News | Imaging Software Development | May 10, 2016

Software allows faster dose calculation for shielding and radiological protection systems design with Monte Carlo-based simulation

Varian, Attila4MC software, dose calculation, X-ray design, CAE

May 10, 2016 — Varian Medical Systems Inc. announced the release of new computer-aided engineering (CAE) software for simplifying the process of designing shielding and radiological protection systems. 

Varian's new Attila4MC software provides engineers using Monte Carlo N-Particle Code (MCNP) in their product designs with an intuitive graphical user interface (GUI) that simplifies and accelerates the calculation process. Varian further expects Attila4MC to be particularly useful for research involving medical physics and nuclear engineering.

"Our goal in developing Attila4MC was to help MCNP users be more productive," said Greg Failla, senior manager, Attila Product Line at Varian. "Attila4MC enables organizations to more effectively incorporate Monte Carlo simulation results into their product designs, and we are committed to helping users improve the ease, speed, and confidence of their calculations."

"We are continually searching for ways to deliver more value to our customers by providing faster simulations," said Birgit Wortmann, who holds a doctorate of engineering and is deputy head of nuclear physics, STEAG Energy Services GmbH. "We are convinced that Attila4MC provides a good opportunity to run MCNP simulations faster and provide more timely results."

Attila4MC enables engineers to reduce analysis bottlenecks through several capabilities, including:

  • Robust CAD integration;
  • GUI-based calculation setup; and
  • Automated variance reduction.

Attila4MC users have the opportunity to shorten the analysis cycle and to more efficiently utilize detailed Monte Carlo simulation results to optimize the safety, reliability and performance of the products they are developing.

Varian also offers an optional CAD add-on with Attila4MC, providing part-time users the full power of solid modeling at their fingertips.

For more information: www.varian.com


Related Content

News | Artificial Intelligence

June 18, 2024 — The advancement of Artificial Intelligence (AI) in healthcare to support diagnostic decision making ...

Time June 18, 2024
arrow
News | Digital Radiography (DR)

June 12, 2024 — Carestream launched its Image Suite MR 10 Software to help deliver a boost to productivity and ...

Time June 12, 2024
arrow
News | Artificial Intelligence

June 6, 2024 — Sunway Medical Centre, Sunway City (SMC), the largest private quaternary hospital in Malaysia, embarks on ...

Time June 06, 2024
arrow
News | Digital Radiography (DR)

June 6, 2024 — In a landmark study, the latest in technology innovation by Konica Minolta Healthcare was used to develop ...

Time June 06, 2024
arrow
News | FDA

May 30, 2024 — Vuze Medical, which develops medical technology to transform intra-operative guidance in spinal ...

Time May 30, 2024
arrow
News | Artificial Intelligence

May 22, 2024 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, recently ...

Time May 22, 2024
arrow
News | Cardiac Imaging

May 17, 2024 — The Cum Laude Award-Winning Online Poster presented during the 124th ARRS Annual Meeting found that the ...

Time May 17, 2024
arrow
News | Mammography

May 6, 2024 — Enable Me, a VELA Medical company, cited major new research by Siemens Healthineers entitled, “The future ...

Time May 06, 2024
arrow
Feature | Digital Radiography (DR) | By Melinda Taschetta-Millane

Digital radiography (DR) continues to advance at a rapid pace with today’s technological innovations and evolving ...

Time May 06, 2024
arrow
Feature | Radiology Business

Beginning this spring, ITN will begin sending out a bi-monthly survey to our readers on a variety of topics, which we ...

Time May 02, 2024
arrow
Subscribe Now