Howtosignalprocessing
- What is image reconstruction in MRI?
- What reconstruction technique is used for MRI?
- What is an MRI slice?
- What is slice thickness in MRI?
What is image reconstruction in MRI?
A set of data processing steps are required to turn the acquired raw data into actual images that can be interpreted by a clinician. The process of transforming the acquired raw data to images is called image reconstruction and on modern MRI devices, it is carried out by dedicated reconstruction software.
What reconstruction technique is used for MRI?
Magnetic resonance imaging (MRI) is a sophisticated and versatile medical imaging modality. Traditionally, MR images are reconstructed from the raw measurements by a simple inverse 2D or 3D fast Fourier transform (FFT).
What is an MRI slice?
Slice Selection. Slice selection in MRI is the selection of spins in a plane through the object. The principle behind slice selection is explained by the resonance equation. Slice selection is achieved by applying a one-dimensional, linear magnetic field gradient during the period that the RF pulse is applied.
What is slice thickness in MRI?
Slice Thickness is a parameter that can be selected by the technologist. This will change the thickness of our slice in millimeters. By increasing the slice thickness, many more different types of tissues will be collected in our 2D slice. This can cause blurring in our image also known as partial voluming.
