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Large Imaging Equipment Manufacturer Introduces New CT Scanner

By MedImaging International staff writers
Posted on 04 Oct 2016
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Image: The new Somatom Confidence RT Pro CT radiation therapy scanner (Photo courtesy of Siemens Healthineers).
Image: The new Somatom Confidence RT Pro CT radiation therapy scanner (Photo courtesy of Siemens Healthineers).
A large manufacturer of medical imaging equipment has introduced a new Computed Tomography (CT) scanner dedicated for radiation therapy treatment.

The scanner was specifically designed for radiation oncologists, and physicists. The manufacturer also released updates to the accompanying software suite, which now includes advanced treatment of moving tumors.

The Somatom Confidence RT Pro CT radiation therapy scanner was introduced by Siemens Healthineers (Erlangen, Germany) together with Enhancing Somatom Confidence RT Pro, a new version of the syngo.via RT Image Suite software.

The new scanner uses the new DirectDensity algorithm, and is one of the first CT scanners that can provide electron density images independent of kV settings, and can simplify the dose calculation workflow. The scanner also provides personalized patient images that the clinician can use for optimal contouring of tumors and organs-at-risk. The images are optimized to enable physicists to perform radiation therapy treatment dose calculations. The scanner also features iMAR1, which can reduce the number of metal artifacts in the images of patients with implants.

The Somatom Confidence RT Pro also features Dual Energy1 capabilities. The scanner can automatically acquire two CT scans at different kV voltages. This allows the images to be manipulated for improved visualization. The new scanner functions like a CT simulator, providing images physicians can use to define at-risk organs and tumor targets.

Dr. Gabriel Haras, Radiation Oncology head at Siemens Healthineers, said, "This new offering complements the dedicated Siemens Healthineers MR, CT, PET/CT and software portfolio for radiation therapy and demonstrates how it can help healthcare facilities improve their outcomes while also lowering costs."

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