Image processing techniques are used to extract meaningful information from medical images. A major concern in denoising low-field MR brain images is the poor quality images secondary to a worsening signal-to-noise ratio (SNR) compared with the high-field MRI scanners. Low-field Magnetic Resonance Imaging (MRI) is vital in sensitive surgeries to allow real-time imaging in the operation theatre....

INTRODUCTION The analysis of abdominal and thoracic dynamic contrast-enhanced MRI is often impaired by motion-induced artifacts and misregistration, caused by physiological motion. Breath-holding is too short to cover these long acquisitions and suffers from imperfections. A previously published reconstruction algorithm, GRICS [1], corrects for motion-induced artifacts in a single image reconst...

This thesis will focus on applying smoothing splines to magnetic resonance image (MRI) analysis. Some additional work on support vector machine with a hybrid loss function will be discussed. We apply smoothing splines to both the structural MRI and functional MRI. For the structural MRI, we fit thin plate splines to overlapping blocks of the image with different configurations of knots. The opt...

OBJECTIVE To assess the reliability of new magnetic resonance imaging (MRI) lesion counts by clinicians in a multiple sclerosis specialty clinic. DESIGN An observational study. SETTING A multiple sclerosis specialty clinic. PATIENTS Eighty-five patients with multiple sclerosis participating in a National Institutes of Health–supported longitudinal study were included. INTERVENTION Each ...

Recent advancement of MRI techniques and development of new methods of image analysis have allowed us to study large neural tracts within the human brain. This is based on the principle of diffusion tensor MRI that is similar to that of diffusion-weighted imaging but takes magnitude and direction of the diffusion of water into account. Using this technique we have been able to define large neur...

− In many patients, lesions of focal cortical dysplasia (FCD) may go unrecognized by standard radiological analysis. This is due to the fact that identification of many of these malformations on visual inspection of conventional MRI is difficult due to their subtlety and the complexity of the brain’s convolutions. Quantitative MR image processing methods have the potential to help identify lesi...

OBJECTIVE The Fourier transform, a fundamental mathematic tool widely used in signal analysis, is ubiquitous in radiology and integral to modern MR image formation. Understanding MRI techniques requires a basic understanding of what the Fourier transform accomplishes. MR image encoding, filling of k-space, and a wide spectrum of artifacts are all rooted in the Fourier transform. CONCLUSION Th...

Medical images analysis is becoming increasingly important in clinical applications. One of the active resarch areas in medical image analysis is image coregistration which involves information fusion of tomographic diagnostic images obtained from different modalities. We present a novel MRI and PET brain image coregistration technique using binary correlation matching based on multiple image f...

Introduction: 4D flow-sensitive MRI is characterized by its high-dimensionality (depiction in three dimensions and over time of anatomy and three-directional blood flow velocities) that allows comprehensive blood flow and vessel wall analysis within complete arterial segments (1-3). However, the high-dimensionality of 4D-flow-sensitive MRI is limiting the clinical application of the technique b...