Practical signal-to-noise ratio quantification for sensitivity encoding: Application to coronary MR angiography.

Purpose: To develop and evaluate a practical method for the quantification of signal-to-noise ratio (SNR) on coronary MR angiograms (MRA) acquired with parallel imaging.Materials and Methods: To quantify the spatially varying noise due to parallel imaging reconstruction, a new method has been implemented incorporating image data acquisition followed by a fast noise scan during which radio-frequency pulses, cardiac triggering and navigator gating are disabled. The performance of this method was evaluated in a phantom study where SNR measurements were compared with those of a reference standard (multiple repetitions). Subsequently, SNR of myocardium and posterior skeletal muscle was determined on in vivo human coronary MRA.Results: In a phantom, the SNR measured using the proposed method deviated less than 10.1% from the reference method for small geometry factors (<= 2). In vivo, the noise scan for a 10 min coronary MRA acquisition was acquired in 30 s. Higher signal and lower SNR, due to spatially varying noise, were found in myocardium compared with posterior skeletal muscle.Conclusion: SNR quantification based on a fast noise scan is a validated and easy-to-use method when applied to three-dimensional coronary MRA obtained with parallel imaging as long as the geometry factor remains low.

Modèle et application pour la génération automatique de parcours d'apprentissage personnalisés à partir de sources de confiance

Résumé Lors d'une recherche d'information, l'apprenant est très souvent confronté à des problèmes de guidage et de personnalisation. Ceux-ci sont d'autant plus importants que la recherche se fait dans un environnement ouvert tel que le Web. En effet, dans ce cas, il n'y a actuellement pas de contrôle de pertinence sur les ressources proposées pas plus que sur l'adéquation réelle aux besoins spécifiques de l'apprenant. A travers l'étude de l'état de l'art, nous avons constaté l'absence d'un modèle de référence qui traite des problématiques liées (i) d'une part aux ressources d'apprentissage notamment à l'hétérogénéité de la structure et de la description et à la protection en terme de droits d'auteur et (ii) d'autre part à l'apprenant en tant qu'utilisateur notamment l'acquisition des éléments le caractérisant et la stratégie d'adaptation à lui offrir. Notre objectif est de proposer un système adaptatif à base de ressources d'apprentissage issues d'un environnement à ouverture contrôlée. Celui-ci permet de générer automatiquement sans l'intervention d'un expert pédagogue un parcours d'apprentissage personnalisé à partir de ressources rendues disponibles par le biais de sources de confiance. L'originalité de notre travail réside dans la proposition d'un modèle de référence dit de Lausanne qui est basé sur ce que nous considérons comme étant les meilleures pratiques des communautés : (i) du Web en terme de moyens d'ouverture, (ii) de l'hypermédia adaptatif en terme de stratégie d'adaptation et (iii) de l'apprentissage à distance en terme de manipulation des ressources d'apprentissage. Dans notre modèle, la génération des parcours personnalisés se fait sur la base (i) de ressources d'apprentissage indexées et dont le degré de granularité en favorise le partage et la réutilisation. Les sources de confiance utilisées en garantissent l'utilité et la qualité. (ii) de caractéristiques de l'utilisateur, compatibles avec les standards existants, permettant le passage de l'apprenant d'un environnement à un autre. (iii) d'une adaptation à la fois individuelle et sociale. Pour cela, le modèle de Lausanne propose : (i) d'utiliser ISO/MLR (Metadata for Learning Resources) comme formalisme de description. (ii) de décrire le modèle d'utilisateur avec XUN1 (eXtended User Model), notre proposition d'un modèle compatible avec les standards IEEE/PAPI et IMS/LIP. (iii) d'adapter l'algorithme des fourmis au contexte de l'apprentissage à distance afin de générer des parcours personnalisés. La dimension individuelle est aussi prise en compte par la mise en correspondance de MLR et de XUM. Pour valider notre modèle, nous avons développé une application et testé plusieurs scenarii mettant en action des utilisateurs différents à des moments différents. Nous avons ensuite procédé à des comparaisons entre ce que retourne le système et ce que suggère l'expert. Les résultats s'étant avérés satisfaisants dans la mesure où à chaque fois le système retourne un parcours semblable à celui qu'aurait proposé l'expert, nous sommes confortées dans notre approche.

Cross-sectional observational study of 208 patients with non-classical urea cycle disorders.

Urea cycle disorders (UCDs) are inherited disorders of ammonia detoxification often regarded as mainly of relevance to pediatricians. Based on an increasing number of case studies it has become obvious that a significant number of UCD patients are affected by their disease in a non-classical way: presenting outside the newborn period, following a mild course, presenting with unusual clinical features, or asymptomatic patients with only biochemical signs of a UCD. These patients are surviving into adolescence and adulthood, rendering this group of diseases clinically relevant to adult physicians as well as pediatricians. In preparation for an international workshop we collected data on all patients with non-classical UCDs treated by the participants in 20 European metabolic centres. Information was collected on a cohort of 208 patients 50% of which were ≥ 16 years old. The largest subgroup (121 patients) had X-linked ornithine transcarbamylase deficiency (OTCD) of whom 83 were female and 29% of these were asymptomatic. In index patients, there was a mean delay from first symptoms to diagnosis of 1.6 years. Cognitive impairment was present in 36% of all patients including female OTCD patients (in 31%) and those 41 patients identified presymptomatically following positive newborn screening (in 12%). In conclusion, UCD patients with non-classical clinical presentations require the interest and care of adult physicians and have a high risk of neurological complications. To improve the outcome of UCDs, a greater awareness by health professionals of the importance of hyperammonemia and UCDs, and ultimately avoidance of the still long delay to correctly diagnose the patients, is crucial.

The rationale of retinal endovascular fibrinolysis in the treatment of retinal vein occlusion : from experimental data to clinical application.

PURPOSE: : We describe a retinal endovascular fibrinolysis technique to directly reperfuse experimentally occluded retinal veins using a simple micropipette. METHODS: : Retinal vein occlusion was photochemically induced in 12 eyes of 12 minipigs: after intravenous injection of 10% fluorescein (1-mL bolus), the targeted retinal vein segment was exposed to thrombin (50 units) and to Argon laser (100-200 mW) through a pars plana approach. A beveled micropipette with a 30-μm-diameter sharp edge was used for micropuncture of the occluded vein and endovascular microinjection of tissue plasminogen activator (50 μg/mL) in 11 eyes. In one control eye, balanced salt solution was injected. The lesion site was examined histologically. RESULTS: : Retinal vein occlusion was achieved in all cases. Endovascular microinjection of tissue plasminogen activator or balanced salt solution led to reperfusion of the occluded retinal vein in all cases. Indicative of successful reperfusion were the following: continuous endovascular flow, unaffected collateral circulation, no optic disk ischemia, and no venous wall bleeding. However, balanced salt solution injection was accompanied by thrombus formation at the punctured site, whereas no thrombus was observed with tissue plasminogen activator injection. CONCLUSION: : Retinal endovascular fibrinolysis constitutes an efficient method of micropuncture and reperfusion of an experimentally occluded retinal vein. Thrombus formation at the punctured site can be prevented by injection of tissue plasminogen activator.

Multi-modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 data fusion contest

The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion. This paper presents the four awarded algorithms and the conclusions of the contest, investigating both supervised and unsupervised methods and the use of multi-modal data for flood detection. Interestingly, a simple unsupervised change detection method provided similar accuracy as supervised approaches, and a digital elevation model-based predictive method yielded a comparable projected change detection map without using post-event data.