Abstract: Techniques are described for processing measurement information to select a respective label for multiple voxels or pixels of a medical image dataset. Reference information is described comprising a respective reference dataset for each one of the possible labels, and each label is associated with a material parameter. A respective label for the respective voxel or pixel is selected by using a discrete optimization algorithm to optimize a cost function comprising a first partial cost function and a second partial cost function, and the incorporation of the second partial cost function into the cost function introduces a coupling between the labels at different voxels or pixels.

Abstract: In a method for performing Magnetic Resonance Elastography (MRE) more efficiently may include providing a periodical vibration signal for exciting mechanical vibrations within an object to be examined with a vibration period, sampling the vibration signal with a sampling period corresponding to a natural number including zero of vibration periods plus a fixed time delay, and performing three motion encoding gradients for magnetic resonance acquisition in each sampling period. The fixed time delay multiplied with a sampling number may be equal to the vibration period. The sampling number may be a natural number greater than two.

Abstract: Techniques are described for processing measurement information to select a respective label for multiple voxels or pixels of a medical image dataset. Reference information is described comprising a respective reference dataset for each one of the possible labels, and each label is associated with a material parameter. A respective label for the respective voxel or pixel is selected by using a discrete optimization algorithm to optimize a cost function comprising a first partial cost function and a second partial cost function, and the incorporation of the second partial cost function into the cost function introduces a coupling between the labels at different voxels or pixels.