Imaging Informatics
Introduction
Imaging informatics emerges from the intersection of biology, medicine, and computer science. This course naturally falls under the auspice of bioengineering although it has been taught in other departments. Moreover, the application of image informatics ranges from research in functional genomics to medical imaging. This course will first introduce the fundamentals of medical imaging including: imaging modalities, image storage and simple image processing. Then, the remainder of the course will focus on image processing concepts including: feature extraction, image segmentation, machine learning diagnostics and image registration. This course will wrap up with applications of the aforementioned image analysis techniques and some related advanced topics in image processing.
Lecture Topics
| Week | # | Topic | Hmwk |
| 01/14 | 1 | Introduction to medical imaging: X-Ray/ CT | 1 |
| 2 | Introduction to medical imaging: Ultrasound/Nuclear Medicine | ||
| 01/21 | 3 | Introduction to medical imaging: MRI | 2 |
| No classes Monday | |||
| 01/28 | 4 | Image storage: PACS & DICOM | 3 |
| 5 | Digital Image Fundementals | ||
| 02/04 | 6 | Image Processing: Linear operators | 4 |
| 7 | Image Processing: Non-linear filters | ||
| 2/11 | 8 | Feature Extraction: | 5 |
| 9 | Feature Extraction: | ||
| 02/18 | 10 | Image Segmentation: Thresholding | 6 |
| 11 | Image Segmentation: Region Growing | ||
| 02/25 | 12 | Image Segmentation: Deformable Surface/Level Set Methods | 7 |
| 13 | Image Segmentation: Other Methods | ||
| 03/03 | Midterm (Review for Midterm) | ||
| 03/10 | 14 | Introduction to machine learning | 8 |
| 15 | Evaluation of machine learning methods | ||
| 03/17 | 16 | Applications of machine learning | 9 |
| 17 | Applications of machine learning | ||
| 03/24 | Spring Break | ||
| 03/31 | 18 | Image Registration: | 10 |
| 19 | Image Registration: | ||
| 04/07 | 20 | Applications | 11 |
| 21 | Applications | ||
| 04/14 | 22 | Applications | 12 |
| 23 | Applications | ||
| 04/21 | 24 | Advanced Topics | 13 |
| 25 | Advanced Topics | ||
| 04/28 | Review for Final Exam | ||
| 05/05 | Final Exam Week |