Bruce Spottiswoode has a BSc in Electrical Engineering from the University of the Witwatersrand and a PhD in Biomedical Engineering on cardiac MRI from the University of Cape Town. He has worked on developing electronics for the CSIR, on MRI image reconstruction for Siemens, and on X-ray imaging for Lodox Systems. He is currently the Director of the Cape Universities Brain Imaging Centre. His c...

The application of biomedical nanotechnology in magnetic resonance imaging (MRI) is expect to have a major impact leading to the development of new contrast drug candidates on the nanoscale (1-100 nm) that are able to react with specific biological targets at a molecular level. One of the major challenges in this regard is the construction of nanomaterials, especially used in molecular MRI diag...

INTRODUCTION: To date, spatial encoding for MRI is based on linear X, Y and Z field gradients generated by dedicated X, Y and Z wire patterns. The multi-coil (MC) technique enables the generation of a multitude of magnetic field shapes relevant to biomedical MR [1]. The benefits of the Dynamic Multi-Coil Technique (DYNAMITE) for the magnetic field shimming in rodent [2,3] and human [4] brain ha...

In medical imaging for clinical diagnosis and biomedical research magnetic resonance imaging (MRI) is one of the prevailing techniques. A lot of subjects of MRI are annoyed by the loud noise that MRI generates. In the present study computer simulation of active control of the noise induced by MRI was performed. The sound generated by the measurement sequences for the brain was recorded with an ...

The quality of biomedical images can be enhanced by using several transformations reported in the literature. The enhanced images may be useful to extract the exact information from these scans. In recent times, researchers exploited various mathematical models to smoothen and enhance the quality of the biomedical images with an objective to extract maximum useful medical information related to...

In this paper, we present a new approach that allows the detection of brain tumors. The approach is based on mathematical methods such as correlation, covariance and geodesic distance. Before proceeding to the segmentation and automatic extraction, the detection of central indices of abnormal tissues is based on the method of correlation and covariance. From these indices, segmentation of brain...

Biomedical imaging is a rapidly growing field to provide a state-of-the-art tool for preclinical biomedical research and clinical applications, in view of its ability to noninvasively reveal subtle structural variations of biological tissues and visualize in vivo physiological and pathological processes at the cellular and molecular levels. Mathematical methods are involved with imaging theorie...

This article presents a comprehensive review of current Magnetic Imaging Techniques (MIT), specifically Particle (MPI) and Resonance (MRI) methods as well their impacts potential in biomedical applications. The paper particularly focuses on several perspectives MPI MRI techniques including technical considerations, advantages, limitations, applications, future trends. Surprisingly, there are no...

In this review, the physicochemical properties and biomedical applications of Gd@C60 (gadofullerenes) and Gd@Ultra-short Single-walled carbon nanotubes (gadonanotubes) are discussed, especially in regard to the unique benefits of this novel class of materials for Magnetic Resonance Imaging (MRI). The introduction of carbon nanotechnology into biomaterial science has created great opportunity fo...