This thesis that implemented Monte Carlo path tracing and voxel cone tracing for global illumination on GPU compared the performance and visual result. The Monte Carlo path tracing algorithm is implemented in CUDA to do parallel computing on GPU and accelerate the computing speed. The voxel cone tracing, a global illumination algorithm for real-time computing, runs on OpenGL through the GPU graphics pipeline. The results show that the Monte Carlo Path Tracing on CPU single core takes over 10 hours, around 4 hours with 4 cores, on GPU it takes around 48 minutes, while the voxel cone tracing on the same GPU takes 2 ms. The quality of the image generated by the Monte Carlo path tracing contains much more transparent, reflection, and shadow details than that using the voxel cone tracing algorithm. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

The development of a computer vision algorithm for use with 3D voxel space radar imagery is observed in this thesis. The goal is to detect explosive hazards present in 3D synthetic aperture radar (SAR) image data. The algorithm consists of three primary stages; a precreener to find areas of interest, clustering for labeling distinct areas, and a classifier. The performance between multiple prescreener methods are compared when using a heuristic classifier. Finally, a convolutional neural network (CNN) is used as a classifier stage and a comparison between a deep network, a shallow network, and human experts is conducted.

Attention deficit hyperactivity disorder is one of the most common neurodevelopmental disorders, affecting around 7% of the worldwide population in their everyday life. It has been suggested that individuals with ADHD differ in gray matter volume from typically developing controls. However, findings on in which brain areas these differences are located, as well as how gray matter volume is affected by stimulant medication, remain inconclusive. Therefore, this systematic review aimed to investigate any potential differences in gray matter volume in medication-naïve individuals with ADHD compared to controls, focusing on studies using voxel-based morphometry applied to MRI-imaging data A keyword search in the databases Web of Science, Scopus and Medline EBSCO resulted in 349 studies, of which seven met the inclusion criteria and were included in the review. The results included a total of 169 participants diagnosed with ADHD and 148 typically developing controls. Findings suggested decreased cerebellar gray matter volume, potential gender-wise volume differences in the anterior cingulate cortex, and a decrease in caudate gray matter volume, specifically in adults with ADHD. Some limitations include small sample sizes, possible effects of age on gray matter volume, and the overall heterogeneous nature of the disorder. The present review agrees that individuals with ADHD exhibit differences in gray matter volume, but also highlights the importance of expanding research on medication-naïve subjects, to be able to draw more robust scientific conclusions about the neural correlates of ADHD in the future.

This thesis takes its place in a context where information on the biophysical state of forest ecosystems at spatial scales only remote sensing can retrieve is in demand more than ever. In order to provide reliable information using validated approaches, the remote sensing research community recognises the need for new and innovative methods, especially in heterogeneous environments like savannas. The recent emergence of terrestrial LiDAR scanners (TLS) and the increase in the computational capability of computers which allow running ray tracing model simulations with a high level of realism hold great potential to improve our understanding of the processes influencing the radiance measured by satellite sensors. This thesis makes use of these two cutting edge technologies for estimating the spatial distribution of tree leaf area, a key element of modeling radiative transfer processes. The first part of the thesis concerns the development of methods for estimating tridimensional leaf area distribution in a savanna environment from TLS measurements. The methods presented address certain issues related to TLs measures affecting the application of classical theories (the probability of light transmission and the contact frequency) to the estimation of leaf area through indirect means. These issues pertain to the cross-section of laser pulses emitted by a TLS and the occlusion effects caused by the interception of laser pulses by material inside the crown. The developed methods also exploit additional information provided by the active nature of the TLS sensor that is not available to passive sensors like hemispherical photography, i.e. the intensity of a pulse return offers the possibility to distinguish between energy interception by wood and foliage. A simplified approach of this method is presented to promote its use by other research groups. This approach consists of a series of parameterisations and represents a significant gain in terms of the required resources to produce the leaf area, estimates. The second part of the thesis explores the combination of the tree representations generated in the first part with a ray tracing model to simulate the interactions of light with tree crowns. This approach is highly innovative and our study showed its potential to improve our understanding of the factors influencing the radiative environment in a savanna. The methods presented offer a solution to map leaf area at the individual tree scale over large areas from very high spatial resolution imagery.

Temporomandibular disorders (TMD) are a family of prevalent chronic pain disorders affecting masticatory muscles and/or the temporomandibular joint. There is no unequivocally recognized peripheral aetiology for idiopathic TMD. The central nervous system (CNS) may initiate and/or maintain the pain in idiopathic TMD due to sustained or long-term nociceptive input that induces maladaptive brain plasticity, and/or to inherent personality-related factors that may reduce the brain's capacity to modulate nociceptive activity. The main aim of this thesis is to determine whether there are structural neural abnormalities in patients with TMD, and whether these abnormalities are related to TMD pain characteristics, or to neuroticism. The specific aims are to delineate in TMD: (1) gray matter (GM) brain abnormalities and the contribution of pain and neuroticism to abnormalities; (2) the contribution of abnormal brain GM aging in focal cortical regions associated with nociceptive processes; and (3) abnormalities in brain white matter and trigeminal nerve and the contribution of pain. In groups of 17 female patients with TMD and 17 age- and sex- matched controls, magnetic resonance imaging revealed that patients with TMD had: (1) thicker cortex in the somatosensory, ventrolateral prefrontal and frontal polar cortices than controls, (2) cortical thickness in motor and cognitive areas that was negatively related to pain intensity, orbitofrontal cortical thickness that was negatively correlated to pain unpleasantness, and thalamic GM volume correlated to TMD duration, (3) an abnormal relationship between neuroticism and orbitofrontal cortical thickness, (4) abnormal GM aging in nociceptive, modulatory and motor areas, (5) widespread abnormalities in white matter tracts in the brain related to sensory, motor and cognitive functions, (6) reduced trigeminal nerve integrity related to pain duration, and (7) abnormal connectivity in cognitive and modulatory brain regions. In sum, this thesis demonstrates for the first time abnormalities in both peripheral nerve and CNS in patients with TMD.

Temporomandibular disorders (TMD) are a family of prevalent chronic pain disorders affecting masticatory muscles and/or the temporomandibular joint. There is no unequivocally recognized peripheral aetiology for idiopathic TMD. The central nervous system (CNS) may initiate and/or maintain the pain in idiopathic TMD due to sustained or long-term nociceptive input that induces maladaptive brain plasticity, and/or to inherent personality-related factors that may reduce the brain's capacity to modulate nociceptive activity. The main aim of this thesis is to determine whether there are structural neural abnormalities in patients with TMD, and whether these abnormalities are related to TMD pain characteristics, or to neuroticism. The specific aims are to delineate in TMD: (1) gray matter (GM) brain abnormalities and the contribution of pain and neuroticism to abnormalities; (2) the contribution of abnormal brain GM aging in focal cortical regions associated with nociceptive processes; and (3) abnormalities in brain white matter and trigeminal nerve and the contribution of pain. In groups of 17 female patients with TMD and 17 age- and sex- matched controls, magnetic resonance imaging revealed that patients with TMD had: (1) thicker cortex in the somatosensory, ventrolateral prefrontal and frontal polar cortices than controls, (2) cortical thickness in motor and cognitive areas that was negatively related to pain intensity, orbitofrontal cortical thickness that was negatively correlated to pain unpleasantness, and thalamic GM volume correlated to TMD duration, (3) an abnormal relationship between neuroticism and orbitofrontal cortical thickness, (4) abnormal GM aging in nociceptive, modulatory and motor areas, (5) widespread abnormalities in white matter tracts in the brain related to sensory, motor and cognitive functions, (6) reduced trigeminal nerve integrity related to pain duration, and (7) abnormal connectivity in cognitive and modulatory brain regions. In sum, this thesis demonstrates for the first time abnormalities in both peripheral nerve and CNS in patients with TMD.

This dissertation is comprised of four studies investigating the hypothesis that adults and children who stutter differ from their same-age fluent peers in the neuroanatomy and neurophysiology underlying auditory speech processing. It has been consistently reported that adults who stutter demonstrate unique functional neural activation patterns during speech production, including reduced auditory activation, relative to nonstutterers. The extent to which these functional differences are accompanied by abnormal morphology of the brain in stutterers is unclear. The first study in this dissertation examined the neuroanatomical differences in speech-related cortex between adults who do and do not stutter using magnetic resonance imaging and voxel-based morphometry analyses. Adults who stutter were found to have localized grey matter volume increases in auditory and motor speech related cortex. The second study extended this line of research to children who stutter, who were found to have localized grey matter volume decreases in motor speech related cortex. Together, these studies suggest an abnormal trajectory of regional grey matter development in motor speech cortex of people who stutter. The last two studies investigated the mechanism underlying the repeated findings of reduced auditory activation during speech in people who stutter in more detail. Magnetoencephalography was used to investigate the hypothesis that people who stutter have increased speech induced suppression of early evoked auditory responses. Adults and children who stutter demonstrated typical levels of speech induced suppression relative to fluent peers. However, adults and children who stutter showed differences from peers in the timing of cortical auditory responses. Taken together, the studies demonstrate structural and functional abnormalities in brain regions related to auditory processing and point to the possibility that people who stutter have difficulty forming the neural representations of speech sounds necessary for fluent speech production.

Submitted by PPG Letras (letraspg@pucrs.br) on 2018-04-26T17:05:23Z No. of bitstreams: 1 Tese_Sabrine Cristine Hubner.pdf: 2098756 bytes, checksum: 9b73c0fb004e2143274124c300170dee (MD5) / Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-05-09T12:48:28Z (GMT) No. of bitstreams: 1 Tese_Sabrine Cristine Hubner.pdf: 2098756 bytes, checksum: 9b73c0fb004e2143274124c300170dee (MD5) / Made available in DSpace on 2018-05-09T13:29:27Z (GMT). No. of bitstreams: 1 Tese_Sabrine Cristine Hubner.pdf: 2098756 bytes, checksum: 9b73c0fb004e2143274124c300170dee (MD5) Previous issue date: 2018-03-28 / Conselho Nacional de Pesquisa e Desenvolvimento Cient?fico e Tecnol?gico - CNPq / Written and oral text comprehension abilities are indispensable for human experiences. Strokes causing left hemisphere (LH) damage may impact comprehension and textual production. However, little is known about this influence at the textual/discursive level, including the comparison between oral and written modalities in this kind of lesion. This research aimed at investigating text comprehension in two modalities of presentation (read and heard) by left brain damaged individuals (LBD) and healthy controls, comparing their performance in the micro- and macro-structural levels of text comprehension to neuropsychological data and to density of the brain areas involved. In order to do that, we performed two researches, Study 1, with 18 LBD and 10 controls, and Study 2, with 10 LBD and 10 controls, with matched age and education. In both studies, neuropsychological tests assessed working memory, verbal fluency and naming abilities. Comprehension of macro- and microstructural levels was verified by means of six short narratives, presented in oral or written modality. The participants were asked to retell the stories and answer to five interpretation questions. In Study 2, the same method was used, but it included structural magnetic resonance imaging indicating the density of brain regions by voxel-based morphometry (VBM). The results of Study 1 indicated significant differences in narrative comprehension between LBD and controls. The lower performance observed at the macrostructural level of LBD compared to the micro- suggest individuals who had a stroke may face difficulties in the application of macrorules of deletion, construction and generalization, which underlie overall comprehension of a text. The data from Study 2, with a lower number of participants, indicated a tendency to confirm results found in Study 1, with statistical significant differences in benefit of controls at the macrostructural level of oral narratives. We found significant differences between groups regarding the modality of text presentation. In both Study 1 and Study 2, differences were observed between the groups in auditory word span and in naming, with an advantage to controls. The morphometry data of brain regions, related to the participants of Study 2, indicated an integration of areas from left and right hemispheres to process text comprehension in oral and written modalities. In the left hemisphere, precuneus, cerebellum white matter, superior frontal region and medial orbitofrontal region and from the right hemisphere, accumbens and superior temporal sulcus were observed. The right superior temporal sulcus, left precuneus, left cerebellar white matter and superior frontal region are positively correlated among the participants, presenting better performance as the density increases. The left medial orbitofrontal region shows a negative correlation with comprehension. The right accumbens seems to compensate LH demands, showing increased density in the LBD and reduced volume in the controls. The present study intends to contribute to deepen our understanding of the comprehension of texts presented in the oral compared to written modality in the LH lesion, related to neuropsychological and brain data. / Compreender um texto, seja ele ouvido ou lido, ? indispens?vel para as experi?ncias humanas. Acidentes vasculares cerebrais (AVCs) ocorridos em especial no hemisf?rio esquerdo (HE) podem impactar na compreens?o e na produ??o textual. No entanto, pouco ainda se sabe sobre essa influ?ncia no n?vel textual/discursivo, incluindo, por exemplo, a compara??o entre a modalidade oral e escrita na compreens?o textual/discursiva nesse tipo de les?o. Esta pesquisa teve por objetivo investigar a compreens?o de narrativas em duas modalidades de apresenta??o (lidas e ouvidas) por indiv?duos com les?o no hemisf?rio esquerdo (LHE) e controles saud?veis, comparando-se seu desempenho nos n?veis micro- e macroestruturais da compreens?o de narrativas a dados neuropsicol?gicos e ? densidade das ?reas cerebrais implicadas. Para tal, realizamos dois estudos, o Estudo 1, com 18 LHE e 10 controles, e o Estudo 2, que contemplou exames de neuroimagem, com 10 LHE e 10 controles (os mesmos do Estudo 1), com idade e escolaridade equiparadas. Em ambos os estudos, testes neuropsicol?gicos avaliaram a mem?ria de trabalho, a flu?ncia verbal e a nomea??o. A compreens?o dos n?veis macro- e microestrutural foi verificada por meio de seis narrativas curtas, divididas na modalidade oral ou escrita. Os participantes realizavam um reconto e respondiam a cinco perguntas de interpreta??o. No Estudo 2 empregou-se o mesmo m?todo, por?m com inclus?o de exame de resson?ncia magn?tica estrutural indicando a densidade das regi?es cerebrais pela morfometria baseada em voxels (VBM). Os resultados do Estudo 1 apontaram diferen?as significativas na compreens?o de narrativas entre LHE e controles. Os preju?zos observados no n?vel macroestrutural dos LHE em detrimento do micro- sugerem falhas na aplica??o das macrorregras de dele??o, constru??o e generaliza??o, subjacentes ? compreens?o global de um texto. Os dados do Estudo 2, com menor n?mero de participantes, indicaram uma tend?ncia a corroborar os resultados encontrados no Estudo 1, observando-se diferen?a significativa em benef?cio dos controles no n?vel macroestrutural das narrativas apresentadas oralmente. Foram encontradas diferen?as entre os grupos quanto ? modalidade de apresenta??o dos textos. Tanto no Estudo 1 quanto no Estudo 2 observou-se diferen?as no span auditivo de palavras e na nomea??o, com vantagem para os controles. Os dados da morfometria das regi?es cerebrais, atinentes aos participantes do segundo estudo, apontam uma integra??o de regi?es do hemisf?rio esquerdo e do direito. Do esquerdo, prec?neus, subst?ncia branca do cerebelo, regi?o frontal superior e regi?o orbitofrontal medial e do direito, accumbens e sulco temporal superior foram observadas. O sulco temporal superior direito, o prec?neus esquerdo, a subst?ncia branca cerebelar esquerda e a regi?o frontal superior correlacionam-se positivamente entre os participantes, apresentando desempenho superior ? medida que a densidade aumenta. A regi?o orbitofrontal medial esquerda apresenta correla??o negativa com a compreens?o. A regi?o do accumbens direito parece compensar as demandas do HE, apresentando sua densidade aumentada nos LHE e reduzida nos controles. O presente estudo pretende contribuir para aprofundarmos nossa compreens?o sobre a compreens?o de narrativas apresentadas na modalidade oral versus escrita na les?o de HE, relacionados a dados neuropsicol?gicos e cerebrais.

There has been considerable progress in the clinical, pathological and genetic fractionation of frontotemporal lobar degeneration syndromes in recent years, driving the development of novel diagnostic criteria. However, phenotypic boundaries are not always distinct and syndromes converge with disease progression, limiting the insights available from traditional diagnostic classification. Alternative transdiagnostic approaches may provide novel insights into the neurobiological underpinnings of symptom commonalities across the frontotemporal lobar degeneration spectrum. In this thesis, I illustrate the use of transdiagnostic methods to investigate apathy and impulsivity. These two multifaceted constructs are observed across all frontotemporal lobar degeneration syndromes, including frontotemporal dementia, progressive supranuclear palsy and corticobasal syndrome. They cause substantial patient morbidity and carer distress, often coexist and are undertreated. Using data from the Pick’s disease and Progressive supranuclear palsy Prevalence and INcidence (PiPPIN) Study, I examine the frequency, characteristics and components of apathy and impulsivity across the frontotemporal lobar degeneration spectrum. A principal component analysis of the neuropsychological data identified eight distinct components of apathy and impulsivity, separating patient ratings, carer ratings and behavioural tasks. Apathy and impulsivity measures were positively correlated, frequently loading onto the same components and providing evidence of their overlap. The data confirmed that apathy and impulsivity are common across the spectrum of frontotemporal lobar degeneration syndromes. Voxel based morphometry revealed distinct neural correlates for the components of apathy and impulsivity. Patient ratings correlated with white matter changes in the corticospinal tracts, which may reflect retained insight into their physical impairments. Carer ratings correlated with grey and white matter changes in frontostriatal, frontotemporal and brainstem systems, which have previously been implicated in motivation, arousal and goal directed behaviour. Response inhibition deficits on behavioural tasks correlated with focal frontal cortical atrophy in areas implicated in goal-directed behaviour and cognitive control. Diffusion tensor imaging was highly sensitive to the white matter changes underlying apathy and impulsivity in frontotemporal lobar degeneration syndromes. Diffusion tensor imaging findings were largely consistent with voxel-based morphometry, with carer ratings reflecting widespread changes while objective measures showed changes in focal, task-specific brain regions. White matter abnormalities often extended beyond observed grey matter changes, providing supportive evidence that white matter dysfunction represents a core pathophysiology in frontotemporal lobar degeneration. Apathy was a significant predictor of death within two and a half years from assessment, consistent with studies linking apathy to poor outcomes. The prognostic importance of apathy warrants more accurate measurement tools to facilitate clinical trials. Although causality remains unclear, the influence of apathy on survival suggests effective symptomatic treatments may also prove disease-modifying. These findings have several implications. First, clinical studies for apathy/impulsivity in frontotemporal lobar degeneration syndromes should target patients who present with these symptoms, irrespective of their diagnostic category. Second, data-driven approaches can inform the choice of assessment tools for clinical trials, and their link to neural drivers of apathy and impulsivity. Third, the components and their neural correlates provide a principled means to measure (and interpret) the effects of novel treatments in the context of frontotemporal lobar degeneration.

[pt] A reconstrução de cenas a partir de imagens tem recebido, recentemente, grande interesse por parte dos pesquisadores das áreas de visão computacional, computação gráfica e modelagem geométrica. Várias são as suas aplicações como, por exemplo, modelagem de objetos a partir de imagens, construção de ambientes virtuais e telepresença. Dentre os métodos que têm produzido bons resultados na reconstrução de cenas a partir de imagens, podemos destacar aqueles que se baseiam em algoritmos de Escultura do Espaço. Tais técnicas procuram determinar quais são os elementos, em uma representação volumétrica do espaço da cena, que satisfazem um conjunto de restrições fotométricas impostas por um conjunto de imagens. Uma vez determinados, tais elementos volumétricos são coloridos de modo que reproduzam as informações fotométricas nas imagens de entrada, com uma certa margem de tolerância especificada com base em critérios estatísticos. Neste trabalho, investigamos o emprego de técnicas utilizadas em visualização no desenvolvimento de métodos de escultura do espaço. Como resultado, propomos um método por refinamento adaptativo que trabalha sobre espaços de reconstrução representados através de subdivisões espaciais. Tal método é capaz de realizar o processo de reconstrução de modo mais eficiente, empregando esforços proporcionais às características locais da cena, que são descobertas à medida em que a reconstrução é realizada. Finalmente, avaliamos a qualidade e a eficiência do método proposto, com base em um conjunto de resultados obtidos através de um sistema de reconstrução de objetos que utiliza imagens capturadas por webcams. / [en] The reconstruction of scenes from imagens has received special attention from researchers of the areas of computer vision, computer graphics and geometric modeling. As examples of application we can mention image-based scene reconstruction, modeling of complex as-built objects, construction of virtual environments and telepresence. Among the most successful methods used for the reconstruction of scenes from images are those based on Space Carving algorithms. These techniques reconstruct the shape of the objects of interest in a scene by determining, in a volumetric representation of the scene space, those elements that satisfy a set of photometric constraints imposed by the input images. Once determined, each photo- consistent element is colorized according to the photometric information in the input images, in such a way that they reproduce the photometric information in the input images, within some pre-specificied error tolerance. In this work, we investigate the use of rendering techniques in space carving methods. As a result, we propose a method based on an adaptive refinement process which works on reconstruction spaces represented by spatial subdivisions. We claim that such method can reconstruct the objects of interest in a more efficient way, using resources proportional to the local characteristics of the scene, which are discovered as the reconstruction takes place. Finally, we evaluate the quality and the efficiency of the method based on the results obtained from a reconstruction device that works with images captured from webcams.