Method for Generating a Magnetic Resonance Image Data Set, Computer Program Product, Data Carrier, and Magnetic Resonance System

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This invention relates to a method and associated products for creating magnetic resonance (MR) images that include detailed spectroscopic information about the fat and fatty acid composition within tissues. Using a specialized data acquisition approach and advanced processing, it produces spatially resolved MR images that map out fat-related spectroscopic data, which can be vital for medical diagnostics. The invention also covers related computer programs, data storage devices, and MR imaging systems implementing this method.

Use CasesContent extracted from patent full text and abstract with AI.

• Assessment of liver fat content in diagnosing and monitoring fatty liver disease (hepatic steatosis) or non-alcoholic steatohepatitis (NASH).
• Characterization of fat composition in muscles, aiding in metabolic or muscular disorder studies.
• Evaluation of fat infiltration in organs or tissues for cancer diagnosis or tumor monitoring.
• Advanced cardiac imaging to assess myocardial fat deposition for heart disease investigations.
• Research purposes in studying metabolic processes and distribution of fatty acids in various tissues.

BenefitsContent extracted from patent full text and abstract with AI.

• Provides more detailed and spatially resolved fat and fatty acid data compared to standard MR imaging techniques.
• Enables improved diagnosis and monitoring of diseases involving fat accumulation or metabolic changes.
• Facilitates non-invasive, in vivo assessment of tissue composition without the need for biopsies.
• The method can be integrated into existing MR systems with software and hardware upgrades.
• Potentially improves the accuracy of disease detection, progression monitoring, and treatment planning.

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Patent Abstract

A method is provided for generating a magnetic resonance image dataset containing spectroscopic information from an in vivo measurement. The method includes acquiring measurement data by a non-Cartesian k-space sampling scheme, performing a gradient correction of the measurement data, regridding the measurement data to Cartesian coordinates, Fourier-transforming the measurement data, determining the fat component and/or the fatty acid components of at least some of the volume elements using a model function applied to the signal distribution, and generating at least one magnetic resonance image dataset in which one piece of the spectroscopic information is mapped in a spatially resolved manner. A computer program product, a data medium, and a magnetic resonance system are also disclosed.