Summaries by Inventor Mutic, Sasa

Optimized Non-Coplanar Radiation Delivery for Simpler, Faster, and Safer Treatments
Mutic, Sasa ; Zhang, Tiezhi
T-016307

— 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…

Comfortable radiotherapy couch to improve precision and accuracy
Mutic, Sasa ; Zhao, Tianyu
T-018538

— 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…

Machine learning methods for real-time MRI image processing: MRI-only radiation treatment planning and improving MR image resolution
Green, Olga ; Mutic, Sasa ; Park, Chunjoo (Justin) ; Zhang, Hao
T-018522

— 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…

Radiation Oncology Dashboards (LATTICE)
Danieley, Jonathan ; LaBrash, Jason ; Mutic, Sasa ; Santanam, Lakshmi ; Scholle, Glen
T-014089

— Software management tool for clinic business manager & coordination tool. Collects information on patient flow, treatment plans, machine availability and personnel to optimize clinic operations.

Machine learning method for fast, reliable quality assurance of patient imaging in radiation therapy or computer-aided detection
Altman, Michael ; Green, Olga ; Kavanaugh, James ; Li, Hua ; Mutic, Sasa ; Wooten, Hasani
T-013577

— 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…

 

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