Sampling Pattern for Iterative MR Reconstruction Methods

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

This invention proposes a novel sampling strategy and iterative reconstruction technique for generating magnetic resonance (MR) images. By using multiple detection coils, it undersamples the central data region in a structured way and the outer regions incoherently, enabling efficient data acquisition. The reconstruction process iteratively refines the MR image using detailed information about each coil's characteristics.

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

• Faster MR imaging in clinical diagnostics, reducing scan times for patients.
• High-resolution imaging in research settings where traditional full sampling is impractical.
• Pediatric or emergency MR imaging where patient movement is a concern and rapid scans are beneficial.
• Functional MR imaging where multiple scans are needed in quick succession.

BenefitsContent extracted from patent full text and abstract with AI.

• Reduces MR scan time by allowing undersampling of data without significant loss of image quality.
• Improves patient comfort and throughput in hospitals by shortening the time required in the MR scanner.
• Achieves high-quality images even with less data, potentially making MR imaging more accessible.
• Flexible sampling strategies can be adapted for a variety of clinical and research MR applications.

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Patent Abstract

In a method to generate magnetic resonance (MR) images of an examination subject, MR signals are detected simultaneously with multiple coils, each coil having its own coil characteristic. In the detection of the MR signals, raw data space is incompletely filled with MR signals; with raw data space being undersampled in a central raw data region with a coherent acquisition pattern that is composed of a spatially repeating set of raw data points; and raw data space outside of the central raw data region is sampled with an incoherent acquisition pattern. The MR image is reconstructed from the detected MR signals, step-by-step in an iterative reconstruction procedure using a reconstruction matrix A, starting from an initial estimate; wherein the reconstruction matrix has continuing information about the coil characteristics with which the MR signals were detected.