Develops Optimal Algorithm to Maximize Motor Unit Efficiency
This improvement in radiation therapy optimizes therapy time. Radiation therapy is an integral part of treatment for many types of cancer, and more than one million patients are treated in the United States annually. Nearly two-thirds of all cancer patients will receive radiation therapy during their illness, according to the American Society for Therapeutic Radiology and Oncology. An optimization of radiation therapy time can decrease the amount of radiation a patient’s unaffected tissue is exposed to, and also provide physicians with an opportunity to treat more patients in a day.
An algorithm designed to reduce radiation therapy time and dosage
- Advanced algorithm improves existing therapy techniques, eliminating the need to invest in another radiation therapy
- Reduces surrounding tissue exposure to radiation, decreasing risk of side effects such as nausea, hair loss and fatigue
- Reduces amount of radiation therapy and/or number of visits, saving valuable time for both physicians and patients
- 10 to 20 percent reduction in total monitor unit (MU), providing a significant reduction in energy expenditure
Dynamic multileaf collimator intensity modulated radiation therapy is used to deliver intensity modulated beams on a collimator with the multiple leaves in motion. Research has shown that optimal leaf sequencing based on unidirectional movement of the collimator leaves is as MU efficient as bidirectional movement of these leaves. Efficient algorithms for segmental collimator beam delivery that completely eliminates areas of under dosages due to practical tongue-and-groove effects between adjacent leafs have also been developed. These methods result in 10% to 20% decrease in total MU as compared to field splitting techniques used in commercial planning systems. It also allows for the scheduling of the leaves of a multi-leaf collimator in order to optimize radiation therapy time, and minimize damage to surrounding healthy tissue.