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Photon-Counting CT: Explore the Newest Advancement in the World of Computed Tomography

Matthew Fuld, Ph.D., Product Manager NAEOTOM Alpha, Photon-counting CT; Siemens Healthineers 

On Demand | Expires 8/1/2024

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*Approved by the ASRT for 1 Category A continuing education credit.

Overview:

In the words of the FDA, photon-counting CT (PCCT) is the “First Major Imaging Device Advancement for Computed Tomography in Nearly a Decade." This new detector technology measures X-ray photons differently than previous conventional scintillator-based detectors and offers tremendous potential for a quantum leap in CT imaging. Siemens Healthineers has introduced this technology to the market with the NAEOTOM Alpha. 

Join this session and hear from a top subject matter expert at Siemens Healthineers how this new system helps users impact treatment outcomes with answers that are truly meaningful, precise and reproducible. Learn how PCCT can help you benefit from confident therapeutic decision-making and potentially scan patients who may have been previously excluded – thanks to a never-before-seen range of clinical options, high-resolution images at minimal dose and breakthrough consistency.

Learning Objectives

1.

Recognize the basic conventional CT detectors

2.

Distinguish the basics of photon-counting CT detectors

3.

Explain why and how the differences matter both technically and clinically

4.

Identify a number of clinical examples where photon-counting CT improved understanding or operation

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Presenter:

Fuld Headshot - cropped-2

Matthew Fuld, Ph.D

Product Manager, NAEOTOM Alpha, Photon-counting CT; Siemens Healthineers

Dr. Fuld has a Ph.D. in biomedical engineering from the University of Iowa with expertise in medical imaging and lung physiology. He has worked for Siemens Healthineers for almost ten years in various roles, including five years in CT research and development and five years in product management.  Most recently, he served as the North American CT Product Manager covering multiple topics, including photon-counting, cardiac, pediatric and spectral imaging, as well as artificial intelligence.

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