During the last decade, there has been an explosive growth in the development of functional and molecular imaging techniques. Developments in this multidisciplinary domain include new probes, imaging methods and novel instruments.
To enable accurate localization of the functional image, nowadays functional imaging systems are often combined with anatomical imaging systems into so-called hybrid or multimodality imaging systems. These hybrid combinations have recently come on the market in small animal versions.
Ir. Janaki Raman Rangarajan is a PhD Researcher at the Medical Image Computing, group of Department of Electrical Engineering (ESAT/PSI), iMinds-KU Leuven Future Health department, Belgium. Supported by the IWT SBO project QUANTIVIAM, Ir. Rangarajan has developed image analysis algorithms for quantification of multi-temporal and multi-modal images of small animal models using state-of-art image analysis methods. His work has led to the development of a (semi-) automatic image analysis pipeline for quantification of structural, functional and molecular processes in small animal models of neurodegenerative diseases. The pipeline is also used in other preclinical imaging research applications within the context of the KU Leuven Molecular Small Animal Imaging Center (MoSAIC), where complimentary research tools like multi-modality image acquisition, viral technology and image analysis are integrated in a unique, complementary program.
His research focus within his doctoral thesis (to defend) is Quantitative analysis of multi-temporal and multi-modal images in molecular imaging application of small animal models. Through his investigations on the use of vasculature information to prospectively plan or retrospectively assess stereotactic surgery in rodent brain, he demonstrates the deleterious effect like the injury to blood vessels. Key results of his research demonstrate that image quantification allows for a more effective use of imaging data as it can expose subtle differences or changes over time, as well as confounding effects in the experimental setup (e.g. vascular damage or trajectory variability in neurosurgery).
Prior to the current position, Ir. Rangarajan graduated in M.Sc. Biomedical Engineering from the Aachen University of Technology (RWTH, Aachen) Germany. There, he specialized in image registration for dental applications at the Department of Medical Informatics, RWTH Aachen and SICAT (in Bonn), a 3D imaging solutions company for dental implantology applications. He obtained the bachelor's degree of engineering at the University of Madras, Chennai, India.
EMAIL: janaki [dot] rangarajan [at] uz [dot] kuleuven [dot] ac [dot] be