Dissertations / Theses on the topic 'Multi-modal imaging'
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Kachatkou, Anton S. "Instrumentation for multi-dimensional multi-modal imaging in microscopy." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509391.
Full textBlattmann, Marc [Verfasser], Hans [Akademischer Betreuer] Zappe, Çağlar [Akademischer Betreuer] Ataman, and Andreas [Akademischer Betreuer] Seifert. "Concept for a multi-modal endoscopic imaging system." Freiburg : Universität, 2017. http://d-nb.info/1148929363/34.
Full textHoffman, David. "Hybrid PET/MRI Nanoparticle Development and Multi-Modal Imaging." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3253.
Full textHalai, Ajay Devshi. "Multi-modal imaging of brain networks subserving speech comprehension." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/multimodal-imaging-of-brain-networks-subserving-speech-comprehension(8f1b55b1-6d06-452e-8efc-8f1bb89fd481).html.
Full textWang, Xue. "An Integrated Multi-modal Registration Technique for Medical Imaging." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3512.
Full textLi, Lin. "Multi-scale spectral embedding representation registration (MSERg) for multi-modal imaging registration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1467902012.
Full textMera-Pirttijarvi, Ross Jalmari. "Targeted multi-modal imaging : using the Ugi reaction with metals." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/targeted-multimodal-imaging-using-the-ugi-reaction-with-metals(00ca616e-b8bd-466a-86dc-d1799851fbd1).html.
Full textChan, Ho-Ming. "A supervised learning framework for multi-modal rigid registration with applications to angiographic images /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20CHAN.
Full textIncludes bibliographical references (leaves 60-62). Also available in electronic version. Access restricted to campus users.
Yao, Nailin, and 姚乃琳. "Visual hallucinations in Parkinson's disease : a multi-modal MRI investigation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/196477.
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Psychiatry
Doctoral
Doctor of Philosophy
Petersen, Steffen E. "Insights into cardiac remodelling by multi-modal magnetic resonance imaging and spectroscopy." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419318.
Full textGuggenheim, James A. "Multi-modal diffuse optical tomography and bioluminescence tomography system for preclinical imaging." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5278/.
Full textO, H.-Ici Darach Michael. "Multi-modal imaging of myocardial ischemia and reperfusion in a rat model." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/multimodal-imaging-of-myocardial-ischemia-and-reperfusion-in-a-rat-model(43bf5945-ce02-48cc-a634-2ebf00cffc99).html.
Full textMali, Shruti Atul. "Multi-Modal Learning for Abdominal Organ Segmentation." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285866.
Full textNamati, Eman, and eman@namati com. "Pre-Clinical Multi-Modal Imaging for Assessment of Pulmonary Structure, Function and Pathology." Flinders University. Computer Science, Engineering and Mathematics, 2008. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20081013.044657.
Full textTaylor, Shelley Louise. "Quantitative bioluminescence tomography : hardware and software development for a multi-modal imaging system." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8180/.
Full textEwing, Joseph. "Design and instrumentation of a multi-modal imaging system for breast cancer detection." Connect to resource, 2008. http://hdl.handle.net/1811/35643.
Full textTitle from first page of PDF file. Includes bibliographical references (p. xxxi-xxxii). Available online via Ohio State University's Knowledge Bank.
CASAGRANDE, ELISA. "Design of Bismuth-based luminescent materials for multi-modal imaging and optical thermometry." Doctoral thesis, Università degli Studi di Trieste, 2020. http://hdl.handle.net/11368/2963767.
Full textNamati, Jacqueline Thiesse. "Phenotype characterization of lung structure in inbred mouse strains using multi modal imaging techniques." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/256.
Full textHua, Ning. "Studies in multi-modal cardiovascular imaging: cardiovascular MRI in humans and targeted fluorescence in an animal model of atherosclerosis." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12425.
Full textCardiovascular disease (CVD) remains the leading cause of mortality and morbidity in the United States. It encompasses a variety of conditions that involve the heart and/or the vascular system, including coronary heart disease, ischemic heart disease, cardiomyopathy, atherosclerosis and stroke. Understanding the risk factors and mechanisms underlying CVD as well as developing early diagnostic methods has great clinical importance. In this thesis work, we used Magnetic Resonance Imaging (MRI) and studied two aspects of CVD. Firstly, we explored the regional influence of pericardial/periaortic fat on the underlying organs in human subjects. Pericardial fat volume did not correlate with BMI in either obese or control subjects. Left ventricular (LV) function, including stroke volume (r=-0.29, p=0.04) and cardiac output (r=-0.33, p=0.02), was inversely related to LV fat but not right ventricular (RV) fat. LV diastolic function, including early filling rate (E-rate), early/late filling ratio (E/A), showed a stronger correlation to LV fat (E-rate, r=-0.41, p=0.005; E/A, r=-0.31, p=0.04) than RV fat. This evidence suggests local toxic effects of pericardia! fat on cardiac structure/function. Periaortic fat was also found positively linked to plaque volume, which suggests a paracrine role of periaortic fat in atherogenesis. Secondly, we combined in vivo MRI and ex vivo targeted fluorescence imaging to detect vulnerable plaques (VPs) in a rabbit model. The fluorescence signal from enzyme-activated targeted probes (PLGLAG-cy5 and DPRSFL-cy5) co-localized most strongly with vulnerable aortic plaques as detected by MRI. Statistically, fluorescence signal was enhanced (by 40-60%) in VPs as compared to stable ones. In addition, the fluorescence signal was related to the MRI plaque vulnerability measurements, such as outward remodeling and enhanced gadolinium uptake. The combination of MRI and targeted molecular imaging can help us to understand both plaque morphology and functionality, which in turn can increase the diagnostic accuracy of the vulnerable plaques. In conclusion, we identified local toxic effect of regional fat depots on cardiovascular function using MRI. We also demonstrated MRI is a powerful technique in studying CVD. Combination of MRI and molecular imaging can help us understand the morphology and function of the atherosclerotic plaques, which might help early detection of VPs.
Dalvi, Rupin. "Novel approaches for multi-modal imaging and fusion in orthopaedic research for analysis of bone and joint anatomy and motion." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/15857.
Full textHabert, Séverine [Verfasser], Nassir [Akademischer Betreuer] Navab, Nassir [Gutachter] Navab, and Pascal [Gutachter] Fallavollita. "Multi-Modal Visualization Paradigms for RGBD augmented X-ray Imaging / Séverine Habert ; Gutachter: Nassir Navab, Pascal Fallavollita ; Betreuer: Nassir Navab." München : Universitätsbibliothek der TU München, 2018. http://d-nb.info/1164590758/34.
Full textFürst, Bernhard [Verfasser], Nassir [Akademischer Betreuer] [Gutachter] Navab, and Greg Michael [Gutachter] Osgood. "Multi-modal Registration and Robotic Imaging for Computer Assisted Surgery / Bernhard Fürst ; Gutachter: Nassir Navab, Greg Michael Osgood ; Betreuer: Nassir Navab." München : Universitätsbibliothek der TU München, 2016. http://d-nb.info/112178030X/34.
Full textWisniewski, Wit Tadeusz. "Subpixel Image Co-Registration Using a Novel Divergence Measure." Diss., Tucson, Arizona : University of Arizona, 2006. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1529%5F1%5Fm.pdf&type=application/pdf.
Full textCosa, Liñán Alejandro. "Analytical fusion of multimodal magnetic resonance imaging to identify pathological states in genetically selected Marchigian Sardinian alcohol-preferring (msP) rats." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90523.
Full text[ES] El abuso de alcohol es una de las mayores preocupaciones de las autoridades sanitarias en la Unión Europea. El consumo de alcohol en exceso afecta en mayor o menor medida la totalidad del organismo siendo el páncreas e hígado los más severamente afectados. Además de estos, el sistema nervioso central sufre deterioros relacionados con el alcohol y con frecuencia se presenta en paralelo con otras patologías psiquiátricas como la depresión u otras adicciones como la ludopatía. La presencia de estas comorbidades demuestra la complejidad de la patología en la que multitud de sistemas neuronales interaccionan entre sí. El uso imágenes de resonancia magnética (RM) han ayudado en el estudio de enfermedades psiquiátricas facilitando el descubrimiento de mecanismos neurológicos fundamentales en el desarrollo y mantenimiento de la adicción al alcohol, recaídas y el efecto de los tratamientos disponibles. A pesar de los avances, todavía se necesita investigar más para identificar las bases biológicas que contribuyen a la enfermedad. En este sentido, los modelos animales sirven, por lo tanto, a discriminar aquellos factores únicamente relacionados con el alcohol controlando otros factores que facilitan el desarrollo del alcoholismo. Estudios de resonancia magnética en animales de laboratorio y su posterior evaluación en humanos juegan un papel fundamental en el entendimiento de las patologías psiquatricas como la addicción al alcohol. La imagen por resonancia magnética se ha integrado en entornos clínicos como prueba diagnósticas no invasivas. A medida que el volumen de datos se va incrementando, se necesitan herramientas y metodologías capaces de fusionar información de muy distinta naturaleza y así establecer criterios diagnósticos cada vez más exactos. El poder predictivo de herramientas derivadas de la inteligencia artificial como el aprendizaje automático sirven de complemento a tradicionales métodos estadísticos. En este trabajo se han abordado la mayoría de estos aspectos. Se han obtenido datos multimodales de resonancia magnética de un modelo validado en la investigación de patologías derivadas del consumo del alcohol, las ratas Marchigian-Sardinian desarrolladas en la Universidad de Camerino (Italia) y con consumos de alcohol comparables a los humanos. Para cada animal se han adquirido datos antes y después del consumo de alcohol y bajo dos condiciones de abstinencia (con y sin tratamiento de Naltrexona, una medicaciones anti-recaídas usada como farmacoterapia en el alcoholismo). Los datos de resonancia magnética multimodal consistentes en imágenes de difusión, de relaxometría y estructurales se han fusionado en un esquema analítico multivariable incorporando dos herramientas generalmente usadas en datos derivados de neuroimagen, Random Forest y Support Vector Machine. Nuestro esquema fue aplicado con dos objetivos diferenciados. Por un lado, determinar en qué fase experimental se encuentra el sujeto a partir de biomarcadores y por el otro, identificar sistemas cerebrales susceptibles de alterarse debido a una importante ingesta de alcohol y su evolución durante la abstinencia. Nuestros resultados demostraron que cuando biomarcadores derivados de múltiples modalidades de neuroimagen se fusionan en un único análisis producen diagnósticos más exactos que los derivados de una única modalidad (hasta un 16% de mejora). Biomarcadores derivados de imágenes de difusión y relaxometría discriminan estados experimentales. También se han identificado algunos aspectos innatos que están relacionados con posteriores comportamientos con el consumo de alcohol o la relación entre la respuesta al tratamiento y los datos de resonancia magnética. Resumiendo, a lo largo de esta tesis, se demuestra que el uso de datos de resonancia magnética multimodales en modelos animales combinados en esquemas analíticos multivariados es una herramienta válida en el entendimiento de patologías
[CAT] L'abús de alcohol es una de les majors preocupacions per part de les autoritats sanitàries de la Unió Europea. Malgrat la dificultat de establir xifres exactes, se estima que uns 23 milions de europeus actualment sofreixen de malalties derivades del alcoholisme amb un cost que supera els 150.000 milions de euros per a la societat. Un consum de alcohol en excés afecta en major o menor mesura el cos humà sent el pàncreas i el fetge el més afectats. A més, el cervell sofreix de deterioraments produïts per l'alcohol i amb freqüència coexisteixen amb altres patologies com depressió o altres addiccions com la ludopatia. Tot aquest demostra la complexitat de la malaltia en la que múltiple sistemes neuronals interactuen entre si. Tècniques no invasives com el encefalograma (EEG) o imatges de ressonància magnètica (RM) han ajudat en l'estudi de malalties psiquiàtriques facilitant el descobriment de mecanismes neurològics fonamentals en el desenvolupament i manteniment de la addició, recaiguda i la efectivitat dels tractaments disponibles. Tot i els avanços, encara es necessiten més investigacions per identificar les bases biològiques que contribueixen a la malaltia. En aquesta direcció, el models animals serveixen per a identificar únicament dependents del abús del alcohol. Estudis de ressonància magnètica en animals de laboratori i posterior avaluació en humans jugarien un paper fonamental en l' enteniment de l'ús del alcohol. L'ús de probes diagnostiques no invasives en entorns clínics has sigut integrades. A mesura que el volum de dades es incrementa, eines i metodologies per a la fusió d' informació de molt distinta natura i per tant, establir criteris diagnòstics cada vegada més exactes. La predictibilitat de eines desenvolupades en el camp de la intel·ligència artificial com la aprenentatge automàtic serveixen de complement a mètodes estadístics tradicionals. En aquesta investigació se han abordat tots aquestes aspectes. Dades multimodals de ressonància magnètica se han obtingut de un model animal validat en l'estudi de patologies relacionades amb el consum d'alcohol, les rates Marchigian-Sardinian desenvolupades en la Universitat de Camerino (Italià) i amb consums d'alcohol comparables als humans. Per a cada animal es van adquirir dades previs i després al consum de alcohol i dos condicions diferents de abstinència (amb i sense tractament anti-recaiguda). Dades de ressonància magnètica multimodal constituides per imatges de difusió, de relaxometria magnètica i estructurals van ser fusionades en esquemes analítics multivariats incorporant dues metodologies validades en el camp de neuroimatge, Random Forest i Support Vector Machine. Nostre esquema ha sigut aplicat amb dos objectius diferenciats. El primer objectiu es determinar en quina fase experimental es troba el subjecte a partir de biomarcadors obtinguts per neuroimatge. Per l'altra banda, el segon objectiu es identificar el sistemes cerebrals susceptibles de ser alterats durant una important ingesta de alcohol i la seua evolució durant la fase del tractament. El nostres resultats demostraren que l'ús de biomarcadors derivats de varies modalitats de neuroimatge fusionades en un anàlisis multivariat produeixen diagnòstics més exactes que els derivats de una única modalitat (fins un 16% de millora). Biomarcadors derivats de imatges de difusió i relaxometria van contribuir de distints estats experimentals. També s'han identificat aspectes innats que estan relacionades amb posterior preferències d'alcohol o la relació entre la resposta al tractament anti-recaiguda i les dades de ressonància magnètica. En resum, al llarg de aquest treball, es demostra que l'ús de dades de ressonància magnètica multimodal en models animals combinats en esquemes analítics multivariats són una eina molt valida en l'enteniment i avanç de patologies psiquiàtriques com l'alcoholisme.
Cosa Liñán, A. (2017). Analytical fusion of multimodal magnetic resonance imaging to identify pathological states in genetically selected Marchigian Sardinian alcohol-preferring (msP) rats [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/90523
TESIS
Stimpel, Bernhard [Verfasser], Andreas [Akademischer Betreuer] Maier, Andreas [Gutachter] Maier, and Ge [Gutachter] Wang. "Multi-modal Medical Image Processing with Applications in Hybrid X-ray/Magnetic Resonance Imaging / Bernhard Stimpel ; Gutachter: Andreas Maier, Ge Wang ; Betreuer: Andreas Maier." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2021. http://d-nb.info/1227040881/34.
Full textAl-Taie, Ahmed A. Abdulredha [Verfasser], Lars [Akademischer Betreuer] Linsen, Horst [Akademischer Betreuer] Hahn, and Timo [Akademischer Betreuer] Ropinski. "Uncertainty Estimation and Visualization in Segmenting Uni- and Multi-modal Medical Imaging Data / Ahmed A. Abdulredha Al-Taie. Betreuer: Lars Linsen. Gutachter: Lars Linsen ; Horst Hahn ; Timo Ropinski." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2016. http://d-nb.info/1081256249/34.
Full textZhang, Leilei. "Drug Loaded Multifunctional Microparticles for Anti-VEGF Therapy of Exudative Age-related Macular Degeneration." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1356106478.
Full textBatallé, Bolaño Dafnis. "Brain connectivity network models based on multi-modal MRI to study brain reorganization of prenatal origin using intrauterine growth restriction as a model." Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/283283.
Full textAquesta tesis doctoral està centrada en l'aplicació de models de xarxa del cervell obtinguts a partir de diferents modalitats de ressonància magnètica (RM) per caracteritzar anomalies en el desenvolupament d'origen prenatal utilitzant la restricció de creixement intrauterí (RCIU) com a model clínic. La tesi està presentada com a compendi de quatre estudis publicats en revistes internacionals de primer quartil. Cada un dels estudis està centrat en la caracterització de la RCIU mitjançant xarxes cerebrals obtingudes a partir d'una modalitat de RM determinada en una etapa pediàtrica diferent, en la vida de subjectes amb RCIU. Així doncs, el primer estudi es centra en la caracterització de la reorganització cerebral produïda per RCIU a l'any de vida mitjançant xarxes cerebrals estructurals basades en RM per difusió. En aquest estudi es demostra que les característiques de xarxa en els subjectes amb RCIU presenten una sèrie d'alteracions relacionades amb un neuro-desenvolupament futur anormal. El segon projecte analitza la utilització de xarxes estructurals cerebrals basades en RM anatòmica convencional per caracteritzar alteracions en nens d'un any amb RCIU. Es demostra que efectivament amb aquesta tècnica també es troben alteracions en els infants amb IUGR, i que aquestes alteracions estan també relacionades amb problemes en el neuro-desenvolupament posterior. En el tercer projecte s'utilitza un model animal de conill amb RCIU per explorar les alteracions en la xarxa cerebral estructural que persisteix a llarg termini. Es demostra que efectivament existeixen alteracions en la organització estructural del cervell persistents a llarg termini i s'observa un efecte compensatori en els subjectes amb RCIU. En el quart projecte s'analitzen les xarxes cerebrals funcional en neonats amb RCIU, demostrant que aquesta condició prenatal genera una reorganització en la connectivitat cerebral que té un substrat funcional, que es pot observar des d'etapes molt precoces de la vida i que està relacionada amb resultats de neuro-comportament.
Manook, André [Verfasser], Markus [Akademischer Betreuer] Schwaiger, and Johann [Akademischer Betreuer] Förstl. "Preclinical PET as Translational Tool for Imaging Alzheimer's Disease : Small-Animal PET Imaging of Beta-Amyloid Plaques with [11C]PiB, its Multi-Modal Validation and Application to the Evaluation and Ranking of New AD Tracers / André Manook. Gutachter: Markus Schwaiger ; Johann Förstl. Betreuer: Markus Schwaiger." München : Universitätsbibliothek der TU München, 2012. http://d-nb.info/1047883465/34.
Full textMarashdeh, Qussai Mohammad. "Advances in electrical capacitance tomography." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148591259.
Full textToy, Randall. "The Effect of Particle Size and Shape on the In Vivo Journey of Nanoparticles." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1396887959.
Full textSilvestri, Erica. "Simultaneous PET/MRI for Connectivity Mapping: Quantitative Methods in Clinical Setting." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426715.
Full textEngholm, Marcus. "Ultrasonic Arrays for Sensing and Beamforming of Lamb Waves." Doctoral thesis, Uppsala universitet, Signaler och System, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122189.
Full textBedard, Noah. "Multi-Modal Imaging Techniques for Early Cancer Diagnostics." Thesis, 2012. http://hdl.handle.net/1911/64685.
Full textLaRocca, Francesco. "Development of Multi-modal and Super-resolved Retinal Imaging Systems." Diss., 2016. http://hdl.handle.net/10161/12239.
Full textAdvancements in retinal imaging technologies have drastically improved the quality of eye care in the past couple decades. Scanning laser ophthalmoscopy (SLO) and optical coherence tomography (OCT) are two examples of critical imaging modalities for the diagnosis of retinal pathologies. However current-generation SLO and OCT systems have limitations in diagnostic capability due to the following factors: the use of bulky tabletop systems, monochromatic imaging, and resolution degradation due to ocular aberrations and diffraction.
Bulky tabletop SLO and OCT systems are incapable of imaging patients that are supine, under anesthesia, or otherwise unable to maintain the required posture and fixation. Monochromatic SLO and OCT imaging prevents the identification of various color-specific diagnostic markers visible with color fundus photography like those of neovascular age-related macular degeneration. Resolution degradation due to ocular aberrations and diffraction has prevented the imaging of photoreceptors close to the fovea without the use of adaptive optics (AO), which require bulky and expensive components that limit the potential for widespread clinical use.
In this dissertation, techniques for extending the diagnostic capability of SLO and OCT systems are developed. These techniques include design strategies for miniaturizing and combining SLO and OCT to permit multi-modal, lightweight handheld probes to extend high quality retinal imaging to pediatric eye care. In addition, a method for extending true color retinal imaging to SLO to enable high-contrast, depth-resolved, high-fidelity color fundus imaging is demonstrated using a supercontinuum light source. Finally, the development and combination of SLO with a super-resolution confocal microscopy technique known as optical photon reassignment (OPRA) is demonstrated to enable high-resolution imaging of retinal photoreceptors without the use of adaptive optics.
Dissertation
Lin, YING CHIA. "Multi-modal Investigation of Cortical Connectivity at Multiple Scales." Doctoral thesis, 2014. http://hdl.handle.net/11562/700359.
Full textIn neuroimaging, a great interest is currently being directed to diffusion magnetic resonance imaging (dMRI) which, in addition to functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), electroencephalography (EEG), functional near-infrared-spectroscopy (fNIRS) provides a large spectrum of measurements to enlighten the brain structure and function. The success of dMRI is deeply rooted in the powerful concept that during their random, diffusion-driven displacements molecules probe tissue structure at a microscopic scale well beyond the usual image resolution. Diffusion imaging opens several perspectives for what concerns the development of new non invasive techniques not only to optimize the diagnosis and therapy planning for oncological patients but also to discover the anatomical structure of the human cortex.Though, many issues still remains to be solved. Among the most striking are the reconstruction of the ODF (orientation distribution function) in noisy conditions, its reproducibility over time points acquisitions, the intra and inter-subject registration and the integration of functional information about the cortical activity within the reconstruction of the fiber network from raw data. This is of paramount importance as it would allow to link the functional information to the structural anatomical substrate. This thesis aims at investigating a subset of such issues in order to trace the path to the overall solution. In particular, it aims at integrating multiscale space-scale processing, diffusion imaging and cortical signals to (i) improve the orientation diffusion function (ODF) reconstruction, reproducibility and robustness to noise; (ii) contribute new methods for the registration of intra and inter-modality multidimensional data (tensors, probability distributions); (iii) explore the possibility of integrating functional signals in the processing pipeline in order to guide the fiber reconstruction and as a potential mean of validation of the proposed methods.From the clinical point of view, the goal of this thesis is to make tractography exploitable in daily practice for surgical planning and follow-up, assessment of degenerative pathologies as well as of pharmacological treatments.
"Brain Damage in Chronic Ketamine Users: A Multi-modal Imaging Study." 2016. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1292206.
Full text181名受試者自2011年10月至2015年7月参加了本研究。他們分為2組:氯胺酮使用者組 (124名)和健康對照組 (57名)。所有受試者均完成了包括自評問卷篩查和面談的精神狀況評估,以及一套詳細的認知測試。該測試涵蓋一般智慧、詞語記憶、視覺記憶、執行功能和語言。然後他們均會接受腦部磁力共振掃描檢查。所獲得的結構磁共振和靜息態功能磁共振資料分別通過感興趣區域技術和獨立成分分析技術進行分析。
在氯胺酮使用者組中很多人曾經用過其他活性物質,如可卡因和大麻。在他們中,25%被診斷有抑鬱障礙,15.3%被診斷有焦慮症。氯胺酮使用者組在一般智慧、詞語記憶、視覺記憶和工作記憶、執行功能方面的測試表現也差於健康對照組。
氯胺酮使用者組右側眶額葉、右內側前額葉、左側蒼白球、左側海馬、右側伏隔核的灰質體積小於對照組,而左側尾狀核的體積則大於對照組。在氯胺酮使用者組中,右側眶額葉、右內側前額葉、右側伏隔核灰質體積與氯胺酮成癮嚴重程度呈負相關關係。右側眶額葉、右內側前額葉、左側尾狀核、左側蒼白球、左側海馬、和右側伏隔核也與認知測試表現呈相關關係。
與健康對照組相比,氯胺酮使用組靜息態功能網路連接在右側前額眶內部分、左側前扣帶回和半扣帶回部分、右側顳上回和雙側小腦vermic葉VI下降,而在左側枕中回增強。
本研究顯示長期氯胺酮使用對大腦損害有影像學依據。長期氯胺酮使用與特定腦區灰質體積下降、靜息態腦功能網絡連接改變有關。上述腦結構和腦功能異常可能也是氯胺酮使用與認知功能失調的精神病理學機制。氯胺酮所致的這些大腦結構及功能變化是否可逆轉尚需要縱向或前瞻性的研究來證實。
The objectives of this study were to explore the pattern of grey matter volume reduction and functional connectivity abnormalities in the brain, and to assess the correlations between these brain abnormalities and cognitive impairment in chronic ketamine users.
One hundred and eighty-one participants took part in this study from October 2011 to July 2015. They were divided into two groups: ketamine users (n = 124) and healthy controls (n = 57). Each participant completed self-rated questionnaires and face-to-face interviews for psychiatric assessment, and took a detailed cognitive battery test that covered general intelligence, verbal and visual memory, executive function and language. All of the participants then underwent a magnetic resonance imaging (MRI) scan of the brain. The acquired structural MRI data and resting-state functional MRI data were analysed by region of interest technique and independent component analysis, respectively.
Many ketamine users used other substances, such as cocaine and cannabis. In the ketamine users group, 25% were diagnosed with a mood disorder and 15.3% with an anxiety disorder. The ketamine users performed worse than the healthy control group in tests of general intelligence, verbal memory, visual memory and working memory and executive function.
Grey matter volume was reduced in the right orbitofrontal cortex, right medial prefrontal cortex, left globus pallidus, left hippocampus, and right nucleus accumbens in the ketamine users group. In contrast, grey matter volume in the left caudate was larger in the ketamine users group than in the healthy control group. The grey matter volumes of the right orbitofrontal cortex, right medial prefrontal cortex, and right nucleus accumbens were negatively correlated with the severity of ketamine dependence. The right orbitofrontal cortex, right medial prefrontal cortex, left caudate, left globus pallidus, left hippocampus, and right nucleus accumbens volumes were also correlated with performance in the cognitive tests.
The ketamine users group showed significantly decreased functional connectivity of the default mode network in the orbital part of the right inferior frontal gyrus, left anterior cingulate and paracingulate gyri, right superior temporal gyrus and bilateral vermic lobule VI of cerebellum; and increased functional connectivity in the left middle occipital gyrus compared with the healthy control group.
This study found imaging evidence of brain damage in chronic ketamine users. Chronic ketamine use was associated with reduced grey matter volumes and altered functional connectivity of the default mode network in certain regions of the brain. These st
Lin, Yong.
Thesis Ph.D. Chinese University of Hong Kong 2016.
Includes bibliographical references (leaves ).
Abstracts also in Chinese.
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Po, Ming Jack. "Multi-scale Representations for Classification of Protein Crystal Images and Multi-Modal Registration of the Lung." Thesis, 2015. https://doi.org/10.7916/D87M06MZ.
Full textTammaro, Olimpia. "A microfluidic platform to design nanostructures with improved multi-modal imaging properties." Tesi di dottorato, 2020. http://www.fedoa.unina.it/13136/7/Olimpia_Tammaro_32.pdf.
Full text"Variational and spline based multi-modal non-rigid medical image registration and applications." Thesis, 2005. http://library.cuhk.edu.hk/record=b6074158.
Full textIn the third application, we use the non-rigid registration method to register the different sweeps of freehand ultrasound images. We setup a 3D freehand ultrasound imaging system to capture images of a human anatomy such as liver, prostate, brain tumor and fetus. The arbitrary scanned image slices are reconstructed and resliced into volumetric dataset. We use a B-spline based non-rigid registration method to compounding different freehand ultrasound sweeps. This technique can be used to make 3D ultrasound models of fetus and other organs.
Medical image registration is an active research area during the last two decades. The registration technique can be widely used in the applications of the computer aided surgery, brain mapping and pathological detection and analysis. With the development of the computing power, fast and accurate registration techniques have been developed into necessary tools for quantitative analysis of the medical image.
Non-rigid registration methods can be used in atlas based image segmentation, inter-subject brain image registration and 3D freehand ultrasound modeling. In one of our proposed novel segmentation methods, we interleave the segmentation and the registration processes by using the segmentation to provide the anatomical constraints for registration to improve the atlas based non-rigid registration. This updated registration can be used to improve the new segmentation. This process is repeated until a good result in segmentation is obtained.
The registration methods can be classified into rigid and non-rigid registrations according to whether the anatomy is locally deformed or not. According to the sensor by which the images are taken, the registration will be divided into mono-modal and multi-modal image registration. Since the invention of the medical imaging devices, great diversity of medical imaging sensors have been developed with different physical principles. In practice we have to face the problem of multi-modal registration. In medical image analysis, we often have to consider the images of the human anatomy with deformable characteristics. In order to achieve this goal we need to use the voxel based registration method which considers all of the voxel information of the images in matching. There are several non-rigid registration approaches. However, the variational approach of non-rigid registration can represent the registration problem into a well-posed problem with a well-founded mathematical base. In our work, we considered the forward and backward deformation functions and proposed a variational approach for a new consistent multi-modal non-rigid registration method. By this way, we will find the forward and backward transform to be close to the inverse of each other. This makes the correspondence between two images more consistent and accurate. We use both explicit and implicit difference method to solve the Euler-Lagrange equation and the results show significant improvements in the transformation inverse consistency. Although variational approach for multi-modal non-rigid registration can solve the non-rigid registration problem well, generally speaking, it is slow. The displacement of each voxel has to be calculated and the iteration time is very long since the number of the unknowns are large. Although a multi-resolution strategy can be used to speed up, the registration problem is still slow when registering large medical datasets. The 3D B-spline based method has been used as an efficient method to register medical images since only a small number of control points are used to manipulate the local deformation field. In our work, we developed a 3D B-spline based consistent multi-modal non-rigid registration method with an explicit representation of derivatives. The conventional optimization methods can be used to find the optimal parameters. We use a hierarchical B-spline refinement method to approximate the deformation function from larger to smaller scale. Since the derivatives of the cost function is represented in an explicit way, the computing is reduced. It is more efficient than directly computing the derivative of the cost function by using a numerical evaluation method. The method can be considered as a multi-grid method for solving the consistent variational registration problem. The computing speed is increased by several times. The B-spline based method needs far less iterations to converge as its number of unknowns is small.
Zhang Zhijun.
"October 2005."
Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6645.
Thesis (Ph.D.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (p. 209-233).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstracts in English and Chinese.
School code: 1307.
Namati, Jacqueline Thiesse McLennan Geoffrey. "Phenotype characterization of lung structure in inbred mouse strains using multi modal imaging techniques y Jacqueline Thiesse Namati." 2009. http://ir.uiowa.edu/etd/256/.
Full textSanny, Dween Rabius. "Development of advanced regularization methods to improve photoacoustic tomography." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/5333.
Full textShaw, 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.
Full textShaw, 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.
Full textJaya, Prakash *. "Development of Next Generation Image Reconstruction Algorithms for Diffuse Optical and Photoacoustic Tomography." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3112.
Full textJaya, Prakash *. "Development of Next Generation Image Reconstruction Algorithms for Diffuse Optical and Photoacoustic Tomography." Thesis, 2014. http://hdl.handle.net/2005/3112.
Full textShaw, 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.
Full textShaw, Calvin B. "Development of Sparse Recovery Based Optimized Diffuse Optical and Photoacoustic Image Reconstruction Methods." Thesis, 2014. http://hdl.handle.net/2005/3007.
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