The use of iterative algorithms in tomographic reconstruction always leads to a frequency adapted rate of convergence in that low frequencies are accurately reconstructed after a few iterations, while high frequencies sometimes require many more computations. In this paper, we propose to build frequency adapted (FA) algorithms based on a condition of incomplete backprojection and propose an FA ...

Division of Diabetes, Nutrition and Metabolic Disorders and Clinical Pharmacology Unit, CHU Sart Tilman, University of Liege, Liege, Belgium Correspondence to: Professor Scheen AJ, Division of Diabetes, Nutrition and Metabolic Disorders, Department of Medicine, CHU Sart Tilman (B35), B 4000 Liege, Belgium. Tel. +3243667238. Fax: +3243667068. E-mail: [email protected] Conflict of intere...

AUTHORS Julien ESTAGER / CERTECH ASBL, RUE JULES BORDET ZONE INDUSTRIELLE C, SENEFFE Jessica PLECK / CERTECH ASBL, RUE JULES BORDET ZONE INDUSTRIELLE C, SENEFFE Jean-Christophe MONBALIU / CENTER FOR INTEGRATED TECHNOLOGY AND ORGANIC SYNTHESIS CITOS UNIVERSITY OF LIEGE, BUILDING B6A, ROOM 3/16A ALLEE DU SIX AOUT 13, LIEGE (SART TILMAN) Romaric GERARDY / CENTER FOR INTEGRATED TECHNOLOGY AND ORGAN...

haematologica/journal of hematology vol. 88(07):july 2003 837 Beguin Research Director of the National Fund for Scientific Research (FNRS, Belgium). This work was supported by grants from “La Fondation BonjeanOleffe”, “L’Association sportive contre le cancer”, “Le Fonds de Recherche Scientifique du CHU Sart-Tilman” and the National Fund for Scientific Research (FNRS, Belgium). Correspondence: Y...

In this paper, we formulate the problem of computed tomography (CT)under sparsity and few-view constraints, and propose a novel algorithm for image reconstruction from few-view data utilizing the simultaneous algebraic reconstruction technique (SART) coupled with dictionary learning, sparse representation and total variation (TV) minimization on two interconnected levels. The main feature of ou...

Electron tomography usually suffers from so-called “missing wedge” artifacts caused by limited tilt angle range. An equally sloped tomography (EST) acquisition scheme (which should be called the linogram sampling scheme) was recently applied to achieve 2.4-angstrom resolution. On the other hand, a compressive sensing inspired reconstruction algorithm, known as adaptive dictionary based statisti...

We propose a web-based tool (SART: http://regstattools.net/sart.html) that automates calculations to obtain various population indicators that can be used for the control of diseases or health events. SART has four modules: a) a descriptive module that allows calculation of the number of cases and their percentage, the crude rate, the adjusted rate, the truncated rate and the cumulative rate; b...

Current computed tomography (CT) scanners, including micro-CT scanners, utilize a point x-ray source. As we target higher and higher spatial resolutions, the reduced x-ray focal spot size limits the temporal and contrast resolutions achievable. To overcome this limitation, in this paper we propose to use a line-shaped x-ray source so that many more photons can be generated, given a data acquisi...

The purpose of the present study was to evaluate the effectiveness of subjective and objective probe questions in predicting situation awareness as measured by the Situation Awareness Rating Technique (SART). The data for this evaluation were taken from a previous investigation in which instrumentrated pilots flew automated ILS approaches into the Dallas-Fort Worth (DFW) Airport while monitorin...

Part I of this paper defines the class of constructive unsupervised on-line learning simplified adaptive resonance theory (SART) clustering networks. Proposed instances of class SART are the symmetric Fuzzy ART (S-Fuzzy ART) and the Gaussian ART (GART) network. In Part II of our work, a third network belonging to class SART, termed fully self-organizing SART (FOSART), is presented and discussed...