Abstract: The present invention relates to a method of calculating a proton density fat fraction, PDFF, from a water and fat separated magnetic resonance imaging, MRI, based on fat-referenced lipid quantification in a region of interest (ROI) and using determination of a reference tissue. The method comprises the step of determining: F·?f/R, wherein F is the fat signal in the ROI provided from the MRI, ?f is a function providing a ratio between T1 saturation values of the fat signals in the reference tissue and in the ROI; and R is a representation of the sum of fat and water signals on an intensity scale where the saturation of each of the fat and water signals equals the saturation of fat in the reference tissue.

Abstract: The present invention relates to a method (100) and system for evaluating a muscle related condition for a subject individual.

Abstract: The present invention relates to a method (100) of providing a basis for an evaluation of an individual's propensity for a certain health state. The method comprises the steps of acquiring (102) at least two of the following 5 parameter values of the individual's body out of the group: amount of visceral fat, amount of subcutaneous fat, volume of at least one tissue compartment, concentration of fat infiltrated in at least one tissue compartment, concentration of fat infiltrated in at least one organ, and concentration of fat in bone marrow; determining (104) a body composition profile, BCP, for the 10 individual using said at least two acquired parameter values in combination, and comparing (106) the BCP for the individual with parameter values which are based on previously stored BCPs of other individuals.

Abstract: The present invention relates to a method of calculating a proton density fat fraction, PDFF, from a water and fat separated magnetic resonance imaging, MRI, based on fat-referenced lipid quantification in a region of interest (ROI) and using determination of a reference tissue. The method comprises the step of determining: F·?f/R, wherein F is the fat signal in the ROI provided from the MRI, ?f is a function providing a ratio between T1 saturation values of the fat signals in the reference tissue and in the ROI; and R is a representation of the sum of fat and water signals on an intensity scale where the saturation of each of the fat and water signals equals the saturation of fat in the reference tissue.

Abstract: The present invention relates to a method of quantifying a lean tissue volume comprising the steps of acquiring (10) a acquired image as a water-fat separated magnetic resonance image, wherein the acquired image comprises a water image and a fat image, providing (20) a calibrated fat image (F), providing (30) a soft tissue mask (STM) defining areas of soft tissue in the acquired image, and defining (40) a region of interest (ROI) of the acquired image. The method further comprises a step of calculating (50) a lean tissue volume (LTV) by multiplying, for each volume element in the region of interest, the soft tissue mask with the volume (Vvox) of each volume element and the result of one minus the calibrated fat image, and summarizing the products of said multiplications for all volume elements in the region of interest.

Abstract: The present invention relates to a method for classification of an organ in a tomographic image. The method comprises the steps of receiving (102) a 3-dimensional anatomical tomographic target image comprising a water image data set and a fat image data set, each with a plurality of volume elements, providing (104) a prototype image comprising a 3-dimensional image data set with a plurality of volume elements, wherein a sub-set of the volume elements are given an organ label, transforming (106) the prototype image by applying a deformation field onto the volume elements of the prototype image such that each labeled volume element for a current organ is determined to be equivalent to a location for a volume element in a corresponding organ in the target image, and transferring (108) the labels of the labeled volume elements of the prototype image to corresponding volume elements of the target image.

Abstract: The present invention relates to a method of quantifying a lean tissue volume comprising the steps of acquiring (10) a acquired image as a water-fat separated magnetic resonance image, wherein the acquired image comprises a water image and a fat image, providing (20) a calibrated fat image (F), providing (30) a soft tissue mask (STM) defining areas of soft tissue in the acquired image, and defining (40) a region of interest (ROI) of the acquired image. The method further comprises a step of calculating (50) a lean tissue volume (LTV) by multiplying, for each volume element in the region of interest, the soft tissue mask with the volume (Vvox) of each volume element and the result of one minus the calibrated fat image, and summarizing the products of said multiplications for all volume elements in the region of interest.

Abstract: The present invention relates to a method for classification of an organ in a tomographic image. The method comprises the steps of receiving (102) a 3-dimensional anatomical tomographic target image comprising a water image data set and a fat image data set, each with a plurality of volume elements, providing (104) a prototype image comprising a 3-dimensional image data set with a plurality of volume elements, wherein a sub-set of the volume elements are given an organ label, transforming (106) the prototype image by applying a deformation field onto the volume elements of the prototype image such that each labeled volume element for a current organ is determined to be equivalent to a location for a volume element in a corresponding organ in the target image, and transferring (108) the labels of the labeled volume elements of the prototype image to corresponding volume elements of the target image.

Abstract: Present invention discloses systems and methods for improvement of magnetic resonance images. Correction of a chemical shift artefact in an image acquired from a magnetic resonance imaging system is obtained by a system and a method involving iterative-compensation for the misregistration effect in an image domain. Correction of an intensity inhomogeneity in such images is obtained by a system and a method involving locating voxels corresponding to pure adipose tissue and estimating correction field from these points.

Abstract: Present invention discloses systems and methods for improvement of magnetic resonance images. Correction of a chemical shift artefact in an image acquired from a magnetic resonance imaging system is obtained by a system and a method involving iterative-compensation for the misregistration effect in an image domain. Correction of an intensity inhomogeneity in such images is obtained by a system and a method involving locating voxels corresponding to pure adipose tissue and estimating correction field from these points.