Technology | Computed Tomography (CT) | December 13, 2017

Toshiba Medical Introduces Aquilion Prime SP CT System at RSNA 2017

Aquilion Prime SP features enhanced workflow capabilities and premium imaging technology for every patient

Toshiba Medical Introduces Aquilion Prime SP CT System at RSNA 2017

December 13, 2017 — Toshiba Medical, a Canon Group company, introduced its new Aquilion Prime SP computed tomography (CT) system at the 2017 Radiological Society of North America (RSNA) Annual Meeting, Nov. 26-Dec. 1 in Chicago. The CT system features advanced imaging technology from Toshiba Medical’s high-end CT systems, giving clinicians the right balance between image quality and lower dose for every patient from pediatric to bariatric.

The new Aquilion Prime SP can generate 160 unique slices per rotation with 0.35-second scanning, reducing time required to diagnosis. The system also features a 78-cm aperture gantry and a 660-pound patient-weight-capacity couch, making it an ideal solution for use in emergency scanning or bariatric patient studies, according to Toshiba. An optimized beam spectrum and a more an efficient detector based on PUREViSION Optics, provides the Aquilion Prime SP with reduced dose by up to 31 percent and improved LCD for the body (22 percent) and brain (19 percent). The system can help improve workflow with three-phase Variable Helical Pitch (vHP3), which easily combines gated and non-gated optimized SUREExposure and Helical Pitch settings all within a single helical scan. To help minimize repeat cardiac imaging scans, the system features SURECardio Helical Prospective, which adapts to patients’ heart rate automatically, even overcoming unexpected arrhythmia.

For more information: www.medical.toshiba.com

Related Content

An axial CT image obtained without intravenous contrast in a 36‐year‐old male (Panel A) shows bilateral ground‐glass opacities in the upper lobes with a rounded morphology (arrows). #coronavirus #nCoV2019 #2019nCoV #COVID19

An axial CT image obtained without intravenous contrast in a 36‐year‐old male (Panel A) shows bilateral ground‐glass opacities in the upper lobes with a rounded morphology (arrows). Image courtesy of Radiology Online.

News | Computed Tomography (CT) | February 20, 2020
February 20, 2020 — In new research
Chest CT imaging of patient. #coronavirus #nCoV2019 #2019nCoV #COVID19

Examples of typical chest CT findings compatible with COVID-19 pneumonia in patients with epidemiological and clinical presentation suspicious for COVID-19 infection. This image is part of the original research, Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR, published Feb. 19, 2020, in Radiology Online.

News | Computed Tomography (CT) | February 19, 2020
February 19, 2020 — In new research
Novel Coronavirus 2019-nCoV Pneumonia. #coronavirus #nCoV2019 #2019nCoV #COVID19

Image by _freakwave_ from Pixabay 

News | Computed Tomography (CT) | February 16, 2020
February 16, 2020 — The following statement was issued by the U.S.
negative RT-PCR results and chest CT findings compatible with 2019-nCoV pneumonia. #coronavirus #nCoV2019 #2019nCoV #COVID19

Figure 1: Patient flowchart. Of 167 patients screened, 5 (3%) had negative RT-PCR results and chest CT findings compatible with 2019-nCoV pneumonia. Chart courtesy of Radiology

Feature | Computed Tomography (CT) | February 14, 2020
As the 2019-nCoV Pneumonia is taking the world by storm, researchers have found a possible way to predict this virus
The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.
Mobile devices proved both reliable and accurate for the clinical decision to administer IV thrombolysis in patients with acute stroke

Appearance of same unenhanced CT scan on three reading systems: E-2620 monitor (Barco) (A), Galaxy S8 Plus (Samsung) smartphone (B) and ThinkPad T460s laptop computer (Lenovo) (C).

News | Computed Tomography (CT) | February 12, 2020
February 12, 2020 — Mobile devices proved both reliable and accurate for the clinical decision to administer IV throm
CT image of Novel Coronavirus 2019-nCoV from the Radiology article showing a baseline CT image of a 75 year old male with multiple patchy areas of pure ground glass opacity (GGO) and GGO with reticular and/or interlobular septal thickening. Follow-up CT images on day 3 after admission show an overlap of organizing pneumonia with diffuse alveolar damage in that it is more diffuse and associated with underlying reticulation. Read more and see 15 more images from novel coronavirus patients in the article.

An image from the Radiology article showing a baseline CT image of a 75 year old male with multiple patchy areas of pure ground glass opacity (GGO) and GGO with reticular and/or interlobular septal thickening. Follow-up CT images on day 3 after admission show an overlap of organizing pneumonia with diffuse alveolar damage in that it is more diffuse and associated with underlying reticulation. Read more and see 15 more images from novel coronavirus patients in the article.

Feature | Computed Tomography (CT) | February 11, 2020
February 11, 2020 — The Radiological Society of North America (RSNA) jo
A patient-specific airway stents developed by Cleveland Clinic physician Tom Gildea, M.D. 

A patient-specific airway stents developed by Cleveland Clinic physician Tom Gildea, M.D. 

News | Computed Tomography (CT) | February 10, 2020
February 10, 2020 — The U.S.

Image courtesy of GlobalData

News | Computed Tomography (CT) | February 10, 2020
February 10, 2020 — The compute...
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019.

An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.

Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...