A61N5/1039

GENERATING SYNTHETIC ELECTRON DENSITY IMAGES FROM MAGNETIC RESONANCE IMAGES
20220225955 · 2022-07-21 ·

A conversion device (20) is operable to perform a learning-based method of generating a synthetic electron density image (sCT) of an anatomical portion based on one or more magnetic resonance, MR, images. The method is processing-efficient and capable of producing highly accurate sCT images irrespective of misalignment in the underlying training set. The conversion device (20) receives and installs a machine-learning model (22) trained to predict coefficients of an image transfer function (24). The conversion device (20) then receives a current set of MR images (MRI) of the anatomical portion, computes current coefficients ([C]) of the image transfer function (24) by operating the machine-learning model (22) on the current set of MR images (MRI), and computes a current sCT image of the anatomical portion by operating the current coefficients ([C]), in accordance with the image transfer function (24), on the current set of MR images (MRI).

RADIATION THERAPY SYSTEM USING A DIGITAL TOMOSYNTHESIS PROCESS FOR NEAR REAL-TIME LOCALIZATION

A method of radiation therapy comprises, while a gantry of a radiation therapy system rotates continuously in a first direction through a treatment arc from a first treatment delivery position to a second treatment delivery position, causing an imaging X-ray source mounted on the gantry to direct X-rays through a target volume and receiving a set of X-ray projection images from an X-ray imager mounted on the gantry; determining a current location of the target volume based on the set of X-ray projection images; and while the gantry to continues to rotate to the second treatment delivery position, initiating delivery of a treatment beam of a treatment-delivering X-ray source mounted on the gantry to the target volume, and continuing to cause the gantry to rotate in the first direction from the second treatment delivery position to a third treatment delivery position.

RADIATION THERAPY SYSTEM AND METHOD

The present disclosure is directed to a radiation therapy system. The radiation therapy system may comprise a magnetic resonance imaging (MRI) apparatus. The MRI apparatus may include a plurality of shielding magnetic coils, the plurality of shielding magnetic coils being arranged around an axis. The radiation therapy system may also comprise a radiation therapy apparatus, which includes a linear accelerator configured to accelerate electrons to produce a radiation beam, the linear accelerator being located between two neighboring shielding coils of the plurality of shielding coils, and a length direction of the linear accelerator being parallel with the axis. The radiation therapy apparatus may also include a deflection magnet configured to deflect the electrons emitted from the linear accelerator by a deflection angle in a first portion of a moving trajectory, the first portion of the moving trajectory being on a plane intersecting with a radial plane of the MRI apparatus.

Method and Apparatus to Facilitate Administering Therapeutic Radiation to a Patient
20210387017 · 2021-12-16 ·

A control circuit accesses patient image content as well as field geometry information regarding a particular radiation treatment platform. The control circuit then generates a predicted three-dimensional dose map for the radiation treatment plan as a function of both the patient image content and the field geometry information.

Method and Apparatus to Facilitate Administering Therapeutic Radiation to a Patient
20210387018 · 2021-12-16 ·

A control circuit access information corresponding to patient geometry information for a particular patient. The control circuit then provides that information, along with at least one variable that is unrelated to that particular patient, as input to a field geometry generator. The field geometry generator can comprise a neural network trained in a conditional generative adversarial networks (GAN) framework as a function of previously-developed field geometry solutions for a plurality of different patients. In such a case the information corresponding to the patient geometry information for the particular patient can serve as conditional input to the neural network. So configured, the control circuit can then process the foregoing input using the field geometry generator to thereby generate the therapeutic radiation delivery field geometry for the particular patient.

RESEARCH AND DEVELOPMENT OF AUGMENTED REALITY IN RADIOTHERAPY
20210379406 · 2021-12-09 ·

A method is provided of producing an optical filter. The method comprises depositing a first mirror layer onto a substrate; depositing an insulating layer on the first mirror; exposing at least some of a plurality of portions of a surface of the insulating layer to a dose of energy; developing the insulating layer in order to remove a volume from the at least some of the plurality of portions of the insulating layer, wherein the volume of the insulating layer removed from each portion. is related to the dose of energy exposed to each portion, and wherein a remaining thickness after the removal of the volume from each portion of the insulating layer is related to the dose of energy exposed to each portion. The method further comprising depositing a second mirror layer on the remaining thickness of each of the plurality of portions of the insulating layer.

Radiotherapy feedback device
11195608 · 2021-12-07 · ·

A radiotherapy feedback device is provided which provides one of a plurality of indication signals for presentation to a surgeon based on the status of a current surgical procedure. In some aspects, an indication signal is provided to the surgeon if the surgical procedure on an anatomical structure is of sufficient status so as to respond well to subsequent radiotherapy.

RADIATION THERAPY APPARATUS AND CONTROL METHOD OF RADIATION THERAPY APPARATUS

A radiation therapy apparatus that enhances the reliability and ease of use of a treatment is provided. A radiation therapy apparatus includes: a treatment bed moving a top plate with an object to be treated Pt placed on the top plate to a predetermined treatment location; an imaging apparatus moving to the predetermined treatment location from a direction different from the direction of movement of the top plate and picking up an image of the object to be treated; and an irradiation apparatus provided between the treatment bed and the imaging apparatus, extensible, and applying a radioactive ray to the object to be treated. When the CT apparatus moves to the treatment location, the irradiation apparatus moves to a predetermined waiting position P1. When applying a radioactive ray to an object to be treated, the irradiation apparatus moves to a predetermined irradiation position P3.

RIGID PHANTOM FOR END-TO-END VERIFICATION OF ADAPTIVE RADIOTHERAPY SYSTEMS
20210370100 · 2021-12-02 ·

Systems and methods associated with a phantom assembly are provided. A housing includes a plurality of slots and is formed from a first material having a first appearance under a selected imaging modality. A plurality of inserts are each configured to be received by one of the plurality of slots. At least one insert includes a target formed from a second material having a second appearance under the selected imaging modality, such that the target is readily distinguishable from the housing under the selected imaging modality. The target includes a hollow portion that can be accessed via a removable plug.

PLANNING APPARATUS FOR PLANNING A RADIATION THERAPY

The invention relates to a planning apparatus for planning a radiation therapy. A medical image, in which a target to be irradiated is indicated, is reformatted based on ray geometries to be used during the radiation therapy to be planned, resulting in several reformatted medical images. Radiation therapy parameters being indicative of intensities of rays 5 to be used for irradiating a target 4 are determined based on the reformatted medical images by using a neural network unit. This allows to determine high quality radiation therapy parameters and hence allows for an improved planning of a radiation therapy. In particular, radiation and absorptions physics can be captured better, which can lead to the improved quality.