A system and method for generation and use of radiation outcome prediction (response & side effects) score for patients undergoing radiotherapy for various medical conditions wherein the score is a personalized score, provided by analyzing multiple parameters 5 including the tumor specific, patient specific, gene specific and treatment planning specific parameter(s), during and post therapy.

A method of generating a treatment plan for treating a patient with radiotherapy, the method includes obtaining a plurality of sample plans, which are generated by use of a knowledge base comprising historical treatment plans and patient data. The method also includes performing a multi-criteria optimization based on the plurality of sample plans to construct a Pareto frontier, where the plurality of sample plans are evaluated with at least two objectives measuring qualities of the plurality of sample plans such that treatment plans on the constructed Pareto frontier are Pareto optimal with respect to the objectives. The method further includes identifying a treatment plan by use of the constructed Pareto frontier.

A system for determining a treatment plan in active ion beam treatment, to minimize unwanted dose, while maintaining or improving target dose coverage, whereby a beam is split into at least two sub-beams and where each sub-beam has a range shifter of different settings.

In an embodiment, the present disclosure pertains to a method of determining optimal parameters for application of light from a light source to a tissue. In general, the method includes one or more of the following steps of: (1) utilizing an algorithm to generate results related to estimating light flow from the light source into the tissue; and (2) utilizing the results to determine optimal parameters for applying the light source to the tissue. In some embodiments, the method of the present disclosure further includes the step of: (3) applying the light source to the tissue using the optimal parameters; and (4) treating a condition associated with the tissue.

Methods and systems are disclosed for radiating a moving object. The method may comprise acquiring a plurality of indicators of the phase of a physiological cycle of a patient and a plurality of images of the patient that include a target. Each image may be taken at a different phase of the physiological cycle and may be registered to the phase at which the image was taken. The method may also include identifying the target in each of the plurality of images, calculating a dose of radiation required to treat the target, calculating the number, orientation, and dwell time of one or more radiation beams required to deliver the calculated required dose of radiation to the target, and calculating a position of each of the one or more radiation beams required to achieve the calculated orientation. Each position may be a function of the phase of the physiological cycle to which each of the plurality of images is registered.

A treatment device includes a pulsed particles accelerator and a processor for controlling the latter to deliver a treatment plan by deposition at HDR of charged particles into a flash volume (Vht) by PBS. To shorten the time for depositing a target dose (Dti) into the cells spanned by the flash spots (Si) of the flash volume (Vht), the flash spots are combined into k sets of n flash spots (Si). After depositing a j.sup.th pulse dose (Dij) into the cells spanned by a i.sup.th flash spot (Si) the beam commutes from the ith flash spot (Si) to a next (i+1)th flash spot according to a flash scanning subsequence to deposit a jth dose into the cells spanned by each of the subsequent flash spots of the flash scanning subsequence, until returning to the ith flash spot to deposit a (j+1)th dose (Di(j+1)), and so on When all the cells spanned by all the flash spots of a set have received their corresponding target dose, the beam moves to a next set of combined flash spots and repeats the foregoing pulse deposition steps.

A treatment planning system for generating a plan for treatment by radiation with charged particles beams applied by pencil beam scanning onto a target tissue comprising tumoral cells is provided. The treatment planning system performs a dose definition stage defining the doses to be deposited within the peripheral surface, a beam definition stage defining positions and dimensions of the beamlets of the PBS during the at least one high rate fraction, the beams definition stage including a dose rate definition stage comprising at least one high rate fraction, and a beamlets scanning sequence stage defining a scanning sequence of irradiation of the beamlets. The beamlets scanning sequence stage optimizes a time sequence of beamlets emission such that at the end of a fraction j, a dose is deposited onto at least a predefined fraction of each specific volume at a mean deposition rate superior or equal to a predefined value.

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

Thereto a method and a system for planning radiation therapy are provided, as well as an arrangement for radiation therapy planning and a computer program product for carrying out the method. For planning the radiation therapy, the following steps are performed. Patient data of a subject to be treated is received as well as image data of the subject to be treated. The image data comprises anatomical image data of one or more organs at risk associated with the functioning of the immune system. Next, the patient 122 data and the image data are processed to obtain a risk score for the one or more organs at risk associated with the functioning of the immune system. The risk score is indicative of the risk of hematologic toxicity in the subject to be treated in response to the radiation therapy. Then the radiation therapy treatment is planned using the obtained risk score.

Methods and systems are described for determining quantities of interest for particle therapy. An example method can comprise determining one or more first functions indicative of spectral fluence associated with a particle therapy. The one or more first functions can be based on a plurality of simulations of a particle beam. The method can comprise determining, based on the one or more first functions and a second function associated with calculating a quantity, data indicative of the quantity. The method can comprise causing output of the data indicative of the quantity.