Theoretical and practical introduction to DTI and brain structural connectivity

Lecturers:

Dr. Farzaneh keivanfard, PhD of Biomedical Engineering, Amirkabir university of technology.

Ms. Hengameh Marzbani (Eng.), PhD candidate of Biomedical Engineering, Amirkabir University of Technology,  Image Processing and Brain Stimulation Section, NBML.

Introduction to MRI

- Magnetic field and excitation

- Expression of gradient concepts in MR imaging

- The concept of weighting image

 Diffusion Weight Imaging (DWI)

- What is diffusion?

- Measuring the diffusion coefficient of molecules

- Definition of the parameter b and its importance in image formation

- Algorithm to find diffusion coefficient

- DWI limitations

Diffusion Tensor Imaging (DTI)

- Advantage of DTI instead of DWI

- Imaging procedures in DTI

- The minimum required to obtain a DTI image

- Image quantification

What is tractography?

- The concept of tractography

- Two main methods of tractography

Conclusion, DTI limitations and introduce analysis software

Brain structural connectivity

- All brain connections

- Introduction to brain atlases

- Criteria for selecting the appropriate atlas

- How to quantify brain connections

- determination of structural connections

- Introduction to graph theory

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Topics of practical data acquisition

- Introduction to ExploreDTI software

- Pre-processing of DTI images

- Processing of DTI images and tractography

- Tract segment analysis

- Structural connectivity and network analysis tools

Date:2020-11-17

-The link for joining to webinar will be sent via SMS