Siemens Healthineers International Ag

Varian Medical Systems, Inc.

Varian Medical Systems International Ag

Varian Medical Systems Particle Therapy Gmbh & Co Kg

Viljo Petaja

Janne Iimari Nord

Michiko Rossi

Pierre Lansonneur

Esa Kuusela

Jarkko Yriana Peltola

Eric Abel

Juha Kauppinen

Timo K Koponen

Christel Smith

Anthony Magliari

Santtu Ollila

Perttu Niemela

Michael Matthew Folkerts

Lauri Halko

Reynald Vanderstraeten

Mikko Vainio

Matti Ropo

Jessica Perez

Marko Rusanen

Christopher Boylan

Isabel Huth

Sami P Siljamaki

Tuomas Erik Torsti

Adam Scott Harrington

Ari Harju

Petri Hirvonen

Simon Busold

Tina Pfeiler

Timo Ikonen

Antti Karjalainen

Petri Kokkonen

Petri Hiltunen

Marko T Rusanen

Perttu Niemelae

Tuomas E Torsti

Presented systems and methods enable efficient and effective robust radiation treatment planning and treatment, including analysis of dose rate robustness. In one embodiment, a method comprising accessing treatment plan information, accessing information corresponding to an uncertainty associated with implementation of the radiation treatment plan, and generating a histogram, wherein the histogram conveys a characteristic of the treatment plan including an impact of the uncertainty on the characteristic. The histogram can be a dose rate volume histogram and can be utilized to test a degree of robustness of a treatment plan (e.g., including allowance for uncertainty scenarios, etc.). The uncertainty can be associated with potential variation associated with tolerances (e.g., radiation system/machine performance tolerance, patient characteristic tolerances, etc.) and set up issues (e.g., variation in initial system/machine set up, variation patient setup/position, etc.).

Analysis of dose rate robustness against uncertainties in radiation treatment planning

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

A method of calculating radiation dose includes dosimetric projection of a collimator geometry. The method includes defining a three-dimensional (3D) geometry of a collimating device which defines an aperture configured to allow a radiation beam passing through, projecting the collimating device along the radiation beam into a two-dimensional (2D) geometry in a plane, calculating dosimetric opacity values of the collimating device at locations adjacent to the aperture based on the 3D geometry of the collimating device, and calculating transport of the radiation beam through the collimating device based on the 2D geometry projected in the plane and using the dosimetric opacity values of the collimating device at the locations adjacent to the aperture.

Dosimetric projection of collimator geometry

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Espoo, Finland

Viljo Petaja