Real-time 3D interactive segmentation of echocardiographic data through user-based deformation of B-spline explicit active surfaces

Image segmentation is an ubiquitous task in medical image analysis, which is required to estimate morphological or functional properties of given anatomical targets. While automatic processing is highly desirable, image segmentation remains to date a supervised process in daily clinical practice. Indeed, challenging data often requires user interaction to capture the required level of anatomical detail. To optimize the analysis of 3D images, the user should be able to efficiently interact with the result of any segmentation algorithm to correct any possible disagreement. Building on a previously developed real-time 3D segmentation algorithm, we propose in the present work an extension towards an interactive application where user information can be used online to steer the segmentation result. This enables a synergistic collaboration between the operator and the underlying segmentation algorithm, thus contributing to higher segmentation accuracy, while keeping total analysis time competitive. To this end, we formalize the user interaction paradigm using a geometrical approach, where the user input is mapped to a non-cartesian space while this information is used to drive the boundary towards the position provided by the user. Additionally, we propose a shape regularization term which improves the interaction with the segmented surface, thereby making the interactive segmentation process less cumbersome. The resulting algorithm offers competitive performance both in terms of segmentation accuracy, as well as in terms of total analysis time. This contributes to a more efficient use of the existing segmentation tools in daily clinical practice. Furthermore, it compares favorably to state-of-the-art interactive segmentation software based on a 3D livewire-based algorithm.

Improving FEM crash simulation accuracy through local thickness estimation based on CAD data

In this paper, we present a method for estimating local thickness distribution in nite element models, applied to injection molded and cast engineering parts. This method features considerable improved performance compared to two previously proposed approaches, and has been validated against thickness measured by di erent human operators. We also demonstrate that the use of this method for assigning a distribution of local thickness in FEM crash simulations results in a much more accurate prediction of the real part performance, thus increasing the bene ts of computer simulations in engineering design by enabling zero-prototyping and thus reducing product development costs. The simulation results have been compared to experimental tests, evidencing the advantage of the proposed method. Thus, the proposed approach to consider local thickness distribution in FEM crash simulations has high potential on the product development process of complex and highly demanding injection molded and casted parts and is currently being used by Ford Motor Company.

Towards a model for the measurement of data quality in websites

Websites are, nowadays, the face of institutions, but they are often neglected, especially when it comes to contents. In the present paper, we put forth an investigation work whose final goal is the development of a model for the measurement of data quality in institutional websites for health units. To that end, we have carried out a bibliographic review of the available approaches for the evaluation of website content quality, in order to identify the most recurrent dimensions and the attributes, and we are currently carrying out a Delphi Method process, presently in its second stage, with the purpose of reaching an adequate set of attributes for the measurement of content quality.

A model for the evaluation of data quality in health unit website

This article presents a research work, the goal of which was to achieve a model for the evaluation of data quality in institutional websites of health units in a broad and balanced way. We have carried out a literature review of the available approaches for the evaluation of website content quality, in order to identify the most recurrent dimensions and the attributes, and we have also carried out a Delphi method process with experts in order to reach an adequate set of attributes and their respective weights for the measurement of content quality. The results obtained revealed a high level of consensus among the experts who participated in the Delphi process. On the other hand, the different statistical analysis and techniques implemented are robust and attach confidence to our results and consequent model obtained.

Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation

The success of dental implant-supported prosthesis is directly linked to the accuracy obtained during implant’s pose estimation (position and orientation). Although traditional impression techniques and recent digital acquisition methods are acceptably accurate, a simultaneously fast, accurate and operator-independent methodology is still lacking. Hereto, an image-based framework is proposed to estimate the patient-specific implant’s pose using cone-beam computed tomography (CBCT) and prior knowledge of implanted model. The pose estimation is accomplished in a threestep approach: (1) a region-of-interest is extracted from the CBCT data using 2 operator-defined points at the implant’s main axis; (2) a simulated CBCT volume of the known implanted model is generated through Feldkamp-Davis-Kress reconstruction and coarsely aligned to the defined axis; and (3) a voxel-based rigid registration is performed to optimally align both patient and simulated CBCT data, extracting the implant’s pose from the optimal transformation. Three experiments were performed to evaluate the framework: (1) an in silico study using 48 implants distributed through 12 tridimensional synthetic mandibular models; (2) an in vitro study using an artificial mandible with 2 dental implants acquired with an i-CAT system; and (3) two clinical case studies. The results shown positional errors of 67±34μm and 108μm, and angular misfits of 0.15±0.08º and 1.4º, for experiment 1 and 2, respectively. Moreover, in experiment 3, visual assessment of clinical data results shown a coherent alignment of the reference implant. Overall, a novel image-based framework for implants’ pose estimation from CBCT data was proposed, showing accurate results in agreement with dental prosthesis modelling requirements.

Semi-automatic 3D Segmentation Of Costal Cartilage In CT Data From Pectus Excavatum Patients

One of the current frontiers in the clinical management of Pectus Excavatum (PE) patients is the prediction of the surgical outcome prior to the intervention. This can be done through computerized simulation of the Nuss procedure, which requires an anatomically correct representation of the costal cartilage. To this end, we take advantage of the costal cartilage tubular structure to detect it through multi-scale vesselness filtering. This information is then used in an interactive 2D initialization procedure which uses anatomical maximum intensity projections of 3D vesselness feature images to efficiently initialize the 3D segmentation process. We identify the cartilage tissue centerlines in these projected 2D images using a livewire approach. We finally refine the 3D cartilage surface through region-based sparse field level-sets. We have tested the proposed algorithm in 6 noncontrast CT datasets from PE patients. A good segmentation performance was found against reference manual contouring, with an average Dice coefficient of 0.75±0.04 and an average mean surface distance of 1.69±0.30mm. The proposed method requires roughly 1 minute for the interactive initialization step, which can positively contribute to an extended use of this tool in clinical practice, since current manual delineation of the costal cartilage can take up to an hour.

Gestão do conhecimento usando data mining: estudo de caso na Universidade Federal de Lavras

A gestão do conhecimento abrange toda a forma de gerar, armazenar, distribuir e utilizar o conhecimento, tornando necessária a utilização de tecnologias de informação para facilitar esse processo, devido ao grande aumento no volume de dados. A descoberta de conhecimento em banco de dados é uma metodologia que tenta solucionar esse problema e o data mining é uma técnica que faz parte dessa metodologia. Este artigo desenvolve, aplica e analisa uma ferramenta de data mining, para extrair conhecimento referente à produção científica das pessoas envolvidas com a pesquisa na Universidade Federal de Lavras. A metodologia utilizada envolveu a pesquisa bibliográfica, a pesquisa documental e o método do estudo de caso. As limitações encontradas na análise dos resultados indicam que ainda é preciso padronizar o modo do preenchimento dos currículos Lattes para refinar as análises e, com isso, estabelecer indicadores. A contribuição foi gerar um banco de dados estruturado, que faz parte de um processo maior de desenvolvimento de indicadores de ciência e tecnologia, para auxiliar na elaboração de novas políticas de gestão científica e tecnológica e aperfeiçoamento do sistema de ensino superior brasileiro.

Estresse e desordem temporomandibular (DTM) : incidência e relação em docentes de nível

RESUMO: O trabalho docente exige dedicação em sala de aula e fora dela, pois o professor vê-se na missão de educador, formador de opiniões e de futuros profissionais no mercado de trabalho. Uma das patologias que pode ocorrer devido ao estresse gerado pela docência é o desenvolvimento de Desordens Temporomandibulares, que acarretará cefaleias, dores musculares na região cervical e facial e alterações posturais. Tivemos a pretensão de conduzir nossas reflexões sobre o estresse do docente para procurar responder às nossas inquietações. Para isso, formulamos o seguinte questionamento: qual a incidência e a relação entre o estresse e o desenvolvimento de Desordens Temporomandibulares no docente de nível superior? O objetivo geral desta investigação foi descrever e analisar a relação entre o estresse e a incidência de Desordem Temporomandibular (DTM) em docentes de nível superior da cidade de Palmas – Tocantins – Brasil. Para contemplar o objetivo geral, buscamos verificar a presença ou não de estresse e os principais sintomas de estresse nos docentes de Ensino Superior, identificando a fase do estresse em que os professores se encontravam e verificar a presença ou não de DTM e seus graus. Procuramos, ainda, avaliar a relação entre sexo e presença de estresse, estado civil e presença de estresse, o tempo de docência e a presença de estresse e a relação entre a carga horária em sala de aula e a carga horária total de trabalho e a presença de estresse, entre sexo e presença de DTM, estado civil e presença de DTM, o tempo de docência e a presença de DTM e a relação entre a carga horária em sala de aula e carga horária total de trabalho e a presença de DTM. A metodologia utilizada, para a realização deste trabalho, foi de caráter exploratório e descritivo com uma abordagem quantitativa dos dados obtidos. A pesquisa caracterizou-se num estudo de campo, fundamentada em um instrumento denominado “Inventário de Sintomas de Stress Lipp – ISSL” da autora Marilda Lipp (2005), versão para adulto, ao qual acrescentamos dados sociodemográficos (estado civil, tempo de docência, carga horária de sala de aula e de trabalho total). Recorremos, ainda, ao Questionário Índice de Helkimo para identificar a ocorrência de DTMs. A coleta dos dados foi realizada a partir de uma amostra de duzentos e trinta e três (233) docentes de Ensino Superior, com idade entre 23 e 74 anos. Com base na análise realizada, os resultados revelaram que a presença de sintomas de estresse se encontra em 106 (45,49%) docentes, com predomínio da fase de resistência. Verificamos que 127 (54,5%) docentes não apresentam estresse. A sintomatologia predominante são sintomas psicológicos. Vimos que o tempo de docência e a jornada de trabalho não contribuem como um valor preditivo da presença de estresse, bem como o estado civil, e verificamos que o sexo feminino apresentou mais sintomas de estresse. Ao analisarmos a presença ou não de DTM, vimos que os docentes apresentam sintomas de DTM em sua maioria, encontrada em 187 docentes (80,25%), com predomínio do grau de DTM leve. Vimos que o tempo de docência e a jornada de trabalho não contribuem como um valor significativo para a presença de DTM, mas que o sexo feminino apresentou mais sintomas de DTM, bem como os casados. Buscando responder ao problema norteador desta 6 investigação, vimos que, mesmo nos docentes sem presença de estresse, havia sintomas de DTM. Esses dados indicam que a profissão docente pode causar sobrecargas e gerar a DTM. Diante dessa amostra de docentes pesquisados, concluímos que os dados aqui apresentados sugerem uma ampliação do estudo. Considerando a relevância do papel desempenhado pelos docentes das Instituições de Ensino Superior na formação dos acadêmicos e em sua efetiva transformação em futuros profissionais, nossa contribuição para o conhecimento do processo de estresse e os graus de DTM na atividade docente proporcionará oportunidade aos profissionais das diversas áreas do conhecimento e, principalmente, aos docentes para despertarem para a elaboração de programas de combate, controle e prevenção do estresse e do desenvolvimento de DTMs, resultando, dessa forma, na conquista de uma vida mais saudável, tanto na área física quanto na área psicológica. ABSTRACT: Abstract The teacher’s job requires dedication in and out of the classroom for a teacher is in a education mission, he/she is an opinion maker and responsible for future professionals in the market. One of the pathologies that may take place due to the stress caused by this job is the Temporomandibular Joint Disorder (TMD) that will trigger cephaleas, muscle pain in the cervical and facial area and posture changes. The purpose of this paper is to conduct reflections about teachers’ stress trying to answer the following question: What is the incidence rate and correlation between stress and the occurrence of Temporomandibular Joint Disorder (DTM) in teachers of institutions of higher learning in the city of Palmas – Tocantis – Brazil. To fulfill the general purpose we tried to verify the presence or not of stress and the principal symptoms in teachers in universities and colleges, identifying the levels of stress that they were, and verifying the presence or not of TMD and its levels. We tried to evaluate the correlation between gender and the occurrence of stress, marital status and the presence of stress, career time and the presence of stress, and time working in classroom and the total time of work and the presence of stress. The methodology used to perform this was an exploratory and descriptive study with a quantitative approach of the data gathered. The research was characterized by a field study, fundamented by a tool called “Lipp Stress Symptom Inventory – ISSL” from the author Marilda Lipp (2005), adult version, which we also added social-demographic data (marital status, time teaching, hours working in the classroom, and total time of work). We also used the Helkimo Index Questionnaire to identify the occurrence of TMD’s. The data was collected from a sample of two hundred three (233) teachers of universities and colleges between 23 to 74 years of age. Based on the analysis performed, the results showed the presence of stress among 106 (45.49%) of the teachers, with the predominance of the resistance level. We observed that some 127 teachers (54.5%) did not show stress. The predominant symptomology were psychological ones. We observed that time of experience and the schedule do not influence as a predictive value for the stress presence, neither does the marital status and we also observed that the female gender showed more stress symptoms. When we analyzed the presence or not of TMD, we observed that most of the teachers showed symptoms of TMD, some 187 teachers (80.25%), with the predominance of first level TMD. We observed that the time as teacher and the schedule do not influence with an important value for the TMD presence, however the feminine gender as well as married teachers showed more symptoms of TMD. Trying to answer the most important issue of this study, we saw that even without the occurrence of stress the TMD was present showing that the profession can cause overwork and consequently TMD. With this sample of teachers studied we conclude that the found data suggest a wider research. Considering the role performed by teachers of universities and colleges in the development of students and future professionals, our contribution for the understanding of the stress development and TMD levels in the teaching activity will enable the opportunity for professionals of different areas of knowledge, and 8 principally for teachers, to awaken to the need to develop programs to fight, control, and prevent stress and the development of TMD, therefore resulting in a healthier life, both a physical as well as a psychological one.

The relationships between selected anthropometric and socio-economic data in schoolchildren from different social strata in Rio de Janeiro, Brazil

The nutritional status according to anthropometric data was assessed in 756 schoolchildren from 5 low-income state schools and in one private school in the same part of Rio de Janeiro, Brazil. The prevalence of stunting and wasting (cut-off point: <90% ht/age and <80% wt/ht) ranged in the public schools from 6.2 to 15.2% and 3.3 to 24.0%, respectively, whereas the figures for the private school were 2.3 and 3.5%, respectively. Much more obesity was found in the private school (18.0%) than in the state schools (0.8 - 6.2%). Nutritional problems seem to develop more severely in accordance with the increasing age of the children. Therefore it appears advisable to assess schoolchildren within the context of a nutritional surveillance system.

On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression

Lossless compression algorithms of the Lempel-Ziv (LZ) family are widely used nowadays. Regarding time and memory requirements, LZ encoding is much more demanding than decoding. In order to speed up the encoding process, efficient data structures, like suffix trees, have been used. In this paper, we explore the use of suffix arrays to hold the dictionary of the LZ encoder, and propose an algorithm to search over it. We show that the resulting encoder attains roughly the same compression ratios as those based on suffix trees. However, the amount of memory required by the suffix array is fixed, and much lower than the variable amount of memory used by encoders based on suffix trees (which depends on the text to encode). We conclude that suffix arrays, when compared to suffix trees in terms of the trade-off among time, memory, and compression ratio, may be preferable in scenarios (e.g., embedded systems) where memory is at a premium and high speed is not critical.

Automatic assignment of absolute configuration from 1D NMR data

Opposite enantiomers exhibit different NMR properties in the presence of an external common chiral element, and a chiral molecule exhibits different NMR properties in the presence of external enantiomeric chiral elements. Automatic prediction of such differences, and comparison with experimental values, leads to the assignment of the absolute configuration. Here two cases are reported, one using a dataset of 80 chiral secondary alcohols esterified with (R)-MTPA and the corresponding 1H NMR chemical shifts and the other with 94 13C NMR chemical shifts of chiral secondary alcohols in two enantiomeric chiral solvents. For the first application, counterpropagation neural networks were trained to predict the sign of the difference between chemical shifts of opposite stereoisomers. The neural networks were trained to process the chirality code of the alcohol as the input, and to give the NMR property as the output. In the second application, similar neural networks were employed, but the property to predict was the difference of chemical shifts in the two enantiomeric solvents. For independent test sets of 20 objects, 100% correct predictions were obtained in both applications concerning the sign of the chemical shifts differences. Additionally, with the second dataset, the difference of chemical shifts in the two enantiomeric solvents was quantitatively predicted, yielding r2 0.936 for the test set between the predicted and experimental values.

Lightning Data Observed With Lightning Location System in Portugal

This paper presents an investigation into cloud-to-ground lightning activity over the continental territory of Portugal with data collected by the national Lightning Location System. The Lightning Location System in Portugal is first presented. Analyses about geographical, seasonal, and polarity distribution of cloud-to-ground lightning activity and cumulative probability of peak current are carried out. An overall ground flash density map is constructed from the database, which contains the information of more than five years and almost four million records. This map is compared with the thunderstorm days map, produced by the Portuguese Institute of Meteorology, and with the orographic map of Portugal. Finally, conclusions are duly drawn.

Study of the Saldanha Massif (MAR, 36 degrees 34 ' N): Constrains from rock magnetic and geophysical data

We present a study of the magnetic properties of a group of basalt samples from the Saldanha Massif (Mid-Atlantic Ridge - MAR - 36degrees 33' 54" N, 33degrees 26' W), and we set out to interpret these properties in the tectono-magmatic framework of this sector of the MAR. Most samples have low magnetic anisotropy and magnetic minerals of single domain grain size, typical of rapid cooling. The thermomagnetic study mostly shows two different susceptibility peaks. The high temperature peak is related to mineralogical alteration due to heating. The low temperature peak shows a distinction between three different stages of low temperature oxidation: the presence of titanomagnetite, titanomagnetite and titanomaghemite, and exclusively of titanomaghemite. Based on established empirical relationships between Curie temperature and degree of oxidation, the latter is tentatively deduced for all samples. Finally, swath bathymetry and sidescan sonar data combined with dive observations show that the Saldanha Massif is located over an exposed section of upper mantle rocks interpreted to be the result of detachment tectonics. Basalt samples inside the detachment zone often have higher than expected oxidation rates; this effect can be explained by the higher permeability caused by the detachment fault activity.

The source of the 1722 Algarve earthquake: evidence from MCS and tsunami data

The 27 December 1722 Algarve earthquake destroyed a large area in southern Portugal generating a local tsunami that inundated the shallow areas of Tavira. It is unclear whether its source was located onshore or offshore and, in any case, what was the tectonic source responsible for the event. We analyze available historical information concerning macroseismicity and the tsunami to discuss the most probable location of the source. We also review available seismotectonic knowledge of the offshore region close to the probable epicenter, selecting a set of four candidate sources. We simulate tsunamis produced by these candidate sources assuming that the sea bottom displacement is caused by a compressive dislocation over a rectangular fault, as given by the half-space homogeneous elastic approach, and we use numerical modeling to study wave propagation and run-up. We conclude that the 27 December 1722 Tavira earthquake and tsunami was probably generated offshore, close to 37 degrees 01'N, 7 degrees 49'W.

Extreme Value Theory versus traditional GARCH approaches applied to financial data: a comparative evaluation

Although stock prices fluctuate, the variations are relatively small and are frequently assumed to be normal distributed on a large time scale. But sometimes these fluctuations can become determinant, especially when unforeseen large drops in asset prices are observed that could result in huge losses or even in market crashes. The evidence shows that these events happen far more often than would be expected under the generalized assumption of normal distributed financial returns. Thus it is crucial to properly model the distribution tails so as to be able to predict the frequency and magnitude of extreme stock price returns. In this paper we follow the approach suggested by McNeil and Frey (2000) and combine the GARCH-type models with the Extreme Value Theory (EVT) to estimate the tails of three financial index returns DJI,FTSE 100 and NIKKEI 225 representing three important financial areas in the world. Our results indicate that EVT-based conditional quantile estimates are much more accurate than those from conventional AR-GARCH models assuming normal or Student’s t-distribution innovations when doing out-of-sample estimation (within the insample estimation, this is so for the right tail of the distribution of returns).