Abstract: Systems, methods, and computer-readable storage media providing techniques for probing in-vivo beam ranges directly using therapeutic beams for particle therapy treatment are disclosed. In an embodiment, a configuration is determined for one or more probing spots, each spot corresponding to a planned location within an interior region of a tumor volume where a dose of radiation is to be delivered. At least one therapeutic beam is provided to the tumor volume, and one or more images may be captured to provide an indication of the range/depth of the probing spots. Providing the probing spots to the interior of the tumor volume reduces the risk that the dose is provided to sensitive tissue (e.g., because even if the dose is delivered to a location other than the planned location, the dose is likely to remain contained within the tumor volume).

Abstract: A system for MRI-guided radiotherapy is disclosed herein. The system includes a radiotherapy apparatus in the form of a linear accelerator or heavy ion system, an MRI portion, and a patient platform. The linear accelerator portion includes a stand, a gantry coupled to the stand, and a treatment head. The gantry is configured to rotate about the stand. The treatment head is coupled to the gantry. The treatment head is configured to deliver a radiotherapy beam. A system for MRI-guided radiotherapy is disclosed herein. The system includes a radiotherapy portion and an MRI portion adjacent to the radiotherapy portion. The MRI portion includes a magnet configured to generate an inhomogeneous magnetic field.

Abstract: Methods, apparatuses, systems, and implementations for creating a patient-specific soft bolus for radiotherapy treatment are disclosed. 2D and/or 3D images of a desired radiotherapy treatment site may be acquired, such as the head, neck, skin, breast, anus, and/or vulva. A user may interact with one or more representations of the images via an interactive user interface such as a graphical user interface (GUI). The images may include target/avoidance structures and radiation beam arrangement. The user may interact with the images to create a visualization of a patient-specific bolus. The visualization and properties of the bolus may be modified as the user manipulates aspects of the image. Data corresponding to the bolus models may be used to create 3D printed negative molds of the bolus model using 3D printing technology. A soft patient-specific bolus may be cast using the 3D printed model.

Abstract: Methods, apparatuses, systems, and implementations for creating a patient-specific soft bolus for radiotherapy treatment are disclosed. 2D and/or 3D images of a desired radiotherapy treatment site may be acquired, such as the head, neck, skin, breast, anus, and/or vulva. A user may interact with one or more representations of the images via an interactive user interface such as a graphical user interface (GUI). The images may include target/avoidance structures and radiation beam arrangement. The user may interact with the images to create a visualization of a patient-specific bolus. The visualization and properties of the bolus may be modified as the user manipulates aspects of the image. Data corresponding to the bolus models may be used to create 3D printed negative molds of the bolus model using 3D printing technology. A soft patient-specific bolus may be cast using the 3D printed model.

Abstract: Systems, methods, and computer-readable storage media providing techniques for probing in-vivo beam ranges directly using therapeutic beams for particle therapy treatment are disclosed. In an embodiment, a configuration is determined for one or more probing spots, each spot corresponding to a planned location within an interior region of a tumor volume where a dose of radiation is to be delivered. At least one therapeutic beam is provided to the tumor volume, and one or more images may be captured to provide an indication of the range/depth of the probing spots. Providing the probing spots to the interior of the tumor volume reduces the risk that the dose is provided to sensitive tissue (e.g., because even if the dose is delivered to a location other than the planned location, the dose is likely to remain contained within the tumor volume).

Abstract: Systems, techniques, and processes are disclosed for implementing aperture-based optimization techniques. In one aspect, a method performed by an aperture-based radiation treatment system includes implementing a volumetric modulated arc therapy (VMAT) treatment plan by generating apertures at beam angles. Beam intensities of the generated apertures are determined, which can be used to control generation of a radiation dose in a radiation therapy.

Abstract: Systems, techniques, and processes are disclosed for implementing aperture-based optimization techniques. In one aspect, a method performed by an aperture-based radiation treatment system includes implementing a volumetric modulated arc therapy (VMAT) treatment plan by generating apertures at beam angles. Beam intensities of the generated apertures are determined, which can be used to control generation of a radiation dose in a radiation therapy.

Abstract: Techniques, apparatus and systems are disclosed for performing graphics processor unit (GPU)-based fast cone beam computed tomography (CBCT) reconstruction algorithm based on a small number of x-ray projections. In one aspect a graphics processor unit (GPU) implemented method of reconstructing a cone beam computed tomography (CBCT) image includes receiving, at the GPU, image data for CBCT reconstruction. The GPU uses an iterative process to minimize an energy functional component of the received image data. The energy functional component includes a data fidelity term and a data regularization term. The reconstructed CBCT image is generated based on the minimized energy functional component.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for computer tomography (CT) sorting based on internal anatomy of patients. CT scans of anatomical features of a human are obtained as pixels. From the scans, multiple respiratory features are determined. An optimal respiratory feature is selected and a respiratory signal is generated based on the multiple CT scans.