Registration of Sub-Sequence and Multi-Camera Reconstructions for Camera Motion Estimation

This paper presents different application scenarios for which the registration of sub-sequence reconstructions or multi-camera reconstructions is essential for successful camera motion estimation and 3D reconstruction from video. The registration is achieved by merging unconnected feature point tracks between the reconstructions. One application is drift removal for sequential camera motion estimation of long sequences. The state-of-the-art in drift removal is to apply a RANSAC approach to find unconnected feature point tracks. In this paper an alternative spectral algorithm for pairwise matching of unconnected feature point tracks is used. It is then shown that the algorithms can be combined and applied to novel scenarios where independent camera motion estimations must be registered into a common global coordinate system. In the first scenario multiple moving cameras, which capture the same scene simultaneously, are registered. A second new scenario occurs in situations where the tracking of feature points during sequential camera motion estimation fails completely, e.g., due to large occluding objects in the foreground, and the unconnected tracks of the independent reconstructions must be merged. In the third scenario image sequences of the same scene, which are captured under different illuminations, are registered. Several experiments with challenging real video sequences demonstrate that the presented techniques work in practice.

Algorithms For Automatic And Robust Registration Of 3D Head Scans

wo methods for registering laser-scans of human heads and transforming them to a new semantically consistent topology defined by a user-provided template mesh are described. Both algorithms are stated within the Iterative Closest Point framework. The first method is based on finding landmark correspondences by iteratively registering the vicinity of a landmark with a re-weighted error function. Thin-plate spline interpolation is then used to deform the template mesh and finally the scan is resampled in the topology of the deformed template. The second algorithm employs a morphable shape model, which can be computed from a database of laser-scans using the first algorithm. It directly optimizes pose and shape of the morphable model. The use of the algorithm with PCA mixture models, where the shape is split up into regions each described by an individual subspace, is addressed. Mixture models require either blending or regularization strategies, both of which are described in detail. For both algorithms, strategies for filling in missing geometry for incomplete laser-scans are described. While an interpolation-based approach can be used to fill in small or smooth regions, the model-driven algorithm is capable of fitting a plausible complete head mesh to arbitrarily small geometry, which is known as "shape completion". The importance of regularization in the case of extreme shape completion is shown.

Role of the Central Nervous System in the Regulation of Pregnancy, Parturition and Lactation in Beef Heifers

Progesterone secretion is crucial for maintaining pregnancy to parturition in mammalian species, and in cattle the corpus luteum is the primary source of this hormone. This study determined the roles of prolactin (PRL), growth hormone (GH) and luteinizing hormone (LH) in the luteotropic process in beef heifers hypophyseal stalk-transected (HST, n = 7) or sham operated on (SOC, n = 9) during midgestation. The main finding was that endogenous PRL and GH maintained progesterone secretion in HST heifers similar to that in SOC throughout pregnancy. Serum PRL averaged 37 vs 187 and GH 2 vs 4 ng/ml in HST compared with SOC, whereas LH abruptly decreased to undetectable levels after HST compared with a modest 0A4 ng/ml in SOC heifers. The second finding was that parturition and lactation occurred in HST heifers with calf delivery induced to occur at the same time as SOC. Milk production in HST animals was severely limited, and postpartum estrus obliterated compared with SOC. The suckling stimulus sustained milk ejection in HST heifers in spite of diminished PRL and GH secretion. The results suggest that PRL, GH and possibly placental lactogen are luteotropic during pregnancy in cattle.

Role of the Central Nervous System in the Regulation of Pregnancy, Parturition and Lactation in Beef Heifers

Progesterone secretion is crucial for maintaining pregnancy to parturition in mammalian species, and in cattle the corpus luteum is the primary source of this hormone. This study determined the roles of prolactin (PRL), growth hormone (GH) and luteinizing hormone (LH) in the luteotropic process in beef heifers hypophyseal stalk-transected (HST, n = 7) or sham operated on (SOC, n = 9) during midgestation. The main finding was that endogenous PRL and GH maintained progesterone secretion in HST heifers similar to that in SOC throughout pregnancy. Serum PRL averaged 37 vs. 187 and GH 2 vs. 4 ng/ml in HST compared with SOC, whereas LH abruptly decreased to undetectable levels after HST compared with a modest 0.4 ng/ml in SOC heifers. The second finding was that parturition and lactation occurred in HST heifers with calf delivery induced to occur at the same time as SOC. Milk production in HST animals was severely limited and postpartum estrus obliterated compared with SOC. The suckling stimulus sustained milk ejection in HST heifers in spite of diminished PRL and GH secretion. The results suggest that PRL, GH, and possibly placental lactogen are luteotropic during pregnancy in cattle.

The potential association between gingival crevicular fluid inflammatory mediators and adverse pregnancy outcomes: a systematic review

OBJECTIVES The association between periodontal disease and adverse pregnancy outcomes (APO), primarily preterm birth (PTB), is still controversially discussed in the literature. Therefore, the aim of the present systematic review was to analyze the existing literature on the potential association between inflammatory mediators detected in gingival crevicular fluid (GCF) and APO. MATERIALS AND METHODS MEDLINE (PubMed) and EMBASE databases were searched for entries up to April 2012 and studies were selected by two independent reviewers. RESULTS The majority of the eight studies included confirmed a positive association between GCF mediators, such as interleukin-1β, prostaglandin E2, and tumor necrosis factor-alpha, and APO. Due to the heterogeneity and variability of the available studies, no meta-analysis could be performed. CONCLUSIONS A positive association between GCF inflammatory mediator levels and APO/PTB might be present but the results need to be considered with great caution because of the heterogeneity and variability among the studies. Further studies with an adequate number of patients allowing for an appropriate analysis are warranted to definitely confirm this association. CLINICAL RELEVANCE The present findings suggest that an association between GCF inflammatory mediator levels and APO might exist.

Gingival fluid cytokine expression and subgingival bacterial counts during pregnancy and postpartum: a case series

OBJECTIVES The aim of this study was to assess gingival fluid (GCF) cytokine messenger RNA (mRNA) levels, subgingival bacteria, and clinical periodontal conditions during a normal pregnancy to postpartum. MATERIALS AND METHODS Subgingival bacterial samples were analyzed with the checkerboard DNA-DNA hybridization method. GCF samples were assessed with real-time PCR including five proinflammatory cytokines and secretory leukocyte protease inhibitor. RESULTS Nineteen pregnant women with a mean age of 32 years (S.D. ± 4 years, range 26-42) participated in the study. Full-mouth bleeding scores (BOP) decreased from an average of 41.2% (S.D. ± 18.6%) at the 12th week of pregnancy to 26.6% (S.D. ± 14.4%) at the 4-6 weeks postpartum (p < 0.001). Between week 12 and 4-6 weeks postpartum, the mean probing pocket depth changed from 2.4 mm (S.D. ± 0.4) to 2.3 mm (S.D. ± 0.3) (p = 0.34). Higher counts of Eubacterium saburreum, Parvimonas micra, Selenomonas noxia, and Staphylococcus aureus were found at week 12 of pregnancy than at the 4-6 weeks postpartum examinations (p < 0.001). During and after pregnancy, statistically significant correlations between BOP scores and bacterial counts were observed. BOP scores and GCF levels of selected cytokines were not related to each other and no differences in GCF levels of the cytokines were observed between samples from the 12th week of pregnancy to 4-6 weeks postpartum. Decreasing postpartum counts of Porphyromonas endodontalis and Pseudomonas aeruginosa were associated with decreasing levels of Il-8 and Il-1β. CONCLUSIONS BOP decreased after pregnancy without any active periodontal therapy. Associations between bacterial counts and cytokine levels varied greatly in pregnant women with gingivitis and a normal pregnancy outcome. Postpartum associations between GCF cytokines and bacterial counts were more consistent. CLINICAL RELEVANCE Combined assessments of gingival fluid cytokines and subgingival bacteria may provide important information on host response.

Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research

BACKGROUND During the past 25 years, many pregnancy and birth cohorts have been established. Each cohort provides unique opportunities for examining associations of early-life exposures with child development and health. However, to fully exploit the large amount of available resources and to facilitate cross-cohort collaboration, it is necessary to have accessible information on each cohort and its individual characteristics. The aim of this work was to provide an overview of European pregnancy and birth cohorts registered in a freely accessible database located at http://www.birthcohorts.net. METHODS European pregnancy and birth cohorts initiated in 1980 or later with at least 300 mother-child pairs enrolled during pregnancy or at birth, and with postnatal data, were eligible for inclusion. Eligible cohorts were invited to provide information on the data and biological samples collected, as well as the timing of data collection. RESULTS In total, 70 cohorts were identified. Of these, 56 fulfilled the inclusion criteria encompassing a total of more than 500,000 live-born European children. The cohorts represented 19 countries with the majority of cohorts located in Northern and Western Europe. Some cohorts were general with multiple aims, whilst others focused on specific health or exposure-related research questions. CONCLUSION This work demonstrates a great potential for cross-cohort collaboration addressing important aspects of child health. The web site, http://www.birthcohorts.net, proved to be a useful tool for accessing information on European pregnancy and birth cohorts and their characteristics.

1.59 Reduced inflammatory potential of circulating gammadelta T cells in pregnancy induced improvement of Rheumatoid Arthritis

BACKGROUND AND OBJECTIVES During pregnancy, gammadelta T cells expand at the fetomaternal interface where they induce a tolerogenic milieu. Patients with rheumatoid arthritis (RA) experience a spontaneous improvement of their disease during pregnancy and a postpartum aggravation. By contrast, pregnant patients with ankylosing spondylitis (AS) often experience persistent active disease. We hypothesised that the pregnancy related modulation of disease activity in RA patients versus AS patients is associated with numerical and functional changes of circulating gammadelta T cells. MATERIAL AND METHODS The frequency of surface markers and the intracellular cytokine profile of freshly isolated gammadelta T cells from RA (n = 54) and AS (n = 26) patients and healthy controls (n = 40) were analysed at each trimester during pregnancy and 6-8 weeks postpartum by flow cytometry. RESULTS Very discrete changes of Vdelta1 or Vdelta2 frequency were seen during pregnancy and postpartum in healthy controls and AS patients. In RA, however, the frequency of Vdelta2 cells decreased in the third trimester when disease activity was low. Low percentages of Vdelta 2 cells were also found in non-pregnant RA patients with active arthritis, yet only pregnant RA patients showed reduced percentages of Vdelta2 cells positive for the activation marker CD69 and the intracellular cytokine TNFalpha. Similarly, Vdelta1 + TNFalpha + cells were lower in pregnant RA patients compared to non-pregnant RA patients. The percentage of Vdelta2 + TNFalpha + cells, Vdelta2+ CD69+ and Vdelta1+ CD69+ cells correlated with disease activity in RA. As for the receptors which modulate cytotoxicity, RA patients showed a rise of the anti-cytotoxic receptor NKG2A on Vdelta1 cells in the 2(nd) trimester and a decrease postpartum. Since the pro-cytotoxic receptor NKG2D remained unchanged, the NKG2D/NKG2A ratio on Vdelta1 cells was reduced in RA patients during pregnancy. In AS patients, persistent disease activity during pregnancy was reflected by an increased frequency of Vdelta2+ CD69+ cells and an unchanged frequency of Vdelta2+ TNFalpha+ cells. In addition, pregnant AS patients showed an increased frequency of Vdelta1+CD161+ cells. CONCLUSIONS Disease amelioration of RA during pregnancy correlates with changes of cell activation, pro-inflammatory cytokines and anti-cytotoxic receptors of gammadelta T cells. By contrast, active disease during pregnancy as found in AS is associated with unchanged inflammatory responses of gammadelta T cells. Since gammadelta T cells remain unchanged in healthy pregnant controls, the modulation of gammadelta T cells in RA rather seems to be an effect of improved disease than of pregnancy itself.

Maternal cholestasis during pregnancy programs metabolic disease in offspring

The intrauterine environment is a major contributor to increased rates of metabolic disease in adults. Intrahepatic cholestasis of pregnancy (ICP) is a liver disease of pregnancy that affects 0.5%-2% of pregnant women and is characterized by increased bile acid levels in the maternal serum. The influence of ICP on the metabolic health of offspring is unknown. We analyzed the Northern Finland birth cohort 1985-1986 database and found that 16-year-old children of mothers with ICP had altered lipid profiles. Males had increased BMI, and females exhibited increased waist and hip girth compared with the offspring of uncomplicated pregnancies. We further investigated the effect of maternal cholestasis on the metabolism of adult offspring in the mouse. Females from cholestatic mothers developed a severe obese, diabetic phenotype with hepatosteatosis following a Western diet, whereas matched mice not exposed to cholestasis in utero did not. Female littermates were susceptible to metabolic disease before dietary challenge. Human and mouse studies showed an accumulation of lipids in the fetoplacental unit and increased transplacental cholesterol transport in cholestatic pregnancy. We believe this is the first report showing that cholestatic pregnancy in the absence of altered maternal BMI or diabetes can program metabolic disease in the offspring.

Hierarchical segmentation-assisted multimodal registration for MR brain images

Information theory-based metric such as mutual information (MI) is widely used as similarity measurement for multimodal registration. Nevertheless, this metric may lead to matching ambiguity for non-rigid registration. Moreover, maximization of MI alone does not necessarily produce an optimal solution. In this paper, we propose a segmentation-assisted similarity metric based on point-wise mutual information (PMI). This similarity metric, termed SPMI, enhances the registration accuracy by considering tissue classification probabilities as prior information, which is generated from an expectation maximization (EM) algorithm. Diffeomorphic demons is then adopted as the registration model and is optimized in a hierarchical framework (H-SPMI) based on different levels of anatomical structure as prior knowledge. The proposed method is evaluated using Brainweb synthetic data and clinical fMRI images. Both qualitative and quantitative assessment were performed as well as a sensitivity analysis to the segmentation error. Compared to the pure intensity-based approaches which only maximize mutual information, we show that the proposed algorithm provides significantly better accuracy on both synthetic and clinical data.

Expectation Conditional Maximization-Based Deformable Shape Registration

This paper addresses the issue of matching statistical and non-rigid shapes, and introduces an Expectation Conditional Maximization-based deformable shape registration (ECM-DSR) algorithm. Similar to previous works, we cast the statistical and non-rigid shape registration problem into a missing data framework and handle the unknown correspondences with Gaussian Mixture Models (GMM). The registration problem is then solved by fitting the GMM centroids to the data. But unlike previous works where equal isotropic covariances are used, our new algorithm uses heteroscedastic covariances whose values are iteratively estimated from the data. A previously introduced virtual observation concept is adopted here to simplify the estimation of the registration parameters. Based on this concept, we derive closed-form solutions to estimate parameters for statistical or non-rigid shape registrations in each iteration. Our experiments conducted on synthesized and real data demonstrate that the ECM-DSR algorithm has various advantages over existing algorithms.

IMPROVING QUANTITATIVE TREATMENT RESPONSE MONITORING WITH DEFORMABLE IMAGE REGISTRATION

Quantitative imaging with 18F-FDG PET/CT has the potential to provide an in vivo assessment of response to radiotherapy (RT). However, comparing tissue tracer uptake in longitudinal studies is often confounded by variations in patient setup and potential treatment induced gross anatomic changes. These variations make true response monitoring for the same anatomic volume a challenge, not only for tumors, but also for normal organs-at-risk (OAR). The central hypothesis of this study is that more accurate image registration will lead to improved quantitation of tissue response to RT with 18F-FDG PET/CT. Employing an in-house developed “demons” based deformable image registration algorithm, pre-RT tumor and parotid gland volumes can be more accurately mapped to serial functional images. To test the hypothesis, specific aim 1 was designed to analyze whether deformably mapping tumor volumes rather than aligning to bony structures leads to superior tumor response assessment. We found that deformable mapping of the most metabolically avid regions improved response prediction (P<0.05). The positive predictive power for residual disease was 63% compared to 50% for contrast enhanced post-RT CT. Specific aim 2 was designed to use parotid gland standardized uptake value (SUV) as an objective imaging biomarker for salivary toxicity. We found that relative change in parotid gland SUV correlated strongly with salivary toxicity as defined by the RTOG/EORTC late effects analytic scale (Spearman’s ρ = -0.96, P<0.01). Finally, the goal of specific aim 3 was to create a phenomenological dose-SUV response model for the human parotid glands. Utilizing only baseline metabolic function and the planned dose distribution, predicting parotid SUV change or salivary toxicity, based upon specific aim 2, became possible. We found that the predicted and observed parotid SUV relative changes were significantly correlated (Spearman’s ρ = 0.94, P<0.01). The application of deformable image registration to quantitative treatment response monitoring with 18F-FDG PET/CT could have a profound impact on patient management. Accurate and early identification of residual disease may allow for more timely intervention, while the ability to quantify and predict toxicity of normal OAR might permit individualized refinement of radiation treatment plan designs.

Everything is Bigger in Texas, Including the Latino Adolescent Pregnancy Rate: How Do We Eliminate the Epidemic of Latino Teen Pregnancy?

A commentary on Tortolero et al.'s article entitled, "Latino Teen Pregnancy in Texas: Prevalence, Prevention, and Policy."

Latino Teen Pregnancy in Texas: Prevalence, Prevention, and Policy

Texas is home to over one million Latino teens who are at risk for negative reproductive health outcomes, such as teen pregnancy and STIs. Teen pregnancy disproportionately impacts the health of Latino teens in Texas and places them at risk of continued high rates of poverty, school dropout, and unemployment unless Texas makes a concerted effort to reduce its teen pregnancy rate. The birth rate among Latina girls is astonishing: 98 per 1000 Latinas (aged 15-19) are giving birth. This translates to over 32,000 births each year among Latina teens, costing almost $98 million in direct medical expenditures and well over $638 million if other costs are included. Most teens become sexually experienced while they are of school age, which translates to an estimated 414,583 sexually experienced Latino students attending Texas public schools. Of these Latino youth, 237,466 report being currently sexually active, and 89,000 report having had four or more sexual partners in their lifetime. While causes of teen pregnancy are complex, the solutions to teen pregnancy are known. Texas needs an effective, comprehensive approach to address the sexual health needs of Texas Latino youth that includes: statewide implementation and monitoring of evidence-based sex education for middle school and high school students, access to reproductive health services for students who are already sexually experienced, and widespread training on adolescent sexual health for teachers, service providers, and parents. By tackling teen pregnancy, we can positively impact the future and well-being of not only Latinos, but of all Texans, and subsequently can contribute to the social and economic success of Texas.