Using a NPWE model observer to assess suitable image quality for a digital mammography quality assurance programme.

A method of objectively determining imaging performance for a mammography quality assurance programme for digital systems was developed. The method is based on the assessment of the visibility of a spherical microcalcification of 0.2 mm using a quasi-ideal observer model. It requires the assessment of the spatial resolution (modulation transfer function) and the noise power spectra of the systems. The contrast is measured using a 0.2-mm thick Al sheet and Polymethylmethacrylate (PMMA) blocks. The minimal image quality was defined as that giving a target contrast-to-noise ratio (CNR) of 5.4. Several evaluations of this objective method for evaluating image quality in mammography quality assurance programmes have been considered on computed radiography (CR) and digital radiography (DR) mammography systems. The measurement gives a threshold CNR necessary to reach the minimum standard image quality required with regards to the visibility of a 0.2-mm microcalcification. This method may replace the CDMAM image evaluation and simplify the threshold contrast visibility test used in mammography quality.

Ethique du mariage et des autres formes de coexistence humaine

(Résumé de l'ouvrage) Faut-il prévoir des cultes de bénédiction pour les couples de même sexe ? Des pasteures et pasteurs homophiles peuvent-ils vivre avec leur partenaire dans la cure ? En lien avec des événements précis, plusieurs Eglises protestantes de Suisse ont dû prendre position sur des questions de ce genre. Les résultats ont été en partie très variés, notamment entre la Suisse alémanique et la Suisse romande. La Commission théologique de la Fédération des Eglises Protestantes de la Suisse (FEPS) a élaboré cet ouvrage qui se présente comme un manuel pour une telle reprise du thème. Il étudie les prises de position qui ont vu le jour durant cette dernière décennie et les interroge de manière critique sous différents angles. Comment lit-on les textes bibliques ? Quelle image de l'être humain est-elle présupposée ? Comment comprend-on la bénédiction et qu'entend-on par mariage ? Comment se joue la relation entre l'Eglise et l'Etat ? Que montre une comparaison oecuménique ? Et quel statut accorde-t-on à la question ? Partant des expériences passées, le livre indique comment le processus pourrait être poursuivi de manière plus ouverte, plus franche et plus adéquate.

Approche biochimique et morphologique des espèces du genre Trichia (Helicidae, Gastropoda) de Suisse occidentale

The highly polymorphic so called "Trichia hispida group" is taxonomically problematic. According to different authors, one to about one hundred species are recognized in this group. Some recent publications admit 8 species for Central Euorpe. The present study gives arguments from biochemical data (12 enzymatic loci are electrophoretically analysed) for regrouping 5 morphological types into 2 species : Trichia sericea (Müller) var. sericea, plebeia, montana and striolata, and T.hispida(L.). A multivariate analysis of morphological measurments, and patterns of coexistence seem to corroborate this interpretation. T. sericea presents a wider ecological and morphological range, and both species need further investigations on their ecological and taxonomical relationship.

Structured output SVM for remote sensing image classification

In the recent years, kernel methods have revealed very powerful tools in many application domains in general and in remote sensing image classification in particular. The special characteristics of remote sensing images (high dimension, few labeled samples and different noise sources) are efficiently dealt with kernel machines. In this paper, we propose the use of structured output learning to improve remote sensing image classification based on kernels. Structured output learning is concerned with the design of machine learning algorithms that not only implement input-output mapping, but also take into account the relations between output labels, thus generalizing unstructured kernel methods. We analyze the framework and introduce it to the remote sensing community. Output similarity is here encoded into SVM classifiers by modifying the model loss function and the kernel function either independently or jointly. Experiments on a very high resolution (VHR) image classification problem shows promising results and opens a wide field of research with structured output kernel methods.

Inexperienced sonographers can successfully visualize and assess a three-dimensional image of the fetal face using a standardized ultrasound protocol

Introduction: A standardized three-dimensional ultrasonographic (3DUS) protocol is described that allows fetal face reconstruction. Ability to identify cleft lip with 3DUS using this protocol was assessed by operators with minimal 3DUS experience. Material and Methods: 260 stored volumes of fetal face were analyzed using a standardized protocol by operators with different levels of competence in 3DUS. The outcomes studied were: (1) the performance of post-processing 3D face volumes for the detection of facial clefts; (2) the ability of a resident with minimal 3DUS experience to reconstruct the acquired facial volumes, and (3) the time needed to reconstruct each plane to allow proper diagnosis of a cleft. Results: The three orthogonal planes of the fetal face (axial, sagittal and coronal) were adequately reconstructed with similar performance when acquired by a maternal-fetal medicine specialist or by residents with minimal experience (72 vs. 76%, p = 0.629). The learning curve for manipulation of 3DUS volumes of the fetal face corresponds to 30 cases and is independent of the operator's level of experience. Discussion: The learning curve for the standardized protocol we describe is short, even for inexperienced sonographers. This technique might decrease the length of anatomy ultrasounds and improve the ability to visualize fetal face anomalies.