A control method for positioning is provided, which is applicable to a radiotherapy system. The method includes: acquiring a plurality of first body surface coordinates of a target site in a three-dimensional body surface image of a treatment object on a treatment couch; acquiring a plurality of second body surface coordinates under an isocentric coordinate system by transforming the first body surface coordinates using a target transformation matrix corresponding to the first placement position; determining, based on the plurality of second body surface coordinates and a contour image of the target site in the treatment plan, a placement offset of the target site, so as to control the treatment couch to move until the placement offset of the target site upon the movement meets a target offset requirement.

The disclosure provides a phantom and method for quality assurance of a hadron therapy apparatus used in the intensity modulated particle therapy mode. The phantom comprises a frame structure comprising a base plate, one or more energy wedges, an energy wedge first face inclined with respect to said base plate and an energy wedge second face perpendicular to said base plate, said one or more energy wedges being mounted on said base plate, a 2D detector; said one or more wedges, and 2D detector being in known fixed positions in relation to said frame structure. Said phantom comprises in addition a Spread-Out Bragg Peak wedge, said SOBP wedge having an SOBP wedge first face inclined with respect to said base plate, and a SOBP wedge second face, perpendicular to said base plate, said SOBP wedge being made of a material having a relative density higher than 1.3 preferably 1.5, more preferably 1.7, the distance between the SOBP wedge first face and SOBP second face varying between the penetration depth of a beam having an energy between the high and low limit energy of the beam of said hadron therapy apparatus. The disclosure also provides a method for determining the compliance of the planned SOBP with the actual SOBP.

A lung phantom unit for radiotherapy according to an embodiment of the present disclosure may arrange, at a location not affected by a magnetic field, a phantom driving cylinder and a driving device which may move a lung mimic and a tumor mimic in a lung simulation block. The lung phantom unit may be used for general purpose even as a phantom for MRI-based and CT image-based radiotherapy. Since lung and tumor motions are implemented by air injection, it may be possible to precisely measure the motion and volume change of a lung according to subtle changes in air pressure so that customized radiotherapy suitable for a patient having various breathing patterns is possible.

Disclosed is a bore based medical system comprising a camera carrier configured to be mounted in the bore based medical system and configured to monitor and/or track patient motion within said bore based medical system during radiotherapy, the bore based medical system comprising a rotatable ring-gantry configured to emit a radiotherapy beam focused at an iso-center of the bore based medical system, wherein the ring-gantry is configured to rotate at least partly around a through-going bore having a front side and a back side, configured to receive from said front side, a movable couch configured to be moved into and out from the through-going bore, wherein further the through-going bore comprises an inner side facing an inside of the bore, and wherein the camera carrier is configured to be mounted inside the bore in connection with the inner side of the through-going bore.

Systems, methods, and computer software are disclosed for acquiring images during delivery of a radiation beam, the images capturing at least a portion of a shape representative of a radiation field generated by a radiation delivery system that includes a radiation source configured to deliver the radiation beam.

Systems and methods for determining beam asymmetry in a radiation treatment system using electronic portal imaging devices (EPIDs) without implementation of elaborate and complex EPID calibration procedures. The beam asymmetry is determined based on radiation scattered from different points in the radiation beam and measured with the same region of interest ROI of the EPID.

These teachings facilitate the administration of therapeutic radiation to a heterogeneous patient volume using a radiation beam source. More particularly, these teachings provide for determining a cross-sectional size of a radiation beam as corresponds to that radiation beam source and also for determining density information corresponding to the aforementioned heterogeneous body. These teachings then provide for generating a three-dimensional radiation dose calculation for the heterogeneous body using a control circuit configured as a convolution/superposition based dose calculator using a three-dimensional energy-spreading kernel. By one approach, these teachings provide for the calculator scaling total energy released per mass as a function of the cross-sectional size and energy of the radiation beam and the aforementioned density information.

A system for adjusting radiation target sites dynamically according to the moving states of a target object and for creating a lookup table of the moving states includes a detection chip, a radiation generation device, and a lookup table. The detection chip can be fixed on the target object to detect the current moving state of the target object. The detection chip or the radiation generation device, both configured for wireless signal transmission to each other, can activate or deactivate the radiation emitters of the radiation generation device individually according to the current moving state of the target object and the contents of the lookup table. As the system uses wireless transmission, and the lookup table has recorded the working state of each radiation emitter in each moving state of the target object, radiotherapy can be performed without a large number of tubes or sensors.

Provided is a simulation phantom including a simulated target volume and a simulated normal tissue encasing the simulated target volume, wherein the simulated target volume and a portion of the simulated normal tissue abutting the simulated target volume have a first characteristic to enable the simulation phantom to be imaged on a first imaging device, and the simulated target volume and the portion of the simulated normal tissue abutting the simulated target volume further have a second characteristic to enable the simulation phantom to be imaged on a second imaging device different from the first imaging device.

An improved x-ray cone-beam CT image reconstruction by end-to-end training of a multi-layered neural network is proposed, which employs cone-beam CT images of many patients as input training data, and precalculated scattering projection images of the same patients as output training data. After the training is completed, scattering projection images for a new patient are estimated by inputting a cone-beam CT image of the new patient into the trained multi-layered neural network. Subsequently, scatter-free projection images for the new patient are obtained by subtracting the estimated scattering projection images from measured projection images, beam angle by beam angle. A scatter-free cone-beam CT image is reconstructed from the scatter-free projection images.