Dissertations / Theses on the topic 'Biomedical imaging'
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Luo, Yuan. "Novel Biomedical Imaging Systems." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193907.
Full textCole, Mary Janet. "Fluorescence lifetime imaging for biomedical applications." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393718.
Full textMeah, Christopher James. "Developing plenoptic technology for biomedical imaging." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7697/.
Full textPercival, Sarah Jane. "Functionalised silica nanoparticles for biomedical imaging." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/44837.
Full textSteuwe, Christian. "Nonlinear photonics in biomedical imaging and plasmonics." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708016.
Full textAmor, Rumelo. "Nonlinear and interference techniques for biomedical imaging." Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24918.
Full textFairbairn, Natasha. "Imaging of plasmonic nanoparticles for biomedical applications." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/353976/.
Full textSARWAR, IMRAN. "Microwave Imaging Specialized Hardware for Biomedical Applications." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2734429.
Full textCai, Hongmin. "Quality enhancement and segmentation for biomedical images." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39380130.
Full textCai, Hongmin, and 蔡宏民. "Quality enhancement and segmentation for biomedical images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39380130.
Full textLiu, Yehe. "System and Process Optimization for Biomedical Optical Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case162556700760192.
Full textHuang, Jiwei. "Multispectral Imaging of Skin Oxygenation." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1356637098.
Full textMcPheeters, Matthew Thomas. "Imaging Corneal Nerve Activity." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1626615737894263.
Full textPérez, Rosas Juan Miguel. "Imaging cytometry technology for environmental and biomedical applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669608.
Full textLa detección temprana de microorganismos en aplicaciones ambientales y biomédicas es crítica para la respuesta efectiva a posibles amenazas patogénicas. La mayoría de los métodos e instrumentos tradicionales para este tipo de análisis están casi obsoletas, debido a los esfuerzos que requieren y sus largos tiempos de respuesta. Las soluciones modernas se limitan a instalaciones centralizadas de alta gama y personal especializado, esto debido a su alto coste y complejidad. Existe una clara necesidad de desarrollar e introducir dispositivos de bajo costo, fáciles de usar y de alto rendimiento capaces de identificar y cuantificar rápidamente microorganismos patogénicos en muestras ambientales y biomédicas. El trabajo detrás de esta tesis se dedicó al diseño, desarrollo y validación en entornos industriales relevantes de dos dispositivos de citometría de imagen. La primera tecnología, definida como citometría de imagen de Fourier, es un dispositivo óptico capaz de aumentar el volumen de muestra capturado en comparación con las tecnologías tradicionales y el estado del arte. Al evaluar la muestra en el dominio de Fourier, el sistema es capaz de medir las características de las partículas dentro de un volumen de muestra mayor que los sistemas de imágenes comparativos. El sistema resultante mejora tanto el campo de visión (FOV, por sus siglas en inglés) como la profundidad de campo (DOF, por sus siglas en inglés) de la muestra. Además, la implementación del citómetro de imagen de Fourier en esta tesis es un dispositivo compacto y portátil compuesto por componentes ópticos y electrónicos de bajo coste. El diseño de todo el sistema se realizó con el objetivo de minimizar el coste del sistema y maximizar sus prestaciones. Esto fue posible principalmente debido a los recientes avances en las tecnologías de sensores de imagen que nos permitieron simplificar la óptica del dispositivo. En esta implementación de la citometría de imagen de Fourier, fuentes de luz LED y las lentes ópticas acromáticas convencionales comprenden la óptica del sistema en lugar de láseres de alta gama u objetivos de microscopios ópticos. Para el esquema de detección se utilizó un sensor de imagen CMOS. La citometría de imagen de Fourier presentada en esta tesis también fue validada en dos entornos industriales relevantes. El sistema se probó utilizando muestras ambientales reales. En la primera validación industrial, el sistema se utilizó para la identificación y cuantificación del microorganismo en el agua proveniente de torres de refrigeración. En la segunda validación industrial se analizaron aguas dulces y marinas, y su población de microorganismos, específicamente la cuantificación de phytoplankton en el contexto de sistemas de tratamiento de aguas de lastre. La segunda citometría de imagen diseñada, desarrollada e implementada dentro del alcance de esta tesis se centró en la detección de microorganismos sobre superficies. Siguiendo la motivación de los dispositivos compactos de bajo costo, se diseñó un citómetro de superficie. El citómetro de superficie es un dispositivo óptico capaz de cuantificar la población bacteriana en una superficie de más de 300 mm2. El dispositivo es completamente autónomo gracias a la integración de una computadora de placa única dentro de su diseño. La fuente de luz y el esquema de detección continuaron siendo LED y sensor CMOS. De manera similar al proceso de validación del citómetro de Fourier, el citómetro de superficie se probó en muestras controladas en un entorno de laboratorio, antes de someterse a prueba en una aplicación biomédica para el monitoreo del crecimiento bacteriano y se comparó con los sistemas estándar de medición de densidad óptica, utilizados hoy en día. en la industria. En resumen, en esta tesis presentamos dos nuevas tecnologías de citometría, junto con dos dispositivos de alto rendimiento y tres aplicaciones industriales
Tayyab, Muhammad. "Segmentation and Contrasting in Different Biomedical Imaging Applications." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00747430.
Full textAmrania, Hemmel. "Ultrafast Mid-Infrared Spectroscopic Imaging with Biomedical Applications." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526408.
Full textJin, Jiefu, and 金介夫. "Functional lanthanide-based nanoprobes for biomedical imaging applications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47752579.
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Chemistry
Doctoral
Doctor of Philosophy
Wang, Fangjing. "Biomedical Imaging of Stem Cells Using Reporter Genes." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1261441999.
Full textYeo, Woon Gi. "Terahertz Spectroscopic Characterization and Imaging for Biomedical Applications." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1430825935.
Full textSandiford, Lydia Grace. "Development of novel nanomaterials for multimodal biomedical imaging." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/development-of-novel-nanomaterials-for-multimodal-biomedical-imaging(e0472af1-2c89-4b64-81b8-1bfbbfc12429).html.
Full textKoh, Kevin Rongsheng. "Multimodal multispectral optical endoscopic imaging for biomedical applications." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6330.
Full textSharkey-Toppen, Travis P. "Imaging Iron and Atherosclerosis by Magnetic Resonance Imaging." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429796182.
Full textShen, Litao. "Diffusion tensor imaging application." Thesis, Purdue University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1602902.
Full textCentral nervous system (CNS) related conditions and diseases like mild traumatic brain injury (mTBI) and multiple sclerosis (MS) affect people’s life quality, yet there is no single test for the diagnosis of these diseases or conditions. Patients may need to wait for years until they are diagnosed correctly to get the correct treatment, which is often too late. Thus, there is a strong need to develop some techniques to aid the diagnosis of CNS-related conditions and diseases. The conventional MRI can reveal the structure of the brain but cannot detect the difference between the healthy tissue and the anomalies. Diffusion tensor imaging (DTI) has been used for detecting white matter integrity and demyelination for the past decade in experiments and has been proven to have the ability to depict the problem effectively. In the past decade, many techniques were found based on DTI data, and these techniques improved pre-processing, processing, and post-processing.
Though there are many software and APIs that can provide functions for DTI file input/output (IO), visualization and other DTI related topics, there is no general software or API that is dedicated to covering the whole processing procedure of DTI that at the same time can be extended easily by the user. This thesis is dedicated to developing a software that can be used to aid in the diagnosis of CNS-related conditions and diseases while at the same time trying to cover as many topics as possible. Another purpose is to make the software highly extensible.
This thesis work first introduces the background of CNS-related disease and uses MS as an example to introduce the process of demyelination and the white matter integrity problem, which are involved in these CNS-related diseases and conditions. Then the diffusion process and the technique that can detect the diffusion signal (DTI) is presented. After this, concepts and meaning of the secondary metrics are discussed. Then, current existing software and APIs and their advantages and disadvantages are outlined. After these points, the techniques that are discussed in this thesis as well as their advantages are outlined. This part is followed by the charts and code samples which can illustrate the process and structure of this software. Then different modules and their results are explained.
In this software, the results are represented by images and 3D models. There are color images, pseudo color images with different schemes and gray scale images. Images are mainly included to represent the FA and MD data. In this software, streamlines are generated from the eigenvalue and eigenvector. Then a bundled result for the streamline is also realized in this software. The streamline and bundled results are 3D models. For 3D models, there are mainly two ways to display the real 3D model. One is the naked eye 3D which doesn’t require the user to wear glasses but has less stereoscopic characteristics. As the stereoscopic monitors and glasses are more and more popular and easily accessible, this software also provides stereoscopic views for 3D models, and the user can choose red & blue, interlaced techniques with proper glasses.
This thesis work ends with the discussion of the results and limitations of DTI. Finally, there is a discussion about the future work that can improve the performance of this software and topics that need to be covered.
Levesque, Ives. "Magnetization transfer imaging of multiple sclerosis." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79030.
Full textOlarte, Omar E. "Development of novel imaging tools for selected biomedical applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144559.
Full textOswald, Annahita. "Coping with new Challenges in Clustering and Biomedical Imaging." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-134971.
Full textHenriksson, Tommy. "CONTRIBUTION TO QUANTITATIVE MICROWAVE IMAGING TECHNIQUES FOR BIOMEDICAL APPLICATIONS." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5882.
Full textA dissertation prepared through an international convention for a joint supervision thesis with Université Paris-SUD 11, France
Microwaves in biomedicine
Butzer, Jochen Sieghard. "MARS-CT: Biomedical Spectral X-ray Imaging with Medipix." Thesis, University of Canterbury. Physics and Astronomy, 2009. http://hdl.handle.net/10092/3863.
Full textPetrović, Nikola. "Measurement System for Microwave Imaging Towards a Biomedical Application." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-24878.
Full textSparks, Hugh. "Development and biomedical application of fluorescence lifetime imaging endoscopes." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/28962.
Full textMonfort, Tual Remy. "Non linear photonics : developments & applications in biomedical imaging." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/422862/.
Full textGe, Haobo. "New functionalised carbon based nanomaterials for biomedical imaging applications." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681050.
Full textLuthman, Anna Siri Naemi. "Spectrally resolved detector arrays for multiplexed biomedical fluorescence imaging." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/274904.
Full textDorcéna, Cassandre Jenny. "Nanoparticles for Biomedical Imaging and Biomolecular Transport and Manipulation." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408915572.
Full textKano, Angelique Lynn. "Ultrathin Single and Multi-Channel Fiberscopes for Biomedical Imaging." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/193617.
Full textLiang, Chen. "Design of miniature microscope objective optics for biomedical imaging." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280105.
Full textQin, Ruogu. "Intraoperative Imaging Platform." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322617803.
Full textSchuessler, Thomas Florian. "Advances in pulmonary monitoring and thoracic imaging." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=34444.
Full textTaylor, Carmen Celeste. "Imaging methodology for assessment of chronic disease." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3324621.
Full textSource: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5584. Adviser: Sharmila Majumdar.
Hu, Simon. "Hyperpolarized carbon-13 magnetic resonance spectroscopic imaging: Pulse sequence development for compressed sensing rapid imaging and preclinical liver studies." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3390048.
Full textSource: Dissertation Abstracts International, Volume: 71-02, Section: B, page: . Adviser: Daniel B. Vigneron.
Gao, Ying Gao. "Development of Quantitative Fast Imaging with Steady-State Free Precession (FISP) Techniques for High Field Preclinical Magnetic Resonance Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1475150834919997.
Full textShet, Keerthi Vishnudas. "Development Of Instrumentation And Techniques To Adapt Proton Electron Double Resonance Imaging For Biomedical Imaging." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1227731151.
Full textStefanovic, Bojana. "Functional magnetic resonance imaging of cerebral blood volume." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85650.
Full textIfediba, Marytheresa Akuigwe. "Small Interfering RNA Imaging Probes for Neurological Applications." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10675.
Full textEngineering and Applied Sciences
Penmatsa, Madhuri Krishna. "Infrared Spectral Imaging Analysis Of Cartilage Repair Tissue." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/124100.
Full textM.S.
Articular cartilage is a homogenous tissue that provides frictionless movement between joints while withstanding repetitive physical stress. Once degenerated as a result of osteoarthritis or an injury, it has very limited capacity for self-repair. Recent research has focused on developing many new technologies for cartilage repair. The successful application of these strategies is limited in part to lack of techniques to evaluate tissue response to interventions. Assessment of the structural and molecular changes in the primary cartilage components, proteoglycan (PG) and collagen is critical to evaluate progress of the repair tissue. In the present study Fourier transform infrared imaging spectroscopy (FT-IRIS) was utilized to evaluate molecular changes in normal and degenerated cartilage in a rabbit model of repair. Parameters such as collagen integrity, type II collagen and proteoglycan are important factors in determining the biomechanical properties of articular cartilage, and are likely as important in determining functional competence of repair tissue. Histological evaluations are considered to be one of the most important methods for determining the quality of the repair tissue, but still do not predict clinical outcome. It is possible that a new tissue scoring system that considers molecular parameters in the repair tissue, along with the histological outcomes, will better predict clinical success of repair. The main goal of this study is to assess correlations between histological grading, immunohistochemical assessments of type I and II collagen, and FT-IRIS parameters, in cartilage repair tissue in a rabbit model. These data will provide the basis for a novel tissue scoring system using FT-IRIS parameters alone, or in conjunction with histological and immunohistochemical outcomes. This could yield better correlations with clinical outcomes that may lead to optimization of the cartilage repair process.
Temple University--Theses
Guardiola, Garcia Marta. "Multi-antenna multi-frequency microwave imaging systems for biomedical applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/134967.
Full textRagib, Husain B. Wang Yu-Ping. "Wavelet transform based peak detection with application to biomedical imaging." Diss., UMK access, 2004.
Find full text"A thesis in computing and electrical engineering." Typescript. Advisor: Yu-Ping Wang. Vita. Title from "catalog record" of the print edition Description based on contents viewed Feb. 28, 2006. Includes bibliographical references (leaves 77-81). Online version of the print edition.
Chen, Andy Yen Hsin. "Development and characterization of fiber-based systems for biomedical imaging." Thesis, University of Auckland, 2011. http://hdl.handle.net/2292/13361.
Full textQin, Haiyan. "Rational design of nanoparticles for biomedical imaging and photovoltaic applications." Doctoral thesis, KTH, Teoretisk kemi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-33346.
Full textQC 20110511
Lucka, Felix [Verfasser], and Martin [Akademischer Betreuer] Burger. "Bayesian inversion in biomedical imaging / Felix Lucka ; Betreuer: Martin Burger." Münster : Universitäts- und Landesbibliothek Münster, 2015. http://d-nb.info/1138279749/34.
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