Matching Items (399)
Description
Magnetic Resonance Imaging using spiral trajectories has many advantages in speed, efficiency in data-acquistion and robustness to motion and flow related artifacts. The increase in sampling speed, however, requires high performance of the gradient system. Hardware inaccuracies from system delays and eddy currents can cause spatial and temporal distortions in the encoding gradient waveforms. This causes sampling discrepancies between the actual and the ideal k-space trajectory. Reconstruction assuming an ideal trajectory can result in shading and blurring artifacts in spiral images. Current methods to estimate such hardware errors require many modifications to the pulse sequence, phantom measurements or specialized hardware. This work presents a new method to estimate time-varying system delays for spiral-based trajectories. It requires a minor modification of a conventional stack-of-spirals sequence and analyzes data collected on three orthogonal cylinders. The method is fast, robust to off-resonance effects, requires no phantom measurements or specialized hardware and estimate variable system delays for the three gradient channels over the data-sampling period. The initial results are presented for acquired phantom and in-vivo data, which show a substantial reduction in the artifacts and improvement in the image quality.
ContributorsBhavsar, Payal (Author) / Pipe, James G (Thesis advisor) / Frakes, David (Committee member) / Kodibagkar, Vikram (Committee member) / Arizona State University (Publisher)
Created2013
Description
The end of the nineteenth century was an exhilarating and revolutionary era for the flute. This period is the Second Golden Age of the flute, when players and teachers associated with the Paris Conservatory developed what would be considered the birth of the modern flute school. In addition, the founding in 1871 of the Société Nationale de Musique by Camille Saint-Saëns (1835-1921) and Romain Bussine (1830-1899) made possible the promotion of contemporary French composers. The founding of the Société des Instruments à Vent by Paul Taffanel (1844-1908) in 1879 also invigorated a new era of chamber music for wind instruments. Within this groundbreaking environment, Mélanie Hélène Bonis (pen name Mel Bonis) entered the Paris Conservatory in 1876, under the tutelage of César Franck (1822-1890). Many flutists are dismayed by the scarcity of repertoire for the instrument in the Romantic and post-Romantic traditions; they make up for this absence by borrowing the violin sonatas of Gabriel Fauré (1845-1924) and Franck. The flute and piano works of Mel Bonis help to fill this void with music composed originally for flute. Bonis was a prolific composer with over 300 works to her credit, but her works for flute and piano have not been researched or professionally recorded in the United States before the present study. Although virtually unknown today in the American flute community, Bonis's music received much acclaim from her contemporaries and deserves a prominent place in the flutist's repertoire. After a brief biographical introduction, this document examines Mel Bonis's musical style and describes in detail her six works for flute and piano while also offering performance suggestions.
ContributorsDaum, Jenna Elyse (Author) / Buck, Elizabeth (Thesis advisor) / Holbrook, Amy (Committee member) / Micklich, Albie (Committee member) / Schuring, Martin (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2013
Description
Sensitivity is a fundamental challenge for in vivo molecular magnetic resonance imaging (MRI). Here, I improve the sensitivity of metal nanoparticle contrast agents by strategically incorporating pure and doped metal oxides in the nanoparticle core, forming a soluble, monodisperse, contrast agent with adjustable T2 or T1 relaxivity (r2 or r1). I first developed a simplified technique to incorporate iron oxides in apoferritin to form "magnetoferritin" for nM-level detection with T2- and T2* weighting. I then explored whether the crystal could be chemically modified to form a particle with high r1. I first adsorbed Mn2+ ions to metal binding sites in the apoferritin pores. The strategic placement of metal ions near sites of water exchange and within the crystal oxide enhance r1, suggesting a mechanism for increasing relaxivity in porous nanoparticle agents. However, the Mn2+ addition was only possible when the particle was simultaneously filled with an iron oxide, resulting in a particle with a high r1 but also a high r2 and making them undetectable with conventional T1-weighting techniques. To solve this problem and decrease the particle r2 for more sensitive detection, I chemically doped the nanoparticles with tungsten to form a disordered W-Fe oxide composite in the apoferritin core. This configuration formed a particle with a r1 of 4,870mM-1s-1 and r2 of 9,076mM-1s-1. These relaxivities allowed the detection of concentrations ranging from 20nM - 400nM in vivo, both passively injected and targeted to the kidney glomerulus. I further developed an MRI acquisition technique to distinguish particles based on r2/r1, and show that three nanoparticles of similar size can be distinguished in vitro and in vivo with MRI. This work forms the basis for a new, highly flexible inorganic approach to design nanoparticle contrast agents for molecular MRI.
ContributorsClavijo Jordan, Maria Veronica (Author) / Bennett, Kevin M (Thesis advisor) / Kodibagkar, Vikram (Committee member) / Sherry, A Dean (Committee member) / Wang, Xiao (Committee member) / Yarger, Jeffery (Committee member) / Arizona State University (Publisher)
Created2012
ContributorsMatthews, Eyona (Performer) / Yoo, Katie Jihye (Performer) / Roubison, Ryan (Performer) / ASU Library. Music Library (Publisher)
Created2018-03-25
Description
The objective of this small animal pre-clinical research project was to study quantitatively the long-term micro- and macro- structural brain changes employing multiparametric MRI (Magnetic Resonance Imaging) techniques. Two separate projects make up the basis of this thesis. The first part focuses on obtaining prognostic information at early stages in the case of Traumatic Brain Injury (TBI) in rat animal model using imaging data acquired at 24-hours and 7-days post injury. The obtained parametric T2 and diffusion values from DTI (Diffusion Tensor Imaging) showed significant deviations in the signal intensities from the control and were potentially useful as an early indicator of the severity of post-traumatic injury damage. DTI was especially critical in distinguishing between the cytotoxic and vasogenic edema and in identification of injury regions resolving to normal control values by day-7. These results indicate the potential of quantitative MRI as a clinical marker in predicting prognosis following TBI. The second part of this thesis focuses on studying the effect of novel therapeutic strategies employing dendritic cell (DC) based vaccinations in mice glioma model. The treatment cohorts included comparing a single dose of Azacytidine drug vs. mice getting three doses of drug per week. Another cohort was used as an untreated control group. The MRI results did not show any significant changes in between the two treated cohorts with no reduction in tumor volumes compared to the control group. The future studies would be focused on issues regarding the optimal dose for the application of DC vaccine. Together, the quantitative MRI plays an important role in the prognosis and diagnosis of the above mentioned pathologies, providing essential information about the anatomical location, micro-structural tissue environment, lesion volume and treatment response.
ContributorsAnnaldas, Bharat (Author) / Kodibagkar, Vikram (Thesis advisor) / Stabenfeldt, Sarah (Committee member) / Bhardwaj, Ratan (Committee member) / Arizona State University (Publisher)
Created2014
ContributorsHoeckley, Stephanie (Performer) / Lee, Juhyun (Performer) / ASU Library. Music Library (Publisher)
Created2018-03-24
Description
The central theme of this dissertation is to understand the chemical processing science of advanced ceramic materials for biomedicine, including therapy and imaging. The secondary component focuses on the chemical processing of energy materials.
Recently, layered double hydroxide (LDH) nanoparticles (NPs) with various intercalated compounds (e.g. fluorescent molecules, radio-labeled ATP, vitamins, DNA, and drugs) have exhibited versatility and promise as a combined therapeutic and diagnostic (i.e. theranostic) vector. However, its eventual acceptance in biomedicine will be contingent on understanding the processing science, reproducibly synthesizing monodispersed NPs with controlled mean particle size (MPS), and ascertaining the efficacy of the NPs for drug delivery and imaging. First, statistical design of experiments were used to optimize the wet chemistry synthesis of (Zn, Al)-LDH NPs. A synthesis model, which allows the synthesis of nearly monodispersed NPs with controlled MPS, was developed and experimentally verified. Also, the evolution of the nanostructure was characterized, from coprecipitation to hydrothermal treatment, to identify the formation mechanisms. Next, the biocompatibility, cellular uptake and drug delivery capability of LDH NPs were studied. In an in vitro study, using cultured pancreatic adenocarcinoma BXPC3 cells, valproate-intercalated LDH NPs showed an improved efficacy (~50 fold) over the sodium valproate alone. Finally, Gd(DTPA)-intercalated LDH NPs were synthesized and characterized by proton (1H) nuclear magnetic resonance. The longitudinal relaxivity (r1) of 28.38 s-1 mM-1, which is over 6 times higher than the clinically approved contrast agent, Gd(DTPA), demonstrated the potential of this vector for use in magnetic resonance imaging.
Visible light-transparent single metal-semiconductor junction devices, which convert ultraviolet photon energy into high open circuit voltage (Voc>1.5-2 V), are highly desirable for transparent photovoltaics that can potentially power an electrochromic stack for smart windows. A Schottky junction solar cell, comprised of sputtered ZnO/ZnS heterojunction with Cr/Au contacts, was fabricated and an Voc of fî1.35 V was measured. Also, a low-cost route to form ZnO/ZnS heterojunctions by partial sulfurization of solution-grown ZnO thin films (350 nm-5 fÝm thick; conductivity comparable to phosphorus-doped Si) was demonstrated. A final study was on a cathode material for Li-ion batteries. Phase-pure LiFePO4 powders were synthesized by microwave-assisted sol-gel method and characterized.
Recently, layered double hydroxide (LDH) nanoparticles (NPs) with various intercalated compounds (e.g. fluorescent molecules, radio-labeled ATP, vitamins, DNA, and drugs) have exhibited versatility and promise as a combined therapeutic and diagnostic (i.e. theranostic) vector. However, its eventual acceptance in biomedicine will be contingent on understanding the processing science, reproducibly synthesizing monodispersed NPs with controlled mean particle size (MPS), and ascertaining the efficacy of the NPs for drug delivery and imaging. First, statistical design of experiments were used to optimize the wet chemistry synthesis of (Zn, Al)-LDH NPs. A synthesis model, which allows the synthesis of nearly monodispersed NPs with controlled MPS, was developed and experimentally verified. Also, the evolution of the nanostructure was characterized, from coprecipitation to hydrothermal treatment, to identify the formation mechanisms. Next, the biocompatibility, cellular uptake and drug delivery capability of LDH NPs were studied. In an in vitro study, using cultured pancreatic adenocarcinoma BXPC3 cells, valproate-intercalated LDH NPs showed an improved efficacy (~50 fold) over the sodium valproate alone. Finally, Gd(DTPA)-intercalated LDH NPs were synthesized and characterized by proton (1H) nuclear magnetic resonance. The longitudinal relaxivity (r1) of 28.38 s-1 mM-1, which is over 6 times higher than the clinically approved contrast agent, Gd(DTPA), demonstrated the potential of this vector for use in magnetic resonance imaging.
Visible light-transparent single metal-semiconductor junction devices, which convert ultraviolet photon energy into high open circuit voltage (Voc>1.5-2 V), are highly desirable for transparent photovoltaics that can potentially power an electrochromic stack for smart windows. A Schottky junction solar cell, comprised of sputtered ZnO/ZnS heterojunction with Cr/Au contacts, was fabricated and an Voc of fî1.35 V was measured. Also, a low-cost route to form ZnO/ZnS heterojunctions by partial sulfurization of solution-grown ZnO thin films (350 nm-5 fÝm thick; conductivity comparable to phosphorus-doped Si) was demonstrated. A final study was on a cathode material for Li-ion batteries. Phase-pure LiFePO4 powders were synthesized by microwave-assisted sol-gel method and characterized.
ContributorsSun Zhou, Xiao Di (Author) / Dey, Sandwip K (Thesis advisor) / Krause, Stephen (Committee member) / Nagaraj, Vinay J (Committee member) / Marzke, Robert (Committee member) / Arizona State University (Publisher)
Created2014
Description
Modern medical conditions, including cancer, traumatic brain injury, and cardiovascular disease, have elicited the need for cell therapies. The ability to non-invasively track cells in vivo in order to evaluate these therapies and explore cell dynamics is necessary. Magnetic Resonance Imaging provides a platform to track cells as a non-invasive modality with superior resolution and soft tissue contrast. A new methodology for cellular labeling and imaging uses Nile Red doped hexamethyldisiloxane (HMDSO) nanoemulsions as dual modality (Magnetic Resonance Imaging/Fluorescence), dual-functional (oximetry/ detection) nanoprobes. While Gadolinium chelates and super paramagnetic iron oxide-based particles have historically provided contrast enhancement in MRI, newer agents offer additional advantages. A technique using 1H MRI in conjunction with an oxygen reporter molecule is one tool capable of providing these benefits, and can be used in neural progenitor cell and cancer cell studies. Proton Imaging of Siloxanes to Map Tissue Oxygenation Levels (PISTOL) provides the ability to track the polydimethylsiloxane (PDMS) labeled cells utilizing the duality of the nanoemulsions. 1H MRI based labeling of neural stem cells and cancer cells was successfully demonstrated. Additionally, fluorescence labeling of the nanoprobes provided validation of the MRI data and could prove useful for quick in vivo verification and ex vivo validation for future studies.
ContributorsCusick, Alex (Author) / Kodibagkar, Vikram D. (Thesis advisor) / Stabenfeldt, Sarah (Committee member) / Kleim, Jeff (Committee member) / Arizona State University (Publisher)
Created2014
Description
Obtaining high-quality experimental designs to optimize statistical efficiency and data quality is quite challenging for functional magnetic resonance imaging (fMRI). The primary fMRI design issue is on the selection of the best sequence of stimuli based on a statistically meaningful optimality criterion. Some previous studies have provided some guidance and powerful computational tools for obtaining good fMRI designs. However, these results are mainly for basic experimental settings with simple statistical models. In this work, a type of modern fMRI experiments is considered, in which the design matrix of the statistical model depends not only on the selected design, but also on the experimental subject's probabilistic behavior during the experiment. The design matrix is thus uncertain at the design stage, making it diffcult to select good designs. By taking this uncertainty into account, a very efficient approach for obtaining high-quality fMRI designs is developed in this study. The proposed approach is built upon an analytical result, and an efficient computer algorithm. It is shown through case studies that the proposed approach can outperform an existing method in terms of computing time, and the quality of the obtained designs.
ContributorsZhou, Lin (Author) / Kao, Ming-Hung (Thesis advisor) / Reiser, Mark R. (Committee member) / Stufken, John (Committee member) / Welfert, Bruno (Committee member) / Arizona State University (Publisher)
Created2014
Description
In this era of fast computational machines and new optimization algorithms, there have been great advances in Experimental Designs. We focus our research on design issues in generalized linear models (GLMs) and functional magnetic resonance imaging(fMRI). The first part of our research is on tackling the challenging problem of constructing
exact designs for GLMs, that are robust against parameter, link and model
uncertainties by improving an existing algorithm and providing a new one, based on using a continuous particle swarm optimization (PSO) and spectral clustering. The proposed algorithm is sufficiently versatile to accomodate most popular design selection criteria, and we concentrate on providing robust designs for GLMs, using the D and A optimality criterion. The second part of our research is on providing an algorithm
that is a faster alternative to a recently proposed genetic algorithm (GA) to construct optimal designs for fMRI studies. Our algorithm is built upon a discrete version of the PSO.
exact designs for GLMs, that are robust against parameter, link and model
uncertainties by improving an existing algorithm and providing a new one, based on using a continuous particle swarm optimization (PSO) and spectral clustering. The proposed algorithm is sufficiently versatile to accomodate most popular design selection criteria, and we concentrate on providing robust designs for GLMs, using the D and A optimality criterion. The second part of our research is on providing an algorithm
that is a faster alternative to a recently proposed genetic algorithm (GA) to construct optimal designs for fMRI studies. Our algorithm is built upon a discrete version of the PSO.
ContributorsTemkit, M'Hamed (Author) / Kao, Jason (Thesis advisor) / Reiser, Mark R. (Committee member) / Barber, Jarrett (Committee member) / Montgomery, Douglas C. (Committee member) / Pan, Rong (Committee member) / Arizona State University (Publisher)
Created2014