Geometry-based demosaicking

Demosaicking is a particular case of interpolation problems where, from a scalar image in which each pixel has either the red, the green or the blue component, we want to interpolate the full-color image. State-of-the-art demosaicking algorithms perform interpolation along edges, but these edges are estimated locally. We propose a level-set-based geometric method to estimate image edges, inspired by the image in-painting literature. This method has a time complexity of O(S) , where S is the number of pixels in the image, and compares favorably with the state-of-the-art algorithms both visually and in most relevant image quality measures.

A post-processing pipeline to reconstruct the developing fetal brain using low-resolution MRI

Introduction. Development of the fetal brain surfacewith concomitant gyrification is one of the majormaturational processes of the human brain. Firstdelineated by postmortem studies or by ultrasound, MRIhas recently become a powerful tool for studying in vivothe structural correlates of brain maturation. However,the quantitative measurement of fetal brain developmentis a major challenge because of the movement of the fetusinside the amniotic cavity, the poor spatial resolution,the partial volume effect and the changing appearance ofthe developing brain. Today extensive efforts are made todeal with the âeurooepost-acquisitionâeuro reconstruction ofhigh-resolution 3D fetal volumes based on severalacquisitions with lower resolution (Rousseau, F., 2006;Jiang, S., 2007). We here propose a framework devoted tothe segmentation of the basal ganglia, the gray-whitetissue segmentation, and in turn the 3D corticalreconstruction of the fetal brain. Method. Prenatal MRimaging was performed with a 1-T system (GE MedicalSystems, Milwaukee) using single shot fast spin echo(ssFSE) sequences in fetuses aged from 29 to 32gestational weeks (slice thickness 5.4mm, in planespatial resolution 1.09mm). For each fetus, 6 axialvolumes shifted by 1 mm were acquired (about 1 min pervolume). First, each volume is manually segmented toextract fetal brain from surrounding fetal and maternaltissues. Inhomogeneity intensity correction and linearintensity normalization are then performed. A highspatial resolution image of isotropic voxel size of 1.09mm is created for each fetus as previously published byothers (Rousseau, F., 2006). B-splines are used for thescattered data interpolation (Lee, 1997). Then, basalganglia segmentation is performed on this superreconstructed volume using active contour framework witha Level Set implementation (Bach Cuadra, M., 2010). Oncebasal ganglia are removed from the image, brain tissuesegmentation is performed (Bach Cuadra, M., 2009). Theresulting white matter image is then binarized andfurther given as an input in the Freesurfer software(http://surfer.nmr.mgh.harvard.edu/) to provide accuratethree-dimensional reconstructions of the fetal brain.Results. High-resolution images of the cerebral fetalbrain, as obtained from the low-resolution acquired MRI,are presented for 4 subjects of age ranging from 29 to 32GA. An example is depicted in Figure 1. Accuracy in theautomated basal ganglia segmentation is compared withmanual segmentation using measurement of Dice similarity(DSI), with values above 0.7 considering to be a verygood agreement. In our sample we observed DSI valuesbetween 0.785 and 0.856. We further show the results ofgray-white matter segmentation overlaid on thehigh-resolution gray-scale images. The results arevisually checked for accuracy using the same principlesas commonly accepted in adult neuroimaging. Preliminary3D cortical reconstructions of the fetal brain are shownin Figure 2. Conclusion. We hereby present a completepipeline for the automated extraction of accuratethree-dimensional cortical surface of the fetal brain.These results are preliminary but promising, with theultimate goal to provide âeurooemovieâeuro of the normal gyraldevelopment. In turn, a precise knowledge of the normalfetal brain development will allow the quantification ofsubtle and early but clinically relevant deviations.Moreover, a precise understanding of the gyraldevelopment process may help to build hypotheses tounderstand the pathogenesis of several neurodevelopmentalconditions in which gyrification have been shown to bealtered (e.g. schizophrenia, autismâeuro¦). References.Rousseau, F. (2006), 'Registration-Based Approach forReconstruction of High-Resolution In Utero Fetal MR Brainimages', IEEE Transactions on Medical Imaging, vol. 13,no. 9, pp. 1072-1081. Jiang, S. (2007), 'MRI of MovingSubjects Using Multislice Snapshot Images With VolumeReconstruction (SVR): Application to Fetal, Neonatal, andAdult Brain Studies', IEEE Transactions on MedicalImaging, vol. 26, no. 7, pp. 967-980. Lee, S. (1997),'Scattered data interpolation with multilevel B-splines',IEEE Transactions on Visualization and Computer Graphics,vol. 3, no. 3, pp. 228-244. Bach Cuadra, M. (2010),'Central and Cortical Gray Mater Segmentation of MagneticResonance Images of the Fetal Brain', ISMRM Conference.Bach Cuadra, M. (2009), 'Brain tissue segmentation offetal MR images', MICCAI.

Vessel centerline tracking and boundary sgementation in coronary MRA with minimal manual interaction.

Magnetic resonance angiography (MRA) provides a noninvasive means to detect the presence, location and severity of atherosclerosis throughout the vascular system. In such studies, and especially those in the coronary arteries, the vessel luminal area is typically measured at multiple cross-sectional locations along the course of the artery. The advent of fast volumetric imaging techniques covering proximal to mid segments of coronary arteries necessitates automatic analysis tools requiring minimal manual interactions to robustly measure cross-sectional area along the three-dimensional track of the arteries in under-sampled and non-isotropic datasets. In this work, we present a modular approach based on level set methods to track the vessel centerline, segment the vessel boundaries, and measure transversal area using two user-selected endpoints in each coronary of interest. Arterial area and vessel length are measured using our method and compared to the standard Soap-Bubble reformatting and analysis tool in in-vivo non-contrast enhanced coronary MRA images.

Kernel-Based Ranking. Methods for Learning and Performance Estimation

Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

I volontari italiani nelle Waffen-SS. Il pensiero politico, la formazione culturale e le motivazioni al volontariato. Una storia orale

My doctoral dissertation examines the experiences of the Italian volunteers in the Waffen-SS troops using in-depth interviews with former volunteers as the main primary source. This phenomenon, even if significant in size (depending on the source, some 15 000-20 000 Italian men volunteered in the Waffen-SS), has been hitherto largely unknown to historical research. The available literature on the Italian volunteers, mainly written by military history enthusiast journalists and methodologically weak, concentrates mainly on the combat operations and military organization, and offers a rather stereotypical profile of the volunteers. My dissertation does not aim to reconstruct the military history of the different divisions of the Waffen-SS in which Italian volunteers operated but instead to examine the subjective, private and intimate experience of the volunteers in order to understand the motivations, attitudes, beliefs and cultural and family background, as well as their political ideas. The main objective of my doctoral dissertation is to discover the ideological precepts of the volunteers’ political credo. As the last phase of fascism and its ideology, often defined as the “Germanisation” or “Nazification” of fascism, is still the object of wide academic debate, a better understanding of the volunteers’ ideology also contributes to deepening overall knowledge of the nature of this last phase. The theoretical frame of my dissertation lies in oral history, in particular in the postmodernist approach to oral history, through which I reconstruct the volunteers’ ideology. In-depth interviews with former volunteers are the main primary source, but multiple data collection methods have been adopted. Phone interviews and correspondence with the volunteers have also been considered as primary sources. In addition to interviews and correspondence, family archives consisting of diaries, correspondence with the volunteers’ relatives and photographic material have also been collected and examined. An ethnographic observation of the volunteers’ domestic spaces has been conducted during the in-depth interviews, and photo self-elicitation techniques have been used in cases where the volunteers were willing to share their photographs. An exhaustive portrait of the ideological structure of the volunteers has been obtained, as well as of the cultural and social origins of the values that contributed to the rise and adoption of this ideology. Further, the volunteers’ motivations to enlist have been clearly reconstructed, together with their cultural, political, social and military backgrounds. The results of the research are particularly relevant both for comprehension of the Italian phenomenon of volunteering in the Waffen-SS and for the reconstruction of the ideological dynamics of the last phase of fascism. The volunteers’ political and ideological system, which can be defined as the Italian SS-fascist ideology, disagrees strongly with the vaguely described ideological profile offered by previous studies that describe volunteers as generically “super-fascist”. The research also offers the opportunity for a deeper understanding of the final fascist ideological trajectory, currently defined, not without a certain level of approximation, as the “Germanisation” or “Nazification” of fascist ideology.

Morphoquantitative description of bovine digital cushion

Abstract The digital cushion is characterized as a modified subcutaneous tissue that absorbs the shock during gait, assists venous return of the hoof and supports a considerable part of body weight. Digital cushions have particular importance in the pathogenesis of the hoof, since they need to properly work in order to prevent compression and traumas in soft tissues. This study aimed to measure and determine how is the arrangement of these structures, and for this it was established the proportions of connective, adipose, vascular tissues and collagen fibers and collagen types found in palmar and plantar digital cushion of bovine using fore and hindlimbs of twelve adult zebu cattle of both sexes, 11 male and one female, with 269kg average carcass weight and without limb disorders. Fragments of cushions were subjected to conventional histology, cut to a thickness of 4µm and stained with Red Picrosirius. With digital optical microscope, the quantification of the connective tissue and differentiation of types of collagen used the Image Pro Plus® software, and of adipose and vascular tissue, the test point system. The mean and standard error were estimated with the GraphPad Prism 5.0 software, and then data were subjected to Kolmogorov-Smirnov normality test and Student's t-test with significance level set at 5% for determining the amount of different tissues between fore and hindlimbs of studied animals. In forelimbs the mean and standard error of the connective tissue proportion was 50.10%+1.54, of the adipose tissue was 21.34%+1.44, and of vascular tissue was 3.43%+0.28. Hindlimbs presented a proportion of connective tissue of 61.61%+1.47, 20.66%+1.53 of adipose tissue, and 3.06%+0.20 of vascular tissue. A significant difference (p<0.001) was detected in the connective tissue proportion between fore and hindlimbs. Types I and II collagen fibers have presented, respectively, a proportion of 31.89% and 3.9% in forelimbs and 34.05% and 1.78% in hindlimbs. According to the used methodology, digital cushions had a clear differentiation relative to adipose tissue between fore and hindlimbs.

Simulation numérique de feux de forêt avec réinitialisation et contournement d’obstacles

Ce travail présente une technique de simulation de feux de forêt qui utilise la méthode Level-Set. On utilise une équation aux dérivées partielles pour déformer une surface sur laquelle est imbriqué notre front de flamme. Les bases mathématiques de la méthode Level-set sont présentées. On explique ensuite une méthode de réinitialisation permettant de traiter de manière robuste des données réelles et de diminuer le temps de calcul. On étudie ensuite l’effet de la présence d’obstacles dans le domaine de propagation du feu. Finalement, la question de la recherche du point d’ignition d’un incendie est abordée.

Approche cartésienne pour le calcul du vent en terrain complexe avec application à la propagation des feux de forêt

La méthode de projection et l'approche variationnelle de Sasaki sont deux techniques permettant d'obtenir un champ vectoriel à divergence nulle à partir d'un champ initial quelconque. Pour une vitesse d'un vent en haute altitude, un champ de vitesse sur une grille décalée est généré au-dessus d'une topographie donnée par une fonction analytique. L'approche cartésienne nommée Embedded Boundary Method est utilisée pour résoudre une équation de Poisson découlant de la projection sur un domaine irrégulier avec des conditions aux limites mixtes. La solution obtenue permet de corriger le champ initial afin d'obtenir un champ respectant la loi de conservation de la masse et prenant également en compte les effets dûs à la géométrie du terrain. Le champ de vitesse ainsi généré permettra de propager un feu de forêt sur la topographie à l'aide de la méthode iso-niveaux. L'algorithme est décrit pour le cas en deux et trois dimensions et des tests de convergence sont effectués.

Effets du port continu de coquilles correctrices Invisalign® sur l’articulation temporo-mandibulaire et les muscles du complexe facial.

INTRODUCTION : L’articulation temporo-mandibulaire (ATM) est un système articulaire excessivement complexe. L'étiologie des désordres temporo-mandibulaires (DTM) est encore incertaine et le lien de cause à effet des traitements orthodontiques en tant que facteur de risque est une question qui a longuement été discutée. Cette étude clinique prospective vise à évaluer les effets à long terme du port continu de coquilles correctrices Invisalign® sur l’ATM et les muscles du complexe facial. MATÉRIELS ET MÉTHODES : L'étude incluait 43 adolescents et adultes âgés entre 13 et 51 ans (25 femmes et 18 hommes). Deux d'entre eux ont été exclus en raison de mauvaise coopération causant l’arrêt du traitement orthodontique. Les effets dans le temps des coquilles sur l'ATM et les muscles du complexe facial ont été évalués en utilisant l’examen du Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD). Le nombre de contractions musculaires durant le sommeil a été mesuré objectivement par enregistrements électromyographiques (EMG) et la fréquence de grincement et de serrement des dents à l’éveil a été rapportée subjectivement par les patients à l’aide de questionnaires. Des mesures répétées ont été effectuées aux temps suivants: avant le début du traitement pour les données contrôles (T1), deux semaines (T2), et six mois (T3) après le début du traitement. Les données numériques ont été analysées par l’analyse de variance (ANOVA) en mesures répétées et la méthode de Brunner-Langer, alors que les données nominales ont été évaluées par le test de Cochran-Mantel-Haenszel. Les résultats ont été considérés significatifs si p < 0.05. RÉSULTATS ET DISCUSSION : Le nombre de contractions musculaires par heure (index) durant le sommeil et leur durée moyenne n’ont pas été statistiquement différents entre les trois nuits d’enregistrement EMG (Brunner Langer, p > 0.005). Cependant, 67 % des participants ont rapporté avoir eu du grincement ou du serrement des dents la nuit au T2 et 64 % au T3 comparativement à 39 % au T1, ce qui était une augmentation significative (Cochran-Mantel-Haenszel, p = 0.0112). Quarante-quatre pour cent des patients ont signalé du grincement ou du serrement des dents pendant le jour au T1, tandis qu'un pourcentage nettement plus élevé de 66 % en a rapporté au T2 et 61 % au T3 (Cochran-Mantel-Haenszel, p = 0.0294). Au T1, 12 % des sujets ont indiqué qu'ils se sont réveillés avec une douleur musculaire, comparativement à 29 % au T2, ce qui était une augmentation significative (Cochran-Mantel-Haenszel, p = 0.0347). Au T2, il y avait une réduction significative des mouvements maximaux de la mandibule dans toutes les directions (ANOVA en mesures répétées, p < 0,05). De plus, il y a eu une augmentation significative du nombre de sites douloureux et de l'intensité de la douleur à la palpation de l'ATM et des muscles faciaux avec l'évaluation du RDC/TMD au T2 en comparaison aux T1 et T3 (Brunner Langer, p < 0,05). CONCLUSION : La présente étude n’a révélé aucun effet des coquilles sur l’activité oro-faciale durant le sommeil au fil du temps mesurée objectivement à l’aide des enregistrements EMG, mais une augmentation significative de la fréquence du grincement et du serrement des dents rapportée subjectivement par les patients au moyen des questionnaires aux T2 et T3. Au T2, il y avait une augmentation significative des symptômes de l'ATM et des muscles du complexe oro-facial, mais ces symptômes sont retournés au niveau initial avec le temps.

Méthodes rapides et efficaces pour la résolution numérique d'équations de type Hamilton-Jacobi avec application à la simulation de feux de forêt

Cette thèse est divisée en trois chapitres. Le premier explique comment utiliser la méthode «level-set» de manière rigoureuse pour faire la simulation de feux de forêt en utilisant comme modèle physique pour la propagation le modèle de l'ellipse de Richards. Le second présente un nouveau schéma semi-implicite avec une preuve de convergence pour la solution d'une équation de type Hamilton-Jacobi anisotrope. L'avantage principal de cette méthode est qu'elle permet de réutiliser des solutions à des problèmes «proches» pour accélérer le calcul. Une autre application de ce schéma est l'homogénéisation. Le troisième chapitre montre comment utiliser les méthodes numériques des deux premiers chapitres pour étudier l'influence de variations à petites échelles dans la vitesse du vent sur la propagation d'un feu de forêt à l'aide de la théorie de l'homogénéisation.

Image restoration for a rectangular poor-pixels detector

This paper presents a unique two-stage image restoration framework especially for further application of a novel rectangular poor-pixels detector, which, with properties of miniature size, light weight and low power consumption, has great value in the micro vision system. To meet the demand of fast processing, only a few measured images shifted up to subpixel level are needed to join the fusion operation, fewer than those required in traditional approaches. By maximum likelihood estimation with a least squares method, a preliminary restored image is linearly interpolated. After noise removal via Canny operator based level set evolution, the final high-quality restored image is achieved. Experimental results demonstrate effectiveness of the proposed framework. It is a sensible step towards subsequent image understanding and object identification.

Mapping low- and high-density clouds in astrophysical nebulae by imaging forbidden line emission

Emission line ratios have been essential for determining physical parameters such as gas temperature and density in astrophysical gaseous nebulae. With the advent of panoramic spectroscopic devices, images of regions with emission lines related to these physical parameters can, in principle, also be produced. We show that, with observations from modern instruments, it is possible to transform images taken from density-sensitive forbidden lines into images of emission from high- and low-density clouds by applying a transformation matrix. In order to achieve this, images of the pairs of density-sensitive lines as well as the adjacent continuum have to be observed and combined. We have computed the critical densities for a series of pairs of lines in the infrared, optical, ultraviolet and X-rays bands, and calculated the pair line intensity ratios in the high- and low-density limit using a four- and five-level atom approximation. In order to illustrate the method, we applied it to Gemini Multi-Object Spectrograph (GMOS) Integral Field Unit (GMOS-IFU) data of two galactic nuclei. We conclude that this method provides new information of astrophysical interest, especially for mapping low- and high-density clouds; for this reason, we call it `the ld/hd imaging method`.

Front tracking with moving-least-squares surfaces

The representation of interfaces by means of the algebraic moving-least-squares (AMLS) technique is addressed. This technique, in which the interface is represented by an unconnected set of points, is interesting for evolving fluid interfaces since there is]to surface connectivity. The position of the surface points can thus be updated without concerns about the quality of any surface triangulation. We introduce a novel AMLS technique especially designed for evolving-interfaces applications that we denote RAMLS (for Robust AMLS). The main advantages with respect to previous AMLS techniques are: increased robustness, computational efficiency, and being free of user-tuned parameters. Further, we propose a new front-tracking method based on the Lagrangian advection of the unconnected point set that defines the RAMLS surface. We assume that a background Eulerian grid is defined with some grid spacing h. The advection of the point set makes the surface evolve in time. The point cloud can be regenerated at any time (in particular, we regenerate it each time step) by intersecting the gridlines with the evolved surface, which guarantees that the density of points on the surface is always well balanced. The intersection algorithm is essentially a ray-tracing algorithm, well-studied in computer graphics, in which a line (ray) is traced so as to detect all intersections with a surface. Also, the tracing of each gridline is independent and can thus be performed in parallel. Several tests are reported assessing first the accuracy of the proposed RAMLS technique, and then of the front-tracking method based on it. Comparison with previous Eulerian, Lagrangian and hybrid techniques encourage further development of the proposed method for fluid mechanics applications. (C) 2008 Elsevier Inc. All rights reserved.

Efeito da técnica de oscilação oral de alta freqüência aplicada em diferentes pressões expiratórias sobre a função autonômica do coração e os parâmetros cardiorrespiratórios

O objetivo deste estudo foi avaliar o efeito da técnica de oscilação oral de alta freqüência (com o aparelho Shaker), aplicada em diferentes pressões expiratórias (PE), sobre a função autonômica e parâmetros cardiorrespiratórios. Foram coletados dados de 20 voluntários jovens saudáveis (21,6±1,3 anos), que permaneceram em repouso inicial por 10 minutos e, em seguida, fizeram três séries de dez expirações no aparelho (com intervalo de descanso de 2 minutos entre as séries) em três diferentes PE - pressão livre (PL), de 10 (P10) e de 20 (P20) cmH2O - permanecendo por mais 10 minutos em repouso final. Os dados foram analisados estatisticamente, com nível de significância de 5%. Após a aplicação da técnica, constatou-se diferença significante nos índices de variabilidade da freqüência cardíaca em PL e um aumento significante na pressão arterial sistólica em P20. Na pressão arterial diastólica, freqüência respiratória e saturação periférica de oxigênio não foram encontradas diferenças antes, durante e após a técnica, nas diferentes PE. A percepção do esforço aumentou significantemente ao longo das séries em PL e P20 e entre P10 e P20 em cada série. A freqüência cardíaca (FC) aumentou e diminuiu em sincronia com os movimentos de inspiração e expiração, respectivamente. Foram observadas modificações na modulação autonômica do coração em PL. A aplicação da técnica nessa população, nas diferentes PE analisadas, promoveu modificações no comportamento da FC, no esforço percebido e, em PL, na modulação autonômica do coração.

Estudo da expressão imuno-histoquímica das proteínas MMP-9, MMP-13 e TIMP-1 em ameloblastomas e tumores odontogênicos ceratocistos

Ameloblastomas and keratocystic odontogenic tumors (KOT) represent odontogenic lesions that, despite their benign nature, are distinguished by a distinct biological behavior, characterized by locally aggressive growth and recurrent episodes. The gnathic bone resorption caused by the growth of these lesions is a key to the expansion of the same, both being mediated by osteoclastic cells like enzymatic activity of various matrix metalloproteinases (MMPs) factor. The expression of stimulatory factors and inhibitors of bone resorption has been correlated with the development of these lesions, with emphasis to some MMPs such as collagenases and gelatinases and tissue inhibitors of metalloproteinases (TIMPs), among others. Based on the premise that stimulatory and inhibitory factors of osteolytic processes can be decisive for the growth rate of intraosseous odontogenic lesions, this experiment evaluated the immunoreactivity of MMP-9, -13 and TIMP-1 protein in the epithelium and mesenchyme of ameloblastoma and the KOT specimens, by a quantitative analysis of the immunoreactivity cells. Statistical analysis was performed using the Mann-Whitney and Wilcoxon tests with a significance level set at 5 %. Immunohistochemical expression of MMP-9, -13 and TIMP-1 was observed in 100% of cases both in the epithelium and in mesenchyme. The immunoreactivity in the epithelium of KOT and ameloblastomas revealed a predominance of score 3 for MMP-9 (p=0.382) and MMP-13 (p=0.069) and no statistically significance for TIMP-1, the latter being significantly higher immunoreactivity in ameloblastomas. In the mesenchyme, there was a higher score immunoreactivity of MMP-13 (p=0.031) in ameloblastomas in relation to KOT, whereas for MMP-9 and TIMP-1 no statistically significant difference (p=0.403 was observed, p=1.000). The calculation of the ratio of scores revealed expression of proteins in general, similarity of the lesions, a significant predominance of equal expression of TIMP-1 and MMP-9 was observed only in the epithelium of ameloblastoma. The marked immunostaining of MMP-9 , MMP-13 and TIMP-1 in epithelium and mesenchyme of the lesion indicate that these proteins involved in ECM remodeling required for tumor progression, however, specific differences in the expression of some of these proteins, are not sufficient to suggest differences in the biological behavior of ameloblastomas and KOTs