Computer Vision News 24 I imagine speaking to kids and the public is very different from being a marketing manager competing in the global market with all the sharks in the ocean. Yeah, no, absolutely. At Siemens Healthineers, I’ve been very lucky to be working in the Headquarter team, which is based in Germany in Erlangen. There, I met many brilliant colleagues, and it’s extremely stimulating to have all these people around you with so much knowledge about MRI in particular. It’s an environment that fosters being very competitive and at the top of what’s happening. In MRI in particular, there’s always something going on from the research perspective, it’s an ever-evolving field. This stimulates advancements in the field and challenges us to remain on top. With access to MRI remaining very competitive, do you ever worry that people will work more on cheaper and more accessible technologies like X-ray and ultrasound instead? The access aspect is definitely a real issue, but nowadays we have the right technologies and innovations that enable us to make MRI more accessible. One of these is the fact that the MRI acquisition is much faster than what used to be. If you have a shorter examination time, you can scan more patients. This means that you have a higher patient throughput, which balances the costs of the MRI systems. As we’re talking in a computer vision journal, maybe we can also mention that these technologies are often based on deep learning – how we can speed up the scan and the reconstruction of the images. This technology has been really disruptive in the past few years, and this is just one of the examples of how we can improve access to MRI, in addition to having a broad portfolio of systems that can meet different needs in different countries. What computer vision you work on and how algorithms are used in your office? In the past few years, new deep learning-based reconstruction algorithms have been introduced, not only by Siemens Healthineers but also by other companies and Women in Science
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