Introduction to Biological Imaging
About the course
Do you want to break into a field which uses engineering to help medical doctors and biologists in their daily life? Are you fascinated by a field which can prepare you for working at the interface of engineering, biology and medicine? Are you interested in bringing solutions to medicine and help patients by complementing biology discovery with engineering problem solving ability? Then this course is for you. Biomedical engineers and imaging experts are shaping the world of biomedicine and see high demand for their expertise both in academia and in the industry in Europe, North America and Southeast Asia. Importantly, imaging scientists develop an in-depth understanding of the interplay between technology and the Life Sciences, serving as a leverage point to integrate engineering into biological and medicine pipelines in areas of sensing and information processing in general.
Among other topics, in this course you will learn about:
1. How are images formed in different imaging modalities?
2. What are the physical properties and computational principles of image formation?
3. What are the differences between X-ray CT and Magnetic Resonance Imaging?
4. How does Ultrasound and Nuclear Imaging methods work? What is optoacoustics?
5. What is optical microscopy and how does it help to propel biology into impacting medicine?
6. What is forward modelling and inversion?
7. How imaging contributes to advanced prognosis, diagnosis and theranostics?
Whenever possible, the course outlines the complementation of Modern Engineering and Biology as diverse but highly synergistic scientific cultures that share a common future. We further explain how Biomedical Engineers will play a central role into developing solutions for Healthcare and the Life Sciences, supporting top innovation activities.
Schedule - Winter Semester 2018-2019
Lectures (Wednesdays, 16:30 - 18:00)
- Oct 17th: Mathematical Basis in Imaging (Olefir)
- Oct 24th: Introduction to Biomedical Imaging (Ntziachristos)
- Oct 31st: X-ray and Computed Tomography (Dean Ben)
- Nov 7th: Optical Microscopy (Ntziachristos)
- Nov 14th: Forward problem – physics (Dean Ben)
- Nov 21st: Forward problem – numerical (Olefir, Jüstel)
- Nov. 21st: Midterm – 40%
- Nov 28th: Optical & Optoacoustic Imaging (Ntziachristos)
- Dec 5th: MRI 1 (Ntziachristos)
- Dec 12th: Ultrasound Imaging (Razansky)
- Dec 19th: Inverse problems in Imaging (Olefir, Jüstel)
- Jan 9th: MRI 2 (Karabinos)
- Jan 16th: Bio-Engineering and Molecular Imaging (Stiel)
- Jan 23rd: Nuclear Imaging (Ntziachristos)
- Jan 30th: Artificial Intelligence and Imaging (Mohajerani)
- Feb 6th: Final Exam 40%
Practical Exercises (Wed, Fri – 18.00-19.30)
- Oct 17th: Matlab for Imaging (I.Olefir)
- Nov 7th, 9th: CT, Radon (L.Dean Ben / I.Olefir /)
- Nov 28th, 30th: FEM & model based OA (I.Olefir)
- Jan 9th, 11th: Inversion (I.Olefir)
- Jan 16th, 18th: MRI(Bloch equations) (Karabinos)
- Lecture 1 - Mathematical Basis in Imaging and Matlab for Imaging
- Lecture 2 - Introduction
- Lecture 3 - X-ray, CT
- Lecture 4 - Microscopy
- Lecture 5 - Forward Problem
- Lecture 6 - Forward Problem Numerical
- Lecture 7 - Optical & Optoacoustic Imaging
- Lecture 8 - MRI
- Lecture 9 - Ultrasound Imaging
- Lecture 10 - Inverse Problems
- Lecture 11 - MRI 2
- Lecture 12 - Bio-Engineering and Molecular Imaging
- Lecture 13 - Nuclear Imaging
- Lecture 14 - Summary
Lectures from last year
- Lecture 1 - Introduction to Biological Imaging (ME002)
- Lecture 2 - X-Ray, CT
- Lecture 3 - Microscopy
- Lecture 4 - Forward problem
- Lecture 5 - Forward Problem Numerical
- Lecture 6 - Optical And Optoacoustic Imaging
- Lecture 7 - Ultrasound
- Lecture 8 - MRI
- Lecture 9 - Inverse Problems
- Lecture 10 - MRI 2
- Lecture 11 - Nuclear Imaging
- Lecture 12 - Protein and Cell Engineering In Imaging
- Lecture 13 - Summary