RayStation 8B Released With Machine Learning Applications for Treatment Planning

first_img News | Artificial Intelligence | August 13, 2019 Artificial Intelligence Could Yield More Accurate Breast Cancer Diagnoses University of California Los Angeles (UCLA) researchers have developed an artificial intelligence (AI) system that… read more The MD Anderson Proton Therapy Center expansion is expected to be completed in 2023. Rendering courtesy of Stantec. Related Content News | Radiation Therapy | August 16, 2019 Drug Accelerates Blood System’s Recovery After Radiation, Chemotherapy A drug developed by UCLA physician-scientists and chemists speeds up the regeneration of mouse and human blood stem… read more 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 FacebookTwitterLinkedInPrint分享 Catalyst PT image courtesy of C-RAD News | Proton Therapy | August 08, 2019 MD Anderson to Expand Proton Therapy Center The University of Texas MD Anderson Cancer Center unveiled plans to expand its Proton Therapy Center during a… read more Following radiation, the bone marrow shows nearly complete loss of blood cells in mice (left). Mice treated with the PTP-sigma inhibitor displayed rapid recovery of blood cells (purple, right). Credit: UCLA Broad Stem Cell Research Center/Nature Communications News | Patient Positioning Radiation Therapy | August 15, 2019 Mevion and C-RAD Release Integration for Improved Proton Therapy Treatment Quality Mevion Medical Systems and C-RAD announced the integration between the C-RAD Catalyst PT and the Mevion S250i proton… read more center_img News | Patient Positioning Radiation Therapy | August 07, 2019 Qfix kVue One Proton Couch Top Validated by Mevion Medical Systems Qfix and Mevion Medical Systems announced that a special version of the kVue One Proton couch top is now both validated… read more 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 News | Brachytherapy Systems | August 14, 2019 Efficacy of Isoray’s Cesium Blu Showcased in Recent Studies August 14, 2019 — Isoray announced a trio of studies recently reported at scientific meetings and published in medica read more News | Radiation Therapy | August 15, 2019 First Patient Enrolled in World’s Largest Brain Cancer Clinical Trial Henry Ford Cancer Institute is first-in-the-world to enroll a glioblastoma patient in the GBM AGILE Trial (Adaptive… read more News | Artificial Intelligence | August 08, 2019 Half of Hospital Decision Makers Plan to Invest in AI by 2021 August 8, 2019 — A recent study conducted by Olive AI explores how hospital leaders are responding to the imperative read more News | Proton Therapy | August 06, 2019 IBA Signs Contract to Install Proton Therapy Center in Kansas IBA (Ion Beam Applications S.A.) recently signed a contract and received the first payment for a Proteus One solution… read more News | CT Angiography (CTA) | August 06, 2019 Artificial Intelligence Improves Heart Attack Risk Assessment When used with a common heart scan, machine learning, a type of artificial intelligence (AI), does better than… read morelast_img

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