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

Feature | Information Technology | By Melinda Taschetta-Millane

The Healthcare Information and Management Systems Society (HIMSS) Global Health Conference and Exhibition brought ...

Time May 01, 2024
arrow
News | Breast Imaging

April 30, 2024 — Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports ...

Time April 30, 2024
arrow
Feature | Information Technology | By Jef Williams

The rapid growth of healthcare data has reached unprecedented heights, making up about 30% of the world’s stored data.¹ ...

Time April 30, 2024
arrow
News | Proton Therapy

April 29, 2024 — Koneksa, a healthcare technology company pioneering evidence-based digital biomarkers, announced today ...

Time April 29, 2024
arrow
Feature | Breast Imaging | By Christine Book

From implementing artificial intelligence effectively, advocating for radiologists, and working tirelessly to expand ...

Time April 29, 2024
arrow
News | FDA

April 29, 2024 — The U.S. Food and Drug Administration (FDA) announced Elekta Instrument AB is recalling Disposable ...

Time April 29, 2024
arrow
News | Information Technology

April 25, 2024 — NewVue Inc., a leader in innovative cloud-native radiology workflow solutions, announced a strategic ...

Time April 25, 2024
arrow
News | Enterprise Imaging

April 25, 2024 — International medical imaging IT and cybersecurity company Sectra has signed two contracts to provide ...

Time April 25, 2024
arrow
News | Radiation Dose Management

April 25, 2024 — BIOTRONIK, a leading global medical technology company specializing in innovative cardiovascular and ...

Time April 25, 2024
arrow
News | Radiology Business

April 23, 2024 — A diverse writing group, led by authors at the University of Toronto, have developed an approach for ...

Time April 23, 2024
arrow
Subscribe Now