Muhammad Jawad



Muhammad Jawad
PhD Student Computer Science
School of Engineering and Science

Telephone: +49 421 200-3182
Fax: +49 421 200-3103
Office: Research I, Room 119
Jacobs University Bremen gGmbH
Campus Ring 1
28759 Bremen

Project: In-Vivo Study of Magnetic Resonance Spectroscopy Imaging using Multivariate Data Visualization Techniques

In this research we are working on visual analytics methods for medical and life science applications. Currently, we are inquiring human brain diseases using multidimensional visualization methods. Magnetic Resonance Spectroscopy Image (MRSI) is a biomedical technique to investigate brain chemistry provided to understand variation between normal and abnormal tissues. Visualizing of In-vivo MRSI is not an easy task due to its complexity and diversity in analysis like its acquisition and pre-processing steps involved. Furthermore, metabolites ratios analysis using computational techniques is not so productive yet because of it multiple features and their complex structure that provides improper information about chemicals. So, it is a still an active research area among neuro-scientist community for the reason that to know about tissue properties and behavior with their changing concentration of metabolites.

To explore the behavior of these metabolites in order to inspect brain disorders, we need to cope with some competent visualization approaches that convey as much as possible information about brain condition under study using MRSI data. Scientists are working using different multidimensional visualization approaches like “Parallel Coordinate”, “Andrew Curves” “2D and 3D Scatter Plot”, “Scatter Plot Matrices” etc. But each of one has its own limitations; we cannot drive for that data which contains much more dimensions. We have extracted about 34 metabolites features space of MRSI that becomes more complex and difficult to project and understand the behavior of these metabolites by using these techniques. We used Tarquin (It is an open source MRSI tool) for metabolites extraction.