The working group of Software Engineering/System Integration develops not only complex software systems for internal and external ultrasound research but also forms the bridge to the customer and user with the creation of application-specific systems.
In the field of software engineering this group develops software concepts and libraries for all ultrasound frequency ranges from low-frequency sonar to classical medical imaging, right up to high-frequency ultrasound microscopy. This means that we can take recourse to joint resources for use in diverse applications for the control of the ultrasound hardware, signal processing including parameter extraction, as well as visualization techniques for both 2D and 3D imaging and image processing. Our software components are used both in firmware and embedded software in measurements systems as well as in classical desktop applications, independently or networked, right up to mobile apps on smartphones and tablets. All of these systems are subject to the same high demands in terms of quality and reliability. We fulfil these by testing our core technologies, but also individual software systems that we develop in classical or agile development processes, both as medical products or in accordance with industrial requirements.
In the field of system integration we execute the application integration of all the individual components in complete systems. Here the compatibility and interoperability of different software components are ensured, usually in combination with the measurement electronics and mechanics (construction with additional actuators and sensors) and optimized to product maturity. Customer-specific software solutions are created for these applications and the complete systems are tested either according to medical regulations or industrial standards. Alongside classical medical imaging systems, we also integrated a wide range of systems for special applications for example in multimodal and hybrid imaging (parallel MR+US, US+optics such as optoacoustics) as well as functional imaging.