Le déni de l'écrit à l'écran. L'écrivain, son oeuvre et l'univers filmique

L'article examine, à travers un grand nombre d'exemples principalement issus du cinéma hollywoodien contemporain, les implications esthétiques et narratologiques de ce « paradoxe » qui consiste à vouloir filmer l'écrivain et son travail. L'analyse de films présentant diverses formes de mise en abyme - l'écrivain y est souvent visualisé sous la forme d'une projection dans l'oeuvre qu'il écrit - permet à l'auteur de montrer comment les films tendent à développer sur le plan scénaristique des stratégies visant à compenser le déficit en termes de spectaculaire et d'action qu'implique la monstration de la matérialité de l'écrit. Il est ainsi question de la manière dont certains films exacerbent la dimension orale du verbal, optent pour des motifs tels que la panne d'inspiration de l'écrivain, associent l'écrit à un personnage qui le met en actes ou transforment le contenu de l'oeuvre d'un auteur en un monde.

Objective assessment of image quality in conventional and digital mammography taking into account dynamic range.

The goal of this work is to develop a method to objectively compare the performance of a digital and a screen-film mammography system in terms of image quality. The method takes into account the dynamic range of the image detector, the detection of high and low contrast structures, the visualisation of the images and the observer response. A test object, designed to represent a compressed breast, was constructed from various tissue equivalent materials ranging from purely adipose to purely glandular composition. Different areas within the test object permitted the evaluation of low and high contrast detection, spatial resolution and image noise. All the images (digital and conventional) were captured using a CCD camera to include the visualisation process in the image quality assessment. A mathematical model observer (non-prewhitening matched filter), that calculates the detectability of high and low contrast structures using spatial resolution, noise and contrast, was used to compare the two technologies. Our results show that for a given patient dose, the detection of high and low contrast structures is significantly better for the digital system than for the conventional screen-film system studied. The method of using a test object with a large tissue composition range combined with a camera to compare conventional and digital imaging modalities can be applied to other radiological imaging techniques. In particular it could be used to optimise the process of radiographic reading of soft copy images.

MBIS: multivariate Bayesian image segmentation tool.

We present MBIS (Multivariate Bayesian Image Segmentation tool), a clustering tool based on the mixture of multivariate normal distributions model. MBIS supports multichannel bias field correction based on a B-spline model. A second methodological novelty is the inclusion of graph-cuts optimization for the stationary anisotropic hidden Markov random field model. Along with MBIS, we release an evaluation framework that contains three different experiments on multi-site data. We first validate the accuracy of segmentation and the estimated bias field for each channel. MBIS outperforms a widely used segmentation tool in a cross-comparison evaluation. The second experiment demonstrates the robustness of results on atlas-free segmentation of two image sets from scan-rescan protocols on 21 healthy subjects. Multivariate segmentation is more replicable than the monospectral counterpart on T1-weighted images. Finally, we provide a third experiment to illustrate how MBIS can be used in a large-scale study of tissue volume change with increasing age in 584 healthy subjects. This last result is meaningful as multivariate segmentation performs robustly without the need for prior knowledge.