Détail de l'auteur
Auteur Karim Mansour |
Documents disponibles écrits par cet auteur (3)
Affiner la recherche Interroger des sources externesDéveloppement d’une séquence IRM pour l’étude de la vasoréactivité cérébrale aux gaz circulants et des paramètres hémodynamiques cérébrovasculaires. / Djalal Sekhane
Titre : Développement d’une séquence IRM pour l’étude de la vasoréactivité cérébrale aux gaz circulants et des paramètres hémodynamiques cérébrovasculaires. Type de document : texte imprimé Auteurs : Djalal Sekhane, Auteur ; Karim Mansour, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2019 Importance : 110 f. Format : 30 cm. Note générale : Doctorat 3éme CYCLE LMD.
2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Electronique:Systèmes, procédés et dispositifs pour l’électronique médicale IRM Vasoréactivité Cérébrale Hémodynamique Anévrisme Intracrânien Système cérébrovasculaire MRI Cerebral vasoreactivity Hemodynamics Intracranial aneurysm Cerebrovascular system التصویر بالرنین المغناطیسي تمدد الأوعیة الدمویة تحت تأثیر الغازات المتداولة العوامل المیكانیكیة للدم تمدد الأوعیة الدمویة داخل الجمجمة الشبك الدمویة للجھاز العصبي Index. décimale : 621 Electronique Résumé :
In this work, we implemented an approach model based on magnetic resonance imaging acquisitions combined with digital methods, the aim being to provide to the physician a tool to help in the reliable diagnosis of neuro-vascular pathologies through the study of cerebral vasoreactivity to circulating gases and cerebrovascular hemodynamic parameters. The blood flow modelling in the cerebrovascular network using the Computational Fluid Dynamics method, has made it possible to extract the hemodynamic factors that make it possible to map and quantify, noninvasively, the cerebral blood flow in an effective way reproducible. We developed a non-invasive MRI acquisition protocol that allowed us to visualize the cerebrovascular tree, then simulated, using the COMSOL Multiphysics software, under certain mechanical input and output conditions into this vascular tree, the variations of the main cerebral hemodynamic parameters. The obtained results show the reliability and the effectiveness of our protocol in the study of the different phenomena caused by the blood flow in the healthy cerebral vessels or presenting pathologies.Diplôme : Doctorat En ligne : ../theses/electronique/SEK7446.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11224 Développement d’une séquence IRM pour l’étude de la vasoréactivité cérébrale aux gaz circulants et des paramètres hémodynamiques cérébrovasculaires. [texte imprimé] / Djalal Sekhane, Auteur ; Karim Mansour, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2019 . - 110 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Electronique:Systèmes, procédés et dispositifs pour l’électronique médicale IRM Vasoréactivité Cérébrale Hémodynamique Anévrisme Intracrânien Système cérébrovasculaire MRI Cerebral vasoreactivity Hemodynamics Intracranial aneurysm Cerebrovascular system التصویر بالرنین المغناطیسي تمدد الأوعیة الدمویة تحت تأثیر الغازات المتداولة العوامل المیكانیكیة للدم تمدد الأوعیة الدمویة داخل الجمجمة الشبك الدمویة للجھاز العصبي Index. décimale : 621 Electronique Résumé :
In this work, we implemented an approach model based on magnetic resonance imaging acquisitions combined with digital methods, the aim being to provide to the physician a tool to help in the reliable diagnosis of neuro-vascular pathologies through the study of cerebral vasoreactivity to circulating gases and cerebrovascular hemodynamic parameters. The blood flow modelling in the cerebrovascular network using the Computational Fluid Dynamics method, has made it possible to extract the hemodynamic factors that make it possible to map and quantify, noninvasively, the cerebral blood flow in an effective way reproducible. We developed a non-invasive MRI acquisition protocol that allowed us to visualize the cerebrovascular tree, then simulated, using the COMSOL Multiphysics software, under certain mechanical input and output conditions into this vascular tree, the variations of the main cerebral hemodynamic parameters. The obtained results show the reliability and the effectiveness of our protocol in the study of the different phenomena caused by the blood flow in the healthy cerebral vessels or presenting pathologies.Diplôme : Doctorat En ligne : ../theses/electronique/SEK7446.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11224 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité SEK/7446 SEK/7446 Thèse Bibliothèque principale Thèses Disponible
Titre : Etude et modélisation de la réponse d’un dosimètre chimique en radiothérapie interne vectorisée : Application au gel polymère MAGIC. Type de document : texte imprimé Auteurs : Nadjla Bourbia, Auteur ; Karim Mansour, Directeur de thèse Mention d'édition : 13 janvier 2019 Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2019 Importance : 115 f. Format : 30 cm. Note générale : 1 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
PhysiqueTags : physique: Physique medicale Gel MAGIC Tc-99m modèle mathématique IRM MAGIC gel mathematic model MRI Index. décimale : 530 Physique Résumé : Vectorized internal radiotherapy is based on the administration of radiopharmaceuticals to patients
by the oral or intravenous route. Unlike external radiotherapy, this modality has no standard dosimetric methods that are easily applicable in clinical practice. However, the polymer gels have proven to be good dosimeters with a lot of potential, it allows a three-dimensional dose reading in particular. Our work focuses on the study and modeling of the response of MAGIC gel (Methacrylic and Ascorbic Acid in Gelatine Initiated by Copper) which is a last generation normoxic gel. The aim is to implement mathematical tools that facilitate the use of MAGIC
polymer gel as a dosimeter in internalized radiotherapy. In this study, and for practical reasons,
we used Technetium-99m (radioelement dedicated to nuclear imaging) as an internal source homogeneously distributed in the volume of the dosimeter. The radiation dose from the different activities of the radionuclide was measured by MRI by analyzing the radiation-induced change in the gels. We have developed, based on compartmental analysis, a mathematical model to describe the response of the MAGIC gel. Equations governing this model allowed us to establish the relationships that link the MRI signal to the proton densities that we classified into three categories. The intensity of this signal depends on the relaxation time of the proton considered, which varies according to the environmental situation of the proton. To establish these equations describing the variations of these densities, we classified the different protons contributing to the formation of the magnetic resonance signal, and thus the value of R2 of the gel, in several categories, each
forming a compartment. The MRI images of the MAGIC gel samples in different experimental conditions validated the theoretical approach adopted and confirmed all the hypotheses emitted during the construction of the mathematical model. The obtained results open the way for many research perspectives. This work should be able to be integrated with the numerous dosimetry simulation software platforms using Monté Carlo methods, such as GEANT4 or PENELOPE.
Diplôme : Doctorat en sciences En ligne : ../theses/physique/BOU7585.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11422 Etude et modélisation de la réponse d’un dosimètre chimique en radiothérapie interne vectorisée : Application au gel polymère MAGIC. [texte imprimé] / Nadjla Bourbia, Auteur ; Karim Mansour, Directeur de thèse . - 13 janvier 2019 . - جامعة الإخوة منتوري قسنطينة, 2019 . - 115 f. ; 30 cm.
1 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
PhysiqueTags : physique: Physique medicale Gel MAGIC Tc-99m modèle mathématique IRM MAGIC gel mathematic model MRI Index. décimale : 530 Physique Résumé : Vectorized internal radiotherapy is based on the administration of radiopharmaceuticals to patients
by the oral or intravenous route. Unlike external radiotherapy, this modality has no standard dosimetric methods that are easily applicable in clinical practice. However, the polymer gels have proven to be good dosimeters with a lot of potential, it allows a three-dimensional dose reading in particular. Our work focuses on the study and modeling of the response of MAGIC gel (Methacrylic and Ascorbic Acid in Gelatine Initiated by Copper) which is a last generation normoxic gel. The aim is to implement mathematical tools that facilitate the use of MAGIC
polymer gel as a dosimeter in internalized radiotherapy. In this study, and for practical reasons,
we used Technetium-99m (radioelement dedicated to nuclear imaging) as an internal source homogeneously distributed in the volume of the dosimeter. The radiation dose from the different activities of the radionuclide was measured by MRI by analyzing the radiation-induced change in the gels. We have developed, based on compartmental analysis, a mathematical model to describe the response of the MAGIC gel. Equations governing this model allowed us to establish the relationships that link the MRI signal to the proton densities that we classified into three categories. The intensity of this signal depends on the relaxation time of the proton considered, which varies according to the environmental situation of the proton. To establish these equations describing the variations of these densities, we classified the different protons contributing to the formation of the magnetic resonance signal, and thus the value of R2 of the gel, in several categories, each
forming a compartment. The MRI images of the MAGIC gel samples in different experimental conditions validated the theoretical approach adopted and confirmed all the hypotheses emitted during the construction of the mathematical model. The obtained results open the way for many research perspectives. This work should be able to be integrated with the numerous dosimetry simulation software platforms using Monté Carlo methods, such as GEANT4 or PENELOPE.
Diplôme : Doctorat en sciences En ligne : ../theses/physique/BOU7585.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11422 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BOU/7585 BOU/7585 Thèse Bibliothèque principale Thèses Disponible
Titre : Segmentation d’images de résonance magnétique de diffusion pour l’aide au diagnostic des pathologies cérébrales fœtales. Type de document : texte imprimé Auteurs : Mohamed Zaki Abderrezak, Auteur ; Karim Mansour, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2018 Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : IRM fœtale Segmentation Artefacts Contour Active Géodésique Gradient GVC Tumeur Sclérose En Plaque Classification Non Supervisée Segmentation Floue Distance Local et Non Local Moyenne Non Local Fetal MRI Artifacts Geodesic Active Contour Tumor Multiple Sclerosis Classification Unsupervised Fuzzy Segmentation Local and Non-Local Distance Non-Local Means الصور بالرنين المغناطيسي للجنين التقطيع الاعطاب الخطوط الجيوديسية النشطة تحويل متجه التدرج ) (GVC
ورم التصلب المتعدد تصنيف غير خاضع للرقابة التجزئة غير واضحة المسافة المحلية وغير المحلية المتوسط
غير محليIndex. décimale : 621 Electronique Résumé : Fetal MRI is a complementary modality to ultrasound examination. The segmentation of fetal MRIs is a recent method, quickly becoming an essential step in many clinical applications for antenatal monitoring of maturation or brain malformation. However, the artifacts inherent in this type of image and the low resolution of these images are at the origin of the difficulties encountered in the segmentation of these images. To overcome these, we propose in this memory, two methods of segmentation: (i) the first one is based on the geodesic active contours applied to adult MRIs for the automatic detection of the brain lesions, (ii) the second
one is based on the modification of the fuzzy segmentation to achieve the classification of fetal brain MRIs. The first method is a combination of the geodesic active contours function and the Gradient Vector Convolution (GVC) in order to improve the detection of the boundaries of the objects to be segmented. The model has been tested on adult MRIs that contain brain tumors or multiple sclerosis lesions. This model has been satisfactory in adults but not in the fetal case. This led us to use an unsupervised classification especially with
fuzzy segmentation models. We have therefore, integrated the local and non-local distance in the term of attachment to the data of the RFCM (Robust Fuzzy C-Means) energy function, and integrate non-local means in the regularization term. An algorithm based on layer-bylayer segmentation of fetal brain regions, has been developed. Quantitative and qualitative results on real cerebral fetal images showed the efficacy and robustness of the proposed method compared to the methods described in the literature.
Diplôme : Doctorat En ligne : ../theses/electronique/ABD7321.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10971 Segmentation d’images de résonance magnétique de diffusion pour l’aide au diagnostic des pathologies cérébrales fœtales. [texte imprimé] / Mohamed Zaki Abderrezak, Auteur ; Karim Mansour, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2018 . - ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : IRM fœtale Segmentation Artefacts Contour Active Géodésique Gradient GVC Tumeur Sclérose En Plaque Classification Non Supervisée Segmentation Floue Distance Local et Non Local Moyenne Non Local Fetal MRI Artifacts Geodesic Active Contour Tumor Multiple Sclerosis Classification Unsupervised Fuzzy Segmentation Local and Non-Local Distance Non-Local Means الصور بالرنين المغناطيسي للجنين التقطيع الاعطاب الخطوط الجيوديسية النشطة تحويل متجه التدرج ) (GVC
ورم التصلب المتعدد تصنيف غير خاضع للرقابة التجزئة غير واضحة المسافة المحلية وغير المحلية المتوسط
غير محليIndex. décimale : 621 Electronique Résumé : Fetal MRI is a complementary modality to ultrasound examination. The segmentation of fetal MRIs is a recent method, quickly becoming an essential step in many clinical applications for antenatal monitoring of maturation or brain malformation. However, the artifacts inherent in this type of image and the low resolution of these images are at the origin of the difficulties encountered in the segmentation of these images. To overcome these, we propose in this memory, two methods of segmentation: (i) the first one is based on the geodesic active contours applied to adult MRIs for the automatic detection of the brain lesions, (ii) the second
one is based on the modification of the fuzzy segmentation to achieve the classification of fetal brain MRIs. The first method is a combination of the geodesic active contours function and the Gradient Vector Convolution (GVC) in order to improve the detection of the boundaries of the objects to be segmented. The model has been tested on adult MRIs that contain brain tumors or multiple sclerosis lesions. This model has been satisfactory in adults but not in the fetal case. This led us to use an unsupervised classification especially with
fuzzy segmentation models. We have therefore, integrated the local and non-local distance in the term of attachment to the data of the RFCM (Robust Fuzzy C-Means) energy function, and integrate non-local means in the regularization term. An algorithm based on layer-bylayer segmentation of fetal brain regions, has been developed. Quantitative and qualitative results on real cerebral fetal images showed the efficacy and robustness of the proposed method compared to the methods described in the literature.
Diplôme : Doctorat En ligne : ../theses/electronique/ABD7321.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10971 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ABD/7321 ABD/7321 Thèse Bibliothèque principale Thèses Disponible
