Medical Image Processing: Analysis and Visualization

Speaker:  Amlan Chakrabarti – Kolkata, India
Topic(s):  Architecture, Embedded Systems and Electronics, Robotics

Abstract

Imaging has become an essential component in many fields of bio-medical 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 standard user interface and analysis tools (computer aided diagnostics: CAD) so that researcher 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 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 trends 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.

About this Lecture

Number of Slides:  55
Duration:  120 minutes
Languages Available:  English
Last Updated: 

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