Technology Report:

Computed Tomography (CT)

Contributing Editor Greg Freiherr offers an overview of computed tomography (CT) advances at the Radiological Society of North America (RSNA) 2015. The video includes Freiherr during his booth tours with some of the key vendors who were featuring new technology.

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This is a lung X-ray reviewed automatically by artificial intelligence (AI) to identify a collapsed lung (pneumothorax) in the color coded area. This AI app from Lunit is awaiting final FDA review and in planned to be integrated into several vendors' mobile digital radiography (DR) systems. Fujifilm showed this software integrated as a work-in-progress into its mobile X-ray system at RSNA 2019. GE Healthcare has its own version of this software for its mobile r=ray systems that gained FDA in 2019.   #RSNA #

This is a lung X-ray reviewed automatically by artificial intelligence (AI) to identify a collapsed lung (pneumothorax) in the color coded area. This AI app from Lunit is awaiting final FDA review and in planned to be integrated into several vendors' mobile digital radiography (DR) systems. Fujifilm showed this software integrated as a work-in-progress into its mobile X-ray system at RSNA 2019. GE Healthcare has its own version of this software for its mobile r=ray systems that gained FDA in 2019.

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Hitachi announced the FDA clearance of its newest CT – Scenaria View – at RSNA2019.
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This is artificial intelligence on Fujifilm's mobile digital radiography system to immediately detect pneumothorax (a collapsed lung) and show the location to the technologist and attending physician in a unit before the image is even uploaded to the PACS for a read. AI applications like this that have immediate impact on critical patient care saw a lot of interest at RSNA 2019.

This is work-in-progress artificial intelligence app on Fujifilm's mobile digital radiography system to immediately detect pneumothorax (a collapsed lung), The AI highlights the area of interest to show the location to the technologist and attending physician in a unit before the image is even uploaded to the PACS for a read by a radiologist. The technology also can flag the study for an immediate read in the PACS worklist for confirmation by a human. This technology is from a third-party and will be offered on Fujifilm's REiLI AI platform. Applications like this that have immediate impact on critical patient care saw a lot of interest at RSNA 2019. Photos by ITN Editor Dave Fornell.

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Introduced in 2018, the NeuroLogica OmniTom CT brings state-of-the-art 16-slice CT imaging to the patient bedside, operating room (OR) and other mobile clinical settings, raising the bar for mobile CT imaging

Introduced in 2018, the NeuroLogica OmniTom CT brings state-of-the-art 16-slice CT imaging to the patient bedside, operating room (OR) and other mobile clinical settings, raising the bar for mobile CT imaging. The new DORO clamp helps maximize the scanner’s performance for some of today’s most challenging interventions.

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The Hitachi Scenaria View CT scanner on display at the 2019 Radiological Society of North America (RSNA) meeting in December. This workhorse 64 or 128 slice CT system, and Hitchai's portfolio of MRI and ultrasound systems, is attracting the attention of Fujifilm, which does not have some of these technologies. Combined, the new new portfolio may help Fufifilm capture a parger portion of international radiology market share. Photo by Dave Fornell.

The Hitachi Scenaria View CT scanner on display at the 2019 Radiological Society of North America (RSNA) meeting in December. This workhorse 64 or 128 slice CT system, and Hitchai's portfolio of MRI and ultrasound systems, is attracting the attention of Fujifilm, which does not have some of these technologies. Combined, the new new portfolio may help Fujifilm capture a larger portion of international radiology market share. Photo by Dave Fornell.

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CT_Pediatric_Scan_Philips_Vereos_CT_RSNA 2016

Image courtesy of Philips Healthcare

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62-year-old woman with pure ground-glass nodules (GGN). PET/CT fusion image shows pure GGN with tumor maximum standardized uptake value of 2.8 (circle).

62-year-old woman with pure ground-glass nodules (GGN). PET/CT fusion image shows pure GGN with tumor maximum standardized uptake value of 2.8 (circle).

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