Relaxation

Magnetic relaxation

Magnetic relaxation
  1. What is magnetization relaxation?
  2. What Does relaxation mean in MRI?
  3. What is T1 and T2 relaxation in MRI?

What is magnetization relaxation?

The relaxation or approach of a magnetic system to an equilibrium or steady-state condition as the magnetic field is changed. This relaxation is not instantaneous but requires time. The characteristic times involved in magnetic relaxation are known as relaxation times.

What Does relaxation mean in MRI?

Relaxation is the process in which spins release the energy received from a radiofrequency pulse. MRI signal is influenced, among other factors, by different types of relaxation: T1 relaxation (spin-lattice or longitudinal relaxation) T2 relaxation (spin-spin or transverse relaxation)

What is T1 and T2 relaxation in MRI?

Tissue can be characterized by two different relaxation times – T1 and T2. T1 (longitudinal relaxation time) is the time constant which determines the rate at which excited protons return to equilibrium. It is a measure of the time taken for spinning protons to realign with the external magnetic field.

Z-transform Is the Final value theorem applicable for some non-causal signals?
Is the Final value theorem applicable for some non-causal signals?
What is the final value theorem of Z transfer function?What is the ROC of the Z-transform of the signal?What is Z-transform in signals and systems? ...
System Are real exponential signals still eigen functions of LTI systems?
Are real exponential signals still eigen functions of LTI systems?
What is Eigen function of LTI system?Which of the following discrete time signals could be eigenfunctions of any stable LTI system?Is exponential tim...
Kalman Kalman Filter - Comparing the Static Kalman gain and the Dynamic/Recursively updating Kalman Gain
Kalman Filter - Comparing the Static Kalman gain and the Dynamic/Recursively updating Kalman Gain
Why Kalman filter is recursive?What is the Kalman gain?What is the advantage of Kalman filter?What does Kalman filter minimize? Why Kalman filter is...