News | Computed Tomography (CT) | October 24, 2020

AI-powered premium large bore CT scanner offers industry’s largest bore and widest field-of-view

AI-powered premium large bore CT scanner offers industry’s largest bore and widest field-of-view

October 24, 2020 — An estimated 1.8 million new cancer cases will be diagnosed in the U.S. this year alone. With a disease so prevalent, treatments like radiation therapy are critical, and while planning, clinicians require accuracy, precision and speed. Giving clinicians the opportunity to see more during radiation therapy planning, Canon Medical Systems USA, Inc. is introducing the Aquilion Exceed LB CT system (pending 510(k) clearance) during this year’s virtual American Society for Radiation Oncology (ASTRO) Annual Meeting.

The Aquilion Exceed LB can help Radiation Oncologists with fast and efficient radiation oncology workflows without compromising on patient position, image quality, or reproducibility. Features include:

  • Accuracy in even the most complex simulations through industry-leading capabilities, like the largest bore opening (90 cm), edge-to-edge extended Field-of-View (90 cm) reconstruction and widest detector coverage (4 cm).
  • Better contouring using Artificial Intelligence (AI) with sharp, clear and distinct images from Canon Medical’s Advanced intelligent Clear-IQ Engine (AiCE) Deep Learning Reconstruction (DLR) technology.
  • Expanded capabilities – because of the Aquilion Exceed LB’s suite of premium CT capabilities, the system is positioned for shared services to enable high-quality treatment follow-up and interventional procedures.

“Accurate simulation across even the most challenging treatment plans is imperative during radiation therapy planning,” said Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA, Inc. “At Canon Medical, we deliver solutions that meet providers’ needs but also push the boundaries of traditional simulation. With the Aquilion Exceed LB, we brought deep learning reconstruction to the CT simulation space. This will revolutionize care for cancer patients and give the radiation oncology team the confidence and precision they need for accurate planning across patients.”

Learn more about Canon Medical’s new Exceed LB CT system by visiting our virtual booth during ASTRO, October 23 – 29, 2020.

For more information: us.medical.canon


Related Content

News | Radiopharmaceuticals and Tracers

July 24, 2024 — Telix Pharmaceuticals Limited announced that the United States (U.S.) Food and Drug Administration (FDA) ...

Time July 24, 2024
arrow
News | Digital Pathology

July 24, 2024 — Proscia, a developer of artificial intelligence (AI)-enabled digital pathology solutions for precision ...

Time July 24, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
News | Radiation Therapy

July 22, 2024 — RefleXion Medical, an external-beam theranostic oncology company, today announced that researchers from ...

Time July 22, 2024
arrow
News | ASTRO

July 18, 2024 — The members of the American Society for Radiation Oncology (ASTRO) recently elected five new officers to ...

Time July 18, 2024
arrow
News | PET-CT

July 16, 2024 — A new research paper was published in Oncotarget's Volume 15 on June 20, 2024, titled, “Comparison of ...

Time July 16, 2024
arrow
News | Digital Pathology

July 12, 2024 — AGFA HealthCare, a global leader in healthcare imaging management solutions, announced that Enterprise ...

Time July 12, 2024
arrow
News | Digital Pathology

July 12, 2024 — Diagnosing cancer and providing the personalized therapy it often requires, is a collaborative effort ...

Time July 12, 2024
arrow
Videos | Radiology Business

Find actionable insights to achieve sustainability and savings in radiology in this newest of ITN’s “One on One” video ...

Time July 12, 2024
arrow
Subscribe Now