Agfa-Gevaert has been granted a patent for a system that manages medical image data using a large image manager external to a PACS. This system generates representative objects from large medical images, facilitating efficient storage and retrieval while integrating with existing PACS workflows. GlobalData’s report on Agfa-Gevaert 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 Agfa-Gevaert, Document anti-counterfeiting was a key innovation area identified from patents. Agfa-Gevaert's grant share as of June 2024 was 85%. Grant share is based on the ratio of number of grants to total number of patents.
Medical image data management system and method
The granted patent US12027251B2 outlines a sophisticated system for managing medical image data, integrating a Picture Archiving and Communication System (PACS) with a large image manager component. The PACS operates using the Digital Imaging and Communication in Medicine (DICOM) protocol and features non-volatile storage for medical images. It is designed to handle various image management workflows, allowing for the efficient storage and retrieval of both large and small medical image data items. The large image manager, which is external to the PACS, identifies large medical images exceeding a specified size threshold, stores their pixel data, and generates representative data objects that are smaller in size. These representative objects are then transmitted to the PACS for incorporation into its workflows, ensuring that the lifecycle of large medical images is effectively managed.
Additionally, the system is capable of processing requests from viewing stations for specific medical images. It can determine whether the requested image is large or small and route the request accordingly. The large image manager can provide pixel data directly or through the PACS, depending on the request's nature. The patent also details methods for handling new large medical image data items, including extracting metadata and pixel data, and storing them appropriately. This comprehensive approach enhances the management of medical imaging data, ensuring that healthcare professionals can access and utilize medical images efficiently while maintaining compliance with established protocols.
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