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Cholangiography Using 64-Multi-Detector Row Computed Tomography in the Normal DogMiller, Jennifer Wooley 17 May 2014 (has links)
Hepatobiliary disease can sometimes be difficult to diagnosis due to non-specific clinical signs, and diagnostic imaging is a vital tool in diagnosing these diseases. Multi-slice computed tomographic cholangiography (MSCTC) is a non-invasive way to obtain high quality images of the hepatobiliary system. Our objectives were to determine the best technique for performing MSCTC in normal dogs with regards to contrast agent, dose, and optimal time to imaging. Our test subjects included eight normal adult hounds. Four dogs were administered Cholografin and the other four Biliscopin. Two dose groups were established with four dogs receiving 0.5mL/kg and four receiving 1 mL/kg. Our results demonstrated that MSCTC is feasible in normal dogs and produces high quality images of the hepatobiliary system. The contrast agent Biliscopin at the higher dose subjectively produced the best quality images. The optimal time to image patients following contrast administration varied between contrast agents (15-60 minutes).
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Imaging of 3D patterns of slow flow in porous mediaWang, Jie, Haber-Pohlmeier, S., Pohlmeier, A., Pitman, Kira, Chan, Audrey, Galvosas, P. 06 February 2020 (has links)
This contribution will report on further challenges if STEMSI is used for the acquisition of water
transport in a heterogeneous root phantom and around the roots of a life plant system. While a 3D MRI
image of the root system with sufficient spatial resolution is necessary it is also important to obtain the
full 3D information of the velocity vector for the water movement in the vicinity of the plant roots.
These requirements need to be balanced against the necessary acquisition time for this 6D data set since
the plant is growing and therefore changing its root system over time. To meet this requirement the
concepts for Stimulated Echo Acquisition Mode (STEAM) [4] have been fully incorporated into the
STEMSI method, thus enabling rapid multi-slice acquisition while retaining sufficient signal to noise
ratios.
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Estudo de comportamento de fluxo através de modelo físico e computacional de aneurisma de aorta infra-renal obtido por tomografia. / Flow behavior study through physical and computacional model of infrarenal aortic aneurysm obtained by tomography.Legendre, Daniel Formariz 06 February 2009 (has links)
Aneurisma de Aorta Abdominal (AAA) é definido como uma dilatação localizada e permanente da parede arterial, geralmente com ocorrência entre as artérias renais e as ilíacas, como conseqüência do enfraquecimento dessa parede ou devido a uma solicitação anormal sobre sua estrutura normal. Essa afecção acomete principalmente a população idosa acima de 65 anos de idade, tendo como principais fatores de risco: tabagismo, hipertensão arterial, histórico familiar e doença obstrutiva crônica pulmonar. A prevalência está aumentando nos últimos anos, havendo uma duplicação dos casos diagnosticados nos Estados Unidos (Bonamigo e Von Ristow, 1999). Hoje o AAA é a 13ª causa de morte nos Estados Unidos, em homens com mais de 65 anos e no caso de aneurisma roto, é a 3ª causa de morte súbita nos Estados Unidos. A mortalidade global do AAA roto está em torno de 80% nos países que têm verificação sistemática e compulsória da causa de óbitos. Isto ocorre devido ao fato de uma hemorragia substancial intra-abdominal geralmente ser acompanhada de atraso no transporte e diagnóstico, e da necessidade de cirurgia de emergência em pacientes idosos que, freqüentemente, tem uma significativa comorbidade renal e cardiopulmonar. Acredita-se que a formação e o crescimento do aneurisma de aorta abdominal são acompanhados do crescimento da tensão na parede da aorta e/ou de uma diminuição da capacidade do tecido de suportar tal tensão. A ruptura ocorre quando a tensão atuante na parede excede a tensão que pode ser suportada pelo tecido. O risco de ruptura aumenta com o crescimento do tamanho do aneurisma, da tensão na parede e é agravado quando associado à hipertensão arterial. No estudo foram obtidos dados morfológicos da região torácica de um paciente com a utilização de tomografia computadorizada multi-fatias. Essas imagens DICOM (Comunicação de Imagens Digitais em Medicina) foram tratadas para selecionar apenas a região de interesse, obtendo-se um modelo tridimensional da aorta infra-renal e artérias ilíacas. A partir daí, foi confeccionado um modelo físico com a utilização de prototipagem rápida. Um simulador cardiovascular controlado por computador foi desenvolvido com o intuito de replicar características fisiológicas e patológicas do sistema cardiovascular humano. Esse modelo de aneurisma foi utilizado para simulação em bancada experimental, onde é possível reproduzir alguns parâmetros como pressão, fluxo, temperatura, resistência e complacência vascular. Também foi gerado um modelo computacional onde os parâmetros obtidos na simulação in vitro foram utilizados como condição de contorno inicial para o estudo computacional. Foram adotados padrões normotenso e hipertenso, e os resultados computacionais e experimentais foram analisados e comparados. O trabalho propõe uma metodologia que possibilite a obtenção de dados anatômicos e hemodinâmicos relativos ao segmento arterial acometido pela afecção, com o objetivo de fornecer informações adicionais no diagnóstico do aneurisma de aorta. / Abdominal Aortic Aneurysm (AAA) is defined as a focal and permanent dilatation of the arterial wall, most often occurring in between the renal and iliac arteries, as consequence of arterial wall weakness or because of an abnormal solicitation of that normal structure. This disease primarily affects elderly population over 65 years of age, and the most important risk factors are smoking, hypertension, family history and chronic obstructive pulmonary disease. In the last years, the prevalence is rising up almost twice the diagnosed cases in the United States (Bonamigo and Von Ristow, 1999). Nowadays, AAA is the thirtieth cause of death in the United States, in the elderly masculine population over 65 years of age, and in case of ruptured aneurysm, it is the third cause of sudden death in the United States. The overall mortality rate is about 80% in countries with systematic and compulsory evaluation of death cause. This is due to the fact that substantial intra-abdominal hemorrhage is often accompanied by delays in transport and diagnoses, and the need for emergency surgery in elderly patients that frequently have significant renal and cardiopulmonary comorbidity. It is suggested that the formation and expansion of the AAA are accompanied by wall stress increasing and / or decreasing in the tissue capacity to withstand this stress. The rupture occurs when the wall stress exceed the stress the tissue can accept. The risk of rupture increases with aneurysm expansion, wall stress increasing and it is exacerbated when associated with arterial hypertension. In the present work, morphological data from thoracic region of the patient was acquired by using multi-slice CT (Computed Tomography). These DICOM images had been treated to select only the interest region, getting a three-dimensional infra-renal aortic and iliac model. Then, it was made a physical model by using rapid prototyping. This model was used for in vitro experimentation in a computer controlled mock system, in which it is possible to replicate physiological and pathological characteristics of human being cardiovascular system. Some parameters such as pressure, flow, temperature, vascular resistance and compliance can be reproduced by the use of a mock circulatory system. These parameters were used as initial boundary conditions in order to calibrate a computational model. It was adopted normotensive and hypertensive patterns and computational and experimental results were analyzed and compared. The paper proposes a methodology which allows the acquisition of anatomical and hemodynamic data on the vessel segment affected by the pathology, with the goal of providing additional information in the diagnosis of aortic aneurysm.
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Estudo de comportamento de fluxo através de modelo físico e computacional de aneurisma de aorta infra-renal obtido por tomografia. / Flow behavior study through physical and computacional model of infrarenal aortic aneurysm obtained by tomography.Daniel Formariz Legendre 06 February 2009 (has links)
Aneurisma de Aorta Abdominal (AAA) é definido como uma dilatação localizada e permanente da parede arterial, geralmente com ocorrência entre as artérias renais e as ilíacas, como conseqüência do enfraquecimento dessa parede ou devido a uma solicitação anormal sobre sua estrutura normal. Essa afecção acomete principalmente a população idosa acima de 65 anos de idade, tendo como principais fatores de risco: tabagismo, hipertensão arterial, histórico familiar e doença obstrutiva crônica pulmonar. A prevalência está aumentando nos últimos anos, havendo uma duplicação dos casos diagnosticados nos Estados Unidos (Bonamigo e Von Ristow, 1999). Hoje o AAA é a 13ª causa de morte nos Estados Unidos, em homens com mais de 65 anos e no caso de aneurisma roto, é a 3ª causa de morte súbita nos Estados Unidos. A mortalidade global do AAA roto está em torno de 80% nos países que têm verificação sistemática e compulsória da causa de óbitos. Isto ocorre devido ao fato de uma hemorragia substancial intra-abdominal geralmente ser acompanhada de atraso no transporte e diagnóstico, e da necessidade de cirurgia de emergência em pacientes idosos que, freqüentemente, tem uma significativa comorbidade renal e cardiopulmonar. Acredita-se que a formação e o crescimento do aneurisma de aorta abdominal são acompanhados do crescimento da tensão na parede da aorta e/ou de uma diminuição da capacidade do tecido de suportar tal tensão. A ruptura ocorre quando a tensão atuante na parede excede a tensão que pode ser suportada pelo tecido. O risco de ruptura aumenta com o crescimento do tamanho do aneurisma, da tensão na parede e é agravado quando associado à hipertensão arterial. No estudo foram obtidos dados morfológicos da região torácica de um paciente com a utilização de tomografia computadorizada multi-fatias. Essas imagens DICOM (Comunicação de Imagens Digitais em Medicina) foram tratadas para selecionar apenas a região de interesse, obtendo-se um modelo tridimensional da aorta infra-renal e artérias ilíacas. A partir daí, foi confeccionado um modelo físico com a utilização de prototipagem rápida. Um simulador cardiovascular controlado por computador foi desenvolvido com o intuito de replicar características fisiológicas e patológicas do sistema cardiovascular humano. Esse modelo de aneurisma foi utilizado para simulação em bancada experimental, onde é possível reproduzir alguns parâmetros como pressão, fluxo, temperatura, resistência e complacência vascular. Também foi gerado um modelo computacional onde os parâmetros obtidos na simulação in vitro foram utilizados como condição de contorno inicial para o estudo computacional. Foram adotados padrões normotenso e hipertenso, e os resultados computacionais e experimentais foram analisados e comparados. O trabalho propõe uma metodologia que possibilite a obtenção de dados anatômicos e hemodinâmicos relativos ao segmento arterial acometido pela afecção, com o objetivo de fornecer informações adicionais no diagnóstico do aneurisma de aorta. / Abdominal Aortic Aneurysm (AAA) is defined as a focal and permanent dilatation of the arterial wall, most often occurring in between the renal and iliac arteries, as consequence of arterial wall weakness or because of an abnormal solicitation of that normal structure. This disease primarily affects elderly population over 65 years of age, and the most important risk factors are smoking, hypertension, family history and chronic obstructive pulmonary disease. In the last years, the prevalence is rising up almost twice the diagnosed cases in the United States (Bonamigo and Von Ristow, 1999). Nowadays, AAA is the thirtieth cause of death in the United States, in the elderly masculine population over 65 years of age, and in case of ruptured aneurysm, it is the third cause of sudden death in the United States. The overall mortality rate is about 80% in countries with systematic and compulsory evaluation of death cause. This is due to the fact that substantial intra-abdominal hemorrhage is often accompanied by delays in transport and diagnoses, and the need for emergency surgery in elderly patients that frequently have significant renal and cardiopulmonary comorbidity. It is suggested that the formation and expansion of the AAA are accompanied by wall stress increasing and / or decreasing in the tissue capacity to withstand this stress. The rupture occurs when the wall stress exceed the stress the tissue can accept. The risk of rupture increases with aneurysm expansion, wall stress increasing and it is exacerbated when associated with arterial hypertension. In the present work, morphological data from thoracic region of the patient was acquired by using multi-slice CT (Computed Tomography). These DICOM images had been treated to select only the interest region, getting a three-dimensional infra-renal aortic and iliac model. Then, it was made a physical model by using rapid prototyping. This model was used for in vitro experimentation in a computer controlled mock system, in which it is possible to replicate physiological and pathological characteristics of human being cardiovascular system. Some parameters such as pressure, flow, temperature, vascular resistance and compliance can be reproduced by the use of a mock circulatory system. These parameters were used as initial boundary conditions in order to calibrate a computational model. It was adopted normotensive and hypertensive patterns and computational and experimental results were analyzed and compared. The paper proposes a methodology which allows the acquisition of anatomical and hemodynamic data on the vessel segment affected by the pathology, with the goal of providing additional information in the diagnosis of aortic aneurysm.
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The multislice method in transmission electron microscopy simulation : An implementation in the TEM-simulator software packageNarangifard, Ali January 2013 (has links)
This report introduces the multislice method for modeling the interaction between an electron and the atoms in the specimen (electron-specimen interaction). The multislice method is an approximation to the full quantum mechanical model for this interaction. After introducing the theory, we discuss how the multislice method is implemented and integrated into TEM-simulator, a software for simulation of Transmission Electron Microscope (TEM) images.
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Diffusion-weighted magnetic resonance imaging with readout-segmented echo-planar imagingFrost, Stephen Robert January 2012 (has links)
Diffusion-weighted (DW) magnetic resonance imaging is an important neuroimaging technique that has successful applications in diagnosis of ischemic stroke and methods based on diffusion tensor imaging (DTI). Tensor measures have been used for detecting changes in tissue microstructure and for non-invasively tracing white matter connections in vivo. The most common image acquistion strategy is to use a DW single-shot echo-planar imaging (ss-EPI) pulse sequence, which is attractive due to its robustness to motion artefacts and high imaging speed. However, this sequence has limited achievable spatial resolution and suffers from geometric distortion and blurring artefacts. Readout-segmented echo-planar imaging (rs-EPI) is a DW sequence that is capable of acquiring high-resolution images by segmenting the acquisition of k- space into multiple shots. The fast, short readouts reduce distortion and blurring and the problem of artefacts due to motion-induced phase changes between shots can be overcome with navigator techniques. The rs-EPI sequence has two main shortcomings. (i) The method is slow to produce image volumes, which is limiting for clinical scans due to patient welfare and prevents us from acquiring very many directions in DTI. (ii) The sequence (like other diffusion techniques) is far from the optimum repetition time (TR) for acquiring data with the highest possible signal-to-noise ratio (SNR) in a given time. The work in this thesis seeks to address both of these important issues using a range of approaches. In Chapter 4 a partial Fourier extension is presented, which addresses point (i) by reducing the number of readout segments acquired and estimating the missing data. This allows reductions in scan time by approximately 40% and the reliability of the images is demonstrated in comparisons with the original images. The application of a simultaneous multi-slice scheme to rs-EPI, to address points (i) and (ii), is described in Chapter 5. Using the slice-accelerated rs-EPI sequence, tractography data were compared to ss-EPI data and high-resolution trace-weighted data were acquired in clinically relevant scan times. Finally, a 3D multi-slab extension that addresses point (i) is presented in Chapter 6. A 3D sequence could also allow higher resolution in the slice direction than 2D multi-slice methods, which are limited by the difficulties in exciting thin, accurate slices. A 3D version of rs-EPI was simulated and implemented and a k-space acquisition synchronised to the cardiac cycle showed substantial improvements in image artefacts compared to a conventional k-space acquisition.
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Model víceotáčkového motoru a simulace v programu ANSYS Maxwell / FEM model and simulation of induction motor with pole-changing windingZáškodný, Jiří January 2018 (has links)
This master thesis deals with calculations and simulations of multi-speed induction motors. In the first part, basic principle of these machines is described. Next, there are given three examples of pole-changing stator windings and their properties are analyzed (winding factors, magnetomotive force). Main part includes simulations and measuring of the specific motor, which is produced by company Siemens Mohelnice. This is the motor with 2/1 pole-changing in Y/YY connection. First, influence of skewed rotor slots on current and torque is analyzed. Next, parametres of motor from simulations are given and these results are compared to measured values.
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Fast and Robust Multi-Dimensional Cardiac Magnetic Resonance ImagingRosenzweig, Sebastian 10 June 2020 (has links)
No description available.
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