The goal of this research is to achieve accurate characterization of multi-layered soft tissues in three dimensions using focused ultrasound. The characterization of the acoustic parameters of each tissue layer is formulated as recursive processes of forward- and inverse- scattering. Forward scattering deals with the modeling of focused ultrasound wave propagation in multi-layered tissues, and the computation of the focused wave amplitudes in the tissues based on the acoustic parameters of the tissue as generated by inverse scattering. The model for mapping the tissue acoustic parameters to focused waves is highly nonlinear and stochastic. In addition, solving (or inverting) the model to obtain tissue acoustic parameters is an ill-posed problem. Therefore, a nonlinear stochastic inverse scattering method is proposed such that no linearization and mathematical inversion of the model are required. Inverse scattering aims to estimate the tissue acoustic parameters based on the forward scattering model and ultrasound measurements of the tissues. A multi-scale stochastic filter (MSF) is proposed to perform inverse scattering. MSF generates a set of tissue acoustic parameters, which are then mapped into focused wave amplitudes in the multi-layered tissues by forward scattering. The tissue acoustic parameters are weighted by comparing their focused wave amplitudes to the actual ultrasound measurements. The weighted parameters are used to estimate a weighted Gaussian mixture as the posterior probability density function (PDF) of the parameters. This PDF is optimized to achieve minimum estimation error variance in the sense of the posterior Cramer-Rao bound. The optimized posterior PDF is used to produce minimum mean-square-error estimates of the tissue acoustic parameters. As a result, both the estimation error and uncertainty of the parameters are minimized. PDF optimization is formulated based on a novel multi-scale PDF analysis framework. This framework is founded based on exploiting the analogy between PDFs and analog (or digital) signals. PDFs and signals are similar in the sense that they represent characteristics of variables in their respective domains, except that there are constraints imposed on PDFs. Therefore, it is reasonable to consider a PDF as a signal that is subject to amplitude constraints, and as such apply signal processing techniques to analyze the PDF. The multi-scale PDF analysis framework is proposed to recursively decompose an arbitrary PDF from its fine to coarse scales. The recursive decompositions are designed so as to ensure that requirements such as PDF constraints, zero-phase shift and non-creation of artifacts are satisfied. The relationship between the PDFs at consecutive scales is derived in order for the PDF optimization process to recursively reconstruct the posterior PDF from its coarse to fine scales. At each scale, PDF reconstruction aims to reduce the variances of the posterior PDF Gaussian components, and as a result the confidence in the estimate is increased. The overall posterior PDF variance reduction is guided by the posterior Cramer-Rao bound. A series of experiments is conducted to investigate the performance of the proposed method on ultrasound multi-layered soft tissue characterization. Multi-layered tissue phantoms that emulate ocular components of the eye are fabricated as test subjects. Experimental results confirm that the proposed MSF inverse scattering approach is well suited for three-dimensional ultrasound tissue characterization. In addition, performance comparisons between MSF and a state-of-the-art nonlinear stochastic filter are conducted. Results show that MSF is more accurate and less computational intensive than the state-of-the-art filter.

Rupture of atherosclerotic plaque is closely related to plaque composition. Currently, plaque composition cannot be clinically characterized by any imaging modality. The objective of this dissertation is to use a recently developed imaging modality – ultrasound-guided intravascular photoacoustic (IVPA) imaging – to detect the distribution of two critical components in atherosclerotic plaques: lipid and phagocytically active macrophages. Under the guidance of intravascular ultrasound imaging, spectroscopic IVPA imaging is capable of detecting the spatially resolving optical absorption property inside a vessel wall. In this study, contrast in spectroscopic IVPA imaging was provided by either the endogenous optical property of lipid or optically absorbing contrast agent such as gold nanoparticles (Au NPs). Using a rabbit model of atherosclerosis, this dissertation demonstrated that ultrasound guided spectroscopic IVPA imaging could simultaneously image lipid deposits as well as macrophages labeled in vivo with Au NPs. Information of macrophage activity around lipid rich plaques may help to identify rupture-prone or vulnerable plaques. The results show that ultrasound guided IVPA imaging is promising for detecting plaque composition in vivo. Clinical use of ultrasound guided IVPA imaging may significantly improve the accuracy of diagnosis and lead to more effective treatments of atherosclerosis. / text

O conhecimento do coeficiente de atenuação linear (µ) é de extrema importância para estudos de contraste em imagens de radiodiagnóstico, dose e caracterização de materiais. Parâmetros como a densidade eletrônica (?e), o número atômico médio (Z¯), entre outros, podem ser determinados a partir do coeficiente de atenuação linear em diferentes energias. A proposta deste trabalho é determinar experimentalmente coeficientes de atenuação linear de 80 amostras de tecidos mamários (classificadas previamente como tecido adiposo, tecido glandular, fibroadenoma ou carcinomas) e, posteriormente, extrair parâmetros que possibilitem a caracterização e diferenciação desses tecidos. Os coeficientes de atenuação linear foram medidos usando geometria de feixe estreito, no intervalo de energia entre 10 e 50 keV, utilizando um tubo de raios X com anodo de tungstênio (W) e um detector dispersivo em energia de Si (SDD). Dois modelos de parametrizações foram utilizadas para extrair ?e e Z¯. As metodologias de determinação de µ e de parametrização foram validadas utilizando 8 materiais equivalentes a tecido (4 soluções e 4 sólidos). Os resultados obtidos para tecidos mamários foram comparados com predições teóricas, obtidas usando a regra das misturas, e com dados experimentais previamente publicados, apresentando diferenças máximas de até 7%. Foram também estudadas as variações de µ intra- e inter-amostras de um mesmo grupo, obtendo variações máximas de 5% e 12%, respectivamente. Foi mostrado que o coeficiente de atenuação linear consegue distinguir apenas o tecido adiposo dos demais grupos de tecidos para energia menores de 24 keV. Finalmente, foi elaborado um modelo de diagnóstico, baseados nos parâmetros ?e e Z¯. As análises estatísticas mostram que 71% das amostras foram classificadas corretamente. / The knowledge of the linear attenuation coefficient (µ) is of extreme importance for radiodiagnostic image contrast studies, dose and material characterization. Parameters as electronic density (?e), average atomic number (Z¯), among others, can be determined using the linear attenuation coefficient at different energies. The purpose of this work is to experimentally determine the linear attenuation coefficient of 80 mammary tissues samples (classified as adipose tissue, glandular tissue, fibroadenoma or carcinoma) and then extract parameters that allow the characterization and differentiation of those tissues. The linear attenuation coefficients were measured using narrow bean geometry, with an energy interval between 10 and 50 keV, using a x-ray tube with a tungsten (W) anode and a Silicon energy dispersive detector (SDD). Two parameterization models were used to extract ?e and Z¯. The methodologies of determination of µ and parameterizations were validated using 8 tissue equivalent materials (4 solutions and 4 solids). The results obtained for mammary tissues were compared with theoretical predictions, using the mixture rule, and with previously published experimental data, presenting maximum differences of 7%. Intra and between samples variations of the same group were also studied, obtaining maximum variations of 5% and 12%, respectively. The linear attenuation coefficient was able to differentiate only the adipose tissue from others tissues groups, for energies below 24 keV. At last, a diagnostic model was elaborated, based on ?e and Z¯ parameters. The statistical analysis showed that 71% of the samples were correctly classified.

This study compared a manual program for liver volumetry with a semiautomated software. The hypothesis was that the software would be faster, more accurate and less dependent on the evaluator’s experience. Materials and Methods: Ten patients undergoing hemihepatectomy were included into this IRB approved study after written informed consent. All patients underwent a preoperative abdominal CTScan, which was used for whole liver volumetry and volume prediction for the liver part to be resected. Two different softwares were used: 1) manual method: borders of the liver had to be defined per slice by the user; 2) semiautomated software: automatic identification of liver volume with manual assistance for definition of Couinaud-segments. Measurements were done by six observers with different experience levels. Water displacement volumetry immediately after partial liver resection served as gold standard. The resected part was examined with a CT-scan after displacement volumetry. Results: Volumetry of the resected liver scan showed excellent correlations to water displacement volumetry (manual: ρ=0.997; semiautomated software: ρ=0.995). Difference between the predicted volume and the real volume was significantly smaller with the semiautomated software than with the manual method (33 % vs. 57 %, p=0.002). The semiautomated software was almost four times faster for volumetry of the whole liver. Conclusion: Both methods for liver volumetry give an estimated liver volume close to the real one. The tested semiautomated software is faster, more accurate in predicting the volume of the resected liver part, gives more reproducible results and is less dependent on the user’s experience. / Ziel dieser Studie war es, eine manuelle Methode zur Lebervolumetrie mit einer halbautomatischen Software zu vergleichen. Die zu prüfende Hypothese war eine Überlegenheit der halbautomatischen Software hinsichtlich Schnelligkeit, Genauigkeit und Unabhängigkeit von der Erfahrung des Auswerters. Material und Methoden: Die Studie wurde von der Ethikkommission geprüft und es lagen Einverständniserklärungen aller Patienten vor. In die Studie wurden zehn Patienten eingeschlossen, die eine Hemihepatektomie erhielten. Es wurde präoperativ ein CT-Scan angefertigt, der sowohl für die Volumetrie der gesamten Leber als auch zur Bestimmung des Resektatvolumens verwendet wurde. Für die Volumetrie wurden zwei verschiedene Programme genutzt: 1) eine manuelle Methode, wobei die Lebergrenzen in jeder Schicht vom Auswerter definiert werden mussten 2) eine halbautomatische Software mit automatischer Erkennung des Lebervolumens und manueller Definition der Lebersegmente nach Coinaud. Die Messungen wurden von sechs Auswertern mit unterschiedlicher Erfahrung vorgenommen. Als Goldstandard diente eine Verdrängungsvolumetrie des Leberresektats, die direkt nach der Resektion im Operationssaal durchgeführt wurde. Anschließend wurde zusätzlich ein CT-Scan des Resektats angefertigt. Ergebnisse: Die Ergebnisse des postoperativen CT-Scans korrelierten hochgradig mit den Ergebnissen der Verdrängungsvolumetrie (manuell: ρ=0.997; halbautomatische Software: ρ=0.995). Mit der halbautomatischen Software fielen die Unterschiede zwischen dem vorhergesagten und dem tatsächlichen Volumen signifikant kleiner aus (33 % vs. 57 %, p=0.002). Zudem lieferte die halbautomatische Software die Volumina der Gesamtleber 3.9mal schneller. Schlussfolgerung: Beide Methoden erlauben eine sehr gute Abschätzung des Lebervolumens. Die getestete halbautomatische Software kann das Lebervolumen jedoch schneller und das Resektatvolumen genauer vorhersagen und ist zusätzlich unabhängiger von der Erfahrung des Auswerters.

Ultrasound is a commonly used imaging modality in diagnosis and pre-operative assessment of breast masses. However, radiologists often find it very difficult to correctly size masses using conventional ultrasound images. Consequently, there exists a strong need for more accurate sizing tools to avoid either the removal of an over-estimated amount of tissue or a second surgical procedure to remove margins involved by tumour not removed in the primary operation. In this thesis, we propose a new method of processing the backscattered ultrasound signals from breast tissue (based on the Fourier spectral analysis) to better estimate the degree of echogenicity and generate parametric images where the visibility of breast mass boundaries is improved (SPV parametric image). Moreover, an algorithm is proposed to recover some anatomical structures (particularly, Cooper’s ligaments) which are shadowed during the image acquisition process (LWSPV parametric image). The information from both algorithms is combined to generate a final SPV+LWSPV parametric image. A 20-case pilot study was conducted on clinical data, which showed that the SPV+LWSPV parametric image added useful information to the B-mode image for clinical assessment in 85% of the cases (increase in diagnostic confidence in at least one boundary). Moreover, in 35% of the cases, the SPV+LWSPV parametric image provided a better definition of the entire boundary. Note that the radiologist knew the final diagnosis from histopathology. In addition, the SPV+LWSPV method has the advantage that it uses the I/Q data from a standard ultrasound equipment without the need for additional hardware. On the basis of these facts, we believe there to be a case for further investigation of the SPV+LWSPV imaging as a useful clinical tool in the pre-operative assessment of breast mass boundaries.

Orientadores: Eduardo Tavares Costa, Ricardo Grossi Dantas / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-07T21:03:41Z (GMT). No. of bitstreams: 1 Vivas_GustavodeCastro_M.pdf: 7295002 bytes, checksum: 6c61cdae482950b95224f30787f35db0 (MD5) Previous issue date: 2006 / Resumo: O diagnóstico médico por ultra-som vem sendo amplamente difundido, tornando-se referência em muitos exames clínicos, destacando-se as imagens em modo-B, capazes de representar a anatomia de tecidos e órgãos de forma não-invasiva, em tempo real e sem a utilização de radiação ionizante. Entretanto, o speckle, artefato inerente aos sistemas que utilizam fontes coerentes como nos sistemas de ultra-som, degrada a qualidade das imagens, podendo reduzir bastante a capacidade de detecção de lesões pelo médico. A caracterização de tecidos por ultra-som visa extrair informações de relevância clínica sobre as reais características da estrutura biológica sob investigação e que não podem ser facilmente percebidas por inspeção visual. Neste trabalho foi realizado um estudo comparativo entre os principais modelos de distribuição estatística encontrados na literatura e adotados na caracterização de tecidos por ultra-som. Foram utilizadas funções densidade de probabilidade que melhor representassem o padrão de brilho existente em uma dada região de uma imagem. Os resultados indicaram a versatilidade da distribuição Composta (K-Nakagami) em modelar diferentes condições de espalhamento existentes nos tecidos, mostrando-se uma forte candidata para a caracterização de tecidos por ultra-som. Entretanto, usando o conceito de espalhadores equivalentes, pôde ser mostrado que a abordagem estatística utilizada não fornece parâmetros quantitativos conclusivos sobre a estrutura investigada, mas uma contribuição conjunta de vários fatores, entre eles a densidade e a distribuição de amplitudes dos espalhadores acústicos / Abstract: Ultrasound medical diagnosis has been widely used and has become a reference in many clinical examinations, especially B-mode imaging, capable of representing tissue and organ anatomy without ionizing radiation in a non-invasive way and in real-time. However, speckle, an inherent artifact of systems that use coherent sources like ultrasound systems, degrades image quality, leading to subjective and possibly misleading diagnostics. Ultrasonic tissue characterization aims to extract clinical relevant information of the biological structure characteristics under investigation and that cannot be easily achieved by visual inspection. In this dissertation it was carried out a comparative study of the most popular models of statistics distributions found in literature and commonly adopted in ultrasonic tissue characterization. It has been used probability density functions that better represented the brightness pattern of a given region of an ultrasound image. The results indicated the versatility of the Compound distribution (K-Nakagami) in modeling different scattering conditions of tissues, revealing itself a good model for use in ultrasonic tissue characterization. However, using the concept of equivalent scatterers, it could be shown that the statistics approach does not supply conclusive quantitative parameters of the structure under investigation, being a joint contribution of many factors such as density and amplitude distribution of the acoustic scatterers / Mestrado / Engenharia Biomedica / Mestre em Engenharia Elétrica

No description available.

Sistemas ultrassônicos tiveram uma evolução tecnológica nos últimos anos e isso permitiu que seus recursos de hardware e software pudessem ser explorados para extrair informações, auxiliando em diagnósticos e tratamentos mais eficazes. Através da análise do comportamento mecânico de tecidos moles, técnicas como elastografia estática, vibroacustografia, elastografia transiente e elastografia remota tiveram seu papel reconhecido na complementação do diagnóstico clínico. Contudo, a propagação destas técnicas na medicina tem sido restringida pela acessibilidade às tecnologias utilizadas, ausências de parâmetros quantitativos, dificuldade da excitação em estruturas profundas e acesso a informações em níveis moleculares. Este estudo aborda o desenvolvimento de um protocolo para efetuar medidas quantitativas de viscoelasticidade em tecidos moles marcados com nanopartículas de óxido de ferro usando excitação magnética e medição ultrassônica. Ao aplicar uma força magnética pulsada em um meio fluido marcado com nanopartículas magnéticas, um movimento é induzido, gerando uma onda de cisalhamento que se propaga pelo tecido. A propagação dessa onda é mapeada usando a técnica de ultrassom pulso-eco e processamento de dados usando métricas de similaridades entre ecos (mapa de rf) consecutivos. Nos estudos realizados em mimetizadores de tecidos moles (phantom) com características mecânicas equivalentes ao tecido biológico, a amplitude de deslocamento dessas ondas é da ordem de micrometro. Através da medida da velocidade deslocamento dessa onda avaliou-se o melhor modelo reológico para quantificar os parâmetros mecânicos de viscosidade e elasticidade. Os resultados mostraram a eficiência desta técnica ao quantificar os valores viscoelásticos condizentes com a literatura e a comprovação da análise de tecidos moles marcado com nanopartículas excitadas com campo magnético de baixa intensidade, possibilitando uma avaliação em âmbito molecular em tecidos moles. / Ultrasonic systems had a technological development in recent years and allowed their hardware and software resources could be exploited to extract information, assisting in more effective diagnosis and treatment. Through the mechanical behavior analysis of soft tissue techniques such as static elastography, vibroacoustography, transient elastography and remote elastography had recognized role in complementing clinical diagnosis. However, the spread of these techniques in medicine has been restricted by accessibility to the technologies used, quantitative parameters absences, difficulty of deep structures access and information on molecular levels. This study addresses the development of a protocol to make quantitative measurements of viscoelastic soft tissue labeled with iron oxide nanoparticles using magnetic excitation and ultrasonic measurement. By applying a pulsed magnetic force in a fluid medium labeled with magnetic nanoparticles, a motion is induced, generating a shear wave that propagates through the tissue. The propagation of this wave is mapped using the pulse-echo ultrasound technique and data processing using similarities measurements between echoes (rf map) consecutive. In studies of soft tissue-mimicking phantom with mechanical properties equivalent to the biological tissue, the displacement amplitude of these waves is of micrometer order. By measuring the shear wave velocity, it was evaluated the best rheological model for quantifying mechanical parameters of viscosity and elasticity. The results showed the efficiency of this technique to quantify the viscoelastic values consistent with the literature and the evidence of soft tissue analysis labeled excited nanoparticles with low intensity magnetic field, providing an assessment on the molecular level in soft tissues.

La cartographie du temps de relaxation longitudinale T1 est une technique d'IRM quantitative pour caractériser les tissus myocardiques. Plusieurs études ont déjà montré la corrélation entre la mesure de T1 et la présence de fibrose. Celle-ci est souvent observée dans les pathologies cardiaques telles que les cardiomyopathies ou l'infarctus du myocarde. Cependant, l'acquisition d'une carte T1 du coeur reste techniquement difficile. Actuellement, la quantification T1 du myocarde humain est réalisée en apnée à l'aide de séquences 2D qui sont spécifiques aux constructeurs et donc peu disponibles. Afin de pallier aux limitations de ces séquences, nous proposons une méthode basée sur une séquence 3D clinique. Cette technique, utilisant la variation des angles de bascule avec intégration d'une correction B1, a été adaptée pour une utilisation en imagerie cardiaque. Des essais sur fantôme ont permis de sélectionner les paramètres optimaux et de montrer la reproductibilité de la méthode. Puis, une étude sur volontaires sains a permis de valider la méthode en double synchronisation (cardiaque et respiratoire). Enfin, une méthode de reconstruction intégrant des signaux physiologiques de mouvement a également été utilisée afin de faire de la quantification T1 en respiration libre et de diminuer le temps d'acquisition. Les valeurs de T1 myocardique sur volontaires sont comprises entre 1289 ± 66 ms et 1376 ± 43 ms, correspondant aux valeurs de la littérature. Ces travaux ouvrent la voie à l'utilisation de la cartographie T1 chez les patients avec pour objectifs une meilleure caractérisation des pathologies et une meilleure adaptation des stratégies thérapeutiques / T1 mapping is a useful quantitative MR technique for cardiac tissue characterization. Several studies have shown that T1 measurements are correlated with fibrosis, which is observed in cardiac diseases such as cardiomyopathy or myocardial infarction. However, cardiac T1 mapping remains challenging, mainly because of long acquisition times and interference from cardiac and respiratory motions. T1 quantification on the human myocardium is generally performed on breath-hold with 2D specific sequences. Unfortunately these sequences are scanner specific and poorly available for clinical use. To overcome these limitations, we propose a new method based on a 3D clinical sequence. This technique, using a variable flip angle approach that integrates B1 correction, was adapted in cardiac imaging. Phantom tests were used to select the optimal parameters and to show the method reproducibility. Then, the method was validated with a volunteer study using double synchronization (cardiac and respiratory). Moreover, a reconstruction method integrating physiological signals of motion was also used to perform T1 quantification in free breathing and to reduce the total acquisition time. The myocardial T1 values on volunteers ranged between 1289 ± 66 ms and 1376 ± 43 ms, which was in good agreement with previously published works. These studies allow the use of T1 mapping in patients with better characterization of pathologies and a better adaptation to therapeutic strategies

Sistemas ultrassônicos tiveram uma evolução tecnológica nos últimos anos e isso permitiu que seus recursos de hardware e software pudessem ser explorados para extrair informações, auxiliando em diagnósticos e tratamentos mais eficazes. Através da análise do comportamento mecânico de tecidos moles, técnicas como elastografia estática, vibroacustografia, elastografia transiente e elastografia remota tiveram seu papel reconhecido na complementação do diagnóstico clínico. Contudo, a propagação destas técnicas na medicina tem sido restringida pela acessibilidade às tecnologias utilizadas, ausências de parâmetros quantitativos, dificuldade da excitação em estruturas profundas e acesso a informações em níveis moleculares. Este estudo aborda o desenvolvimento de um protocolo para efetuar medidas quantitativas de viscoelasticidade em tecidos moles marcados com nanopartículas de óxido de ferro usando excitação magnética e medição ultrassônica. Ao aplicar uma força magnética pulsada em um meio fluido marcado com nanopartículas magnéticas, um movimento é induzido, gerando uma onda de cisalhamento que se propaga pelo tecido. A propagação dessa onda é mapeada usando a técnica de ultrassom pulso-eco e processamento de dados usando métricas de similaridades entre ecos (mapa de rf) consecutivos. Nos estudos realizados em mimetizadores de tecidos moles (phantom) com características mecânicas equivalentes ao tecido biológico, a amplitude de deslocamento dessas ondas é da ordem de micrometro. Através da medida da velocidade deslocamento dessa onda avaliou-se o melhor modelo reológico para quantificar os parâmetros mecânicos de viscosidade e elasticidade. Os resultados mostraram a eficiência desta técnica ao quantificar os valores viscoelásticos condizentes com a literatura e a comprovação da análise de tecidos moles marcado com nanopartículas excitadas com campo magnético de baixa intensidade, possibilitando uma avaliação em âmbito molecular em tecidos moles. / Ultrasonic systems had a technological development in recent years and allowed their hardware and software resources could be exploited to extract information, assisting in more effective diagnosis and treatment. Through the mechanical behavior analysis of soft tissue techniques such as static elastography, vibroacoustography, transient elastography and remote elastography had recognized role in complementing clinical diagnosis. However, the spread of these techniques in medicine has been restricted by accessibility to the technologies used, quantitative parameters absences, difficulty of deep structures access and information on molecular levels. This study addresses the development of a protocol to make quantitative measurements of viscoelastic soft tissue labeled with iron oxide nanoparticles using magnetic excitation and ultrasonic measurement. By applying a pulsed magnetic force in a fluid medium labeled with magnetic nanoparticles, a motion is induced, generating a shear wave that propagates through the tissue. The propagation of this wave is mapped using the pulse-echo ultrasound technique and data processing using similarities measurements between echoes (rf map) consecutive. In studies of soft tissue-mimicking phantom with mechanical properties equivalent to the biological tissue, the displacement amplitude of these waves is of micrometer order. By measuring the shear wave velocity, it was evaluated the best rheological model for quantifying mechanical parameters of viscosity and elasticity. The results showed the efficiency of this technique to quantify the viscoelastic values consistent with the literature and the evidence of soft tissue analysis labeled excited nanoparticles with low intensity magnetic field, providing an assessment on the molecular level in soft tissues.