Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 67 for “"Multi-modality"”.
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Multi-Modality Assessment Of Language Function
… as part of this dissertation represents a multi-modality study of language structure and function. The primary functional modality employed is task-related electrocorticography (ECoG). This is complemented by discussion and evaluation of previously published functional magnetic resonance …
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Individualized learning and integration for multi-modality data
Individualized modeling and multi-modality data integration have experienced an explosive growth in recent years, which have many important applications in biomedical research, personalized education and marketing. Conventional statistical models usually fail to capture significant variation due to …
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Development of Multi-Modality Imaging Cart for Barrett’s Esophagus
… building a risk progression model by using a multi-modal imaging system combining autofluorescence spectroscopy, optical coherence tomography, and diffuse reflectance spectroscopy to perform label-free optical biopsies on ex-vivo tissue. These images will be co-registered and validated with …
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Development and application of a multi-modality inverse treatment planning system
… which can be used with any available radiation modality and makes use of improved dose calculation algorithms. For the dose calculation engine a method was developed where the dose deposited in every voxel by all beams is precalculated and for later use stored in a dose matrix. This enables the …
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A novel automated approach of multi-modality retinal image registration and fusion
Biomedical image registration and fusion are usually scene dependent, and require intensive computational effort. A novel automated approach of feature-based control point detection and area-based registration and fusion of retinal images has been successfully designed and developed. The new …
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Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
Triple-negative breast cancers (TNBCs) are pathologically defined by the absence of estrogen, progesterone, and HER2 receptors. Compared to other breast cancers, TNBC has a relatively high mortality. In addition, TNBC patients are more likely to relapse in the first few years after treatment, and …
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Mammary Window Chamber Model: A Platform For Multi-Modality Cancer Imaging And Dynamic Oxygenation Assessment
… model are described in the context of enabling multiple imaging modalities (optical, MR and nuclear) to be complementarily applied. The developed model, specifically geared toward breast cancer, is orthotopic and supports uninhibited tumor growth into the body of the animal. The three main …
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Small Gadolinium Oxide Contrast Agents: A Novel Class of Multi-Modality Contrast and Therapeutic Agents
… contrast agents as a novel class of prototype multi-modality contrast agent. In chapter 2 an analysis of the MR contrast enhancement and X-ray attenuation properties of small particulate gadolinium oxide and gadolinium oxide albumin microspheres for MR and CT imaging is presented. MR …
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Novel multi-parametric, multi-modality imaging for the assessment of tumour biology in renal cell carcinoma
… to detect early response and predict outcome. Multiparametric MRI demonstrated physiological changes after 12 days of anti-vascular therapy, which were compatible with its mechanism of action. The reduction in tumour diffusivity correlated with the long-term volumetric response and …
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Multi-modality image fusion by real-time tracking of volumetric brain deformation during Image Guided Neurosurgery
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Dynamic Non-Destructive Monitoring of Bioengineered Blood Vessel Development within a Bioreactor using Multi-Modality Imaging
… of biodegradable PCL-collagen and seeded with multipotent mesenchymal cells. We imaged the maturing grafts over 30 days to assess changes in graft wall thickness. We also monitored change in optical properties of the grafts based on free-space OCT scanning. Finally, in order to visualize the …
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Multi-modality imaging assessment of cerebral small vessel disease biomarkers after stroke due to spontaneous intracerebral haemorrhage
… exclude CAA-associated lobar ICH. I performed a multicentre external validation study of the Edinburgh criteria. In a preliminary analysis, the CT-only diagnostic criteria (subarachnoid haemorrhage and finger-like projections) had high sensitivity (88%) and good specificity (84%) for …
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Multi-modality Imaging to Determine the Role of Calcification and Inflammation on Restenosis Rates Following Lower Limb Angioplasty
Peripheral arterial disease (PAD) is a major cause of CVD-related death and disability. Restenosis is common, occurring in 40-60% of cases at 12 months following lower extremity percutaneous transluminal angioplasty (PTA). No such method exists to identify patients who are at risk from restenosis …
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Noninvasive Multi-Modality Studies of Cardiac Electrophysiology, Mechanics, and Anatomical Substrate in Healthy Adults, Arrhythmogenic Cardiomyopathy, and Heart Failure
… Imaging (ECGI) is a noninvasive modality for imaging cardiac electrophysiology. By combining recordings of the voltage distribution on the torso surface with anatomical images of the heart-torso geometry, ECGI reconstructs voltages on the epicardium. This thesis applies ECGI to …
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Preliminary evaluation of X-ray fluorescence imaging and ultra-high resolution CdTe PET: the progression toward broader spectrum multi-modality tools for small animal neuroscientific investigation
… of imaging small transgenic animals. The first modality, a benchtop XFET system, used an incident monochromatic 17.4 keV beam with a slit mounted Andor Ikon-L Charge Coupled Device (CCD) with a featured pixelated element size of 13.5 μm x 13.5 μm. Samples for the XFET system were mounted on a …
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Bayesian Relevance for Enhanced Human-Robot Collaboration
… Bayesian Network to predict human intent from a multi modality information framework. A demonstration of a HRC task, using a UR5 robot, exemplifies BR’s real-time human intent prediction and collision avoidance. Evaluations demonstrate that our multi-modality BR model predicts human intent within …
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The Active Ingredients of Integral Stimulation Treatment: The Efficacy of Auditory, Visual, and Auditory-Visual Cues for Treatment of Childhood Apraxia of Speech
… aimed to examine the efficacy of single- and multi-modality cues in IS treatment. The experiment was administered as a single-case, alternating treatments design consisting of three conditions (auditory-only, visual-only, and simultaneous auditory and visual). Two participants with CAS …
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Development of registration methods for cardiovascular anatomy and function using advanced 3T MRI, 320-slice CT and PET imaging
… clinical management of cardiovascular disease. Multi-modality data is helping improve diagnosis accuracy, and individualize treatment. The Clinical Research Imaging Centre at the University of Edinburgh, has been involved in a number of cardiovascular clinical trials using longitudinal computed …
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Development and Full Body Validation of a 5th Percentile Female Finite Element Model
… the explicit purpose of FEM development. This multi-modality dataset was leveraged for the development of a posture specific CAD model of the F05.
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Scalable Machine Learning Methods For The Analysis Of Single-Cell Transcriptomics And Multiomics Data
… (scRNA-seq) technologies. More recently, multi-modality sequencing technologies such as Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) have emerged, which allow investigators to profile multiple forms of biological expression (in this case RNA and protein …
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