Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction

State-of-the-art methods for large-scale 3D reconstruction from RGB-D sensors usually reduce drift in camera tracking by globally optimizing the estimated camera poses in real-time without simultaneously updating the reconstructed surface on pose changes. We propose an efficient on-the-fly surface correction method for globally consistent dense 3D reconstruction of large-scale scenes. Our approach uses a dense Visual RGB-D SLAM system that estimates the camera motion in real-time on a CPU and refines it in a global pose graph optimization. Consecutive RGB-D frames are locally fused into keyframes, which are incorporated into a sparse voxel hashed Signed Distance Field (SDF) on the GPU. On pose graph updates, the SDF volume is corrected on-the-fly using a novel keyframe re-integration strategy with reduced GPU-host streaming. We demonstrate in an extensive quantitative evaluation that our method is up to 93% more runtime efficient compared to the state-of-the-art and requires significantly less memory, with only negligible loss of surface quality. Overall, our system requires only a single GPU and allows for real-time surface correction of large environments.Comment: British Machine Vision Conference (BMVC), London, September 201

Table_1_Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples.DOCX

ObjectiveA latent disease explanation cannot exclusively explain post-concussion symptoms after mild traumatic brain injury (mTBI). Network analysis offers an alternative form of explanation for relationships between symptoms. The study aimed to apply network analysis to post-concussion symptoms in two different mTBI cohorts; an acute treatment-seeking sample and a sample 10 years post-mTBI.MethodThe treatment-seeking sample (n = 258) were on average 6 weeks post-injury; the 10 year post mTBI sample (n = 193) was derived from a population-based incidence and outcomes study (BIONIC). Network analysis was completed on post-concussion symptoms measured using the Rivermead Post-Concussion Questionnaire.ResultsIn the treatment-seeking sample, frustration, blurred vision, and concentration difficulties were central to the network. These symptoms remained central in the 10 year post mTBI sample. A Network Comparison Test revealed evidence of a difference in network structure across the two samples (p = 0.045). However, the only symptoms that showed significant differences in strength centrality across samples were irritability and restlessness.ConclusionThe current findings suggest that frustration, blurred vision and concentration difficulties may have an influential role in the experience and maintenance of post-concussion symptoms. The impact of these symptoms may remain stable over time. Targeting and prioritising the management of these symptoms may be beneficial for mTBI rehabilitation.</p

Patterns of post-traumatic stress symptoms in mild traumatic brain injury and their relationship with outcomes: a latent profile analysis

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Participant flow diagram.

<p>Participant flow diagram.</p

Participant characteristics of the mild-TBI and controls samples.

<p>Participant characteristics of the mild-TBI and controls samples.</p

Mean scores on the outcome measures between the two samples.

<p>Mean scores on the outcome measures between the two samples.</p

Estimated numbers of YLLs in the EU-28 based on extrapolation of pooled crude YLL rates.

<p>Estimated numbers of YLLs in the EU-28 based on extrapolation of pooled crude YLL rates.</p

Years of life lost due to traumatic brain injury in Europe: A cross-sectional analysis of 16 countries

<div><p>Introduction</p><p>Traumatic brain injuries (TBIs) are a major public health, medical, and societal challenge globally. They present a substantial burden to victims, their families, and the society as a whole. Although indicators such as incidence or death rates provide insight into the occurrence and outcome of TBIs in various populations, they fail to quantify the full extent of their public health and societal impact. Measures such as years of life lost (YLLs), which quantifies the number of years of life lost because the person dies prematurely due to a disease or injury, should be employed to better quantify the population impact. The aim of this study was to provide an in-depth analysis of the burden of deaths due to TBI by calculating TBI-specific YLLs in 16 European countries, analyzing their main causes and demographic patterns, using data extracted from death certificates under unified guidelines and collected in a standardized manner.</p><p>Methods and findings</p><p>A population-wide, cross-sectional epidemiological study was conducted in 16 European countries to estimate TBI YLLs for the year 2013. The data used for all analyses in this study were acquired from the statistical office of the European Union (Eurostat). A specifically tailored dataset of micro-level data was provided that listed the external cause of death (International Classification of Diseases–10th Revision [ICD-10] codes V01–Y98), the specific nature of injury (ICD-10 codes S00–T98), the age at death, and sex for each death. Overall number of TBI YLLs, crude and age-standardized TBI YLL rates, and TBI YLLs per case were calculated stratified for country, sex, and age. Pooled analyses were performed in order to estimate summary age-standardized rates of TBI YLLs. In order to evaluate the relative importance of TBI in the context of all injuries, proportions of TBI YLLs out of overall injury YLLs were calculated. The total number of TBI YLLs was estimated by extrapolating the pooled crude rate of TBI YLLs in the 16 analyzed countries to the total population of the 28 member states of the EU (EU-28). We found that a total of 17,049 TBI deaths occurred in 2013 in the 16 analyzed countries. These translated into a total of 374,636 YLLs. The pooled age-standardized rate of YLLs per 100,000 people per year was 259.1 (95% CI: 205.8 to 312.3) overall, 427.5 (95% CI: 290.0 to 564.9) in males, and 105.4 (95% CI: 89.1 to 121.6) in females. Males contributed substantially more to TBI YLLs than females (282,870 YLLs, 76% of all TBI YLLs), which translated into a rate ratio of 3.24 (95% CI: 3.22 to 3.27). Each TBI death was on average associated with 24.3 (95% CI: 22.0 to 26.6) YLLs overall, 25.6 (95% CI: 23.4 to 27.8) in males and 20.9 (17.9 to 24.0) in females. Falls and traffic crashes were the most common external causes of TBI YLLs. TBI contributed on average 41% (44% in males and 34% in females) to overall injury YLLs. Extrapolating our findings, about 1.3 million YLLs were attributable to TBI in the EU-28 in 2013 overall, 1.1 million in males and 271,000 in females. This study is based on administratively collected data from 16 countries, and despite the efforts to harmonize them to the greatest possible extent, there may be differences in coding practices or reporting between countries. If present, these would be inherited into our findings without our ability to control for them. The extrapolation of the pooled rates from the 16 countries to the EU-28 should be interpreted with caution.</p><p>Conclusions</p><p>Our study showed that TBI-related deaths and YLLs have a substantial impact at the individual and population level in Europe and present an important societal and economic burden that must not be overlooked. We provide information valuable for policy-makers, enabling them to evaluate and plan preventive activities and resource allocation, and to formulate and implement strategic decisions. In addition, our results can serve as a basis for analyzing the overall burden of TBI in the population.</p></div

Numbers of TBI YLLs in 16 European countries in 2013 by age, sex, and country.

<p>Numbers of TBI YLLs in 16 European countries in 2013 by age, sex, and country.</p

Burden of TBI YLLs per death in 16 European countries in 2013 by age and sex.

<p>Burden of TBI YLLs per death in 16 European countries in 2013 by age and sex.</p