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Showing 1 to 13 of 13 for “"Dynamic Contrast-Enhanced Magnetic Resonance Imaging"”.

  1. Quantification Of Vascular Parametric Indices Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging

    <p>Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a non-invasive method used to evaluate the biological activity in early clinical trials of novel drugs targeting the tumor vasculature using gadolinium-DTPA (Gd) as a contrast agent. However, it has some limitations, such as …

    wayne-thes Repository record for Quantification Of Vascular Parametric Indices Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (opens in a new tab)

  2. The analysis of dynamic contrast-enhanced magnetic resonance imaging data: treatment effects, sampling rates and repeatability

    This dissertation describes the analysis 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 …

    cambridge Repository record for The analysis of dynamic contrast-enhanced magnetic resonance imaging data: treatment effects, sampling rates and repeatability (opens in a new tab)

  3. Characterization of Biomaterials for Regenerative Medicine via Computational Fluid Flow Analysis of Dynamic Contrast EnhancedMagnetic Resonance Imaging (DCE-MRI) Images

    … Particle (MAP) hydrogels and others using Dynamic Contrast EnhancedMagnetic Resonance Imaging (DCE-MRI) and computational analysis of the images via MATLAB. The analysis was utilized to analyze the fluid flow through several different biomaterial types, allowing for observational …

    vt Repository record for Characterization of Biomaterials for Regenerative Medicine via Computational Fluid Flow Analysis of Dynamic Contrast Enhanced – Magnetic Resonance Imaging (DCE-MRI) Images (opens in a new tab)

  4. Improved Techniques For Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging For Detecting Vascular Permeability In The Central Nervous System

    <p>Dynamic 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 …

    uthsc Repository record for Improved Techniques For Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging For Detecting Vascular Permeability In The Central Nervous System (opens in a new tab)

  5. Flexible Radial Data Acquisition and Image Reconstruction Strategies for Breast Magnetic Resonance Imaging

    Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has a high sensitivity (71- 100%) for detecting breast cancers. DCE-MRI is approximately twice as sensitive as mammography for patients who are genetically predisposed to breast cancer, who have an elevated lifetime risk (up to 85%) of …

    toronto-retro Repository record for Flexible Radial Data Acquisition and Image Reconstruction Strategies for Breast Magnetic Resonance Imaging (opens in a new tab)

  6. Examining location-specific invasive patterns: linking interstitial fluid and vasculature in glioblastoma

    … interstitial fluid flow in the brain using dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), a clinically used, non-invasive imaging modality. We highlight the versatility of the technique and the possibilities that could arise from widespread adoption into existing …

    vt Repository record for Examining location-specific invasive patterns: linking interstitial fluid and vasculature in glioblastoma (opens in a new tab)

  7. Development of an Experimental and Computational Pipeline for Characterizing the Mechanical Properties and Micromechanical Environment within In Vitro 3D Printed Bone Tissue Engineered Scaffolds

    … annually in the United States1. While blood- and imaging-based bone turnover biomarkers have been thoroughly investigated throughout the healing process of bone, there is still a lack of understanding on how well these biomarkers can predict union in individual patients. Although conventional …

    vt Repository record for Development of an Experimental and Computational Pipeline for Characterizing the Mechanical Properties and Micromechanical Environment within In Vitro 3D Printed Bone Tissue Engineered Scaffolds (opens in a new tab)

  8. Methods for the Prediction of Osteoradionecrosis resulting from Head and Neck Cancer Radiation Therapy

    … method to achieve this goal is by evaluating imaging biomarkers associated with ORN development. With appropriate imaging biomarkers, HNC treatment can be optimized to reduce the prevalence of ORN and allow for earlier ORN detection.</p> <p>In this dissertation, several imaging biomarkers were …

    uthsc Repository record for Methods for the Prediction of Osteoradionecrosis resulting from Head and Neck Cancer Radiation Therapy (opens in a new tab)

  9. Quantitative Imaging For Precision Medicine In Head and Neck Cancer Patients

    … if prediction models using quantitative imaging measures in head and neck squamous cell carcinoma (HNSCC) patients could be improved when noise due to imaging was reduced. This was investigated separately for salivary gland function using dynamic contrast enhanced magnetic resonance

    uthsc Repository record for Quantitative Imaging For Precision Medicine In Head and Neck Cancer Patients (opens in a new tab)

  10. Using a voxel-based krogh cylinder array to simulate microvascular contrast enhancement

    … to better simulate microscopic and voxel-based dynamic contrast enhancement in magnetic resonance imaging. Specifically, errors imposed by the traditional two-compartment model are reduced by introducing a novel Krogh cylinder network. The two-compartment model was developed for macroscopic …

    uiuc Repository record for Using a voxel-based krogh cylinder array to simulate microvascular contrast enhancement (opens in a new tab)

  11. Statistical Machine Learning for Multi-platform Biomedical Data Analysis

    … The need to analyze 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 …

    vt Repository record for Statistical Machine Learning for Multi-platform Biomedical Data Analysis (opens in a new tab)

  12. Multi-Platform Molecular Data Integration and Disease Outcome Analysis

    … therapeutic response. This can be done through dynamic imaging, in which a series of images at different time instances are acquired for a specific tumor site after injection of a contrast agent. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive tool to examine …

    vt Repository record for Multi-Platform Molecular Data Integration and Disease Outcome Analysis (opens in a new tab)