Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI

We propose a motion and contrast enhancement separation model in dynamic magnetic resonance imaging (MRI). Furthermore, the reconstruction is done from partial measurements to achieve faster dynamic MR imaging. The algorithm minimizes a linear combination of three terms, a data fitting functional and two regularization functionals corresponding to the nuclear and ℓ1 norm. The proposed method is tested on simulated and real dynamic datasets. This paper suggests an image reconstruction model that directly induces clinically-relevant informations from partial measurements

The fission yeast non-coding transcriptome

Long non-coding RNAs (lncRNAs) are emerging as important regulators of gene expression, although it remains unclear to what extent they contribute overall to the information flow from genotype to phenotype. Using strand-specific RNAsequencing, I identify thousands of novel unstable, or cryptic, lncRNAs in Schizosaccharomyces pombe. The nuclear exosome, the RNAi pathway and the cytoplasmic exonuclease Exo2 represent three key pathways regulating lncRNAs in S. pombe, defining the overlapping classes of CUTs, RUTs and XUTs, respectively. The nuclear exosome and the RNAi pathway act cooperatively to control nuclear lncRNA expression, while the cytoplasmic Exo2 pathway is more distinct. Impairing both the nuclear exosome and the cytoplasmic exonuclease Exo2 is lethal in S. pombe. Importantly, I show that CUTs, RUTs and XUTs are stabilised under physiologically relevant growth conditions, with three key groups emerging: late meiotic RUTs/XUTs, early meiotic CUTs and quiescent CUTs. Late meiotic RUTs/XUTs tend to be antisense to protein-coding genes, and anti-correlate in expression with their sense loci. In contrast, early meiotic and quiescent CUTs tend to be transcribed divergently from protein-coding genes and positively correlate in expression with their mRNA partners. The current study provides an in-depth survey of the lncRNA repertoire of S. pombe, and the pathways that regulate their expression. It seems likely that any regulatory functions mediated by most of these lncRNAs are in cis, nuclear and cotranscriptional. The current study provides a rich and comprehensive resource for future studies of lncRNA function

Forage Preferences of the European Beaver Castor fiber

By the beginning of the twentieth century, hunting and land use change had reduced the European beaver Castor fiber to a relict population of no more than 1200 individuals. In some European states, re introduction has successfully established viable populations, whilst other schemes have failed. Environmental, social and economic issues associated with beaver reintroduction have given rise to a range of information needs in relation to the species«SQ» ecology. In 2005, six European beavers were translocated from Bavaria to a reintroduction site in southern England. The following year, a 6 month study was undertaken to investigate which tree species and size classes were most frequently utilised by the beavers, and to determine if the utilised species and size classes reflected resource availability within the home range. These questions were answered by comparing the use and the availability of foraged tree species in two ways: (1) using a survey of tree stumps; and (2) as a food choice experiment. The results showed that the reintroduced beavers were highly selective in relation to both the species and the size of the trees they used i.e. the reintroduced beavers selected species in significantly different proportions to their availability. However, they selected similar size classes between the preferred tree species, and did not utilise human timber. The relevance of the study is discussed with respect to information needs associated with the reintroduction of a keystone species, overcoming negative perceptions, population viability, welfare and soft release strategies

Uniform acquisition modelling across PET imaging systems: unified scatter modelling

RIN factor of all samples used for Illumina sequencing. (PDF 225 kb

Uniform acquisition modelling across PET imaging systems: Unified scatter modelling

© 2016 IEEE. PET imaging is an important tool commonly used for studying disease by research consortia which implement multi-centre studies to improve the statistical power of findings. The UK government launched the Dementias Platform UK to facilitate one of the world's largest dementia population study involving national centres equipped with state-of-the-art PET/MR scanners from two major vendors. However, the difference in PET detector technology between the two scanners involved makes the standardisation of data acquisition and image reconstruction necessary. We propose a new approach to PET acquisition system modelling across different PET systems and technologies, focusing in particular on unified scatter estimation across TOF (time-of-flight) and non-TOF PET systems. The proposed scatter modelling is fully 3D and voxel based, as opposed to the popular line-of-response driven methods. This means that for each emitting voxel an independent 3D scatter estimate is found, inherently preserving the necessary information for TOF calculations as well as accounting for the large axial field of view. With adequate sampling of the input images, the non-TOF scatter estimate is identical to the summed TOF estimates across TOF bins, without an additional computational cost used for the TOF estimation. The model is implemented using the latest NVIDA GPU CUDA platform, allowing finer sampling of image space which is more essential for accurate TOF modelling. The high accuracy of the proposed scatter model is validated using Monte Carlo simulations. The model is deployed in our stand-alone image reconstruction pipeline for the Biograph mMR scanner, demonstrating accurate 3D scatter estimates resulting in uniform reconstruction for a high statistics phantom scan

The Impact of Climate Change on Fertility

Rising global temperatures are threatening biodiversity. Studies on the impact of temperature on natural populations usually use lethal or viability thresholds, termed the ‘critical thermal limit’ (CTL). However, this overlooks important sublethal impacts of temperature that could affect species’ persistence. Here we discuss a critical but overlooked trait: fertility, which can deteriorate at temperatures less severe than an organism’s lethal limit. We argue that studies examining the ecological and evolutionary impacts of climate change should consider the ‘thermal fertility limit’ (TFL) of species; we propose that a framework for the design of TFL studies across taxa be developed. Given the importance of fertility for population persistence, understanding how climate change affects TFLs is vital for the assessment of future biodiversity impacts

Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution

MR image acquisition of moving organs remains challenging despite the advances in ultra-fast 2D MRI sequences. Post-acquisition techniques have been proposed to increase spatial resolution a posteriori by combining acquired orthogonal stacks into a single, high-resolution (HR) volume. Current super-resolution techniques classically rely on a two-step procedure. The volumetric reconstruction step leverages a physical slice acquisition model. However, the motion correction step typically neglects the point spread function (PSF) information. In this paper, we propose a PSF-aware slice-to-volume registration approach and, for the first time, demonstrate the potential benefit of Super-Resolution for upper abdominal imaging. Our novel reconstruction pipeline takes advantage of different MR acquisitions clinically used in routine MR cholangiopancreatography studies to guide the registration. On evaluation of clinically relevant image information, our approach outperforms state-of-the-art reconstruction toolkits in terms of visual clarity and preservation of raw data information. Overall, we achieve promising results towards replacing currently required CT scans

Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR

Email Print Request Permissions In PET imaging, attenuation and scatter corrections are an essential requirement to accurately quantify the radionuclide uptake. In the context of PET/MR scanners, obtaining the attenuation information can be challenging. Various authors have quantified the effect of an imprecise attenuation map on the reconstructed PET image but its influence on scatter correction has usually been ignored. In this paper, we investigate the effects of imperfect attenuation maps (μmaps) on the scatter correction in a simulation setting. We focused our study on three μmaps: the reference μmap derived from a CT image, and two MR-based methods. Two scatter estimation strategies were implemented: a μmap-specific scatter estimation and an ideal scatter estimation relying only on the reference CT μmap. The scatter estimation used the Single Scatter Simulation algorithm with tail-fitting. The results show that, for FDG brain PET, regardless of the μmap used in the reconstruction, the difference on PET images between μmap-specific and ideal scatter estimations is small (less than 1%). More importantly, the relative error between attenuation correction methods does not change depending on the scatter estimation method included in the simulation and reconstruction process. This means that the effect of errors in the μmap on the PET image is dominated by the attenuation correction, while the scatter estimate is relatively unaffected. Therefore, while scatter correction improves reconstruction accuracy, it is unnecessary to include scatter in the simulation when comparing different attenuation correction methods for brain PET/MR