Siemens Healthineers International Ag

Varian Medical Systems, Inc.

Varian Medical Systems Particle Therapy Gmbh & Co Kg

Varian Medical Systems International Ag

Pierre Lansonneur

Michael Matthew Folkerts

Matti Ropo

Viljo Petaja

Michiko Rossi

Perttu Niemela

Jessica Perez

Eric Abel

Anthony Magliari

Christel Smith

Timo K Koponen

Lauri Halko

Isabel Huth

Adam Scott Harrington

Sylvie Spiessens

Petri Hirvonen

Simon Busold

Miriam Krieger

Tina Pfeiler

Daren Sawkey

Tatu Heikki Leinonen

For planning radiation treatment, candidate radiation treatment plans are evaluated and optimized using an objective function that includes a combination of a first objective function and a second objective function. The first objective function is configured for determining a value of a dose metric. The second objective function is configured for determining a value of a term that is added to the value of the dose metric to account for spots or beam lets that have a weight that is greater than zero and less than a minimum threshold value. The value of the term is added to the value of the dose metric. In effect, spots or beam lets with a weight that is not zero and that is also less than a minimum threshold value are penalized during treatment planning.

Monitor unit optimization constraint in radiation treatment planning

A method of planning radiation treatment for a patient includes identifying a region of interest of the patient to be treated with radiation and determining a simulated treatment plan for the region of interest based on a statistical analysis between one or more metrics of the identified region of interest and a previously determined predictive dynamics database that includes information regarding the one or more metrics for corresponding regions of interest for a population of patients. The method further includes characterizing the simulated treatment plan with a FLASH Index that compares an ideal FLASH radiation treatment plan to the simulated treatment plan.

High dose rate radiotherapy treatment planning, system and method

Dose analysis radiotherapy systems and methods for determine delivered radiotherapy dose, dose rate, irradiation time and position information and planned radiotherapy dose, dose rate, irradiation time and position information. The dose analysis systems and methods further compare the as delivered dose, dose rate, irradiation time and position information to the planned dose, dose rate, irradiation time and position information to generate a graphical representation of one or more of the delivered dose, dose rate, irradiation time and position information versus planned dose, dose rate, irradiation time and position information.

Radiotherapy dose analysis methods and systems

A computer implemented method of developing a radiation treatment plan comprising spot scanning of a treatment target comprising accessing information associated with a patient and information pertaining to a radiation delivery machine. The method further comprises determining an area associated with the treatment target, wherein the area comprises a plurality of spots and computing a weighting for each spot of the plurality of spots, wherein the weighting is associated with a number of protons delivered at a respective spot. Further, the method comprises computing timing related parameters based on information retrieved from the radiation delivery machine and determining a transition dose delivered by the radiation delivery machine during the transition from one spot to another spot when irradiating the treatment target.

Dose smearing effect modeling for radiation treatment plan

Computer-implemented methods for planning radiation treatment are used to identify, for a given isocenter and given beam energy, beam delivery angles where beam fields satisfy a criterion for transmission fields (fields with a Bragg peak that is significantly or entirely outside of a patient's body). Those beam angles can be determined and evaluated before dose calculations are performed. Treatment planning can be performed using selected, satisfactory beam angles.

Methods and systems used for planning radiation treatment

A method used for planning radiation treatment accessing information that includes calculated doses and calculated dose rates for sub-volumes in a treatment target, and also accessing information that includes values of a measure of the sub-volumes as a function of the calculated doses and the calculated dose rates. A graphical user interface includes a rendering that is based on the calculated doses, the calculated doses rates, and the values of the measure.

Correlation of dose and dose rate information to volume for radiation treatment planning

A crystalline structure modeling methodology that is conventionally used to model crystalline matter down to the atomic level is instead used to determine spot placement for radiation treatment. The cross-sectional shape of a treatment target is specified; locations (peaks) in a density field inside the shape are determined using the crystalline structure model; locations of spots in the treatment target for spot scanning are determined, where the locations correspond to the locations (peaks) inside the shape determined using the crystalline structure model; and the locations of the spots are stored as candidates for potential inclusion in a radiation treatment plan.

Methods and systems using modeling of crystalline materials for spot placement for radiation therapy

Information associated with a radiation treatment plan includes, for example, values of dose per voxel in a target volume, values of dose rate per voxel in the target volume, and values of parameters used when generating the values of dose per voxel and the values of dose rate per voxel. Renderings that include, for example, a rendering of an image of or including the target volume, and a rendering of selected values of the radiation treatment plan, are displayed. When a selection of a region of one of the renderings is received, a displayed characteristic of another one of the renderings is changed based on the selection.

Assessing treatment parameters for radiation treatment planning

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Helsinki, Finland

Pierre Lansonneur