A method enables testing and evaluation of an expert human reviewer or an artificial intelligence (AI) error detection engine associated with a radiotherapy treatment planning process. Intentional errors are introduced into the output of a software module or AI engine that performs a certain step in the radiotherapy treatment planning process. The efficacy of the human or AI reviewer in detecting errors can then be evaluated or tested by determining whether the human or AI reviewer has detected the introduced error.

The present disclosure relates to systems and methods for reconstructing fluence map. The system may obtain a plurality of radiation tasks based on a radiotherapy plan. Each of the plurality of radiation tasks may include a radiation field corresponding to the radiation task. For each of the plurality of radiation tasks, the system may determine whether a shape change between a radiation field corresponding to the radiation task and a radiation field corresponding to a preceding radiation task exceeds a shape change threshold. The system may determine a fluence map corresponding to the radiation task based on a first determination result of whether the shape change between the radiation field corresponding to the radiation task and the radiation field corresponding to the preceding radiation task exceeds the shape change threshold.

Various embodiments are described herein of radiation systems and methods for monitoring radiation dose are provided monitoring an amount of radiation in a radiation beam generated by a radiation source for a radiation treatment session, where a radiation sensor is used to provide an actual radiation measurement and an Artificial Neural Network (ANN) engine is used to generate a predicted radiation measurement based on a plurality of feature values for features including radiation field segments from the radiation treatment plan data for the radiation treatment session. The difference between the actual radiation measurement and the predicted radiation measurement is used to determine whether the radiation system is operating in a predetermined safe operation range.

An apparatus includes a solution including a metallic compound, a surfactant, and an acid. The solution is substantially colorless. A container holds the solution. A radiated solution is formed when the solution receives a low dose of ionizing radiation

A radiation system is provided. The radiation system may include a bore accommodating an object, a rotary ring, a first radiation source and a second radiation source mounted on the rotary ring and a processor. The first radiation source may be configured to emit a first cone beam toward a first region of the object. The second radiation source may be configured to emit a second beam toward a second region of the object, the second region including at least a part of the first region. The processor may be configured to obtain a treatment plan of the object, the treatment plan including parameters associated with radiation segments. The processor may be further configured to control an emission of the first cone beam and/or the second beam based on the parameters associated with the radiation segments to perform a treatment and a 3-D imaging simultaneously.

An ion chamber has a chamber having an interior volume. There is a first electrode and a second electrode in the chamber and separated by a gap. A collector electrode is positioned between the first electrode and the second electrode. The collector electrode is shaped to occlude a portion of the first electrode from the second electrode.

A method includes positioning a patient at a first orientation relative to a radiation source. The method further includes using a 3D imaging technique to measure one or more positions of the patient's chest. The method further includes, while using the 3D imaging technique to measure the one or more positions of the patient's chest: generating a model of the patient's chest using the one or more positions of the patient's chest; updating the model of the patient's chest as the patient breathes; and exposing the patient to a dose of radiation using the radiation source, wherein the dose is based on the model of the patient's chest.

Devices, systems, and methods for planning radiosurgical treatments for neuromodulating a portion of the renovascular system may be used to plan radiosurgical neuromodulation treatments for conditions or disease associated with elevated central sympathetic drive. The renal nerves may be located and targeted at the level of the ganglion and/or at postganglionic positions, as well as preganglionic positions. Target regions include the renal plexus, celiac ganglion, the superior mesenteric ganglion, the aorticorenal ganglion and the aortic plexus. Planning of radiosurgical treatments will optionally employ a graphical representation of a blood/tissue interface adjacent these targets.

In accordance with a method for dose estimation for the irradiation of an object, a model with a total number of spatial elements is provided on a memory element. For each spatial element, the model specifies a material composition of the object. A neighborhood material composition is determined for a neighborhood of spatial elements depending on the model by a computing unit. A radiation dose for the neighborhood with regard to an ionizing radiation is determined with aid of a simulation depending on the neighborhood material composition. A dose distribution for the object with regard to the ionizing radiation is determined based on the radiation dose for the neighborhood.

A computer-implemented method evaluates a protocol for radiation therapy for a target volume of a patient. The method uses a computer system executing software instructions establishing computer processes. The computer processes receiving and storing data defining the protocol and characterizing the target volume. The computer processes parse the data to extract parameters characterizing the protocol. The computer processes apply the extracted parameters and the target volume to a model that represents relationships among sub-processes and variables pertinent to execution of the protocol in a patient. The computer processes obtain from the model an evaluation of the protocol and providing the evaluation as an output.