Efficient total variation algorithm for fetal MRI reconstruction

Fetal MRI reconstruction aims at finding a high-resolution image given a small set of low-resolution images. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has considered several regularization terms s.a. Dirichlet/Laplacian energy [1], Total Variation (TV)based energies [2,3] and more recently non-local means [4]. Although TV energies are quite attractive because of their ability in edge preservation, standard explicit steepest gradient techniques have been applied to optimize fetal-based TV energies. The main contribution of this work lies in the introduction of a well-posed TV algorithm from the point of view of convex optimization. Specifically, our proposed TV optimization algorithm for fetal reconstruction is optimal w.r.t. the asymptotic and iterative convergence speeds O(1/n(2)) and O(1/root epsilon), while existing techniques are in O(1/n) and O(1/epsilon). We apply our algorithm to (1) clinical newborn data, considered as ground truth, and (2) clinical fetal acquisitions. Our algorithm compares favorably with the literature in terms of speed and accuracy.

Extension of ultrasound Fourier slice Imaging theory to sectorial acquisition

Ultrasound image reconstruction from the echoes received by an ultrasound probe after the transmission of diverging waves is an active area of research because of its capacity to insonify at ultra-high frame rate with large regions of interest using small phased arrays as the ones used in echocardiography. Current state-of-the-art techniques are based on the emission of diverging waves and the use of delay and sum strategies applied on the received signals to reconstruct the desired image (DW/DAS). Recently, we have introduced the concept of Ultrasound Fourier Slice Imaging (UFSI) theory for the reconstruction of ultrafast imaging for linear acquisition. In this study, we extend this theory to sectorial acquisition thanks to the introduction of an explicit and invertible spatial transform. Starting from a diverging wave, we show that the direct use of UFSI theory along with the application of the proposed spatial transform allows reconstructing the insonified medium in the conventional Cartesian space. Simulations and experiments reveal the capacity of this new approach in obtaining competitive quality of ultrafast imaging when compared with the current reference method.

Prospective motion correction with FID-triggered image navigators

In this work, we propose a method for prospective motion correction in MRI using a novel image navigator module, which is triggered by a free induction decay (FID) navigator. Only when motion occurs, the image navigator is run and new positional information is obtained through image registration. The image navigator was specifically designed to match the impact on the magnetization and the acoustic noise of the host sequence. This detection-correction scheme was implemented for an MP-RAGE sequence and 5 healthy volunteers were scanned at 3T while performing various head movements. The correction performance was demonstrated through automated brain segmentation and an image quality index whose results are sensitive to motion artifacts.

Structured sparsity through reweighting and application to diffusion MRI

We consider the problem of multiple correlated sparse signals reconstruction and propose a new implementation of structured sparsity through a reweighting scheme. We present a particular application for diffusion Magnetic Resonance Imaging data and show how this procedure can be used for fibre orientation reconstruction in the white matter of the brain. In that framework, our structured sparsity prior can be used to exploit the fundamental coherence between fibre directions in neighbour voxels. Our method approaches the ℓ0 minimisation through a reweighted ℓ1-minimisation scheme. The weights are here defined in such a way to promote correlated sparsity between neighbour signals.

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Mapping the microstructure properties of the local tissues in the brain is crucial to understand any pathological condition from a biological perspective. Most of the existing techniques to estimate the microstructure of the white matter assume a single axon orientation whereas numerous regions of the brain actually present a fiber-crossing configuration. The purpose of the present study is to extend a recent convex optimization framework to recover microstructure parameters in regions with multiple fibers.

On evaluating the accuracy and biological plausibility of diffusion MRI tractograms

In diffusion MRI, traditional tractography algorithms do not recover truly quantitative tractograms and the structural connectivity has to be estimated indirectly by counting the number of fiber tracts or averaging scalar maps along them. Recently, global and efficient methods have emerged to estimate more quantitative tractograms by combining tractography with local models for the diffusion signal, like the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) framework. In this abstract, we show the importance of using both (i) proper multi-compartment diffusion models and (ii) adequate multi-shell acquisitions, in order to evaluate the accuracy and the biological plausibility of the tractograms.

Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres (AMICOx)

This paper reviews and extends our previous work to enable fast axonal diameter mapping from diffusion MRI data in the presence of multiple fibre populations within a voxel. Most of the existing mi-crostructure imaging techniques use non-linear algorithms to fit their data models and consequently, they are computationally expensive and usually slow. Moreover, most of them assume a single axon orientation while numerous regions of the brain actually present more complex configurations, e.g. fiber crossing. We present a flexible framework, based on convex optimisation, that enables fast and accurate reconstructions of the microstructure organisation, not limited to areas where the white matter is coherently oriented. We show through numerical simulations the ability of our method to correctly estimate the microstructure features (mean axon diameter and intra-cellular volume fraction) in crossing regions.

Brain Connections Associated With Socio-Cognitive Skills in Preterm and Low Birth Weight School Age Children

Identification of neuroimaging biomarkers following extreme prematurity (EP) and intrauterine growth restriction (IUGR) is crucial for understanding their cognitive and behavioral impairments at school age

Automatic Brain Extraction in Fetal MRI using Multi-Atlas-based Segmentation

In fetal brain MRI, most of the high-resolution reconstruction algorithms rely on brain segmentation as a preprocessing step. Manual brain segmentation is however highly time-consuming and therefore not a realistic solution. In this work, we assess on a large dataset the performance of Multiple Atlas Fusion (MAF) strategies to automatically address this problem. Firstly, we show that MAF significantly increase the accuracy of brain segmentation as regards single-atlas strategy. Secondly, we show that MAF compares favorably with the most recent approach (Dice above 0.90). Finally, we show that MAF could in turn provide an enhancement in terms of reconstruction quality.

Zone indécise : périphéries urbaines et voyage de proximité dans la littérature française contemporaine : une problématique paysagère? : François Bon, François Maspéro, Jacques Réda, Jean Rolin, Denis Tillinac, Philippe Vasset

Depuis les années 1980, en France, les périphéries urbaines sont très fortement investies par les écrivains. Pauvreté architecturale, prolifération d'espaces mono-fonctionnels, déréliction sociale, les maux y sont de divers ordres. En bref, c'est là que la ville serait moins ville que la ville : la périphérie souffrirait d'un déficit d'urbanité. Par ailleurs, tout ce qui relève de l'urbain mérite, aujourd'hui, comme une prise en charge paysagère, ce dont témoigne, entre autres, le fait que les métiers du paysage sont souvent associés aux entreprises de requalification de ces espaces.¦Le corpus étudié dans ce travail est littéraire : il compte huit textes, parus entre 1990 et 2007. Premièrement, ces textes appartiennent au paradigme de l'ordinaire, ou du quotidien. Deuxièmement, ils sont écrits du point de vue du centre. Troisièmement, ils relèvent d'une expérience de déplacement, ou d'un projet viatique : il en résulte que les espaces y sont tout à la fois pratiqués, perçus et représentés.¦À partir d'un modèle du paysage qui l'entend comme une réalité multipolaire, les huit textes sont interrogés par le croisement de l'analyse littéraire avec d'autres savoirs (géographie, phénoménologie, histoire culturelle, sociologie). Il s'agit d'abord de construire, avec les écrivains, différents types d'espaces géographiques : des espaces urbains centraux, des espaces suburbains et des espaces périurbains. Ensuite, il faut appréhender le paysage dans sa complexité polysensorielle, sa dimension identificatoire, comme à travers son appréciation explicite par les «voyageurs». Il s'agit, encore, d'éprouver les tensions esthétiques, voire ironiques, du « paysage urbain ». Et, finalement, de prendre en considération les hommes, c'est-à-dire le rapport à l'autre qui est institué par chacun des auteurs.¦La thèse défendue est que les écrivains sont bel et bien les agents d'une requalification symbolique de l'urbain contemporain. D'une part, ils requalifient l'urbain dans la mesure où ils le donnent à connaître; où ils rendent habitable ce qui semble inhabitable; où ils mobilisent des schèmes esthétiques - la fenêtre perceptive, le mélange, la flânerie - qui permettent d'informer les espaces visités. D'autre part, en s'appropriant symboliquement les périphéries urbaines, il apparaît que les écrivains les réintègrent, plus ou moins, dans la cité. Cela signifie également qu'ils y redistribuent le pouvoir, ou la parole, manifestant ainsi la dimension proprement politique du paysage.