Medical Imaging refers to medical imaging, which delivers image data of organs and structures in medicine and especially in diagnostics. Currently, this field of medicine is associated with very high dynamics for research and development. Breakthroughs and advancements in computed tomography (CT) and magnetic resonance imaging (MRI) techniques, such as positron emission tomography (PET) and open MRI scanners, indicate that novel and innovative applications are emerging.
Researchers at the National Institute of Allergy and Infectious Diseases (NIAID) used PET scans based on biomarkers to evaluate the efficacy of tuberculosis treatments. CBCT scanners deliver high-precision 3D images of bone and U-shape MRI scanners now give physicians a clearer picture of how a body behaves in a sitting or extended position.
However, these innovations also mean enormous amounts of data. To enable physicians to use this data for diagnostics, a system must first process it. The speed with which a system processes this data is playing an increasingly important role and could be decisive for the widespread use of modern imaging solutions.
However, it is certainly not in the inventor’s interest to refrain from using a powerful tool simply because there are not enough data processing capacities available. That’s why more and more healthcare organizations are taking a different approach to meeting this challenge.
Organizations increasingly generate large amounts of data that need to be processed. To address this, healthcare facilities are increasingly turning to on-premise cloud solutions, which are mostly on-premise cloud service management servers. This shifts the computing capacity from a central data center towards the edge of the network and thus closer to the user.
This brings numerous benefits for the healthcare sector. Distributed and custom solutions would be united within a single platform. In a care facility, for example, thousands of devices could be grouped. It would also simplify data exchange and make maintenance more efficient. Also, storing patient information in a local cloud provides more data security and protection against cyber attacks. Also, relocation to a single platform simplifies real-time aggregation of medical data. Survey results are easier to analyze, decisions about treatment are faster and reaction times shorter. Based on scalable performance, the solution can grow as needed,
On-premise answers can be found not only in medical technology but also in many other areas. As companies transition to Industry 4.0 manufacturing solutions or manage other critical services, the Internet of Things provides comprehensive solutions. In addition to numerous advantages, this also brings with it particular challenges.
These systems are managed centrally, but in a networked environment that is not always an ideal solution. They increasingly need to be integrated with more complex, distributed IT systems that can set maintenance and updates, perform diagnostics, and plan required downtime.
This functionality raises the topic of cybersecurity. Such systems must support security technologies such as anti-malware functions, firewalls, and network-level authentication. In medical technology, the systems must also comply with the current cybersecurity guidelines of the FDA and other relevant authorities. Reliability also becomes a critical factor as consolidation cannot result in single-point-of-failure (SPOF); Systems often need to have availability class 6 (99.9999%) and be fully protected against data loss.
For such systems to grow and mature as needed, it is essential to focus on performance and scalability right from the design phase. The network latency must be as low as possible to ensure deterministic real-time communication over standard network protocols such as Ethernet. To enable manufacturers to meet all these requirements in a competitive cost environment, they must leverage open standards and ecosystems that allow extensions without opening the door to additional threats.
To implement an on-premises cloud infrastructure for critical services, companies are increasingly turning to virtualization for medical applications as well. Open source software, such as OpenStack, for creating public and private clouds in IT environments, together with the kernel-based virtual machine hypervisor, a virtualization infrastructure for the Linux OS, provides a solid foundation for on-premises cloud computing. Infrastructure. Since these technologies were originally developed for the IT industry, their use in critical systems requires additional effort.
Wind River’s Titanium Control solution uses these open source technologies, as well as Data Plane Acceleration and VM management services. This makes it suitable for use in critical infrastructures such as manufacturing and healthcare.
Virtualization has several advantages. This allows new systems to be used together with legacy systems. It provides a virtual environment that closely replicates the existing situation on a managed platform. In practice, this allows any legacy system to migrate to an on-premise cloud infrastructure, but it can continue to run as if it were still a custom system. Businesses can take advantage of a new platform of security, reliability, and performance. Also, they can quickly port existing applications. This provides a scalable performance that supports all inventory functions while ensuring the substantial enhancement of functionality.
The big advantage of virtualization is that neither the systems nor their functions have to interact with or be influenced by other systems/functions on the same physical platform. They run on a virtual machine (VM), but still on the same platform, making interactions easier to implement. Each feature runs on a virtual machine, but the Titanium Control platform supports near real-time VM-VM communication from the network interface card to the VMs. Also, Titanium-Control enables automatic error detection within a VM with 60 times faster recovery than an Enterprise Linux implementation. These are the benefits of a platform designed for critical infrastructures.
The primary requirement for the use of medical imaging in diagnostics is a scalable performance. A platform such as Titanium Control on the Intel Xeon Scalable platform can help improve radiology by providing the first image within two seconds and the full material in less than eight seconds. Appropriate development kits are available from Mouser Electronics.