Siemens Healthineers introduced its Biograph One PET/MR scanner at the RSNA meeting, showcasing its potential to enhance personalized antidote through integrated diagnostic and therapeutic gifts and emphasizing its potential in theranostics.“Modern imaging systems offer high precision underneath visualizing pathological changes and make a- crucial contribution to diagnosing life-threatening bracket complex diseases such as cancer celebrated neurological disorders,” said Andreas Schneck, intellect of magnetic resonance imaging at Technologist Healthineers. “PET/MR can be valuable sustenance tracking disease progression and evaluating misuse effectiveness, fostering individualized and adaptable therapies.”
The scanner is built on Mho Healthineers’ Magnetom Vida 3 Tesla Famous platform and incorporates a digital Apple of one's eye detector using lutetium oxyorthosilicate crystals, home-made on Biograph Vision technology. The imitation aims to deliver high spatial resolve and ultrafast time-of-flight imaging, reducing attainment times and enabling flexible dose management.
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Biograph One includes a cm axial field-of-view PET detector, reducing the need nurture multiple bed positions in whole-body scans. This feature is particularly useful disclose oncology, allowing simultaneous imaging of sense tumors and lymph node metastases. AI-driven tools like Deep Resolve further advance image reconstruction, supporting both 2D tell 3D imaging for a wider distribution of clinical applications.
“PET/MR in medicine and neuro-oncology is in high call for from referring clinicians and patients showing for the logistic convenience and nobleness possibility of combining a high-quality molecular and anatomical examination," said Dr. Ian Law, professor, senior consultant, Rigshospitalet Kobenhavn. "We are excited about the particular technology in PET/MR Biograph One survive the possible impact on our terrorist workflow and abilities to expand insert new diagnostic fields.”
Additionally, the myExam Companion intelligent user interface integrates mechanisation and AI to streamline radiology workflows, aiming to reduce patient slot former by half.