Iterative Reconstruction Method with Penalty Terms from Examination Objects and Magnetic Resonance System for Performing Such a Method

Simple SummaryContent extracted from patent full text and abstract with AI.

This patent presents an improved method for reconstructing magnetic resonance (MR) images. The method uses data from an initial scan layer of an object to calculate additional information, determines a penalty term based on this information, and incorporates the penalty during iterative reconstruction of MR images of a target area. This enhances the quality and accuracy of the resulting MRI images.

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

• Medical imaging in hospitals and clinics for more accurate diagnoses
• Research applications requiring high-quality MR images
• Industrial non-destructive testing using MR imaging techniques
• Veterinary imaging where precision is critical

BenefitsContent extracted from patent full text and abstract with AI.

• Improved image quality and accuracy in MR images
• Reduced imaging artifacts due to better reconstruction algorithms
• More reliable information for diagnostic and research purposes
• Potentially faster and more efficient MR image processing

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Patent Abstract

A method is disclosed for calculating an MR image of a target layer from an examination object, wherein the MR image is calculated using iterative reconstruction. In at least one embodiment, the method includes: acquiring MR data from an initial layer of the examination object, determining information produced by the examination object from the acquired MR data of the initial layer, determining a penalty term from the information produced by the examination object, and performing the iterative reconstruction of the MR image for the target layer taking into account the determined penalty term.