![Principle app no gradient](https://kumkoniak.com/116.png)
![principle app no gradient principle app no gradient](https://cdn.numerade.com/ask_images/64a00d060c6f4fefbc61bf61b9d59822.jpg)
Each point of k-space encodes for spatial information of the entire MR image.
![principle app no gradient principle app no gradient](https://cdn.dribbble.com/users/129959/screenshots/3346789/generator---dribbble---1_still_2x.gif)
Gradients are bipolar (negative or positive), so it is possible to move in opposite directions from the center (to the left or the right, and to the top or the bottom). The higher is the net strength of the gradient, or the longer the gradient is applied, the farther from the origin of k-space the data will be located. If no gradient is applied (or if the net effect of the gradient is null), the location is at the center of k-space.
- The location of the data in k-space depends on the strength and the duration of the gradients.
- These data are mapped into k-space so that an inverse 2D Fourier transform reconstructs the MR image. These gradients allow the encoding of spatial data as spatial frequency information.
- Spatial encoding in MR imaging uses magnetic field gradients.
- To link contrast, spatial resolution and field of view to k-space.
- To describe the k-space trajectory with a spin echo sequence.
- To state the relations between RF pulses, gradients and navigation in k-space.
- To draw the effects of a point in k-space on the image.
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To define: spatial frequency, phase and magnitude.To explain the relation between time domain, frequency domain and Fourier transform.After reading this chapter, you should be able: