Technology | Treatment Planning | December 27, 2018

RayStation 8B Released With Machine Learning Applications for Treatment Planning

New features allow automated treatment planning and organ segmentation

RayStation 8B Released With Machine Learning Applications for Treatment Planning

December 27, 2018 — RaySearch Laboratories released RayStation 8B, the latest version of the radiation therapy treatment planning system (TPS), with new advances including some automation applications using machine learning and deep learning. Other major news in RayStation 8B include a new module for evaluation of robustness of treatment plans and photon Monte Carlo dose.

Machine learning means that the algorithms in these features learn from the data they are trained on, and they learn in a way that resembles human logic. The applications for automated treatment planning and automated organ segmentation will help improve efficiency and consistency in the clinic. The machine learning framework delivered with RayStation 8B allows for models to be trained on the clinic’s available data, and it is also possible to use pre-trained models provided by RaySearch.

The new features have been developed by RaySearch’s in-house machine learning department in collaboration with Princess Margaret Cancer Centre in Toronto, Canada, and are the first machine learning applications in a TPS on the radiation oncology market today, according to the company.

Robust evaluation is a new module in Plan Evaluation, which enables efficient evaluation of robustness of treatment plans with respect to uncertainties in patient setup and density interpretation of computed tomography (CT). Multiple scenarios with different uncertainty settings are easily created and the scenarios can be evaluated simultaneously for quick decision support. This is achieved through display of different robustness metrics connected to the clinical goals of the treatment.

Improvements for photon planning include a Monte Carlo dose engine. The Monte Carlo dose algorithm brings improved accuracy and it is utilizing the graphics processing unit (GPU) to enable fast dose computation. The dose for a dual arc volumetric modulated arc therapy (VMAT) plan can be computed in less than 60 seconds, which is at least one order of magnitude faster than any other system on the market, according to RaySearch. The Monte Carlo dose engine can be used also during optimization.

Boron neutron capture therapy (BNCT) planning has been under development since 2017 and is now available in RayStation 8B. BNCT is a type of radiation therapy that enables targeting of cancer at the cellular level. BNCT planning in RayStation is developed together with Sumitomo Heavy Industries Ltd and Neutron Therapeutics Inc.

RayStation 8B also adds various improvements and enhancements, including support for directly deliverable multicriteria optimization (MCO) for VMAT, collimation of individual energy layers with the Adaptive Aperture of the Mevion S250i Hyperscan proton therapy system, and handling of relative biological effectiveness for proton dose.

For more information: www.raysearchlabs.com

Related Content

Amazon Comprehend Medical Brings Medical Language Processing to Healthcare
News | Artificial Intelligence | February 15, 2019
Amazon recently announced Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows...
Videos | Radiation Therapy | February 15, 2019
ITN Associate Editor Jeff Zagoudis speaks with Vinai Gondi, M.D., director of research and CNS neuro-oncology at the
New Targeted Therapy for Recurrent Brain Tumors Implanted for First Time
News | Radiation Therapy | February 15, 2019
University of Minnesota Health (M Health) is the first in the United States to begin offering GammaTile Therapy, a new...
Fujifilm Exhibits Enterprise Imaging Solutions and Artificial Intelligence Initiative at HIMSS 2019
News | Enterprise Imaging | February 15, 2019
Fujifilm Medical Systems U.S.A. Inc. and Fujifilm SonoSite Inc. showcased their enterprise imaging and informatics...
IBM Watson Health Announces New AI Collaborations With Leading Medical Centers
News | Artificial Intelligence | February 14, 2019
IBM Watson Health announced plans to make a 10-year, $50 million investment in research collaborations with two...
Densitas Enters Partnership Agreement With TeleMammography Specialists
News | Breast Density | February 14, 2019
Breast imaging analytics company Densitas Inc. announced a new collaboration partnership with TeleMammography...
Sponsored Content | Webinar | Artificial Intelligence | February 14, 2019
This Nuance-sponsored ITN webinar will be held at 1 p.m. Eastern time, Tuesday, Feb. 26, 2019.
Siemens Healthineers Demonstrates Artificial Intelligence, Healthcare Digitalization at HIMSS19
News | Artificial Intelligence | February 13, 2019
February 13, 2019 — At the 2019 Healthcare Information and Management Systems Society (HIMSS) global conference and e
NVIDIA Explores Role of AI, Analytics and Virtualization in Healthcare at HIMSS19
News | Artificial Intelligence | February 13, 2019
Digital technology company NVIDIA will highlight its newest partnerships to advance the digital transformation of...
Survey Finds Personalized Patient Engagement Improving But Still Lacking
News | Patient Engagement | February 12, 2019
Software company Pegasystems Inc. announced new survey data revealing the positive impact of quality patient engagement...