by | Aug 2, 2023 | Mutic, Sasa, Zhang, Tiezhi
— Existing LINACs inefficiently deliver non-coplanar beams
The goal of radiation treatment is to precisely deliver a prescribed radiation dose to the targeted tissue, while avoiding dosing the surrounding normal tissues and organs. These treatments require radiation beams to be delivered from multipl…
by | Feb 27, 2020 | Green, Olga, Mutic, Sasa, Park, Chunjoo (Justin), Zhang, Hao
— Technology Description
A team of researchers at Washington University School of Medicine developed deep learning image processing techniques to improve MRI diagnostics and potentially enable faster, more precise MRI-guided radiation therapy without exposing patients to radiation from CT imaging. S…
by | Nov 18, 2019 | Altman, Michael, Green, Olga, Kavanaugh, James, Li, Hua, Mutic, Sasa, Wooten, Hasani
— Technology Description
A team of researchers at Washington University has created a machine learning method to quickly and reliably validate patient contours in digital medical images for radiation therapy and computer aided image analysis.
Currently, automated contouring tools for delineating tu…
by | Oct 22, 2019 | Mutic, Sasa, Zhao, Tianyu
— Background: High precision and accuracy is critically needed for the use of radiation treatment and diagnostic imaging (magnetic resonance imaging, computerized tomography, X-ray, positron emission tomography); each of these modalities uses the standard flat couch to manipulate the patient during pr…
by | Mar 10, 2018 | Danieley, Jonathan, LaBrash, Jason, Mutic, Sasa, Santanam, Lakshmi, Scholle, Glen
— Software management tool for clinic business manager & coordination tool. Collects information on patient flow, treatment plans, machine availability and personnel to optimize clinic operations.