A dose planning system, which takes the drug concentration distribution in human organs/tissues as well as the atomic composition distribution of human organs/tissues into consideration, and calculates the neutron/photon dose distribution in human organs/tissues under this drug concentration distribution using the Monte Carlo Method. Thereby the neutron/photon dose distribution in the organs/tissues of the human subject is calculated more accurately.

A computer-implemented method for use in determining a radiation dose distribution in a medical volume, comprises: receiving a volumetric dataset representing the medical volume; performing a selection process of a rendering process for generating a visualization of the volumetric dataset to select at least one sample point in the volumetric dataset on which to perform a radiation determination process; and performing, for the at least one sample point in the volumetric dataset, the radiation dose determination process to determine a radiation dose at the at least one sample point. The method may also include visualizing the volumetric dataset and/or the radiation dose distribution.

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 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.

A radioactive ray radiation system includes a beam radiation apparatus, a treatment planning module, a control module, a preparation room and a radiation room. First and second stereoscopic vision apparatuses are respectively arranged in the preparation room and the radiation room. Simulated positioning is performed on a radiated subject in the preparation room according to the location of a radiated part determined in a treatment plan, and a first image of the radiated part collected by the first stereoscopic vision apparatus is compared with the treatment plan to determine a simulated positioning pose. Radiation positioning is performed on the radiated subject in the radiation room according to the determined simulated positioning pose, and a second image of the radiated part collected by the second stereoscopic vision apparatus is compared with the treatment plan to control the beam radiation apparatus to start performing radiation therapy on the radiated subject.

Systems and techniques may be used to estimate a patient state during a radiotherapy treatment. For example, a method may include generating a dictionary of expanded potential patient measurements and corresponding potential patient states using a preliminary motion model. The method may include training, using a machine learning technique, a correspondence motion model relating an input patient measurement to an output patient state using the dictionary. The method may include estimating, using a processor, the patient state corresponding to an input image using the correspondence motion model.

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.)

A dose rate-volume histogram can be generated for a target volume. The dose rate-volume histogram can be stored in computer system memory and used to generate a radiation treatment plan. The radiation treatment plan can be used as the basis for treating a patient using a radiation treatment system.

A method for constructing a photon source model function of a medical linear accelerator, for calculating the dose of rays in a radiation therapy scheme is disclosed. A source model of a therapeutic photon beam of the accelerator includes a primary ray photon source model and a scattered ray photon source model. Physical parameters in the two parts of source model functions include the position coordinates of an emission point of a particle, a projection value of a unit momentum vector in a three-dimensional orthogonal direction, and the energy of the particle. By utilizing the model functions, photon fluence information, energy spectrum information, and unit momentum direction information of photons on any phase space plane can be accurately calculated. The method and thought for constructing the source model are applicable to construction of source models of photon beams with various nominal energies of the accelerator used in a radiation therapy.

A process for analyzing elements and mass ratios of elements of a tissue includes approximating the tissue having unknown elements and mass ratios of the unknown elements thereof using the data of the medical image corresponding to a tissue having known elements and mass ratios of the known elements thereof. A method for establishing a geometric model based on a medical image includes: reading data of the medical image; defining a type of a tissue according to a conversion relationship between the data of the medical image and tissue types or according to the process; determining a quantity of tissue clusters of the tissue; defining a tissue density of the tissue by a conversion relationship between the data of the medical image and density values; establishing a 3D coding matrix with information about the tissue and the density; and generating the geometric model.