967 resultados para Eye Tracking, Image Compression, Importance Map, JPEG 2000, Region of Interest (ROI)


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Objective: To compare the agreement of multiplanar and rendering modes in the assessment fetal atrioventricular valves (mitral and tricuspid) areas by three-dimensional (3D) ultrasonography using the software spatio-temporal image correlation (STIC). Methods: We conducted a prospective cross-sectional study with normal pregnant women, with single fetuses, between 18-33 weeks. To measure the areas, we used the plan of four-chamber view. In the case of multiplanar, the plane was rotated on the axis "Z" form the heart to position at 9h. For rendering, the green line (region of interest - ROI) was placed from the atria of the heart perpendicular to the crux. The agreement was assessed by a Bland-Altman (limits of agreement) using the relative difference between the measures: ((rendering mode) - (multiplanar mode)) / (average). Results: 328 fetuses were evaluated. We have not identified the occurrence of systematic error between methods: the average relative difference was 1.62% (-2.07% to 5.32%, confidence interval 95%) in the mitral and 1.77% (- 1.08% to 4.62%) in the tricuspid valve. The limits of agreement between methods were -65.26% to 68.51% for the mitral and -49.91% to 53.45% for the tricuspid. Conclusions: There was no systematic error between modes and thus the observed values for the area of fetal atrioventricular valves can be used for comparisons needs to be corrected. However, relatively large variations may be observed when repeating the measurement area by different modes.

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Functional neuroimaging techniques enable investigations into the neural basis of human cognition, emotions, and behaviors. In practice, applications of functional magnetic resonance imaging (fMRI) have provided novel insights into the neuropathophysiology of major psychiatric,neurological, and substance abuse disorders, as well as into the neural responses to their treatments. Modern activation studies often compare localized task-induced changes in brain activity between experimental groups. One may also extend voxel-level analyses by simultaneously considering the ensemble of voxels constituting an anatomically defined region of interest (ROI) or by considering means or quantiles of the ROI. In this work we present a Bayesian extension of voxel-level analyses that offers several notable benefits. First, it combines whole-brain voxel-by-voxel modeling and ROI analyses within a unified framework. Secondly, an unstructured variance/covariance for regional mean parameters allows for the study of inter-regional functional connectivity, provided enough subjects are available to allow for accurate estimation. Finally, an exchangeable correlation structure within regions allows for the consideration of intra-regional functional connectivity. We perform estimation for our model using Markov Chain Monte Carlo (MCMC) techniques implemented via Gibbs sampling which, despite the high throughput nature of the data, can be executed quickly (less than 30 minutes). We apply our Bayesian hierarchical model to two novel fMRI data sets: one considering inhibitory control in cocaine-dependent men and the second considering verbal memory in subjects at high risk for Alzheimer’s disease. The unifying hierarchical model presented in this manuscript is shown to enhance the interpretation content of these data sets.

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Eye movement behaviour during visual exploration of 24 patients with probable Alzheimer's disease and 24 age-matched controls was compared in a clock reading task. Controls were found to focus exploration on distinct areas at the end of each clock hand. The sum of these two areas of highest fixation density was defined as the informative region of interest (ROI). In Alzheimer's disease patients, visual exploration was less focused, with fewer fixations inside the ROI, and the time until the first fixation was inside the ROI was significantly delayed. Changes of fixation distribution correlated significantly with the ability to read the clock correctly, but did not correlate with dementia severity. In Alzheimer's disease patients, fixations were longer and saccade amplitudes were smaller. The altered visual exploration in Alzheimer's disease might be related to parietal dysfunction or to an imbalance between a degraded occipito-parietal and relatively preserved occipito-temporal visual network.

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BACKGROUND Co-speech gestures are part of nonverbal communication during conversations. They either support the verbal message or provide the interlocutor with additional information. Furthermore, they prompt as nonverbal cues the cooperative process of turn taking. In the present study, we investigated the influence of co-speech gestures on the perception of dyadic dialogue in aphasic patients. In particular, we analysed the impact of co-speech gestures on gaze direction (towards speaker or listener) and fixation of body parts. We hypothesized that aphasic patients, who are restricted in verbal comprehension, adapt their visual exploration strategies. METHODS Sixteen aphasic patients and 23 healthy control subjects participated in the study. Visual exploration behaviour was measured by means of a contact-free infrared eye-tracker while subjects were watching videos depicting spontaneous dialogues between two individuals. Cumulative fixation duration and mean fixation duration were calculated for the factors co-speech gesture (present and absent), gaze direction (to the speaker or to the listener), and region of interest (ROI), including hands, face, and body. RESULTS Both aphasic patients and healthy controls mainly fixated the speaker's face. We found a significant co-speech gesture × ROI interaction, indicating that the presence of a co-speech gesture encouraged subjects to look at the speaker. Further, there was a significant gaze direction × ROI × group interaction revealing that aphasic patients showed reduced cumulative fixation duration on the speaker's face compared to healthy controls. CONCLUSION Co-speech gestures guide the observer's attention towards the speaker, the source of semantic input. It is discussed whether an underlying semantic processing deficit or a deficit to integrate audio-visual information may cause aphasic patients to explore less the speaker's face.

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Over 250 Mendelian traits and disorders, caused by rare alleles have been mapped in the canine genome. Although each disease is rare in the dog as a species, they are collectively common and have major impact on canine health. With SNP-based genotyping arrays, genome-wide association studies (GWAS) have proven to be a powerful method to map the genomic region of interest when 10-20 cases and 10-20 controls are available. However, to identify the genetic variant in associated regions, fine-mapping and targeted re-sequencing is required. Here we present a new approach using whole-genome sequencing (WGS) of a family trio without prior GWAS. As a proof-of-concept, we chose an autosomal recessive disease known as hereditary footpad hyperkeratosis (HFH) in Kromfohrl änder dogs. To our knowledge, this is the first time this family trio WGS-approach, has successfully been used to identify a genetic variant that perfectly segregates with a canine disorder. The sequencing of three Kromfohrl änder dogs from a family trio (an affected offspring and both its healthy parents) resulted in an average genome coverage of 9.2X per individual. After applying stringent filtering criteria for candidate causative coding variants, 527 single nucleotide variants (SNVs) and 15 indels were found to be homozygous in the affected offspring and heterozygous in the parents. Using the computer software packages ANNOVAR and SIFT to functionally annotate coding sequence differences and to predict their functional effect, resulted in seven candidate variants located in six different genes. Of these, only FAM83G:c155G>C (p.R52P) was found to be concordant in eight additional cases and 16 healthy Kromfohrl änder dogs.

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Background: Co-speech gestures are part of nonverbal communication during conversations. They either support the verbal message or provide the interlocutor with additional information. Furthermore, they prompt as nonverbal cues the cooperative process of turn taking. In the present study, we investigated the influence of co-speech gestures on the perception of dyadic dialogue in aphasic patients. In particular, we analysed the impact of co-speech gestures on gaze direction (towards speaker or listener) and fixation of body parts. We hypothesized that aphasic patients, who are restricted in verbal comprehension, adapt their visual exploration strategies. Methods: Sixteen aphasic patients and 23 healthy control subjects participated in the study. Visual exploration behaviour was measured by means of a contact-free infrared eye-tracker while subjects were watching videos depicting spontaneous dialogues between two individuals. Cumulative fixation duration and mean fixation duration were calculated for the factors co-speech gesture (present and absent), gaze direction (to the speaker or to the listener), and region of interest (ROI), including hands, face, and body. Results: Both aphasic patients and healthy controls mainly fixated the speaker’s face. We found a significant co-speech gesture x ROI interaction, indicating that the presence of a co-speech gesture encouraged subjects to look at the speaker. Further, there was a significant gaze direction x ROI x group interaction revealing that aphasic patients showed reduced cumulative fixation duration on the speaker’s face compared to healthy controls. Conclusion: Co-speech gestures guide the observer’s attention towards the speaker, the source of semantic input. It is discussed whether an underlying semantic processing deficit or a deficit to integrate audio-visual information may cause aphasic patients to explore less the speaker’s face. Keywords: Gestures, visual exploration, dialogue, aphasia, apraxia, eye movements

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Background DCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity. Results Pixel-wise model-based quantitative parameters are estimated by fitting DCE-MRI data to several pharmacokinetic models using the Levenberg-Marquardt algorithm (LMA). DCE@urLAB also includes the semi-quantitative parametric and heuristic analysis approaches commonly used in practice. This software application has been programmed in the Interactive Data Language (IDL) and tested both with publicly available simulated data and preclinical studies from tumor-bearing mouse brains. Conclusions A user-friendly solution for applying pharmacokinetic and non-quantitative analysis DCE-MRI in preclinical studies has been implemented and tested. The proposed tool has been specially designed for easy selection of multi-pixel ROIs. A public release of DCE@urLAB, together with the open source code and sample datasets, is available at http://www.die.upm.es/im/archives/DCEurLAB/ webcite.

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The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associated with the proposed model, using a graph-cut technique. We test different label fusion methods on publicly available MR images of human brains.

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Las personas que usan la silla de ruedas como su forma de movilidad prioritaria presentan una elevada incidencia (73%) de dolor de hombro debido al sobreuso y al movimiento repetitivo de la propulsión. Existen numerosos métodos de diagnóstico para la detección de las patologías del hombro, sin embargo la literatura reclama la necesidad de un test no invasivo y fiable, y sugiere la termografía como una técnica adecuada para evaluar el dolor articular. La termografía infrarroja (IRT) proporciona información acerca de los procesos fisiológicos a través del estudio de las distribuciones de la temperatura de la piel. Debido a la alta correlación entre ambos lados corporales, las asimetrías térmicas entre flancos contralaterales son una buena indicación de patologías o disfunciones físicas subyacentes. La fiabilidad de la IRT ha sido estudiada con anterioridad en sujetos sanos, pero nunca en usuarios de sillas de ruedas. Las características especiales de la población con discapacidad (problemas de sudoración y termorregulación, distribución sanguínea o medicación), hacen necesario estudiar los factores que afectan a la aplicación de la IRT en usuarios de sillas de ruedas. La bibliografía discrepa en cuanto a los beneficios o daños resultantes de la práctica de la actividad física en las lesiones de hombro por sobreuso en usuarios de sillas de ruedas. Recientes resultados apuntan a un aumento del riesgo de rotura del manguito rotador en personas con paraplejia que practican deportes con elevación del brazo por encima de la cabeza. Debido a esta falta de acuerdo en la literatura, surge la necesidad de analizar el perfil termográfico en usuarios de sillas de ruedas sedentarios y deportistas y su relación con el dolor de hombro. Hasta la fecha sólo se han publicado estudios termográficos durante el ejercicio en sujetos sanos. Un mayor entendimiento de la respuesta termográfica al ejercicio en silla de ruedas en relación al dolor de hombro clarificará su aparición y desarrollo y permitirá una apropiada intervención. El primer estudio demuestra que la fiabilidad de la IRT en usuarios de sillas de ruedas varía dependiendo de las zonas analizadas, y corrobora que la IRT es una técnica no invasiva, de no contacto, que permite medir la temperatura de la piel, y con la cual avanzar en la investigación en usuarios de sillas de ruedas. El segundo estudio proporciona un perfil de temperatura para usuarios de sillas de ruedas. Los sujetos no deportistas presentaron mayores asimetrías entre lados corporales que los sedentarios, y ambos obtuvieron superiores asimetrías que los sujetos sin discapacidad reportados en la literatura. Los no deportistas también presentaron resultados más elevados en el cuestionario de dolor de hombro. El área con mayores asimetrías térmicas fue hombro. En deportistas, algunas regiones de interés (ROIs) se relacionaron con el dolor de hombro. Estos resultados ayudan a entender el mapa térmico en usuarios de sillas de ruedas. El último estudio referente a la evaluación de la temperatura de la piel en usuarios de sillas de ruedas en ejercicio, reportó diferencias significativas entre la temperatura de la piel antes del test y 10 minutos después del test de propulsión de silla de ruedas, en 12 ROIs; y entre el post-test y 10 minutos después del test en la mayoría de las ROIs. Estas diferencias se vieron atenuadas cuando se compararon las asimetrías antes y después del test. La temperatura de la piel tendió a disminuir inmediatamente después completar el ejercicio, e incrementar significativamente 10 minutos después. El análisis de las asimetrías vs dolor de hombro reveló relaciones significativas negativas en 5 de las 26 ROIs. No se encontraron correlaciones significativas entre las variables de propulsión y el cuestionario de dolor de hombro. Todas las variables cinemáticas correlacionaron significativamente con las asimetrías en múltiples ROIs. Estos resultados indican que los deportistas en sillas de ruedas exhiben una capacidad similar de producir calor que los deportistas sin discapacidad; no obstante, su patrón térmico es más característico de ejercicios prolongados que de esfuerzos breves. Este trabajo contribuye al conocimiento de la termorregulación en usuarios de sillas de ruedas durante el ejercicio, y aporta información relevante para programas deportivos y de rehabilitación. ABSTRACT Individuals who use wheelchairs as their main means of mobility have a high incidence (73%) of shoulder pain (SP) owing to overuse and repetitive propulsion movement. There are numerous diagnostic methods for the detection of shoulder pathologies, however the literature claims that a noninvasive accurate test to properly assess shoulder pain would be necessary, and suggests thermography as a suitable technique for joint pain evaluation. Infrared thermography (IRT) provides information about physiological processes by studying the skin temperature (Tsk) distributions. Due to the high correlation of skin temperature between both sides of the body, thermal asymmetries between contralateral flanks are an indicator of underlying pathologies or physical dysfunctions. The reliability of infrared thermography has been studied in healthy subjects but there are no studies that have analyzed the reliability of IRT in wheelchair users (WCUs). The special characteristics of people with disabilities (sweating and thermoregulation problems, or blood distribution) make it necessary to study the factors affecting the application of IRT in WCUs. Discrepant reports exist on the benefits of, or damage resulting from, physical exercise and the relationship to shoulder overuse injuries in WCUs. Recent findings have found that overhead sports increase the risk of rotator cuff tears in wheelchair patients with paraplegia. Since there is no agreement in the literature, the thermographic profile of wheelchair athletes and nonathletes and its relation with shoulder pain should also be analysed. Infrared thermographic studies during exercise have been carried out only with able-bodied population at present. The understanding of the thermographic response to wheelchair exercise in relation to shoulder pain will offer an insight into the development of shoulder pain, which is necessary for appropriate interventions. The first study presented in this thesis demonstrates that the reliability of IRT in WCUs varies depending on the areas of the body that are analyzed. Moreover, it corroborates that IRT is a noninvasive and noncontact technique that allows the measurement of Tsk, which will allow for advances to be made in research concerned with WCUs. The second study provides a thermal profile of WCUs. Nonathletic subjects presented higher side-to-side skin temperature differences (ΔTsk) than athletes, and both had greater ΔTsk than the able-bodied results that have been published in the literature. Nonathletes also revealed larger Wheelchair Users Shoulder Pain Index (WUSPI) score than athletes. The shoulder region of interest (ROI) was the area with the highest ΔTsk of the regions measured. The analysis of the athletes’ Tsk showed that some ROIs are related to shoulder pain. These findings help to understand the thermal map in WCUs. Finally, the third study evaluated the thermal response of WCUs in exercise. There were significant differences in Tsk between the pre-test and the post-10 min in 12 ROIs, and between the post-test and the post-10 in most of the ROIs. These differences were attenuated when the ΔTsk was compared before and after exercise. Skin temperature tended to initially decrease immediately after the test, followed by a significant increase at 10 minutes after completing the exercise. The ΔTsk versus shoulder pain analysis yielded significant inverse relationships in 5 of the 26 ROIs. No significant correlations between propulsion variables and the results of the WUSPI questionnaire were found. All kinematic variables were significantly correlated with the temperature asymmetries in multiple ROIs. These results present indications that high performance wheelchair athletes exhibit similar capacity of heat production to able-bodied population; however, they presented a thermal pattern more characteristic of a prolonged exercise rather than brief exercise. This work contributes to improve the understanding about temperature changes in wheelchair athletes during exercise and provides implications to the sports and rehabilitation programs.

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A presença da Medicina Nuclear como modalidade de obtenção de imagens médicas é um dos principais procedimentos utilizados hoje nos centros de saúde, tendo como grande vantagem a capacidade de analisar o comportamento metabólico do paciente, traduzindo-se em diagnósticos precoces. Entretanto, sabe-se que a quantificação em Medicina Nuclear é dificultada por diversos fatores, entre os quais estão a correção de atenuação, espalhamento, algoritmos de reconstrução e modelos assumidos. Neste contexto, o principal objetivo deste projeto foi melhorar a acurácia e a precisão na análise de imagens de PET/CT via processos realísticos e bem controlados. Para esse fim, foi proposta a elaboração de uma estrutura modular, a qual está composta por um conjunto de passos consecutivamente interligados começando com a simulação de phantoms antropomórficos 3D para posteriormente gerar as projeções realísticas PET/CT usando a plataforma GATE (com simulação de Monte Carlo), em seguida é aplicada uma etapa de reconstrução de imagens 3D, na sequência as imagens são filtradas (por meio do filtro de Anscombe/Wiener para a redução de ruído Poisson caraterístico deste tipo de imagens) e, segmentadas (baseados na teoria Fuzzy Connectedness). Uma vez definida a região de interesse (ROI) foram produzidas as Curvas de Atividade de Entrada e Resultante requeridas no processo de análise da dinâmica de compartimentos com o qual foi obtida a quantificação do metabolismo do órgão ou estrutura de estudo. Finalmente, de uma maneira semelhante imagens PET/CT reais fornecidas pelo Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP) foram analisadas. Portanto, concluiu-se que a etapa de filtragem tridimensional usando o filtro Anscombe/Wiener foi relevante e de alto impacto no processo de quantificação metabólica e em outras etapas importantes do projeto em geral.

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The fluorescent proteins are an essential tool in many fields of biology, since they allow us to watch the development of structures and dynamic processes of cells in living tissue, with the aid of fluorescence microscopy. Optogenectics is another technique that is currently widely used in Neuroscience. In general, this technique allows to activate/deactivate neurons with the radiation of certain wavelengths on the cells that have ion channels sensitive to light, at the same time that can be used with fluorescent proteins. This dissertation has two main objectives. Initially, we study the interaction of light radiation and mice brain tissue to be applied in optogenetic experiments. In this step, we model absorption and scattering effects using mice brain tissue characteristics and Kubelka-Munk theory, for specific wavelengths, as a function of light penetration depth (distance) within the tissue. Furthermore, we model temperature variations using the finite element method to solve Pennes’ bioheat equation, with the aid of COMSOL Multiphysics Modeling Software 4.4, where we simulate protocols of light stimulation tipically used in optogenetics. Subsequently, we develop some computational algorithms to reduce the exposure of neuron cells to the light radiation necessary for the visualization of their emitted fluorescence. At this stage, we describe the image processing techniques developed to be used in fluorescence microscopy to reduce the exposure of the brain samples to continuous light, which is responsible for fluorochrome excitation. The developed techniques are able to track, in real time, a region of interest (ROI) and replace the fluorescence emitted by the cells by a virtual mask, as a result of the overlay of the tracked ROI and the fluorescence information previously stored, preserving cell location, independently of the time exposure to fluorescent light. In summary, this dissertation intends to investigate and describe the effects of light radiation in brain tissue, within the context of Optogenetics, in addition to providing a computational tool to be used in fluorescence microscopy experiments to reduce image bleaching and photodamage due to the intense exposure of fluorescent cells to light radiation.

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Dissertação de Mestrado para a obtenção de grau de Mestre em Engenharia Eletrotécnica Ramo de Automação e Eletrónica Industrial

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JPEG 2000 és un estàndard de compressió d'imatges que utilitza tècniques estat de l’art basades en la transformada wavelet. Els principals avantatges són la millor compressió, la possibilitat d’operar amb dades comprimides i que es pot comprimir amb i sense pèrdua amb el mateix mètode. BOI és la implementació de JPEG 2000 del Grup de Compressió Interactiva d’Imatges del departament d’Enginyeria de la Informació i les Comunicacions, pensada per entendre, criticar i millorar les tecnologies de JPEG 2000. La nova versió intenta arribar a tots els extrems de l’estàndard on la versió anterior no va arribar.

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Multispectral images contain information from several spectral wavelengths and currently multispectral images are widely used in remote sensing and they are becoming more common in the field of computer vision and in industrial applications. Typically, one multispectral image in remote sensing may occupy hundreds of megabytes of disk space and several this kind of images may be received from a single measurement. This study considers the compression of multispectral images. The lossy compression is based on the wavelet transform and we compare the suitability of different waveletfilters for the compression. A method for selecting a wavelet filter for the compression and reconstruction of multispectral images is developed. The performance of the multidimensional wavelet transform based compression is compared to other compression methods like PCA, ICA, SPIHT, and DCT/JPEG. The quality of the compression and reconstruction is measured by quantitative measures like signal-to-noise ratio. In addition, we have developed a qualitative measure, which combines the information from the spatial and spectral dimensions of a multispectral image and which also accounts for the visual quality of the bands from the multispectral images.

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LHE (logarithmical hopping encoding) is a computationally efficient image compression algorithm that exploits the Weber–Fechner law to encode the error between colour component predictions and the actual value of such components. More concretely, for each pixel, luminance and chrominance predictions are calculated as a function of the surrounding pixels and then the error between the predictions and the actual values are logarithmically quantised. The main advantage of LHE is that although it is capable of achieving a low-bit rate encoding with high quality results in terms of peak signal-to-noise ratio (PSNR) and image quality metrics with full-reference (FSIM) and non-reference (blind/referenceless image spatial quality evaluator), its time complexity is O( n) and its memory complexity is O(1). Furthermore, an enhanced version of the algorithm is proposed, where the output codes provided by the logarithmical quantiser are used in a pre-processing stage to estimate the perceptual relevance of the image blocks. This allows the algorithm to downsample the blocks with low perceptual relevance, thus improving the compression rate. The performance of LHE is especially remarkable when the bit per pixel rate is low, showing much better quality, in terms of PSNR and FSIM, than JPEG and slightly lower quality than JPEG-2000 but being more computationally efficient.