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 194 for “"imaging data"”.
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Ensemble Tree-Based Machine Learning for Imaging Data
<p>In particular medical imaging data, such as positron emission tomography (PET), computed tomography (CT), and fluorescence intravital microscopy (IVM), have become prevalent for use in a wide variety of applications, from diagnostic purposes, tracking diseases' progress, and monitoring the …
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Automatic Detection of Brain Functional Disorder Using Imaging Data
… all subjective. Functional Magnetic Resonance Imaging (fMRI) data has become a popular tool to understand the functioning of the brain such as identifying the brain regions responsible for different cognitive tasks or analyzing the statistical differences of the brain functioning between the …
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Processing strategies for functional magnetic resonance imaging data sets
Thesis (Ph.D.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 1999.
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Modelling Effective Connectivity in Functional Magnetic Resonance Imaging Data by State Space Models
… It takes the temporal information in the fMRI data into consideration explicitly and can be used to model the relationship among multiple region-of-interests in the brain. Dynamic characteristics of connectivity can also be investigated. The proposed approach is very flexible and can be used to …
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Automated Analysis of Astrocyte Activities from Large-scale Time-lapse Microscopic Imaging Data
… quantify the complex activity in astrocyte imaging datasets, with an event defined jointly by its spatial occupancy and temporal dynamics. To model the signal propagation in astrocyte, we developed graphical time warping (GTW) to align curves with graph-structured constraints and integrated …
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New Approaches for Data-mining and Classification of Mental Disorder in Brain Imaging Data
Brain imaging data are incredibly complex and new information is being learned as approaches to mine these data are developed. In addition to studying the healthy brain, new approaches for using this information to provide information about complex mental illness such as schizophrenia are needed. …
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Brain Signal Quantification and Functional Unit Analysis in Fluorescent Imaging Data by Unsupervised Learning
… and quantify the rich patterns embedded in the data. However, existing methods often struggle, either due to their limited signal analysis capabilities or poor performance. Here we present Activity Quantification and Analysis (AQuA2), an innovative analysis platform built upon machine learning …
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Using thermal imaging data to explore behaviour in a critically endangered frog species, Craugastor ranoides
… temperature and physiological functions. Thermal imaging can be used as a non-invasive method to study thermal behaviour. Thermal images measure the surface temperature of species as well as surrounding substrate. The present study used Craugastor ranoides, to gain insights into different …
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Application of Radial Distribution Functions to Diffraction and Imaging Data: Interfacial Structures, Amorphous, Disordered Materials
… and development of a software tool called ImageDataExtractor. This auto-extracts microscopy images and then analyses them to afford quantitative information regarding particles in a sample, such as shape, size and distribution. It realises an opportunity for data-mining the ubiquity of readily …
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The analysis of dynamic contrast-enhanced magnetic resonance imaging data: treatment effects, sampling rates and repeatability
… of dynamic 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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Comparison of edge turbulence velocity analysis techniques using Gas Puff Imaging data on Alcator C-Mod
In the past, two methods for analyzing data from the Gas Puff Imaging diagnostic on Alcator C-Mod have been used. One uses temporal and spatial Fourier analysis to obtain wavenumber-frequency spectra, from which a phase velocity is computed [1, 2]. The other is based on time-delay cross-correlation …
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A novel approach to processing and visualizing mass spectrometry imaging data for a new perspective in untargeted analyses
… Among the key techniques, mass spectrometry imaging (MSI) stands out due to its ability to identify and spatially map metabolites within a single experiment. By combining molecular analysis with morphological visualization, MSI serves as a valuable complement to classical pathology, …
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Machine Learning Methods for Personalized Treatment Response Characterization Using Clinical Care Brain MRI and Non-Imaging Data in Multiple Sclerosis
… switching to a new DMT using baseline clinical data, especially brain magnetic resonance imaging (MRI). Two RRMS cohorts (2/3 women) at 169 and 75 participants were examined, used for training and semi-external testing, respectively. Six key clinical variables and common brain MRI sequences: …
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A Framework for 3D Mouse Brain Reconstruction: RNA-based Stitching of Adjacent Tissue Slices and Co-Registration of Multimodal Imaging Data
… through the tissue slices on a proof-of-concept dataset of three adjacent slices. Third, methods for co-transforming fluorescent protein imaging data were explored to fully resolve the cell boundaries between neurons. These three methods are necessary steps towards creating a fully-resolved, …
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Automated Identification and Tracking of Motile Oligodendrocyte Precursor Cells (OPCs) from Time-lapse 3D Microscopic Imaging Data of Cell Clusters in vivo
… time-lapse 3D in vivo fluorescence microscopic imaging techniques enables the observation and investigation into the migration of Oligodendrocyte precursor cells (OPCs) and its role in the central nervous system. However, current practice of image-based OPC motility analysis heavily relies on …
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Magnetic Resonance Imaging (Mri) Studies of the Rat Olfactory System
In vivo MR-imaging was also applied to study effects of neonatal, unilateral olfactory denervation on postnatal olfactory bulb growth. The in vivo imaging data were used to quantify the reduction in laminar volumes of the denervated bulb, compared to contralateral control bulb, unoperated normal …
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Orthogonally coded array for high-speed synthetic aperture radar (SAR) imaging
Synthetic aperture radar (SAR) imaging, for nondestructive testing (NDT) purposes, has been applied to a wide range of applications. Within the SAR family, many different imaging systems have been designed and developed to optimize the tradeoffs between image quality, resolution, image production …
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