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What could photon-counting CT mean for the future of imaging?

MUSC discusses its experiences with the NAEOTOM Alpha CT system

Some of the very first users of the NAEOTOM Alpha CT system, the world’s first photon-counting CT, discuss their experiences and how they expect this new technology will reshape healthcare delivery.

Watch to experience the exciting arrival of this brand-new, revolutionary scanner and hear from Joseph Schoepf, MD, Professor of Radiology, Medicine, and Pediatrics at the Medical University of South Carolina (MUSC), and Nichole Pool, CT Technologist at MUSC.

    NAEOTOM Alpha Teaser image

    What this could mean for the future of CT

    The NAEOTOM Alpha with Quantum Technology will redefine CT imaging. Based on the revolutionary direct signal-conversion of its QuantaMax detector, NAEOTOM Alpha offers high-resolution images at minimal dose, spectral information in every scan, and improved contrast at lower noise.

    MUSC and Siemens Healthineers: Advancing Care Quality

    As part of their Value Partnership, MUSC and Siemens Healthineers have collaborated to advance CT technology – including, most recently, the research and development of the world’s first photon-counting CT, the NAEOTOM Alpha.

    With this new system, MUSC can potentially enable more confident decision-making, particularly for those patients who couldn’t be scanned with high confidence, such as patients with high calcium burden, coronary stents, and many others. 

    "There are so many applications on the horizon that will benefit our patients. I think it will make the medicine that we provide our patients more precise, and it will help us to provide truly patient-centered medicine."1

    Dr. Joseph Schoepf, Professor of Radiology, Medicine, and Pediatrics at MUSC

    <p>Dr. Joseph Schoepf, Professor of Radiology, Medicine, and Pediatrics at MUSC</p>

    Dr. Joseph Schoepf, Professor of Radiology, Medicine, and Pediatrics at MUSC

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      The outcomes and statements provided by customers of Siemens Healthineers are unique to each customer’s setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, and level of service/technology adoption), there can be no guarantee that others will achieve the same results.