Дисертації з теми "Computational methods in biomedical optical imaging"
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Birch, Gabriel C. "Computational and Design Methods for Advanced Imaging." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/242355.
Повний текст джерелаBalagopal, Bavishna. "Advanced methods for enhanced sensing in biomedical Raman spectroscopy." Thesis, University of St Andrews, 2014. http://hdl.handle.net/10023/6343.
Повний текст джерелаJones, Cameron Christopher. "VALIDATION OF COMPUTATIONAL FLUID DYNAMIC SIMULATIONS OF MEMBRANE ARTIFICIAL LUNGS WITH X-RAY IMAGING." UKnowledge, 2012. http://uknowledge.uky.edu/cbme_etds/2.
Повний текст джерелаMontejo, Ludguier. "Computational Methods For The Diagnosis of Rheumatoid Arthritis With Diffuse Optical Tomography." Thesis, 2014. https://doi.org/10.7916/D8NS0S0C.
Повний текст джерелаRavi, Prasad K. J. "Development of Efficient Computational Methods for Better Estimation of Optical Properties in Diffuse Optical Tomography." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3311.
Повний текст джерелаRavi, Prasad K. J. "Development of Efficient Computational Methods for Better Estimation of Optical Properties in Diffuse Optical Tomography." Thesis, 2013. http://etd.iisc.ernet.in/2005/3311.
Повний текст джерелаGutta, Sreedevi. "Improving photoacoustic imaging with model compensating and deep learning methods." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4390.
Повний текст джерелаNarayana, Swamy Yamuna. "Studies on Kernel Based Edge Detection an Hyper Parameter Selection in Image Restoration and Diffuse Optical Image Reconstruction." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/3615.
Повний текст джерелаNarayana, Swamy Yamuna. "Studies on Kernel Based Edge Detection an Hyper Parameter Selection in Image Restoration and Diffuse Optical Image Reconstruction." Thesis, 2017. http://etd.iisc.ernet.in/2005/3615.
Повний текст джерелаHarmany, Zachary Taylor. "Computational Optical Imaging Systems: Sensing Strategies, Optimization Methods, and Performance Bounds." Diss., 2012. http://hdl.handle.net/10161/6135.
Повний текст джерелаThe emerging theory of compressed sensing has been nothing short of a revolution in signal processing, challenging some of the longest-held ideas in signal processing and leading to the development of exciting new ways to capture and reconstruct signals and images. Although the theoretical promises of compressed sensing are manifold, its implementation in many practical applications has lagged behind the associated theoretical development. Our goal is to elevate compressed sensing from an interesting theoretical discussion to a feasible alternative to conventional imaging, a significant challenge and an exciting topic for research in signal processing. When applied to imaging, compressed sensing can be thought of as a particular case of computational imaging, which unites the design of both the sensing and reconstruction of images under one design paradigm. Computational imaging tightly fuses modeling of scene content, imaging hardware design, and the subsequent reconstruction algorithms used to recover the images.
This thesis makes important contributions to each of these three areas through two primary research directions. The first direction primarily attacks the challenges associated with designing practical imaging systems that implement incoherent measurements. Our proposed snapshot imaging architecture using compressive coded aperture imaging devices can be practically implemented, and comes equipped with theoretical recovery guarantees. It is also straightforward to extend these ideas to a video setting where careful modeling of the scene can allow for joint spatio-temporal compressive sensing. The second direction develops a host of new computational tools for photon-limited inverse problems. These situations arise with increasing frequency in modern imaging applications as we seek to drive down image acquisition times, limit excitation powers, or deliver less radiation to a patient. By an accurate statistical characterization of the measurement process in optical systems, including the inherent Poisson noise associated with photon detection, our class of algorithms is able to deliver high-fidelity images with a fraction of the required scan time, as well as enable novel methods for tissue quantification from intraoperative microendoscopy data. In short, the contributions of this dissertation are diverse, further the state-of-the-art in computational imaging, elevate compressed sensing from an interesting theory to a practical imaging methodology, and allow for effective image recovery in light-starved applications.
Dissertation
Allmaras, Moritz. "Modeling Aspects and Computational Methods for Some Recent Problems of Tomographic Imaging." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10397.
Повний текст джерелаSanny, Dween Rabius. "Development of advanced regularization methods to improve photoacoustic tomography." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/5333.
Повний текст джерела"Optical Methods for Studying Cell Mechanics." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.38730.
Повний текст джерелаDissertation/Thesis
Doctoral Dissertation Electrical Engineering 2016
Shaw, Calvin B. "Development of Sparse Recovery Based Optimized Diffuse Optical and Photoacoustic Image Reconstruction Methods." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3007.
Повний текст джерелаShaw, Calvin B. "Development of Sparse Recovery Based Optimized Diffuse Optical and Photoacoustic Image Reconstruction Methods." Thesis, 2014. http://hdl.handle.net/2005/3007.
Повний текст джерелаPereira, Bogado Pedro Fernando. "A novel method to increase depth of imaging in optical coherence tomography using ultrasound." 2012. http://hdl.handle.net/1993/8864.
Повний текст джерелаShaw, Calbvin B. "Development of Novel Reconstruction Methods Based on l1--Minimization for Near Infrared Diffuse Optical Tomography." Thesis, 2012. http://etd.iisc.ac.in/handle/2005/3229.
Повний текст джерелаShaw, Calbvin B. "Development of Novel Reconstruction Methods Based on l1--Minimization for Near Infrared Diffuse Optical Tomography." Thesis, 2012. http://hdl.handle.net/2005/3229.
Повний текст джерелаFontanella, Andrew Nicholas. "Novel Methods of Optical Data Analysis to Assess Radiation Responses in the Tumor Microenvironment." Diss., 2013. http://hdl.handle.net/10161/7156.
Повний текст джерелаThe vascular contribution to tumor radiation response is controversial, but may have profound clinical implications. This is especially true of a new class of radiation therapies which employ spatial fractionation techniques--high radiation doses delivered in a spatially modulated pattern across the tumor. Window chamber tumor models may prove useful in investigating vascular parameters due to their facilitation of non-invasive, serial measurements of living tumors. However, presently there do not exist automated and accurate algorithms capable of quantitatively analyzing window chamber data.
Here we attempt to address these two problems through (1) the generation of novel optical data processing techniques for the quantification of vascular structural and functional parameters, and (2) the application of these methods to the study of vascular radiation effects in window chamber models.
Results presented here demonstrate the versatility and functionality of the data processing methods that we have developed. In the first part of Aim 1, we have developed a vessel segmentation algorithm specifically designed for processing tumor vessels, which present a challenge to existing algorithms due to their highly branching, tortuous structure. This provides us with useful information on vascular structural parameters. In the second part of Aim 1, we demonstrate a complementary vascular functional analysis algorithm, which generates quantitative maps of speed and direction. We prove the versatility of this method by applying it to a number of different studies, including hemodynamic analysis in the dorsal window chamber, the pulmonary window, and after neural electro-stimulation. Both the structural and functional techniques are shown capable of generating accurate and unbiased vascular structural and functional information. Furthermore, that automated nature of these algorithms allow for the rapid and efficient processing of large data sets. These techniques are validated against existing techniques.
The application of these methods to the study of vascular radiation effects produced invaluable quantitative data which suggest startling tumor adaptations to radiation injury. Window chamber grown tumors were treated with either widefield, microbeam, or mock irradiation. After microbeam treatment, we observed a profound angiogenic effect within the radiation field, and no signs of vascular disruption. Upregulation of HIF-1, primarily in the tumor rim, suggested that this response may have been due to bystander mechanisms initiated by oxidative stress. This HIF-1 response may have also initiated an epithelial-mesenchymal transition in the cells of the tumor rim, as post-treatment observation revealed evidence of tumor cell mobilization and migration away from the primary tumor to form secondary satellite clusters. These data indicate the possibility of significant detrimental effects after microbeam treatment facilitated through a HIF-1 response.
Dissertation
Freeman, Matthew S. "The Efficiency Limits of Spin Exchange Optical Pumping Methods of 129Xe Hyperpolarization: Implications for in vivo MRI Applications." Diss., 2015. http://hdl.handle.net/10161/9907.
Повний текст джерелаSince the inception of hyperpolarized 129Xe MRI, the field has yearned for more efficient production of more highly polarized 129Xe. For nearly all polarizers built to date, both peak 129Xe polarization and production rate fall far below theoretical predictions. This thesis sought to develop a fundamental understanding of why the observed performance of large-scale 129Xe hyperpolarization lagged so badly behind theoretical predictions.
This is done by thoroughly characterizing a high-volume, continuous-flow polarizer using optical cells having three different internal volumes, and employing two different laser sources. For each of these 6 combinations, 129Xe polarization was carefully measured as a function of production rate across a range of laser absorption levels. The resultant peak polarizations were consistently a factor of 2-3 lower than predicted across a range of absorption levels, and scaling of production rates deviated badly from predictions based on spin exchange efficiency.
To bridge this gap, we propose that paramagnetic, activated Rb clusters form during spin exchange optical pumping (SEOP), and depolarize Rb and 129Xe, while unproductively scattering optical pumping light. When a model was built that incorporated the effects of clusters, its predictions matched observations for both polarization and production rate for all 6 systems studied. This permits us to place a limit on cluster number density of <2 × 109 cm-3.
The work culminates with deploying this framework to identify methods to improve polarization to above 50%, leaving the SEOP cell. Combined with additional methods of preserving polarization, the polarization of a 300-mL batch of 129Xe increased from an average of 9%, before this work began, to a recent value of 34%.
We anticipate that these developments will lay the groundwork for continued advancement and scaling up of SEOP-based hyperpolarization methods that may one day permit real-time, on-demand 129Xe MRI to become a reality.
Dissertation
"Label Free Methods for the Quantification of Molecular Interaction with Membrane Protein on Cell Surface." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.51559.
Повний текст джерелаDissertation/Thesis
Doctoral Dissertation Electrical Engineering 2018
Pilarski, Patrick Michael. "Computational analysis of wide-angle light scattering from single cells." Phd thesis, 2009. http://hdl.handle.net/10048/774.
Повний текст джерелаTitle from PDF file main screen (viewed on Apr. 1, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Doctor of Philosophy, Department of Electrical and Computer Engineering, University of Alberta. Includes bibliographical references.
(8713962), James Ulcickas. "LIGHT AND CHEMISTRY AT THE INTERFACE OF THEORY AND EXPERIMENT." Thesis, 2020.
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