913 resultados para segmentation and reverberation
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Presence of the orthographic mistakes on the writting of the students with or without learning difficulties still is a concern. The focus of these study is the classification of orthographic mistakes on the writting of the students who had participated of the Educational Program of Resistance to the Drugs and the Violence (Proerd). Sixty four grade children from a public school were individually analyzed in this study. The aim of this study was to verify the frequency and characterization of the orthographic mistakes on the texts production these students. We had as base for this analysis the studies of Zorzi (1998). The most frequent mistakes made by students were: irregular phonographemic relation (24%), letters omission (18%), similar letters (13%) and hypo-segmentation and hyper-segmentation (11,0%), amongst others. The characterization of the mistakes writing makes possible the planning of the interventions, as well as, the use of the prevention strategies.
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Paediatric diagnostic radiology can be considered as a separate specialty and with distinct characteristics of the radiology applied in adult patients. This in reason of the variability in the anatomical structures size and bigger sensitivity of tissues. The literature present in its majority methodologies for segmentation and tissue classification in adult patients, and works on tissue quantification are rare. This work had for objective the development of a biological tissue classifier and quantifier algorithm, from histograms, and that converts the quantified average thickness of these tissues for its respective simulator materials. The results will be used in the optimization process of paediatrics images, in future works, since these patients are frequently over exposed to the radiation in the repeated attempts of if getting considered good quality radiographic images. The developed algorithm was capable to read and store the name of all the archives, in the operational system, to filter artifacs, to count and quantify each biological tissues from the histogram of the examination, to obtain the biological tissues average thicknesses and to convert this value into its respective simulator material. The results show that it is possible to distinguish bone, soft, fat and pulmonary tissues from histograms of tomographic examinations of thorax. The quantification of the constituent materials of anthropomorphic phantom made by the algorithm, compared with the data of literature shows that the biggest difference was of 21,6% for bone. However, the literature shows that variations of up to 30% in bone thickness do not influence of significant form in the radiographic image quality. The average thicknesses of biological tissues, quantified for paediatrics patients, show that one phantom can simulate patients with distinct DAP ranges, since variations... (Complete abstract click electronic access below)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Color texture classification is an important step in image segmentation and recognition. The color information is especially important in textures of natural scenes, such as leaves surfaces, terrains models, etc. In this paper, we propose a novel approach based on the fractal dimension for color texture analysis. The proposed approach investigates the complexity in R, G and B color channels to characterize a texture sample. We also propose to study all channels in combination, taking into consideration the correlations between them. Both these approaches use the volumetric version of the Bouligand-Minkowski Fractal Dimension method. The results show a advantage of the proposed method over other color texture analysis methods. (C) 2011 Elsevier Ltd. All rights reserved.
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This paper provides a brief but comprehensive guide to creating, preparing and dissecting a 'virtual' fossil, using a worked example to demonstrate some standard data processing techniques. Computed tomography (CT) is a 3D imaging modality for producing 'virtual' models of an object on a computer. In the last decade, CT technology has greatly improved, allowing bigger and denser objects to be scanned increasingly rapidly. The technique has now reached a stage where systems can facilitate large-scale, non-destructive comparative studies of extinct fossils and their living relatives. Consequently the main limiting factor in CT-based analyses is no longer scanning, but the hurdles of data processing (see disclaimer). The latter comprises the techniques required to convert a 3D CT volume (stack of digital slices) into a virtual image of the fossil that can be prepared (separated) from the matrix and 'dissected' into its anatomical parts. This technique can be applied to specimens or part of specimens embedded in the rock matrix that until now have been otherwise impossible to visualise. This paper presents a suggested workflow explaining the steps required, using as example a fossil tooth of Sphenacanthus hybodoides (Egerton), a shark from the Late Carboniferous of England. The original NHMUK copyrighted CT slice stack can be downloaded for practice of the described techniques, which include segmentation, rendering, movie animation, stereo-anaglyphy, data storage and dissemination. Fragile, rare specimens and type materials in university and museum collections can therefore be virtually processed for a variety of purposes, including virtual loans, website illustrations, publications and digital collections. Micro-CT and other 3D imaging techniques are increasingly utilized to facilitate data sharing among scientists and on education and outreach projects. Hence there is the potential to usher in a new era of global scientific collaboration and public communication using specimens in museum collections.
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During the last few years, several methods have been proposed in order to study and to evaluate characteristic properties of the human skin by using non-invasive approaches. Mostly, these methods cover aspects related to either dermatology, to analyze skin physiology and to evaluate the effectiveness of medical treatments in skin diseases, or dermocosmetics and cosmetic science to evaluate, for example, the effectiveness of anti-aging treatments. To these purposes a routine approach must be followed. Although very accurate and high resolution measurements can be achieved by using conventional methods, such as optical or mechanical profilometry for example, their use is quite limited primarily to the high cost of the instrumentation required, which in turn is usually cumbersome, highlighting some of the limitations for a routine based analysis. This thesis aims to investigate the feasibility of a noninvasive skin characterization system based on the analysis of capacitive images of the skin surface. The system relies on a CMOS portable capacitive device which gives 50 micron/pixel resolution capacitance map of the skin micro-relief. In order to extract characteristic features of the skin topography, image analysis techniques, such as watershed segmentation and wavelet analysis, have been used to detect the main structures of interest: wrinkles and plateau of the typical micro-relief pattern. In order to validate the method, the features extracted from a dataset of skin capacitive images acquired during dermatological examinations of a healthy group of volunteers have been compared with the age of the subjects involved, showing good correlation with the skin ageing effect. Detailed analysis of the output of the capacitive sensor compared with optical profilometry of silicone replica of the same skin area has revealed potentiality and some limitations of this technology. Also, applications to follow-up studies, as needed to objectively evaluate the effectiveness of treatments in a routine manner, are discussed.
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Die phylogenetische Position der Mollusken innerhalb der Trochozoa sowie die interne Evolution der Klassen der Mollusca sind weitgehend unbekannt und wurden in meiner Arbeit anhand molekularer Merkmale untersucht. Phylogenomische Analysen zeigten in der Vergangenheit eine gute Auflösung für ursprüngliche Speziationsereignisse. Daher wurden hier drei neue EST Datensätze generiert: für Sipunculus nudus (Sipuncula), Barentsia elongata (Kamptozoa) und Lepidochitona cinerea, (Polyplacophora, Mollusca). Zusätzlich wurden gezielt Gene verschiedener Mollusken mittels RT-PCR amplifiziert. rnSowohl Kamptozoen als auch Sipunculiden wurden aufgrund morphologischer Kriterien bisher als mögliche Schwestergruppe der Mollusken gehandelt, aber die hier erzielten Ergebnisse zur Evolution der Hämerythrine, Gen-Anordnungen der mitochondrialen Genome und phylogenetische Analysen der ribosomalen und der mitochondriellen Proteine stützen diese Hypothese nicht. Die Position der Kamptozoa erwies sich hier generell als unbeständig; phylogenomische Analysen deuten eine Nähe zu den Bryozoen an, aber diese Position wird stark durch die Auswahl der Taxa beeinflusst. Dagegen weisen meine Analysen klar auf eine nähere Beziehung zwischen Annelida und Sipuncula hin. Die ribosomalen Proteine zeigen Sipuncula (und Echiura) sogar als Subtaxa der Anneliden. Wie den Mollusken fehlt den Sipunculiden jegliche Segmentierung und meine Ergebnisse legen hier die Möglichkeit des Verlusts dieses Merkmals innerhalb der Anneliden bei den Sipunculiden nahe. Innerhalb der Mollusken wurden die Solenogastren bereits als Schwestergruppe aller rezenten Mollusken vorgeschlagen. Im Rahmen meiner Arbeit wurden von drei verschiedenen Solenogastren-Arten die ersten zuverlässigen 18S rRNA-Sequenzen ermittelt, und es zeigte sich, dass alle bisher veröffentlichten 18S-Sequenzen dieser Molluskenklasse höchst unvollständig oder fehlerhaft sind. rnRibosomale Proteine sind gute phylogenetische Marker und hier wurden die Auswahl und Anzahl dieser Gene für phylogenetische Analysen optimiert. Über Sonden-basierte Detektion wurde eine sampling-Strategie getestet, die im Vergleich mit standard-phylogenomischen Ansätzen zukünftige molekulare Stammbaumrekonstruktionen mit größerem Taxonsampling ermöglicht.rn
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Autism Spectrum Disorders (ASDs) describe a set of neurodevelopmental disorders. ASD represents a significant public health problem. Currently, ASDs are not diagnosed before the 2nd year of life but an early identification of ASDs would be crucial as interventions are much more effective than specific therapies starting in later childhood. To this aim, cheap an contact-less automatic approaches recently aroused great clinical interest. Among them, the cry and the movements of the newborn, both involving the central nervous system, are proposed as possible indicators of neurological disorders. This PhD work is a first step towards solving this challenging problem. An integrated system is presented enabling the recording of audio (crying) and video (movements) data of the newborn, their automatic analysis with innovative techniques for the extraction of clinically relevant parameters and their classification with data mining techniques. New robust algorithms were developed for the selection of the voiced parts of the cry signal, the estimation of acoustic parameters based on the wavelet transform and the analysis of the infant’s general movements (GMs) through a new body model for segmentation and 2D reconstruction. In addition to a thorough literature review this thesis presents the state of the art on these topics that shows that no studies exist concerning normative ranges for newborn infant cry in the first 6 months of life nor the correlation between cry and movements. Through the new automatic methods a population of control infants (“low-risk”, LR) was compared to a group of “high-risk” (HR) infants, i.e. siblings of children already diagnosed with ASD. A subset of LR infants clinically diagnosed as newborns with Typical Development (TD) and one affected by ASD were compared. The results show that the selected acoustic parameters allow good differentiation between the two groups. This result provides new perspectives both diagnostic and therapeutic.
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Zentrales Thema der Arbeit war die Aufklärung von Verwandtschaftsverhältnissen im „Tree of Life“ der vielzelligen Tiere (Metazoa) unter Einsatz großer DNA-Sequenzdatensätze und phylogenomischer Methoden. Zur Untersuchung der internen Phylogenie der Syndermata (= meist freilebende Rädertiere („Rotifera“) + endoparasitische Kratzwürmer (Acanthocephala)) sowie ihrer Position im Metazoen-Stammbaum wurden insgesamt sieben neue mitochondriale (mt) Genome sowie neue Transkriptom-Sequenzdaten von sieben verschiedenen Syndermata-Spezies generiert und/oder analysiert. Die Stammbaumrekonstruktionen auf Grundlage dieser sowie orthologer Sequenzen anderer Spezies in Form von phylogenomischen Datensätzen mit bis zu 82.000 Aminosäurepositionen ergaben folgende Aussagen zur Evolution: (i) Innerhalb der Acanthocephala bilden monophyletische Palaeacanthocephala das Schwestertaxon zu den Eoacanthocephala. Die Archiacanthocephala sind Schwestertaxon zu allen vorgenannten. (ii) Innerhalb der Syndermata bilden die epizoisch lebenden Seisonidea das Schwestertaxon zu den endoparasitischen Acanthocephala (= Pararotatoria), die Bdelloidea sind das Schwestertaxon zu den Pararotatoria (= Hemirotifera) und die Monogononta das Schwestertaxon zu den Hemirotifera. Die klassischen Eurotatoria (= Bdelloidea + Monogononta) sind demnach paraphyletisch. (iii) Innerhalb der Metazoa bilden die Syndermata gemeinsam mit den Gnathostomulida die Gnathifera. Diese sind die Schwestergruppe zu allen anderen Spiralia-Taxa, welche sich in Rouphozoa (= Platyhelminthes + Gastrotricha) sowie die Lophotrochozoa aufspalten. Die Platyzoa (= Gnathifera + Platyhelminthes + Gastrotricha) sind demnach paraphyletisch. Diese phylogenetischen Hypothesen wurden im Hinblick auf ihre Implikationen für die Evolution morphologischer und ökologischer Merkmale interpretiert. Demnach sind während der Evolution dieser Tiergruppen mehrfach sekundäre Verlustereignisse von komplexen morphologischen Merkmalen aufgetreten (laterale sensorische Organe innerhalb der Acanthocephala und das Räderorgan (Corona) innerhalb der Syndermata), was die Verwendung dieser Merkmale im Sinne einer klassisch-morphologischen Phylogenetik kritisch erscheinen lässt. Der Endoparasitismus der Acanthocephala hat sich wahrscheinlich über ein epizoisches Zwischenstadium, wie man es heute noch bei den Seisonidea findet, entwickelt. Der letzte gemeinsame Vorfahre der Spiralia war vermutlich klein und unsegmentiert und besaß keine echte Leibeshöhle (Coelom). Demnach hätten sich Segmentierung und Coelome innerhalb der Metazoa mehrfach unabhängig voneinander (konvergent) entwickelt. Die Arbeit beinhaltete folgende weitere, zum Teil methodische Aspekte: (i) die Analyse der Architektur der mt Genome der Monogononta bestätigte die aberrante Organisation in zwei Subgenomen für die Brachionidae. (ii) Eine Prüfung der Tauglichkeit ribosomaler Proteine für molekular-phylogenetische Arbeiten ergab das Vorhandensein widersprüchlicher phylogenetischer Signale in diesen speziellen Proteinsequenzen. (iii) Es konnte nachgewiesen werden, dass systematische Fehler wie „long-branch attraction“ bei der Positionierung der Syndermata im Stammbaum der Metazoa eine große Rolle spielen und adressiert werden müssen.
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Der Tauchtourismus übernimmt innerhalb des gesamten internationalen Tourismus in Ägypten eine wichtige Rolle. Besonders in Krisenzeiten sind es die Taucher, die aufgrund der einzigartigen Tauchgebiete weiterhin in das Land kommen und somit einen wesentlichen Beitrag zum Erhalt der Arbeitsplätze und der Infrastruktur beitragen. Doch der Konkurrenzkampf zwischen den Tauchbasen, das derzeit schlechte Image Ägyptens und die Attraktivität weltweiter Tauchdestinationen, zwingt die Betreiber von Tauchbasen dazu, sich einer wandelnden Gästestruktur und deren Reisegewohnheiten anzupassen. In der vorliegenden Untersuchung wird am Beispiel der Tauchbasenbetreiber in Ägypten untersucht, wie kulturelles Handeln eine Rolle bei der Bildung von Vertrauen zwischen einem Anbieter einer touristischen Dienstleistung und dem Kunden einnehmen kann. Als Ausgangspunkt dient dazu das Modell der „Transkulturalität als Praxis“ nach PÜTZ (2004), welches um den Aspekt der internationalen Kooperationsbeziehungen erweitert wird. Es besagt, dass im wirtschaftlichen Handeln zwischen den Akteuren das kulturelle Verständnis eine entscheidende Rolle bei der Bildung von Vertrauen einnimmt. Durch die Fähigkeit, einen kulturellen Blickwinkel in das alltägliche Handeln einzubeziehen, kann ein Unternehmer den Wettbewerbsvorsprung zu seinen Mitkonkurrenten ausbauen.rnrnIm Mittelpunkt des Forschungsinteresses stand dabei die Frage inwieweit die Basenbetreiber über die ihnen zur Verfügung stehenden Möglichkeiten kulturgebundenen Handelns Vertrauen zu den Tauchern generieren. Geschieht die Anwendung aus eigener Initiative heraus oder nur unter dem Konkurrenzdruck? Die Ergebnisse der Studie belegen, dass das Arbeiten im Umfeld kultureller Unterschiede den Blick der Basenbetreiber für die Notwendigkeit einer starken Vertrauensbeziehung zum Kunden von Anfang an geprägt hat. Das Handeln aller Interviewteilnehmer orientiert sich zuerst unbewusst an zahlreichen branchenüblichen Handlungsweisen und Symbolen, stößt aber ab einem bestimmten Punkt an seine Grenzen. Aufgrund von bewusstem kulturellen Handeln ist jedoch die Möglichkeit gegeben, diese Grenzen zu überwinden und individuelle und situationsspezifische Arten der Kundengewinnung in das Handeln einzubeziehen.
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Visualization of the vascular systems of organs or of small animals is important for an assessment of basic physiological conditions, especially in studies that involve genetically manipulated mice. For a detailed morphological analysis of the vascular tree, it is necessary to demonstrate the system in its entirety. In this study, we present a new lipophilic contrast agent, Angiofil, for performing postmortem microangiography by using microcomputed tomography. The new contrast agent was tested in 10 wild-type mice. Imaging of the vascular system revealed vessels down to the caliber of capillaries, and the digital three-dimensional data obtained from the scans allowed for virtual cutting, amplification, and scaling without destroying the sample. By use of computer software, parameters such as vessel length and caliber could be quantified and remapped by color coding onto the surface of the vascular system. The liquid Angiofil is easy to handle and highly radio-opaque. Because of its lipophilic abilities, it is retained intravascularly, hence it facilitates virtual vessel segmentation, and yields an enduring signal which is advantageous during repetitive investigations, or if samples need to be transported from the site of preparation to the place of actual analysis, respectively. These characteristics make Angiofil a promising novel contrast agent; when combined with microcomputed tomography, it has the potential to turn into a powerful method for rapid vascular phenotyping.
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We consider the problem of fitting a union of subspaces to a collection of data points drawn from one or more subspaces and corrupted by noise and/or gross errors. We pose this problem as a non-convex optimization problem, where the goal is to decompose the corrupted data matrix as the sum of a clean and self-expressive dictionary plus a matrix of noise and/or gross errors. By self-expressive we mean a dictionary whose atoms can be expressed as linear combinations of themselves with low-rank coefficients. In the case of noisy data, our key contribution is to show that this non-convex matrix decomposition problem can be solved in closed form from the SVD of the noisy data matrix. The solution involves a novel polynomial thresholding operator on the singular values of the data matrix, which requires minimal shrinkage. For one subspace, a particular case of our framework leads to classical PCA, which requires no shrinkage. For multiple subspaces, the low-rank coefficients obtained by our framework can be used to construct a data affinity matrix from which the clustering of the data according to the subspaces can be obtained by spectral clustering. In the case of data corrupted by gross errors, we solve the problem using an alternating minimization approach, which combines our polynomial thresholding operator with the more traditional shrinkage-thresholding operator. Experiments on motion segmentation and face clustering show that our framework performs on par with state-of-the-art techniques at a reduced computational cost.