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Label Free CEST MRI Detection of Hydrogen Peroxide and its Applications in Monitoring Oxygen Delivery for Tissue Engineering
(Johns Hopkins University, 2017-05-02)
One of most formidable challenges in stem cell therapy is the initial hypoxia due to the lack of blood supply. Among the numerous oxygen-supplying systems that have been developed, hydrogen peroxide is suggested to be a ...
Image Guided Robots for Urology
(Johns Hopkins University, 2014-03-20)
This dissertation addresses the development of medical image-guided robots and their applications in urology. Image-guided robots integrate medical image information with robotic precision to assist the planning and execution ...
Design, Synthesis, and Characterization of Supramolecular Self-Assemblies for Magnetic Resonance Imaging
(Johns Hopkins University, 2016-05-03)
Magnetic resonance imaging (MRI) is one of the most powerful diagnostic modalities for imaging of the brain, cartilage, heart, blood vessels and tumors with superb spatial resolution and soft tissue contrast. However, the ...
Joint Spatial-Angular Sparse Coding, Compressed Sensing, and Dictionary Learning for Diffusion MRI
(Johns Hopkins University, 2018-03-02)
Neuroimaging provides a window into the inner workings of the human brain to diagnose and prevent neurological diseases and understand biological brain function, anatomy, and psychology. Diffusion Magnetic Resonance Imaging ...
MICROFABRICATION OF MAGNETIC MICRO-GRIPPERS AND THEIR NAVIGATION USING MRI SYSTEM
(Johns Hopkins University, 2018-08-13)
In the recent decades, magnetic resonance imaging (MRI) has become one of the most important technologies in medical science that can provide a safe, convenient and high-quality imaging of the human body. By exploiting the ...
Statistical Methods in Applications with Complex Data Structures
(Johns Hopkins University, 2019-05-14)
This thesis details three applications of statistical methods, motivated by data sets with complex data structures and unique problems. In each case, the data structure and complications are described, followed by a detailed ...
Deep Learning Techniques for Image Segmentation of Whole Body MRI
(Johns Hopkins University, 2020-05-05)
Recently, deep learning methods have achieved state of the art results across many fields of research. Deep learning has become prevalent in medical image analysis and plays an integral part of contemporary healthcare. In ...
Brain structure segmentation using multiple MRI pulse sequences
(Johns Hopkins University, 2019-10-11)
Medical image segmentation is the process of delineating anatomical structures of interest in images. Automatic segmentation algorithms applied to brain magnetic resonance images (MRI) allow for the processing of large ...
Advancing Magnetic Resonance Spectroscopy and Endoscopy with Prior Knowledge
(Johns Hopkins University, 2014-06-09)
Reconstruction is key to the generation of anatomic, functional and biochemical information in the field of Magnetic Resonance (MR) in medicine. Here, prior knowledge based on various conditions is utilized through ...
GREMLIN: Graph Estimation From MR Images Leading to Inference in Neuroscience
(Johns Hopkins University, 2016-05-02)
In recent years there has been a growing desire to understand the structure and function of the human brain. Approximately 1 in 5 adults suffers from mental illness, and many of these illnesses, including Alzheimer's ...