine and specifically in mental health domain. Then, it presents a brief explanation of the most used artificial intelligence approaches in CAD systems. After that, It reviews the recent studies performed to detect mood disorders from the four attributes mentioned above. The last section discusses results from the presented approaches.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124252282","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875739
Sadok Msadaa, Younes Lahbib, A. Mami
This paper presents a practical experience in designing a programmable system-on-chip for a complex and modern purpose associated with high-resolution, real-time target detection for radar systems. In this paper, an embedded architecture that merges into a single platform, the two hardware and software components. This architecture is implemented using a PC board based on a field programmable gate array (FPGA). The technique used for the detection process is the automatic censored ordered statistics detection (ACOSD) CFAR with the shared resource technique. All of which we exploit the robustness of the hardware that operates two ACOSD detector in parallel, alongside the flexibility of the software based on a microprocessor ARM Cortex A9. The hardware/software embedded system detector is developed using Xilinx Vivado high-level synthesis and Xilinx SDK. The new Hardware/Software design has been uploaded onto the Zedboard Zynq 7000 FPGA board. The design operates at a maximum frequency of 148 MHz and performs real-time target detection with an execution time of 0.24 μs, which is lower than 0.5 μs of the critical time required for high-resolution target detection.
{"title":"A SoPC FPGA Implementing of an Enhanced Parallel CFAR Architecture","authors":"Sadok Msadaa, Younes Lahbib, A. Mami","doi":"10.1109/SETIT54465.2022.9875739","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875739","url":null,"abstract":"This paper presents a practical experience in designing a programmable system-on-chip for a complex and modern purpose associated with high-resolution, real-time target detection for radar systems. In this paper, an embedded architecture that merges into a single platform, the two hardware and software components. This architecture is implemented using a PC board based on a field programmable gate array (FPGA). The technique used for the detection process is the automatic censored ordered statistics detection (ACOSD) CFAR with the shared resource technique. All of which we exploit the robustness of the hardware that operates two ACOSD detector in parallel, alongside the flexibility of the software based on a microprocessor ARM Cortex A9. The hardware/software embedded system detector is developed using Xilinx Vivado high-level synthesis and Xilinx SDK. The new Hardware/Software design has been uploaded onto the Zedboard Zynq 7000 FPGA board. The design operates at a maximum frequency of 148 MHz and performs real-time target detection with an execution time of 0.24 μs, which is lower than 0.5 μs of the critical time required for high-resolution target detection.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130948423","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875773
Nabila Zrira, Ibtissam Benmiloud, Kamal Marzouki, Zineb Farahat, Imane Zaimi, Btihal El Ghali, Omar El Midaoui, Kawtar Megdiche, Nabil Ngote
Accurate and fast whole cardiac substructures segmentation from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) is crucial in developing clinical applications, such as computer-aided surgery and computer-aided diagnosis. However, the segmentation of different substructures is challenging because of the amount of data that should be annotated by experts, the diversity of sizes and shapes of cardiac substructures, and the complexity of the background. This work aims to develop an automatic and fast whole heart segmentation including all cardiac substructures as well as the great vessels. The proposed approach used mainly image processing methods that enable the heart segmentation from sagittal, axial, and coronal views to obtain a 3D reconstruction. Finally, the experiments are conducted on both Automated Cardiac Diagnosis Challenge and CT scans acquired from a patient with COVID-19 at the Cheikh Zaid International University Hospital in Rabat Morocco.
{"title":"Automatic and Fast Whole Heart Segmentation for 3D Reconstruction","authors":"Nabila Zrira, Ibtissam Benmiloud, Kamal Marzouki, Zineb Farahat, Imane Zaimi, Btihal El Ghali, Omar El Midaoui, Kawtar Megdiche, Nabil Ngote","doi":"10.1109/SETIT54465.2022.9875773","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875773","url":null,"abstract":"Accurate and fast whole cardiac substructures segmentation from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) is crucial in developing clinical applications, such as computer-aided surgery and computer-aided diagnosis. However, the segmentation of different substructures is challenging because of the amount of data that should be annotated by experts, the diversity of sizes and shapes of cardiac substructures, and the complexity of the background. This work aims to develop an automatic and fast whole heart segmentation including all cardiac substructures as well as the great vessels. The proposed approach used mainly image processing methods that enable the heart segmentation from sagittal, axial, and coronal views to obtain a 3D reconstruction. Finally, the experiments are conducted on both Automated Cardiac Diagnosis Challenge and CT scans acquired from a patient with COVID-19 at the Cheikh Zaid International University Hospital in Rabat Morocco.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130879860","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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