GE HealthCare Technologies. has filed a patent for a system and method to eliminate noise from imaging data. The system includes coils to generate data sets, with a processor removing interference using an interference removal parameter. 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 January 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
Imaging system to remove noise from data sets
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The patent application (Publication Number: US20240038368A1) describes an imaging system that includes a plurality of coils generating data sets and a processor configured to receive and process these data sets to remove radio frequency interference. The system utilizes interference removal parameters to effectively eliminate interference from the data sets, enhancing the quality of imaging results. The coils can be multi-channel RF coils exposed to near-field or far-field systems, capturing imaging and non-imaging data for interference removal.
Furthermore, the method outlined in the patent involves determining radio frequency interference for each RF coil, estimating interference removal parameters, and removing interference from the data sets. Different weights are assigned to frequencies in near-field and far-field systems, with interference removal matrices calculated to separate MR signals from interference. Calibration data is used to estimate these matrices, ensuring accurate removal of interference and producing noise-free image data stored in the system's memory. Overall, the system and method detailed in the patent aim to improve imaging quality by effectively addressing radio frequency interference in data acquisition and processing.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies
