Dissertations / Theses on the topic 'Tissue imaging'
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Killich, Markus. "Tissue Doppler Imaging." Diss., lmu, 2007. http://nbn-resolving.de/urn:nbn:de:bvb:19-67089.
Full textEinarsdóttir, Hildur. "Imaging of soft tissue tumors /." Stockholm, 2003. http://diss.kib.ki.se/2003/91-7349-647-2/.
Full textSharma, Srikanta. "Microultrasound imaging of tissue dysplasia." Thesis, University of Dundee, 2015. https://discovery.dundee.ac.uk/en/studentTheses/ce30ac7f-8d18-464d-bbe5-5e9329ff5ff2.
Full textLee, Peter. "Scalable multi-parametric imaging of excitable tissue : cardiac imaging." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:a2594103-894b-4e1c-bdbb-43886f0d7fe0.
Full textKillich, Markus. "Tissue Doppler imaging Erstellung von Referenzwerten für tissue velocity imaging, strain und strain rate beim Hund /." [S.l.] : [s.n.], 2006. http://edoc.ub.uni-muenchen.de/archive/00006708.
Full textPoland, Simon. "Techniques in deep imaging within biological tissue." Thesis, University of Strathclyde, 2006. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21651.
Full textLapp, Sarah Julia. "Bioluminescence Imaging Strategies for Tissue Engineering Applications." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32338.
Full textMaster of Science
Unnersjö-Jess, David. "High-resolution imaging of kidney tissue samples." Licentiate thesis, KTH, Cellulär biofysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207577.
Full textQC 20170523
Erich, Katrin [Verfasser], and Carsten [Akademischer Betreuer] Hopf. "Investigation of Cancerous Tissues by MALDI Mass Spectrometry Imaging - Imaging of proteolytic activity in frozen tissue and standardised on-tissue digestion / Katrin Erich ; Betreuer: Carsten Hopf." Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/1193252393/34.
Full textSikdar, Siddhartha. "Ultrasonic imaging of flow-induced vibrations in tissue /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6100.
Full textHoyt, Kenneth Leon Forsberg Flemming. "Spectral strain estimation techniques for tissue elasticity imaging /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/504.
Full textHilton, Judy A. "An Acoustic Imaging System for Soft Tissue Stress." Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/HiltonJA2005.pdf.
Full textBálint, Péter Vince. "Ultrasound imaging in joint and soft tissue inflammation." Thesis, University of Glasgow, 2002. http://theses.gla.ac.uk/2266/.
Full textLi, Teng. "Advanced Photoacoustic Measurement and Imaging in Biological Tissue." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506584.
Full textTillberg, Paul W. "Expansion microscopy : improving imaging through uniform tissue expansion." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106094.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 70-76).
Until the past decade, optical microscopy of biological specimens was strongly limited by diffraction and scattering, affecting imaging resolution and depth, respectively. Now, numerous methods are available to overcome each of these limitations, but sub-diffraction limited resolution imaging over large volumes of scattering tissue is still a challenge. This work concerns the development of a new method, Expansion Microscopy (ExM) for achieving effect sub-diffraction-limited optical images in biological specimens. In ExM, the specimen is embedded in a swellable gel material to which fluorescent probes are chemically anchored. The embedded tissue is strongly digested so that it will not hinder uniform expansion driven by the gel. The gel with embedded, fragmented tissue is washed in water, triggering expansion of around 4-fold in each dimension. A variant of the method, ExM with Protein Retention (proExM) is presented that allows proteins themselves, rather than fluorescent probes, to be anchored by a small molecule cross-linker to the gel, so that the method may be carried out entirely with commercial components and standard antibodies.
by Paul W. Tillberg.
Ph. D.
Hill, Esme. "Perfusion imaging and tissue biomarkers for colorectal cancer." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:4a309265-6f27-4839-9259-f19cf9648c2d.
Full textLaurens, Ediuska V. "Imaging of Tyramine-Substituted Hydrogels for Tissue Replacement." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1265639619.
Full textPenmatsa, 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
Hui, Sai-kam, and 許世鑫. "Magnetic resonance diffusion tensor imaging for neural tissue characterization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42841306.
Full textKe, Meng-Tsen. "Optical clearing and deep-tissue fluorescence imaging using fructose." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188839.
Full textRoy, Ranadhir. "Image reconstruction from light measurements on biological tissue." Thesis, University of Hertfordshire, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338567.
Full textHofstad, Erlend Fagertun. "Ultrasound Contrast Imaging - Improved Tissue Suppression in Amplitude Modulation." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9316.
Full textThe ability to image myocardial perfusion is very important in order to detect coronary diseases. GE Vingmed Ultrasound uses contrast agent in combination with a pulse inversion (PI) technique to do the imaging. But this technique does not function sufficiently for all patients. Therefore have other techniques been tested out, including transmission of pulses with different amplitude (AM), to enhance the nonlinear signal from contrast bubbles. But a problem achieving sufficient cancellation of linear tissue signal is a feebleness of the method. In this diploma work has an effort been put into enhancing the tissue suppression in amplitude modulation. First the source of the lack of suppression was searched for by measuring electrical and acoustical pulses. The further examination revealed a dissymmetry in between pulses of different amplitude. To reduce this error were several attempts to make a compensation filter performed, which finally resulted in a filter created of echo data acquired from a tissue mimicking phantom. The filter was furthermore tested out on a flow phantom to see how it affected the signal from tissue and contrast bubbles, compared to the former use of a constant instead of the filter. The comparison showed 1.5-3.2 dB increase in tissue suppression (TS). But unfortunately did the filtering process slightly reduce the contrast signal as well, which resulted in a smaller increase of Contrast-to-Tissue-Ratio (CTR) than TS; 1.0-2.8 dB. During the work was the source of another problem concerning tissue suppression discovered. In earlier work by the author cite{prosjekt} the experimental results suffered from low TS around the transmitted frequency, which was found inexplicable at that time. This problem was revealed to be caused by reverberations from one pulse, interfering with the echoes from the next pulse. The solution suggested in this thesis is to transmit pulses in such a way that every pulse used to create an image has a relatively equal pulse in front. For instance, if a technique employs two pulses to create an image, and the first has half the amplitude and opposite polarity of the second. Then, to eliminate the reverberations must the first imaging pulse have a pulse in front which has half the amplitude and opposite polarity of the pulse in front of the second imaging pulse.
Walker, Paul Michael. "A test material for tissue characterization in N.M.R. imaging." Thesis, Imperial College London, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338275.
Full textUtting, Jane Francis. "Magnetic resonance imaging of tissue microcirculation in experimental studies." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272348.
Full textWinder, Robert John. "Medical imaging : tissue volume measurement & medical rapid prototyping." Thesis, University of Ulster, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399689.
Full textHui, Sai-kam. "Magnetic resonance diffusion tensor imaging for neural tissue characterization." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42841306.
Full textLee, Z. S. "Towards real-time imaging of strain in soft tissue." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/20003/.
Full textMeeus, Emma Maria. "Investigation of tissue microenvironments using diffusion magnetic resonance imaging." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8372/.
Full textZhang, Yu. "Hyaluronan Based Biomaterials with Imaging Capacity for Tissue Engineering." Doctoral thesis, Uppsala universitet, Institutionen för kemi - Ångström, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300799.
Full textZhao, Mingjun. "NONINVASIVE MULTIMODAL DIFFUSE OPTICAL IMAGING OF VULNERABLE TISSUE HEMODYNAMICS." UKnowledge, 2019. https://uknowledge.uky.edu/cbme_etds/58.
Full textShukla, Vipul. "Intravital Imaging of Borrelia burgdorferi in Murine Skin Tissue." University of Toledo Health Science Campus / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=mco1271697663.
Full textPašović, Mirza. "Tissue harmonic reduction : application to ultrasound contrast harmonic imaging." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10060.
Full textUltrasound contrast agents are small micro bubbles that respond nonlinearly when exposed to ultrasound wave. The nonlinear response gives possibility of harmonic ultrasound images which has many advantages over fundamental imaging. However, to increase ultrasound contrast harmonic imaging performance we must first understand nonlinear propagation of ultrasound wave. Nonlinear propagation distorts the propagating wave such that higher harmonics appear as the wave is propagating. The theory that was laid down, was allowed implementing a new method of modelling nonlinear ultrasound propagation. The knowledge obtained during this process was used to construct a multiple component second harmonic reduction signal for reduction of their harmonics generated due to the tissue nonlinearities. As a consequence detection of ultrasound contrast agents at higher harmonics was increased. Further more, a powerful ultrasound imaging technique called Pulse Inversion, was further enhanced with multiple component second harmonic reduction signal. What was learned during investigation of the Pulse Inversion, technique lead to a new phase coded ultrasound contrast harmonic method called second harmonic inversion;. Also it was noted that for different type of media the level of distortion of ultrasound pulse is different. It depends largely on the nonlinear parameter B / A. Although the work on this parameter has not been finished it is very important to continue in this direction since B / A imaging with ultrasound contrast agents has a lot of potential
Hofmann, Matthias Colin. "Localized Excitation Fluorescence Imaging (LEFI)." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27749.
Full textPh. D.
Lai, Di. "Independent component analysis (ICA) applied to ultrasound image processing and tissue characterization /." Online version of thesis, 2009. http://hdl.handle.net/1850/11367.
Full textZhang, Zhongping, and 张忠平. "Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4694395X.
Full textShallof, Abulgasim M. "Multi-frequency electrical impedance tomography for medical diagnostic imaging." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265987.
Full textCheung, Man-hin Matthrew, and 張文騫. "Development of diffusion and functional magnetic resonance imaging techniques for neuroscience." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47147635.
Full textKhojasteh-Lakelayeh, Mehrnoush. "Methods for improved imaging and analysis of tissue-based biomarkers." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43728.
Full textRichter, Katrin. "Application of imaging TOF-SIMS in cell and tissue research /." Göteborg : Institute of Biomedicine, The Sahlgrenska Academy, Göteborg University, 2007. http://hdl.handle.net/2077/7447.
Full textBonnema, Garret. "Imaging Tissue Engineered Blood Vessel Mimics with Optical Coherence Tomography." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194969.
Full textHe, Taigang. "Magnetic resonance imaging relaxometry for myocardial tissue characterisation in thalassemia." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521112.
Full textZhu, Hui. "Scatterer number density estimation for tissue characterization in ultrasound imaging /." Online version of thesis, 1990. http://hdl.handle.net/1850/10882.
Full textCasasnovas, Ortega Nicole. "Developing osteoarthritis treatments through cartilage tissue engineering and molecular imaging." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76172.
Full textCataloged from PDF version of thesis. Page 104 blank.
Includes bibliographical references.
Tissue engineering can be applied to develop therapeutic techniques for osteoarthritis, a degenerative disease caused by the progressive deterioration of cartilage in joints. An inherent goal in developing cartilage-replacement treatments is ensuring that tissue-engineered constructs possess the same properties as native cartilage tissue. Biochemical assays and imaging techniques can be used to study some of the main components of cartilage and assess the value of potential therapies. Agarose and self-assembling peptides have been used to make hydrogels for in vitro culture of bovine bone marrow stromal cells (BMSCs) which can differentiate into chondrocytes, undergo chondrogenesis, and produce cartilage tissue. So far, differences in cell morphology that characterize chondrogenesis had been observed in peptide hydrogels like KLD and RAD but not in the 2.0% agarose hydrogels typically used for culture. A tissue engineering study was conducted to determine if a suitable environment for cell proliferation and differentiation could be obtained using different agarose compositions. BMSCs were cultured in 0.5%, 1.0%, and 2.0% agarose hydrogels for 21 days following TGF-p1 supplementation. Results indicate that the 0.5% agarose hydrogels are clearly inferior scaffolds when compared to the 1.0% and 2.0% agarose hydrogels, which are generally comparable. Since agarose gels appear to be suboptimal in promoting chondrogenesis, self-assembling peptides should be used in future studies. In addition to the biochemical assays traditionally used in cartilage tissue engineering studies, atomic force microscopy (AFM) can be used to image aggrecan, one of the main components of cartilage. Imaging studies were carried out using fetal bovine epiphyseal aggrecan to optimize previous extraction and sample preparation procedures, as well as an AFM imaging protocol, for samples containing aggrecan. Experiments were conducted with 10, 25, and 50 ptg/mL aggrecan solutions to find the minimum concentration needed to create aggrecan monolayers on APTES-mica that would yield acceptable AFM images (25 [mu]g/mL). AFM instrument and software parameters were optimized to find the working range of the integral and proportional gains (0.2 - 0.4 and 0.6 - 0.8, respectively) and to increase the resolution, showing fields at the 800 nm level. Finally, an image processing protocol relevant to these molecules was established.
by Nicole Casasnovas Ortega.
S.M.
Chen, Zhaomin. "Imaging Infrared Microscope Analysis of Fixation-free Liver Tumor Tissue." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1367421889.
Full textWoods, Stephan M. "VIBRATIONAL SPECTROSCOPY AND SPECTROSCOPIC IMAGING OF BIOLOGICAL CELLS AND TISSUE." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1322540287.
Full textHamilton, Jason S. "Disease Tissue Imaging and Single Cell Analysis with Mass Spectrometry." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984137/.
Full textSchneider, Caitlin Marie. "Ultrasound elastography for intra-operative use and renal tissue imaging." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61246.
Full textApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
Murphy, Richard James. "Development of tissue and imaging biomarkers of rotator cuff tendinopathy." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:b63377cb-b569-41dc-a3a8-099743dd66d3.
Full textTadrous, Paul Joseph. "The imaging of benign and malignant breast tissue by flourescence lifetime imaging and optical coherence tomography." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407233.
Full textBossart, Elizabeth L. "Magnetic resonance imaging and spectroscopy for the study of translational diffusion applications to nervous tissue /." [Florida] : State University System of Florida, 1999. http://etd.fcla.edu/etd/uf/1999/amj9926/bossart.pdf.
Full textTitle from first page of PDF file. Document formatted into pages; contains xiv, 137 p.; also contains graphics. Vita. Includes bibliographical references (p. 129-136).