GE HealthCare Technologies. has been granted a patent for a magnetic resonance imaging method that involves acquiring multiple k-space data sets using various imaging sequences. The method includes reconstructing images from these data sets and averaging their amplitudes to produce a composite magnetic resonance image. GlobalData’s report on GE HealthCare Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on GE HealthCare Technologies, Nucleoside chemical synthesis was a key innovation area identified from patents. GE HealthCare Technologies's grant share as of June 2024 was 47%. Grant share is based on the ratio of number of grants to total number of patents.
Magnetic resonance imaging method using k-space data sets
The granted patent US12044760B2 outlines a novel magnetic resonance imaging (MRI) method that enhances image quality through the acquisition and processing of multiple k-space data sets. The method involves utilizing various imaging sequences, each characterized by a pre-phase-dispersion gradient pulse followed by multiple phase encoding gradients. A key feature is the standard area difference between the pre-phase-dispersion gradient pulses, which is defined as 2/N of the area of any phase encoding gradient, where N represents the number of imaging sequences. The method also includes the reconstruction of magnetic resonance images from these k-space data sets and the averaging of their amplitudes to produce a final image of average amplitude.
Additionally, the patent describes a system for implementing this MRI method, comprising a gradient coil for generating encoding gradients, a radio frequency coil for producing RF pulses, and a processor that coordinates the imaging sequences and data acquisition. The system is designed to ensure that the echoes of the k-space data sets maintain a standard phase offset of 2p/N, further contributing to the consistency and quality of the resulting images. The claims also encompass various configurations of the imaging sequences, including the incorporation of radio-frequency excitation and refocusing pulses, diffusion gradient pulses, and alternative frequency encoding gradients, thereby providing a comprehensive framework for advanced MRI techniques.
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