Siemens Healthineers – Shape 22 press conference

On November 15th, Siemens Healthineers Shape 22 will bring together top decision-makers and specialized healthcare professionals. In the following press conference on November 16th starting at 1 p.m. CET, we will showcase our innovations in diagnostic imaging in a dedicated press conference and answer your questions.

Published on 10. November 2021

Siemens Healthineers launches world’s first CT scanner with photon-counting technology

Link to this press release

Siemens Healthineers facilitates access to MRI with cost-effective whole-body scanner

Link to this press release

Press Conference

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: André Hartung
President of Diagnostic Imaging, Siemens Healthineers
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Biography
: With Naeotom Alpha, Siemens Healthineers introduces the world’s first photon-counting CT scanner.
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Copyright: Centre Cardio-Thoracique, Monaco, MC
Naeotom Alpha brings the first ever combination of dual source and photon-counting detector: Dual source temporal resolution allows us to scan patients at any heart rate. The addition of the photon-counting detector allows for spectral information and high-resolution. Bringing spectral imaging to the vessels enables us to peek behind the curtain of calcium.
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Copyright: Erasmus Medical Center, Rotterdam, NL
Different scan parameters as well as changes in the patient´s habitus are factors which can cause inconsistencies of measurements and potentially influence the evaluation of tumor response during treatment. The standard monoenergetic images provided by Naeotom Alpha in every scan allow radiologists to eliminate sources of imprecision.
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Lung images of a post-COVID patient with photon-counting CT
Photon-counting technology allows for simultaneous acquisition and visualization of detailed structures (center image) combined with functional information (image on the right). For comparison, an image acquired with conventional CT technology (on the left).
© Courtesy of Dr. J. Ferda, University Hospital Plzen, Czech Republic
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: Magnetom Free.Star¹ leverages image processing innovations such as deep learning based image reconstruction to provide an excellent clinical performance for all routine applications.
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