Browsing by Subject "Medical imaging"
Now showing items 1-20 of 145
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3D dynamic in vivo imaging of joint motion: application to measurement of anterior cruciate ligament function
(2019)More than 400,000 anterior cruciate ligament (ACL) injuries occur annually in the United States, 70% of which are non-contact. A severe consequence of ACL injury is the increased risk of early-onset of osteoarthritis (OA). ... -
A Comparative Study of Radiomics and Deep-Learning Approaches for Predicting Surgery Outcomes in Early-Stage Non-Small Cell Lung Cancer (NSCLC)
(2022)Purpose: To compare radiomics and deep-learning (DL) methods for predicting NSCLC surgical treatment failure. Methods: A cohort of 83 patients undergoing lobectomy or wedge resection for early-stage NSCLC from our institution ... -
A Comprehensive Framework for Adaptive Optics Scanning Light Ophthalmoscope Image Analysis
(2019)Diagnosis, prognosis, and treatment of many ocular and neurodegenerative diseases, including achromatopsia (ACHM), require the visualization of microscopic structures in the eye. The development of adaptive optics ophthalmic ... -
A Prospective Method for Selecting the Optimal SPECT Pinhole Trajectory
(2021)AbstractPinhole imaging is a widely used method for high spatial resolution single gamma imaging with a small required field of view (FOV). Many factors affect pinhole imaging: (I) the geometric parameters of the pinhole ... -
ABSOLUTE QUANTIFICATION IN SMALL PLANT RADIOTRACER STUDIES
(2017)The main objective of this dissertation research is to develop measurement and data-analysis tools for improving the quantitative accuracy of radiotracer studies of small plants, e.g., grasses in their early growth stages ... -
Accelerating Brain DTI and GYN MRI Studies Using Neural Network
(2021)There always exists a demand to accelerate the time-consuming MRI acquisition process. Many methods have been proposed to achieve this goal, including deep learning method which appears to be a robust tool compared ... -
Adaptive Data Representation and Analysis
(2018)This dissertation introduces and analyzes algorithms that aim to adaptively handle complex datasets arising in the real-world applications. It contains two major parts. The first part describes an adaptive model of 1-dimensional ... -
Advanced Techniques for Image Quality Assessment of Modern X-ray Computed Tomography Systems
(2016)X-ray computed tomography (CT) imaging constitutes one of the most widely used diagnostic tools in radiology today with nearly 85 million CT examinations performed in the U.S in 2011. CT imparts a relatively high amount ... -
An Exploration of the Feasibility of Combining Radiation Therapy with Psoralen Phototherapy
(2018)Radiation therapy (RT) has been a standard-of-care treatment for many localized cancers for decades. Despite being an effective treatment modality for many clinical presentations, the efficacy of RT against cancer can be ... -
An Investigation of Machine Learning Methods for Delta-radiomic Feature Analysis
(2018)Background: Radiomics is a process of converting medical images into high-dimensional quantitative features and the subsequent mining these features for providing decision support. It is conducted as a potential noninvasive, ... -
An Investigation of MR Sequences for Partial Volume Correction in PET Image Reconstruction
(2019)Brain Positron emission tomography (PET) has been widely employed for the clinic diagnosis of Alzheimer's disease (AD). Studies have shown that PET imaging is helpful in differentiating healthy elderly individuals, mild ... -
Assessing the feasibility of using deformable registration for on-board multi-modality based target localization in radiation therapy
(2018)Purpose: Cone beam computed tomography (CBCT) is typically used for on-board target localization in radiation therapy. However, CBCT has poor soft tissue contrast, which makes it extremely challenging to localize tumors ... -
Assessment of the Spatial and Temporal Distribution of Functional Connectivity in Resting-State BOLD fMRI
(2016)Recent research into resting-state functional magnetic resonance imaging (fMRI) has shown that the brain is very active during rest. This thesis work utilizes blood oxygenation level dependent (BOLD) signals to investigate ... -
Assessment of Variability in Liver Tumor Contrast in MRI for Radiation Therapy
(2017)Purpose: To investigate the inter-patient and inter-sequence variation in liver tumor contrast in MRI and the feasibility of improving the liver tumor contrast by using an in-house developed multi-source adaptive fusion ... -
Automated Assessment of Image Quality and Dose Attributes in Clinical CT Images
(2016)Computed tomography (CT) is a valuable technology to the healthcare enterprise as evidenced by the more than 70 million CT exams performed every year. As a result, CT has become the largest contributor to population doses ... -
Backscatter Spatial Coherence for Ultrasonic Image Quality Characterization: Theory and Applications
(2020)Adaptive ultrasound systems, designed to automatically and dynamically tune imaging parameters based on image quality feedback, represent a promising solution for reducing the user-dependence of ultrasound. The efficacy ... -
Beamforming of Ultrasound Signals from 1-D and 2-D Arrays under Challenging Imaging Conditions
(2015)Beamforming of ultrasound signals in the presence of clutter, or partial aperture blockage by an acoustic obstacle can lead to reduced visibility of the structures of interest and diminished diagnostic value of the resulting ... -
Building a patient-specific model using transfer learning for 4D-CBCT augmentation
(2020)Purpose: Four-dimensional cone beam computed tomography (4D-CBCT) has been developed to provide respiratory phase‐resolved volumetric images in aid of image guided radiation therapy (IGRT), especially in SBRT, which requires ... -
Capturing characteristic features in the human cortical gray matter and hippocampus in vivo using submillimeter diffusion MRI
(2022)Alzheimer's disease (AD) accounts for 60%-80% of dementia. AD patients start by having mild memory, language, and thinking difficulties, then gradually lose more critical abilities, such as dressing, bathing, or walking. ... -
Characterizing the Temporal Dynamics of 129Xe Spectroscopy to Uncover the Origins of Gas Exchange Impairment
(2017)129Xe MRI has emerged as a promising means of imaging ventilation distribution. Recently, interest has turned from only imaging ventilation to exploring solubility and chemical shifts to characterize gas exchange, including ...
