Abstract: A tissue type fraction within a biological object is determined by a phase-cycled acquisition of several images of the object and deriving a complex signal profile for each voxel of the acquired images; generating a multidimensional dictionary of simulated signal profiles, wherein each simulated signal profile is configured for simulating the previously derived complex signal profile; using a weight optimization algorithm configured for expressing the complex signal profile as a weighted sum of the simulated signal profiles, wherein the weight optimization algorithm provides as output for each voxel a matrix M of optimized weights; for each voxel and each dimension of the obtained matrix M, extracting from the matrix M a distribution of the obtained optimized weights; and determining a type of tissue composing each voxel from the obtained distributions.

Abstract: The present invention relates to a magnetic resonance eye imaging method, wherein an eye image is obtained from magnetic resonance image data acquired while the eye is moving, comprising determining eye orientation information data during magnetic resonance image data acquisition; binning the acquired magnetic resonance image data into groups according to eye orientation information data; and constructing a magnetic resonance image eye image from a selection of groups of magnetic resonance image data.

Abstract: A tissue type fraction within a biological object is determined by a phase-cycled acquisition of several images of the object and deriving a complex signal profile for each voxel of the acquired images; generating a multidimensional dictionary of simulated signal profiles, wherein each simulated signal profile is configured for simulating the previously derived complex signal profile; using a weight optimization algorithm configured for expressing the complex signal profile as a weighted sum of the simulated signal profiles, wherein the weight optimization algorithm provides as output for each voxel a matrix M of optimized weights; for each voxel and each dimension of the obtained matrix M, extracting from the matrix M a distribution of the obtained optimized weights; and determining a type of tissue composing each voxel from the obtained distributions.

Abstract: Selectively exciting bulk protons in certain tissue components, e.g. water, while suppressing the excitation of others, e.g. fat, can lead to images with better contrast for desired features. The invention provides binomial, off-resonance RF excitation pulses for differentiating tissue excitation that yields a larger fat suppression that prior art water excitation methods. Proper balancing of the frequency offset and the pulse duration with a relative phase offset between the pulses leads to large-bandwidth pass- and stopbands for water and fat, respectively. The pulses can be applied with short, or even zero, interpulse delay, leading to substantial time savings in the imaging sequence.

Abstract: Selectively exciting bulk protons in certain tissue components, e.g. water, while suppressing the excitation of others, e.g. fat, can lead to images with better contrast for desired features. The invention provides binomial, off-resonance RF excitation pulses for differentiating tissue excitation that yields a larger fat suppression that prior art water excitation methods. Proper balancing of the frequency offset and the pulse duration with a relative phase offset between the pulses leads to large-bandwidth pass- and stopbands for water and fat, respectively. The pulses can be applied with short, or even zero, interpulse delay, leading to substantial time savings in the imaging sequence.