“In the end, we want the dose profile along the craniocaudal axis, so from head to feet,” Brian continues. “In this particular case, limited to the lung region. We need to have all of our scans covering the lungs. We can align them on the lung top. As all of these scans are aligned, whether they go from head to abdomen or cover limited parts of the top of the lung, we can use all this data. Once this is done, we can query the points along the axis and get our attenuation. The good thing is that because of this AutoDecoder approach and this latent vector corresponding to a patient, we can get the actual ground truth of the attenuation for the part we already scanned while the scan is happening. We can refine this latent vector in real-time to ensurewe’reas close as possible to the patient.” While many people are familiar with Siemens Healthineers as a prominent manufacturer in the medical field, there’s more to it than meets the eye, particularly within the MICCAI community. The company boasts a substantial research and development department committed to pushing the boundaries of technology. It pioneers state-of-the-art innovations, not only in hardware but also in software development. Regarding the next steps for this work, we invite Brian to dream– what would he add or change about it if he had a magic wand? “The part we’re missing, and it’s very challenging, is that our model doesn’t work well if patients have metallic implants,” he reveals. “Our model relies 14 DAILY MICCAI Monday Poster Presentation
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