Amlan Chakrabarti is a Full Professor of Information Technology in the A.K.Choudhury School of Information Technology at the University of Calcutta. He is also the Dean, Faculty of Engineering and Technology of his university. He is an M.Tech. from the Dept. of Radiophysics and Electronics, University of Calcutta and did his Doctoral research at the Indian Statistical Institute, Kolkata. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, the USA during 2011-2012. He is the recipient of the DST BOYSCAST fellowship award in Engineering Science in 2011, Indian National Science Academy (INSA) Visiting Faculty Fellowship in 2014, JSPS Invitation Research Award in 2016 and Erasmus Mundus Leaders Award from EU in 2017.
He has been associated with reputed international and national institutes of repute as a Visiting Professor to name a few, University of SUNNY Buffalo USA, GSI Helmholtz Research Laboratory Germany, University of Bremen Germany, CERN Geneva, Kyushu Institute of Technology Japan, etc.
He is one of the Principal Investigators of the Center of Excellence in Systems Biology and Biomedical Engineering at the University of Calcutta. He has received multiple project grants in the areas of Embedded System Design, VLSI Design, Quantum Computing and Computer Vision from various national and international agencies. He has published around 120 research papers in referred journals and conferences. He is a Sr. Member of IEEE, Secretary of IEEE CEDA India Chapter and Member of ACM. His areas of research interest are Quantum Computing, Embedded Systems Design, VLSI Design, Computer Vision and Analytics.
Imaging has become an essential component in many fields of biomedical research and clinical practice. Radiologists identify and quantify tumors from MRI and CT scans, and neuroscientists detect regional metabolic brain activity from PET and functional MRI scans. Analysis of these diverse types of images requires sophisticated computerized quantification and visualization tools. This motivates us to design and develop the standard user interface and analysis tools (computer-aided diagnostics: CAD) so that researchers and clinicians can easily share research data and analyses, thereby enhancing their ability to study, diagnose, monitor and treat medical disorders with better accuracy. Image acquisition, preprocessing, segmentation of the region of interest, feature extraction and classification are some of the key process steps that are performed in extracting useful information from medical images. Multimodal medical image analysis along with 3D information extraction is also the recent trend in computer-aided diagnostics.
This tutorial will discuss the fundamental process steps for medical image analysis, with a brief insight on the CAD for various medical abnormalities viz. estimation of spinal deformity, early risk prediction for cancer etc. A special emphasis will be given on multimodal image registration and fusion involving CT, MRI, PRT etc. Some preliminary ideas of 3D reconstruction and viewing as applied in medical image analysis will also be presented.