Browsing by Subject "Medical imaging"
Now showing items 21-40 of 124
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Computational Analysis of Clinical Brain Sub-cortical Structures from Ultrahigh-Field MRI
(2015)Volumetric segmentation of brain sub-cortical structures within the basal ganglia and thalamus from Magnetic Resonance Image (MRI) is necessary for non-invasive diagnosis and neurosurgery planning. This is a challenging ... -
Cone Beam Computed Tomography Image Quality Augmentation using Novel Deep Learning Networks
(2019)Purpose: Cone beam computed tomography (CBCT) plays an important role in image guidance for interventional radiology and radiation therapy by providing 3D volumetric images of the patient. However, CBCT suffers from relatively ... -
Covariance Decomposition of Ultrasonic Backscatter: Application to Estimation-based Image Formation
(2020)Medical ultrasound imaging is portable, real-time, and inexpensive, with countless applications across a range of pathologies and imaging targets. Despite these advantages, many patients suffer from suboptimal image quality, ... -
Data-Driven Motion Detection and Characterization in PET Brain Scans Using List Mode
(2016)Head motion during a Positron Emission Tomography (PET) brain scan can considerably degrade image quality. External motion-tracking devices have proven successful in minimizing this effect, but the associated time, maintenance, ... -
Deep Learning for Automatic Real-time Pulmonary Nodule Detection and Quantitative Analysis
(2019)Purpose: To develop a novel computer-aided diagnosis (CAD) pulmonary nodule detection system that can not only perform real-time detection but also characterize quantitative nodule information based on deep learning ... -
Detectability of anthropomorphic lesions in virtual breast phantoms as determined by new local tissue density metrics
(2017)This work seeks to utilize a cohort of computational, patient-based breast phantoms and anthropomorphic lesions inserted therein to determine trends in breast lesion detectability as a function of several ... -
Development and Application of Patient-Informed Metrics of Image Quality in CT
(2020)The purpose of this dissertation was to develop methods of measuring patient-specific image quality in computed tomography. The methods developed in this dissertation enable noise power spectrum, low contrast resolution, ... -
Development and Characterization of Low Cost Nanoscintillator-Based Radiation Detection Systems Using 3D Printing Technology
(2021)The fields of medical health physics, imaging, and radiotherapy have pushed the development and implementation of numerous radiation monitoring systems. Furthermore, detection and measurement of ionizing radiation is essential ... -
Development and Evaluation of a Bi-polar Gated Respiratory Motion Management Strategy for Lung SBRT
(2021)BackgroundStereotactic body radiation therapy (SBRT) is a noninvasive alternative treatment for patients who cannot accept surgery. It delivers higher ablative total radiobiological doses to the tumor in fewer fractions. ... -
Development and Optimization of Four-dimensional Magnetic Resonance Imaging (4D-MRI) for Radiation Therapy
(2016)A tenet of modern radiotherapy (RT) is to identify the treatment target accurately, following which the high-dose treatment volume may be expanded into the surrounding tissues in order to create the clinical and planning ... -
Development of a MRI-based Motion Management Strategy for Liver SBRT Treatment Planning
(2017)Purpose: MR images have better soft tissue contrast and introduce no ionizing radiation dose to patient compared with CT images. MRI-based treatment planning for liver SBRT has the potential to contour a more precise target ... -
Development of a Voxel-Based RadiomicsCalculation Platform for Medical Image Analysis
(2020)Purpose: To develop a novel voxel-based radiomics extraction technique, and to investigate the potential association between spatially-encoded radiomics features of the lungs and pulmonary function.Methods: We developed ... -
Development of an eXtended Modular ANthropomorphic (XMAN) phantom for Imaging and Treatment Optimization in Radiotherapy
(2021)Developing new technologies for clinical usage requires systematic and rigorous validation and optimization for various patient scenarios to ensure robustness and accuracy. Clinical trials on real patients are always considered ... -
Development of Deep Learning Models for Deformable Image Registration (DIR) in the Head and Neck Region
(2020)Deformable image registration (DIR) is the process of registering two or more images to a reference image by minimizing local differences across the entire image. DIR is conventionally performed using iterative optimization-based ... -
Development of Five-dimensional Magnetic Resonance Imaging (5D-MRI) for Radiation Therapy
(2018)Accurate delineation of tumor target and organs at risk (OARs) is critically important in modern radiation therapy for optimal treatment planning and precise treatment delivery. Conventionally, radiotherapy treatment planning ... -
Development of Optical Coherence Tomography Systems for Ophthalmic Imaging and Intrasurgical Guidance
(2017)Ophthalmic microsurgery is one of the most commonly performed surgical procedures in the world and it necessitates precise three-dimensional manipulation of tissue at sub-millimeter spatial scales. As a result, ophthalmic ... -
Development of Optical Technologies for Comprehensive Screening of Cervical Epithelial Health
(2019)Cervical cancer is one of the most common gynecologic malignancies with significant morbidity and mortality globally. However, most pre-cancers are easily treatable such that early detection of cervical abnormalities is ... -
Development of Swept Source Optical Coherence Tomography and Adaptive Optics Scanning Laser Ophthalmoscopy: Improved Imaging Speed and Handheld Applications
(2016)Optical coherence tomography (OCT) is a noninvasive three-dimensional interferometric imaging technique capable of achieving micrometer scale resolution. It is now a standard of care in ophthalmology, where it is used to ... -
Development of X-ray Fan Beam Coded Aperture Diffraction Imaging for Improving Breast Cancer Diagnostics
(2021)X-ray imaging technology has been used for a multitude of medical applications over the years. The typically measured X-ray transmission data, which records shape and density information by measuring the differences in X-ray ... -
Dosimetric and radiobiological fitting of xerostomia and dysphagia 12 months after treatment for head and neck tumors
(2018)Oropharyngeal Squamous Cell Carcinoma (OPSCC) is by far the most predominant form of head and neck cancer in the United States. The survival rate for OPSCC is very high, which, while fortunate, yields many patients who are ...
