Course10210609451 lectures
Medical Image Analysis
Prof. Ganapathy krishnamurthi · IIT Madras
About
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.
Intended audience: UG/PG
Prerequisites: Knowledge of calculus, Linear Algebra, introductory optimization and introductory matrix computationsINTENDED AUDIENCE: UG/PG
Lectures
Week 1
- Introduction
- X-ray imaging
- MRI Physics
- MAGNETIC RESONANCE IMAGE ACQUISITION
- ULTRASOUND IMAGING
- RADIONUCLIDE IMAGING
Week 2
- Basic Image Processing Methods
- Contrast Enhancement
- Histogram Equalization
- Edge Enhancement - Laplacian
- Noise Reduction
- Diffusion Filtering
- Bayesian IMAGE RESTORATION
Week 3
Week 4
Week 5
- Endoscopy -Where are we with AI ?
- Computer vision & DL in the operating room
- ML in intraoperative tissue identification
- Basic Image Processing Techniques Using MATLAB
- Image Registration Using Matlab
- Basic Image Processing Techniques Using Python
Week 6
- Calculus of variations
- Snakes - Active Contour Models
- LEVEL SETS, GEODESIC ACTIVE CONTOURS, MUMFORD-SHAH FUNCTIONAL, CHAN-VESE
- MUMFORD-SHAH FUNCTIONAL, CHAN-VESE
Week 7
- Segmentation Models Demo [Snakes (Active Contours ) Chan-Vese segmentation, Geodesic active Contour]
- ACTIVE SHAPE MODELS
- Snake tutorial
- Level Set Method
- Chan Vese Segmentation
Week 8
Week 9
Week 10
Week 11
Week 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Madras
- Department
- Biotechnology
- Teacher
- Prof. Ganapathy krishnamurthi
- Level
- Undergraduate
- Language
- English
- Subjects
- Biology
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed