Sviluppo di tecniche di Speckle tracking per la correzione del movimento in ecografia epatica perfusionale

L'ecografia con mezzo di contrasto è una tecnica non invasiva che consente di visualizzare la micro e la macrocircolazione grazie all'utilizzo di microbolle gassose che si distribuiscono in tutto il sistema cardiovascolare. Le informazioni emodinamiche e perfusionali ricavabili dalle immagini eco con contrasto possono essere utilizzate per costruire un modello a grafo dell'albero vascolare epatico. L'analisi della connettività del grafo rappresenta una strategia molto promettente che potrebbe consentire di sostituire la misurazione del gradiente pressorio venoso del fegato, che richiede cateterismo, determinando un notevole miglioramento nella gestione dei pazienti cirrotici. La presente tesi si occupa della correzione dei movimenti del fegato, che deve essere realizzata prima di costruire il grafo per garantire un'accuratezza adeguata. Per correggere i movimenti è proposta una tecnica di Speckle tracking, testata sia in vitro su sequenze eco sintetiche, sia in vivo su sequenze reali fornite dal Policlinico Sant'Orsola.

Robustness of speckle imaging techniques applied to horizontal imaging scenarios

Atmospheric turbulence near the ground severely limits the quality of imagery acquired over long horizontal paths. In defense, surveillance, and border security applications, there is interest in deploying man-portable, embedded systems incorporating image reconstruction methods to compensate turbulence effects. While many image reconstruction methods have been proposed, their suitability for use in man-portable embedded systems is uncertain. To be effective, these systems must operate over significant variations in turbulence conditions while subject to other variations due to operation by novice users. Systems that meet these requirements and are otherwise designed to be immune to the factors that cause variation in performance are considered robust. In addition robustness in design, the portable nature of these systems implies a preference for systems with a minimum level of computational complexity. Speckle imaging methods have recently been proposed as being well suited for use in man-portable horizontal imagers. In this work, the robustness of speckle imaging methods is established by identifying a subset of design parameters that provide immunity to the expected variations in operating conditions while minimizing the computation time necessary for image recovery. Design parameters are selected by parametric evaluation of system performance as factors external to the system are varied. The precise control necessary for such an evaluation is made possible using image sets of turbulence degraded imagery developed using a novel technique for simulating anisoplanatic image formation over long horizontal paths. System performance is statistically evaluated over multiple reconstruction using the Mean Squared Error (MSE) to evaluate reconstruction quality. In addition to more general design parameters, the relative performance the bispectrum and the Knox-Thompson phase recovery methods is also compared. As an outcome of this work it can be concluded that speckle-imaging techniques are robust to the variation in turbulence conditions and user controlled parameters expected when operating during the day over long horizontal paths. Speckle imaging systems that incorporate 15 or more image frames and 4 estimates of the object phase per reconstruction provide up to 45% reduction in MSE and 68% reduction in the deviation. In addition, Knox-Thompson phase recover method is shown to produce images in half the time required by the bispectrum. The quality of images reconstructed using Knox-Thompson and bispectrum methods are also found to be nearly identical. Finally, it is shown that certain blind image quality metrics can be used in place of the MSE to evaluate quality in field scenarios. Using blind metrics rather depending on user estimates allows for reconstruction quality that differs from the minimum MSE by as little as 1%, significantly reducing the deviation in performance due to user action.

On roughness measurement by angular speckle correlation

In this work, the influence of both characteristics of the lens and misalignment of the incident beams on roughness measurement is presented. To investigate how the focal length and diameter affect the degree of correlation between the speckle patterns, a set of experiments with different lenses is performed. On the other hand, the roughness when the beams separated by an amount are non-coincident at the same point on the sample is measured. To conclude the study, the uncertainty of the method is calculated.

Rauheitsmessung an pharmazeutischen tabletten mittels angularer speckle-korrelation

En este artículo se estudia la calidad del proceso de fabricación pastillas de distinto origen, entre los que se incluyen productos genéricos. El resultado fundamental es que, las marcas oficiales y sus respectivos genéricos, no son iguales desde el punto de vista de su acabado, lo cual repercute directamente en su eficacia.Eine vollsUindige Charakterisierung von pharmazeutischen Tabletten besteht nicht nur in der Analyse der chemischen Zusammensetzung, sondern auch in der Untersuchung der Fertigung der inneren Struktur und der OberfUichenstruktur. Ziel dieser Arbeit ist es, die OberfUichenrauheit von Tabletten an Originalpra• paraten und Generika mittels Angularer Speckle Korre• lation (ASK) zu bestimmen. Die Ergebnisse zeigen un terschiedliche Rauheitswerte bei Tabletten mit gleichem Wirkstoff bei verschiedenen Tragerstoffen. Berührungslose Speckle-Rauheitsmessung konnte eingesetzt werden, um die Regelung des Produktionsprozesses zu verbessern, z. B. wahrend die Tabletten aus Pulver gepresst werden. A complete characterization of pharmaceutical tablets requires not only the analysis of its chemical com• pounds, but also of its inner and surface structure manufacturing. The aim of this work is to determine the sur face roughness of original and generic tablets by means of angular speckle correlation (ASC). The results show different roughness properties between tablets with the same active ingredients, but with different excipients. Contactless speckle roughness measurements could be used to im• prove the control of the production process, e. g., when tablets are pressed from powder.

Estudo ecocardiográfico da função ventricular esquerda em pacientes com lúpus eritematoso sistêmico juvenil através da técnica de Speckle-Tracking bidimensional

Objetivo: O principal propósito do estudo foi pesquisar a disfunção ventricular esquerda subclínica em pacientes com lúpus eritematoso sistêmico juvenil (LESJ) através da técnica de speckle-tracking bidimensional. Foi investigada ainda uma possível correlação entre o comprometimento da deformação miocárdica e o SLEDAI-2K (Systemic Lupus Erithematosus Disease Activity Index 2000), bem como a presença de fatores de risco cardiovascular, tanto tradicionais como ligados à doença. Métodos: 50 pacientes assintomáticos do ponto de vista cardiovascular e 50 controles saudáveis (14,74 vs. 14,82 anos, p=0.83) foram avaliados pelo ecocardiograma convencional e pelo speckle-tracking bidimensional. Resultados: Apesar da fração de ejeção normal, os pacientes apresentaram redução de todos os parâmetros de deformação miocárdica longitudinal e radial, quando comparados aos controles: strain de pico sistólico longitudinal [-20,3 (-11 a -26) vs. -22 (-17,8 a -30.4) %, p < 0,0001], strain rate de pico sistólico longitudinal [-1,19 ± 0,21 vs. -1,3 ± 0,25 s-1, p=0,0005], strain rate longitudinal na diástole precoce [1,7 (0,99 a 2,95) vs. 2 (1,08 a 3,00) s-1 , p=0,0034], strain de pico sistólico radial [33,09 ± 8,6 vs. 44,36 ± 8,72%, p < 0,0001], strain rate de pico sistólico radial [1,98 ± 0,53 vs. 2,49 ± 0,68 s-1, p < 0,0001] e strain rate radial na diástole precoce [-2,31 ± 0,88 vs. -2,75 ± 0,97 s-1, p=0,02]. O strain de pico sistólico circunferencial [-23,67 ± 3,46 vs. - 24,6 ± 2,86%, p=0,43] e o strain rate circunferencial na diástole precoce [2 (0,88 a 3,4) vs. 1,99 (1,19 a 3,7) s-1, p=0,88] foram semelhantes em pacientes e controles. Apenas o strain rate de pico sistólico circunferencial [-1,5 ± 0,3 vs. -1,6 ± 0,3 s-1, p=0,036] mostrou-se reduzido no LESJ. Uma correlação negativa foi identificada entre o strain de pico sistólico longitudinal e o SLEDAI-2K (r = - 0,52; p < 0,0001) e também o número de fatores de risco cardiovascular por paciente (r = -0,32, p=0,024). Conclusões: Foi evidenciada disfunção sistólica e diastólica subclínica de ventrículo esquerdo no LESJ através da técnica de speckle-tracking bidimensional. A atividade da doença e a exposição aos fatores de risco cardiovascular provavelmente contribuíram para o comprometimento da deformação miocárdica nesses pacientes

Characterization of spatial–temporal patterns in dynamic speckle sequences using principal component analysis

Abstract. Speckle is being used as a characterization tool for the analysis of the dynamics of slow-varying phenomena occurring in biological and industrial samples at the surface or near-surface regions. The retrieved data take the form of a sequence of speckle images. These images contain information about the inner dynamics of the biological or physical process taking place in the sample. Principal component analysis (PCA) is able to split the original data set into a collection of classes. These classes are related to processes showing different dynamics. In addition, statistical descriptors of speckle images are used to retrieve information on the characteristics of the sample. These statistical descriptors can be calculated in almost real time and provide a fast monitoring of the sample. On the other hand, PCA requires a longer computation time, but the results contain more information related to spatial–temporal patterns associated to the process under analysis. This contribution merges both descriptions and uses PCA as a preprocessing tool to obtain a collection of filtered images, where statistical descriptors are evaluated on each of them. The method applies to slow-varying biological and industrial processes.

Comparison of two-dimensional speckle and tissue velocity based strain and validation with harmonic phase magnetic resonance imaging

Two-dimensional (2-D) strain (epsilon(2-D)) on the basis of speckle tracking is a new technique for strain measurement. This study sought to validate epsilon(2-D) and tissue velocity imaging (TVI)based strain (epsilon(TVI)) with tagged harmonic-phase (HARP) magnetic resonance imaging (MRI). Thirty patients (mean age. 62 +/- 11 years) with known or suspected ischemic heart disease were evaluated. Wall motion (wall motion score index 1.55 +/- 0.46) was assessed by an expert observer. Three apical images were obtained for longitudinal strain (16 segments) and 3 short-axis images for radial and circumferential strain (18 segments). Radial epsilon(TVI) was obtained in the posterior wall. HARP MRI was used to measure principal strain, expressed as maximal length change in each direction. Values for epsilon(2-D), epsilon(TVI), and HARP MRI were comparable for all 3 strain directions and were reduced in dysfunctional segments. The mean difference and correlation between longitudinal epsilon(2-D) and HARP MRI (2.1 +/- 5.5%, r = 0.51, p < 0.001) were similar to those between longitudinal epsilon(TVI), and HARP MRI (1.1 +/- 6.7%, r = 0.40, p < 0.001). The mean difference and correlation were more favorable between radial epsilon(2-D) and HARP MRI (0.4 +/- 10.2%, r = 0.60, p < 0.001) than between radial epsilon(TVI), and HARP MRI (3.4 +/- 10.5%, r = 0.47, p < 0.001). For circumferential strain, the mean difference and correlation between epsilon(2-D) and HARP MRI were 0.7 +/- 5.4% and r = 0.51 (p < 0.001), respectively. In conclusion, the modest correlations of echocardiographic and HARP MRI strain reflect the technical challenges of the 2 techniques. Nonetheless, epsilon(2-D) provides a reliable tool to quantify regional function, with radial measurements being more accurate and feasible than with TVI. Unlike epsilon(TVI), epsilon(2-D) provides circumferential measurements. (c) 2006 Elsevier Inc. All rights reserved.

Nonlinear propagation of an optical speckle field

We provide a theoretical explanation of the results on the intensity distributions and correlation functions obtained from a random-beam speckle field in nonlinear bulk waveguides reported in the recent publication by Bromberg et al. [Nat. Photonics 4, 721 (2010) ].. We study both the focusing and defocusing cases and in the limit of small speckle size (short-correlated disordered beam) provide analytical asymptotes for the intensity probability distributions at the output facet. Additionally we provide a simple relation between the speckle sizes at the input and output of a focusing nonlinear waveguide. The results are of practical significance for nonlinear Hanbury Brown and Twiss interferometry in both optical waveguides and Bose-Einstein condensates. © 2012 American Physical Society.

Characterization of dynamic speckle sequences using principal component analysis and image descriptors

Speckle is being used as a characterization tool for the analysis of the dynamic of slow varying phenomena occurring in biological and industrial samples. The retrieved data takes the form of a sequence of speckle images. The analysis of these images should reveal the inner dynamic of the biological or physical process taking place in the sample. Very recently, it has been shown that principal component analysis is able to split the original data set in a collection of classes. These classes can be related with the dynamic of the observed phenomena. At the same time, statistical descriptors of biospeckle images have been used to retrieve information on the characteristics of the sample. These statistical descriptors can be calculated in almost real time and provide a fast monitoring of the sample. On the other hand, principal component analysis requires longer computation time but the results contain more information related with spatial-temporal pattern that can be identified with physical process. This contribution merges both descriptions and uses principal component analysis as a pre-processing tool to obtain a collection of filtered images where a simpler statistical descriptor can be calculated. The method has been applied to slow-varying biological and industrial processes