ADC Map

Class: NodeADCMap

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Calculates an ADC map based on diffusion weighted images. At least 2 images are required and b-values are automatically extracted from the images. An optional mask can also be provided to limit the calculations to a region.

Two methods can be used in the calculation of the ADC map; a linear(fast) method and a nonlinear(slower) method.Typically both methods give good results but the linear method involves taking the logarithm of a signal before fitting parameters and will therefore not treat noise optimally. Consequently, for lower SNR data the nonlinear method is to be preferred.

Produces a ADC map in units [mm^2/s] and a signal map.

Inputs

B-Value Series

Input images with differnt b-values.

Type: Image4DFloat, Required, Single

Mask

Input mask.

Type: Image4DBool, Optional, Single

Outputs

ADC

Resulting ADC map.

Type: Image4DFloat

Signal

Resulting signal map.

Type: Image4DFloat

Settings

Method Selection

Use a linear or a nonlinear fitting algorithm.

Values: Linear, NonLinear

References

      1. Bernstein, K. F. King, and X. J. Zhou, Handbook of MRI Pulse Sequences. Amsterdam: Elsevier Academic Press, pp. 830 - 53, 2004.

Keywords: ADC, MD, map, diffusion, mri