IIT Madras - Medical Image Analysis

Offered byNPTEL

Medical Image Analysis
at
NPTEL
Overview

Gain a comprehensive overview of the Medical Image principles and concepts

Duration	12 weeks
Mode of learning	Online
Credential	Certificate

Medical Image Analysis
at
NPTEL
Highlights

Earn a certificate upon completion

Medical Image Analysis
at
NPTEL
Course details

More about this course

This course deals with automated analysis of diagnostic medical images, namely X-rays, CT and MRI scans
We will start with some basic material on how to visualize medical images and how to interpret the resolution of medical images correctly in addition to standard techniques for image processing
In successive weeks we will examine often used and powerful algorithms for image segmentation and image registration
We will then look at how these automated methods can be used to enable computer aided diagnosis
In the final 2 weeks, we will discuss deep learning for medial image analysis , especially state of the art 3D convolutional neural networks

Medical Image Analysis
at
NPTEL
Curriculum

Week 1: Introduction to medical imaging

Week 2: Basic image processing techniques

Week 3: Image registration – 1- Rigid models

Week 4: Image registration – 2- Non-Rigid models

Week 5: Image registration – 3- Application and demonstration

Week 6: Image segmentation - Statistical shape model

Week 7: Image segmentation – PDE based methods

Week 8: Image segmentation – application and demonstration

Week 9: Computer Aided Diagnosis – Case Study 1

Week 10: Computer Aided Diagnosis – Case Study 2

Week 11: Deep Learning for Medical image analysis – 3D Convolutional Neural Networks

Week 12: Deep Learning for Medical image analysis – Generative models for synthetic data

Medical Image Analysis
at
NPTEL
Faculty details

Prof. Ganapathy Krishnamurthi

Prof. Ganapathy Krishnamurthi is now an Associate Professor in the Department of Engineering Design at IIT-Madras. His research work is primarily in the area of medical image analysis and image reconstruction.