Training activity information
Details
Using raw k-space data acquired from human subjects, reconstruct magnitude and phase images; investigate the impacts of simple manipulations of the k-space data to correctly align the images and resolve image quality issues
Type
Developmental training activity (DTA)
Evidence requirements
Evidence the activity has been undertaken by the trainee​.
Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.
An action plan to implement learning and/or to address skills or knowledge gaps identified.
Considerations
- Image reconstruction
- Signal pre-processing of k-space, e.g. apodisation filters, shifts, phase rolls, sub-sampling
- Multi-channel image combination
- Post-processing options
- Self-developed, open source or manufacturer’s reconstruction software
- Partial fourier
- Parallel imaging
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 2 |
Outcome
Model signals and perform image reconstruction. |