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 10 of 10 for “"DCE-MRI data"”.
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Quantification of cardiac magnetic resonance imaging perfusion in the clinical setting at 3T
Dynamic contrast enhanced (DCE) cardiac magnetic resonance imaging (MRI) is well-established as a non-invasive method for qualitatively detecting obstructive coronary artery disease (CAD) which can impair myocardial blood flow and may result in myocardial infarction. Mathematical modelling of …
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Analysis of dynamic contrast enhanced MRI datasets
… analysis of 4D dynamic contrast enhanced MRI datasets (DCE-MRI) of the habd and wrist relating to rheumatoid arthritis (RA) studies. In DCE-MRI, sequences of images are acquired from the joints over time, during which a contrast agent pre-injected into a patient enhances disease affected …
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The analysis of dynamic contrast-enhanced magnetic resonance imaging data: treatment effects, sampling rates and repeatability
… contrast-enhanced magnetic resonance imaging (DCE-MRI) data, primarily by means of pharmacokinetic models, in order to yield parameters which reflect the physiological properties of tumours. Historically, these analysis procedures have been complicated by varied sources of error, both …
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Improved Techniques For Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging For Detecting Vascular Permeability In The Central Nervous System
… contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial …
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Design and Implementation of Convex Analysis of Mixtures Software Suite
… the tasks of passing parameters and input data from Java to R, run R scripts in Java environment, read R results back to Java, display R generated figures, and so on. Furthermore, system stream redirection and multi-threads techniques are used to build a simple R messages displaying window …
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Measurement of The Vascular Input Function In Mice For Dce-Mri
DCE-MRI is an important technique in the study of small animal cancer models because its sensitivity to vascular changes opens the possibility of quantitative assessment of early therapeutic response. However, extraction of physiologically descriptive parameters from DCE-MRI data relies upon …
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Towards image registration of dynamic contrast enhanced MRI using deep learning
Dynamic contrast enhanced (DCE)-MRI is a quantitative imaging technique used to monitor microvascular perfusion. It involves rapidly acquiring multiple T1-weighted images over a few minutes whilst injecting a contrast agent, which causes a rapid increase in image intensity. Each type of tissue …
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Unsupervised Signal Deconvolution for Multiscale Characterization of Tissue Heterogeneity
… gene expression, methylation and protein datasets, achieving very promising results validated by the ground truth or gene enrichment analysis. We integrated CAM with compartment modeling (CM) and developed multi-tissue compartment modeling (MTCM) algorithm, tested on real DCE-MRI data …
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Statistical Machine Learning for Multi-platform Biomedical Data Analysis
… the produced vast amount of imaging and genomic data stimulates various novel applications of statistical machine learning methods in many areas of biomedical research. The main objective is to assist biomedical investigators to better interpret, analyze, and understand the biomedical questions …
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Multi-Platform Molecular Data Integration and Disease Outcome Analysis
… on statistical evidence from a single level of data, without paying much attention to the integration of interacting multi-level data and the underlying biology. Advances in genomic techniques provide unprecedented power of characterizing the cancer tissue in a more complete manner than before, …