In the beginning, physicians used advanced visualisation software only in academic institutions and large hospitals. It was a part of a workstation that was not utilised beyond the department where the station was located. As technology continually improved, advanced visualisation software saw major advancements, primarily driven by the need for other physicians to see these images.
Advanced visualization market analysis paints a positive outlook for the advanced visualisation market, as according to research conducted by Netscribes, the global advanced visualisation market is expected to generate a revenue of USD 3.94 Bn at a compound annual growth rate (CAGR) of 12.30% in 2023.
Advanced visualization market analysis paints a positive outlook for the advanced visualisation market, as according to research conducted by Netscribes, the global advanced visualisation market is expected to generate a revenue of USD 3.94 Bn at a compound annual growth rate (CAGR) of 12.30% in 2023.
One of the major technological advancements in advanced data visualisation has been the shift from thick client (workstation) to thin client (server based) and cloud technology. Physicians now use the hospital or imaging centre’s server to store images so that physicians with server access can view them. By choosing to use cloud technology, hospitals and other networks can store large volumes of data over the internet via a third party hosted cloud server.
Advanced visualisation software is able to streamline radiology workflow, which increases the speed by which physicians can access and view images. Algorithms are becoming available to do a lot of the pre-processing and post processing automatically, furthering simplifying the work flow. Advanced visualisation is moving towards the use of multimodality 3D and fusion. Multimodality fusion involves the ability to use CT, MRI and PET at the same time to gain a holistic idea of the patient’s condition.
Advanced visualisation software is able to streamline radiology workflow, which increases the speed by which physicians can access and view images. Algorithms are becoming available to do a lot of the pre-processing and post processing automatically, furthering simplifying the work flow. Advanced visualisation is moving towards the use of multimodality 3D and fusion. Multimodality fusion involves the ability to use CT, MRI and PET at the same time to gain a holistic idea of the patient’s condition.
Current technological obstacles such as performance and bandwidth limitations can decrease the speed of development, capacities and capabilities of the global market. With these obstacles out of the way, the future for advanced visualisation seems promising, as it will continue to play an important role in the area of dementia and Alzheimer’s study.
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