Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Subject Classifications Applied Mathematics; Biomaterials; Biomaterials; Biomaterials & Medical Devices; Biomechanics; Biomechanics and Human Movement Science; Biomedical Engineering; Engineering & Technology; Fluid Mechanics; Materials Science; Materials Science; Mathematical Biology; Mathematics & Statistics; Mechanical Engineering; Medical Imaging; Physical Sciences; Sport and Exercise Science; Sports Technology and Engineering; Sports and Leisure Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discover

Metodi numerici innovativi per problemi discreti di grandi dimensioni

I compiti dell'unita' di Bologna riguardano i seguenti temi: A) Problemi mal posti e metodi di regolarizzazione B) Equazioni matriciali e funzioni di matrici C) Problemi agli autovalori Nel progetto saranno curati sia gli aspetti teorici che numerici legati alle tematiche A-B-C e saranno inoltre considerate la rilevanza in campo applicativo con particolare attenzione all'ambito dell'elaborazione di immagini, dove membri dell'Unit\ue0 hanno collaborazioni in ambito industriale e giuridico, in fenomeni dinamici complessi retti da equazioni a derivate parziali (EDP), della teoria dei sistemi e di controllo. Gli algoritmi individuati verranno validati con una loro implementazione prototipale e sperimentazione

Cascadic Multilevel methods for fast nonsymmetric blur- and noise-removal

Image deblurring is a discrete ill-posed problem. This paper discusses cascadic multilevel methods designed for the restoration of images that have been contaminated by nonsymmetric blur and noise. Prolongation is carried out by nonlinear edge-preserving and noise-reducing operators, while restrictions are determined by weighted local least-squares approximation. The restoration problem is on each level solved by an iterative method, with the number of iterations determined by the discrepancy principle. The performance of several iterative methods is compared. Computed examples demonstrate the effectiveness of the image restoration methods proposed. The discrepancy principle requires that an estimate of the norm of the noise in the contaminated image be available. We illustrate how such an estimate can be computed with the aid of the nonlinear Perona\u2013Malik diffusion equation

Workshop Comsol Multiphysics

Workshop Comsol Multiphysics 28 novembre 2006 Luogo: Bologna, Facolt\ue0 di Ingegneria, Viale Risorgimento 2 - Le Prof.sse Serena Morigi, Fiorella Sgallari e Fabiana Zama docenti di Analisi Numerica presso l'Universit\ue0 di Bologna presenteranno il 28 novembre 2006 a Bologna un workshop sullo sviluppo di modellazione di sistemi tramite Comsol Multiphysics. Dopo una breve dimostrazione dal vivo presentata dal Dott. Daniel Ericsson, ci sar\ue0 l'opportunit\ue0 di provare direttamente il software Comsol nelle esercitazioni pratiche al calcolatore. Le applicazioni considerate comprendono elettro-magnetismo AC/DC e RF - ottica, fotonica, microonde - MEMS, termofluidodinamica, meccanica strutturale, ingegneria chimica, scienze della terra, modellazione tramite PDE e molto altro. La partecipazione al workshop \ue8 libera, previa registrazione

Segmentation of 3D tubular structures by a PDE-based anisotropic diffusion model

In this work we introduce the segmentation of 3D tubular structures by a PDE-based anisotropic diffusion model. The approach and the segmentation model are general but we apply the segmentation technique to the challenging problem of segmenting tubular-like structures. The reconstruction is obtained by continuously deforming an initial distance function following the Partial Differential Equation (PDE)-based diffusion model derived from a minimal volume-like variational formulation. The gradient flow for this functional leads to a nonlinear curvature motion model. An anisotropic variant is provided which includes a diffusion tensor aimed to follow the tube geometry. Numerical examples demonstrate the ability of the proposed method to produce high quality 2D/3D segmentations of complex and eventually incomplete synthetic and real data

An edge-preserving multilevel method for deblurring, denoising, and segmentation

We present a fast edge-preserving cascadic multilevel image restoration method for reducing blur and noise in contaminated images. The method also can be applied to segmentation. Our multilevel method blends linear algebra and partial differential equation techniques. Regu- larization is achieved by truncated iteration on each level. Prolongation is carried out by nonlinear edge-preserving and noise-reducing operators. A thresholding updating technique is shown to reduce \u201cringing\u201d artifacts. Our algorithm combines deblurring, denoising, and segmentation within a single framework

An interior point method for large constrained discrete ill-posed problems

Abstract Ill-posed problems are numerically underdetermined. It is therefore often beneficial to impose known properties of the desired solution, such as nonnegativity, during the solution process. This paper proposes the use of an interior-point method in conjunction with truncated iteration for the solution of large-scale linear discrete ill-posed problems with box constraints. An estimate of the error in the data is assumed to be available. Numerical examples demonstrate the competitiveness of this approach

SSVM 07 1st International Conference On Scale Space and Variational Methods in Computer Vision

First International Conference on Scale-Space and Variational Methods in Computer Vision. Ischia, Italy, May 30- June 2, 2007 This international conference is a joint edition of the 6th Scale Space and the 4th VLSM and it will be a first attempt to bring together two different communities with joint research interests, the one of scale space analysis and the one of variational, geometric and level set methods and their applications in image interpretation and understanding. Such a conference would serve several purposes: international researchers and students would be exposed to state-of-the-art research on mathematical, physical and computational aspects of imaging, computer vision, graphics and inverse problems with applications. Paper submission is open at the link: http://ssvm07.ciram.unibo.it/ssvm07_public/papersub.html Conference deadlines: Abstract submission: October 16th, 2006 Full paper submission: October 23rd, 2006 Notification of acceptance: January 15th, 2007 Final paper: February 15th, 2007 INVITED SPEAKERS Prof. Franco Brezzi University of Pavia, Italy Prof. Emmanuel Candes California Institute of Technology, USA Prof. Tomaso A. Poggio Massachusetts Institute of Technology, USA (To be Confirmed) GENERAL CO-CHAIRS and ORGANIZERS Fiorella Sgallari University of Bologna Italy Almerico Murli University of Naples Federico II, Italy Nikos Paragios Ecole Centrale de Paris, France CONFERENCE CHAIRS Alfred Bruckstein Technion IIT, Israel Bart ter Haar Romeny Eindhoven University of Technology, NL Guillermo Sapiro University of Minnesota, USA Joackim Weickert Saarland University, Germany For more details, see http://ssvm07.ciram.unibo.it/