Abstract: A method of a radiotherapy or radiosurgery treatment comprises steps of: (a) providing a converging x-ray beam source configured for emitting a converging X-ray beam propagating along an axis thereof; (b) emitting the converging x-ray beam towards a volume of treatment (VOT) having a length along the axis of the converging X-ray beam ranging between 2 mm and 5 cm within a patient's body such that a waist portion is within the VOT; (c) propagating the beam through tissues previously located relative to the VOT (PO); the VOT per se and tissues distally located to the VOT (DO). The converging X-ray beam characterized by a convergent angle ranging between 2 and 30 degrees providing 80% to 100% of a maximum dose is received by the VOT and less than 60% of the maximum dose is received by the PO and the DO.

Abstract: The present relates to a positioning and shaping shell manufacturing method for manufacturing a positioning and shaping shell comprising a positioning step consisting in positioning and supporting a target body portion with a transparent body shaper in a predetermined position on a positioning board presenting at least one transparent portion permitting scanning through it, an image acquisition step consisting in a target body portion surface scan imaging also via the transparent portion of the board and said transparent body support, a software computing step where the acquired image data are sent and processed in a processing unit, and a producing step consisting in producing a 3D positioning and shaping shell model via additive or subtractive manufacturing method based in the processed image data.

Abstract: An example method for a radiation therapy system that includes a movable couch to perform radiation therapy has been disclosed. One method includes based on the X-ray images of an anatomical region of the patient that includes a target volume, reconstructing a digital volume of the anatomical region and based on a user input indicating a location of a patient origin in the digital volume, determining one or more shift values for repositioning the patient origin at an isocenter of the radiation therapy system with respect to a coordinate system. The method also includes obtaining a treatment plan that is based on the location of the patient origin and is associated with the target volume, based on the treatment plan, repositioning the movable couch so that the patient origin is disposed at the isocenter, and while the patient origin is disposed at the isocenter, directing a treatment beam to the patient origin in accordance with the treatment plan associated with the target volume.

Abstract: Respective target positions, into which elements of a radiation therapy machine are to be moved (e.g., prior to beginning treatment of a patient), are determined. A candidate path, which describes movements of the elements from respective initial positions to the respective target positions, is defined and accessed. The candidate path is evaluated to determine whether it would result in a collision between any of the elements. The candidate path is included in a set of candidate paths when the candidate path does not result in a collision between any of the elements. A value of a measure (e.g., a measure of efficiency), used for ranking each candidate path in the set of candidate paths, is determined. A path is selected from the set of candidate paths based on the ranking.

Abstract: A radiation treatment planning apparatus according to one aspect includes a processing circuitry. The processing circuitry obtains time-series medical images. The processing circuitry specifies a first time phase in which radiation irradiation is performed and a second time phase in which no radiation irradiation is performed, in a period corresponding to the time-series medical images based on a positional relationship between a treatment target region and at-risk region of a patient included in the time-series medical images. The processing circuitry generates a treatment plan based on a medical image of the specified first time phase.

Abstract: After accessing optimization information for a particular patient and for a particular radiation treatment platform, a control circuit generates an optimized radiation treatment plan by processing the optimization information using direct-aperture-optimization that includes fluence-based sub-optimization. By one approach, the control circuit includes the fluence-based sub-optimization in at least some, but not necessarily all, iterations of the direct-aperture-optimization. By one approach, the control circuit is configured to include only a few iterations of the fluence-based sub-optimization when including the fluence-based sub-optimization in at least some, but not necessarily all, iterations of the direct-aperture-optimization.

Abstract: Disclosed herein are radiotherapy methods and systems that can display a workflow-oriented graphical user interface(s). In an embodiment, a method comprises presenting, by the server for display on a screen associated with a radiotherapy machine, a series of consecutive graphical user interfaces, wherein each graphical user interface displays one or more graphical components corresponding to one or more tasks of one or more stages of a patient's radiotherapy treatment; and when a user operating the pendant interacts with a first controller of the pendant, the radiotherapy machine adjusts at least one of its configurations; and when the user interacts with a second controller of the pendant, the server revises the graphical user interface corresponding to the user's input.

Abstract: Systems and methods for improved radiation treatment planning can employ hierarchical constrained optimization with relaxed constraints also referred to herein after as expedited hierarchical constrained optimization (ECHO). The systems and methods described herein employ a combination of constrained optimization and a correction loop involving unconstrained optimization to enhance the speed and efficiency of the radiation treatment planning process and improve the accuracy and quality of resulting radiation treatment plans. The use of a hierarchical constrained optimization approach leads to less complex and faster to solve optimization problems. The correction loop allows for compensating for optimization error associated with the sequence of constrained optimizations by incorporating such error in an unconstrained optimization. Hard and soft dose volume constraints can be efficiently incorporated.

Abstract: One or more example embodiments of the present invention relates to a fin for collimating therapeutic radiation. The fin comprises a collimation area made of a first material and a holding area made of a second material. Herein, the collimation area and the holding area are soldered together. Herein, the first material is formed to collimate therapeutic radiation. Herein, the holding area can be coupled to an adjustment device for adjusting the fin.

Abstract: 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 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. When applying a radioactive ray to an object to be treated, the irradiation apparatus moves to a predetermined irradiation position.

Abstract: 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.).

Abstract: A treatment planning system that generates treatment planning for irradiating a target with a particle beam, includes an arithmetic processing device that sets at least two or more irradiation patterns for one treatment planning, calculates a plurality of predicted dose distributions for each irradiation pattern based on a target dose set for each region for at least one region including a region of the target, and calculates an index for evaluating validity of the irradiation pattern based on the plurality of predicted dose distributions.

Abstract: Systems and method for automatically generating structures, such as target volumes, in a treatment image using structure-guided deformation to propagate the structures from a planning image onto the subsequently acquired treatment image.

Abstract: A memory has a fluence map that corresponds to a particular patient stored therein. This memory also has at least one deep learning model stored therein trained to deduce a leaf sequence for a multi-leaf collimator from a fluence map. A control circuit operably coupled to that memory iteratively optimizes a radiation treatment plan to administer therapeutic radiation to that patient by, at least in part, generating a leaf sequence as a function of the at least one deep learning model and the fluence map that corresponds to the patient.

Abstract: A control circuit generates an optimized radiation treatment plan with respect to an adjustable collimation device and then automatically generates at least one quality assurance accuracy value corresponding to the optimized radiation treatment plan. By one approach, the aforementioned plan comprises a plurality of treatment fields. In such a case, automatically generating at least one quality assurance accuracy value can comprise, at least in part, automatically generating at least one quality assurance accuracy value for each of at least a substantial number (or all) of those treatment fields. By one approach, the aforementioned quality assurance accuracy value comprises a dimensionless metric. This dimensionless metric may represent, for example, dosimetric accuracy corresponding to the optimized radiation treatment plan.

Abstract: A medical image processing device includes a region-of-interest acquirer, a treatment plan acquirer, a degree-of-influence calculator, and a display controller. The region-of-interest acquirer is configured to acquire a partial region within a body of a patient as a region of interest. The treatment plan acquirer is configured to acquire treatment plan information determined in a planning stage of radiation treatment to be performed on the patient. The degree-of-influence calculator is configured to calculate a degree of influence representing an influence on the region of interest up to a range until radiation with which the patient is irradiated reaches a target portion to be treated within the body of the patient. The display controller is configured to generate a display image in which information regarding the degree of influence is superimposed on a current fluoroscopic image of the patient and causes a display to display the display image.

Abstract: The present invention is concerned with a method and system for guiding a radiation therapy system. The method comprises: capturing an image of a target area to which radiation is to be delivered; analysing the image with a trained convolutional neural network to determine the position of one or more objects of interest present in the target area; and outputting the determined position/s to the radiation therapy system.

Abstract: A method for controlled tumoricidal radiation dose delivery is disclosed. The method includes obtaining an image of a body organ; diving the image into a plurality of voxels; determining a set of feasible actions for the body organ by identifying an upper bound and a lower bound for the body organ; determining a utility function for the body organ; determining a disagreement point by identifying an ideal fluency map and a worst fluency map; determining a negotiation power weight based on a type of the body organ; and optimizing the plurality of radiation dose levels to the plurality of voxels based on the set of feasible actions, the utility function, the disagreement point, and the negotiation power weight. Other aspects, embodiments, and features are also claimed and described.

Abstract: A method comprises presenting, by a server for display on a screen associated with a radiotherapy machine, a series of consecutive graphical user interfaces (GUIs), wherein a first GUI comprises: a first graphical indicator (GI) corresponding to a first attribute associated with configuration of the radiotherapy machine, and a second GI corresponding to a second attribute associated with the patient; when the server receives an indication that a user interacting with a pendant in communication with the server has inputted a first input corresponding to a first direction towards the first GI, presenting for display a second GUI comprising data associated with the first attribute; and when the server receives an indication that the user has inputted a second input corresponding to a second direction towards the second GI, presenting for display a third GUI comprising data associated with the second attribute.

Abstract: Disclosed herein are methods and systems to optimize a radiation therapy treatment plan using dose distribution values predicted via a trained artificial intelligence model. A server trains the AI model using a training dataset comprising data associated with a plurality of previously implemented radiation therapy treatments on a plurality of previous patients and dose distributions associated with one or more organs of each previous patient. The server then executes the trained AI model to predict dose distribution for a patient. The server then displays a heat map illustrating the predicted values, transmits the predicted values to a plan optimizer to generate an optimized treatment plan for the patient, and/or transmits an alert when a treatment plan generated by a plan optimizer deviates from rules and thresholds indicated within the patient's plan objectives.

Abstract: Automatic radiation therapy treatment planning for generating a plan to be delivered from at least one beam angle, using a collimator having a variable collimator angle. Delivery times are determined for a number of possible collimator angles, and the optimization problem is defined to take the delivery times into account when selecting the collimator angles to be used when delivering the radiation.

Abstract: Systems, devices, and methods for imaging-based calibration of radiation treatment couch position compensations.

Abstract: Techniques for patient positioning quality assurance prior to mammographic image acquisition are described. A system may include an x-ray source configured to expose human tissue to radiation. An x-ray detector module may be configured to detect the radiation and generate a pre-diagnostic image of the human tissue. A position analysis module may be configured to receive the pre-diagnostic image and determine whether the human tissue is positioned correctly based upon one or more predefined positioning criteria. A non-transitory computer-readable storage medium may be configured to store the results of the positional analysis module determination. A display may be configured to display the determination of the position analysis module within a user interface. Other embodiments are described and claimed.

Abstract: A radiotherapy head can include an electron accelerator, a deflection control assembly, a collimator, and a target material. The deflection control assembly is provided between the electron accelerator and the collimator, the collimator is provided with a plurality of collimating holes, and the target material is provided at an entrance of the each of the plurality of collimating holes; the deflection control assembly is configured to adjust a deflection angle of electron beams emitted by the electron accelerator, and emit angle-deflected electron beams to the target material; the target material is configured to convert the electron beams emitted to the target material into X-rays; and the collimator is configured to project the X-rays to a target via the plurality of collimating holes.

Abstract: Presented systems and methods facilitate efficient and effective generation and delivery of radiation. In one embodiment, an accelerator system includes a particle source, an acceleration portion, a high intensity target, and a target location control component. The particle source is configured to generate charged particles. The acceleration portion is configured to accelerate the charged particles. The high intensity target is configured to generate Bremsstrahlung radiation in response to impact by the charged particles. The target location control component configured to change the location of charged particle impacts on the high intensity target. In one exemplary implementation the change of location of charged particle impact is based on thermal diffusion and said location of charged particle impacts is moved at a rate greater than a rate of diffusion of detrimental heat impacts on the high intensity target.

Abstract: Disclosed herein are radiotherapy methods and systems that can display a workflow-oriented graphical user interface(s). In an embodiment, a method comprises presenting, by a server, for display on a graphical user interface, an image of a position of a patient on a couch of a radiotherapy machine, whereby at least a gantry of the radiotherapy machine is configured to rotate around the patient; calculating, by the server, one or more predicted collisions between a part of the radiotherapy machine and at least one of (a) the patient or (b) another part of the radiotherapy machine; and when a portion of the patient is calculated to be in a collision with the part of the radiotherapy machine, revising, by the server, the graphical user interface such that the portion of the patient calculated to be in the collision is visually distinct in the image.

Abstract: A method includes the following steps: positioning a patient at a first orientation relative to a radiation source, obtaining a measurement of the patient's breathing, and obtaining a measurement of the patient's cardiac function. The method includes, while the patient is positioned at the first orientation relative to the radiation source, and while obtaining the measurement of the patient's breathing phase, determining, from the measurement of the patient's breathing, a breathing phase of the patient and determining, from the measurement of the patient's cardiac function, a cardiac phase of the patient. The method includes gating the radiation source to expose the patient to radiation based on a determination that the breathing phase of the patient matches a predefined breathing phase and a determination that the cardiac phase of the patient matches a predefined window of the cardiac cycle.

Abstract: A radiation therapy system includes an X-ray imaging system that is configured with a combined and simplified filter and collimator positioning mechanism. In addition, an X-ray imager of the RT system is only positioned at a few discrete locations within a plane that is a fixed distance from the imaging X-ray source when generating X-ray images. As a result, for each of these discrete imaging positions, the simplified filter and collimator positioning mechanism positions a specific collimator-filter combination in a specific location between the X-ray source and the imager.

Abstract: An apparatus applicable for use in the context of dental or medical X-ray imaging includes a support construction 12 to which an X-ray source 14, an X-ray detector and a visible light emitting construction 141? are mounted. The support construction 12 is configured to enable moving the X-ray source 14 and the visible light emitting construction 141? such that they can be positioned at a given first and second time at essentially the same location so as to direct, when positioned at that location, a given field pattern in essentially the same direction towards the X-ray detector 15.

Abstract: Systems, methods, and computer software are disclosed for receiving a video stream and acquiring 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, the acquired images extracted from the video stream.

Abstract: A radiation treatment session is initiated to deliver a therapeutic radiation beam from a therapeutic radiation source to a target. One or more X-ray radiation sources are caused to deliver an imaging radiation beam from the one or more X-ray radiation sources through the target to one or more X-ray detectors to acquire imaging data associated with the target during therapeutic radiation beam delivery. One or more volumetric images are constructed using the acquired imaging data.

Abstract: A method used for planning radiation treatment accessing information that includes calculated doses and calculated dose rates for sub-volumes in a treatment target, and also accessing information that includes values of a measure of the sub-volumes as a function of the calculated doses and the calculated dose rates. A graphical user interface includes a rendering that is based on the calculated doses, the calculated doses rates, and the values of the measure.

Abstract: Methods are provided for permitting manipulation of an achievable dose distribution estimate deliverable by a radiation delivery apparatus for proposed treatment of a subject. One such method comprises: determining a dose modification voxel for which it is desired to modify the dose value and a corresponding magnitude of desired dose modification; for each of a plurality of beams: (i) characterizing the beam as a two-dimensional array of beamlets, wherein each beamlet is associated with a corresponding intensity value and a ray line representing the projection of the beamlet into space; and (ii) identifying one or more dose-change beamlets which have associated ray lines that intersect the dose modification voxel; modifying the intensity values of at least one of the dose-change beamlets; and updating the achievable dose distribution estimate to account for the modified intensity values of the at least one of the dose-change beamlets.

Abstract: Time-domain interleaving of treatment X-rays and imaging X-rays during an image guided radiation therapy (IGRT) process in a radiation therapy system prevents scatter of the treatment X-rays from degrading the quality of X-ray images used to generate volumetric image data of a target volume. Imaging X-rays are delivered to the target volume during one or more imaging intervals, and one or more pulses of treatment X-rays are delivered to the target volume between the imaging intervals. In instances in which a pulse of treatment X-rays is timed to occur during an imaging interval, the pulse of treatment X-rays is inhibited from occurring during the imaging interval and is rescheduled to occur at a later time that does not coincide with that imaging interval or subsequent imaging intervals.

Abstract: A method for generating a radiation treatment plan is provided. The method may include determining a set of one or more optimization goals for radiation delivery by a therapeutic radiation delivery apparatus. The method may also include determining a plan for radiation delivery from a radiation source of the therapeutic radiation delivery apparatus. The radiation source may be capable of continuously rotating around a subject. The plan may include a plurality of radiation segments. Each radiation segment may be characterized by at least one parameter selected from a start angle, a stop angle, a two-dimensional segment shape, or a segment MU value such that the plurality of radiation segments satisfy the set of one or more optimization goals by superimposing at least two radiation segments from at least two different rotations into a target volume of the subject.

Abstract: A method provides real-time correction of the spatial position of the central beam of radiation therapy devices and therapy simulators, along with the patient position. In particular, the method relates to the real-time correction of irradiation positions of the collimator and/or the position of the patient positioning table during the performance of radiation therapy or therapy simulation. Positional deviations of the central beam of existing radiation therapy devices are reduced. Position adjustments of the collimator elements and/or of the patient support table are carried out through functional connections of separate control modules via separate adjustment devices. Those are added to the collimator and/or patient support table. Calculation of the correction movements takes place outside the radiation therapy device in the irradiation planning system and/or in at least one microcontroller of the control system of the radiation therapy device.

Abstract: In various embodiments, a radiation therapy method can include loading a planning image of a target in a human. In addition, the position of the target can be monitored. A computation can be made of an occurrence of substantial alignment between the position of the target and the target of the planning image. Furthermore, after the computing, a beam of radiation is triggered to deliver a dosage to the target in a short period of time (e.g., less than a second).

Abstract: 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.

Abstract: A method of generating a radiotherapy plan for ion therapy, wherein the beam (6) is shaped by means of passive devices is arranged to allow variation in settings of at least one of the passive devices and/or the MU during the delivery of the beam and to control the movement of the patient and/or the beam in such a way as to create an arc. The arc is preferably a continuous arc or includes at least one continuous sub-arc. The method may include forward planning or optimization. In the latter case, the optimization uses an optimization problem set up to allow variation in settings of at least one of the range modulating device (9), the aperture element (11) and the MU during the delivery of the arc. Computer programs control the planning and the delivery.

Abstract: A standardized artificial intelligence automatic radiotherapy planning method includes acquiring a medical image; automatically delineating an ROI area of the medical image to acquire a geometric anatomical structure; determining a prescription according to disease type information corresponding to the medical image, the geometric anatomical structure, and a preset disease-prescription template library, and determining a radiation angle of radiation therapy; obtaining a radiation therapy dose distribution result using a dose prediction model; performing optimization processing using a reverse optimization algorithm based on dose distribution or DVH guidance, with reference to the radiation dose distribution result, to generate executable radiation therapy plans.

Abstract: The invention relates to a method and an installation for automatically measuring linear dimensions of manufactured objects (2) of a series comprising: the disposition of at least one focal point (Fj) of X-rays, on a same base straight line parallel to the rectilinear trajectory of displacement of the objects and of one or several image sensors (Ci); the acquisition, for each object during its displacement, of a set of one-dimensional images comprising, for a number (NK) of distinct section planes (Pk) containing the base straight line, a number (NP) of said images obtained along at least three different directions of projection (Dijk) in the section plane; for each object, and for each distinct section plane (Pk), the determination, from the images obtained, of a delineation of the object in the considered section plane (Pk).

Abstract: The disclosure relates to a patient support device (10) that is connectable to a positioning system (12), such as a multi-joint robot (16), the patient support device (10) comprising: a patient support region (18), comprising a front area (22) which defines a support plane (S) for supporting and/or contacting a patient (P) and an underside area (23) substantially facing away from the front area (22); and a coupling region (26) that is configured to be coupled to the positioning system (12), wherein the support plane (S) at least partially extends between the coupling region (26) and the underside area (23). The disclosure further relates to a patient positioning arrangement comprising such a patient support device (10) and positioning system (12).

Abstract: In one embodiment, a method includes receiving treatment information relating to a treatment plan for proton- or ion-beam therapy intended to irradiate a target tissue; receiving machine-limitation information relating to one or more limitations of one or more machines involved in the proton- or ion-beam therapy; determining a time-optimized beam current for a proton or ion beam based on the treatment information and the machine-limitation information, wherein the time-optimized beam current minimizes the time required to deliver a required quantity of monitor units to one of a plurality of spots, wherein each of the plurality of spots is a particular area of the target tissue; and delivering the time-optimized beam current to the particular area.

Abstract: A particle beam therapy apparatus has a position and posture setter that moves a movable body, that is at least one of the irradiation nozzle and the treatment table. A movement path of the movable body is determined when adapting the positional posture of the movable body from one condition among a plurality of prescribed conditions to another condition. An evaluation value is obtained for adapting the positional posture of the movable body to each of a plurality of prescribed conditions. This evaluation value is for a case of moving the movable body according to the movement path. A setting order is determined for adapting the positional posture of the movable body to each prescribed condition based on the evaluation value; and the positional posture of the movable body is adapted to each of the plurality of prescribed conditions by moving the movable body according to the determined movement path.

Abstract: Embodiments of the present disclosure provide a method, controller, and system for controlling a dose in radiotherapy of a patient and a computer storage medium. The method includes: starting to time radiation of rays or calculate radiation dose of the rays before a source carrier is aligned with a collimator in a process of aligning of the source carrier and the collimator; irradiating rays to a target area of the patient through the collimator till the radiation dose of the rays received by the patient is equal to a radiation dose required for the radiotherapy. Therefore, the radiation dose of the rays received by the patient in an entire treatment process may reach the radiation dose actually required during the radiotherapy, thereby improving a radiation dose control accuracy and a treatment effect during the radiotherapy.

Abstract: Provided is a fully-spherical radiation therapy system. The fully-spherical radiation therapy system includes a multi-degree-of-freedom robot, a linear accelerator and a double-image-guided positioning mechanism. The double-image-guided positioning mechanism includes four ray sources and two ray detectors, and the four ray sources include a first ray source, a second ray source, a third ray source and a fourth ray source. An intersection of two beams emitted by the first ray source and the second ray source is a low-level treatment center, an intersection of two beams emitted by the third ray source and the fourth ray source is a high-level treatment center, and the low-level treatment center and the high-level treatment center form a fully-spherical treatment space for multiple treatment nodes of a spherical center.

Abstract: A radiation therapy system comprising a therapeutic radiation system (e.g., an MV X-ray source, and/or a linac) and a co-planar imaging system (e.g., a kV X-ray system) on a fast rotating ring gantry frame. The therapeutic radiation system and the imaging system are separated by a gantry angle, and the gantry frame may rotate in a direction such that the imaging system leads the MV system. The radiation sources of both the therapeutic and imaging radiation systems are each collimated by a dynamic multi-leaf collimator (DMLC) disposed in the beam path of the MV X-ray source and the kV X-ray source, respectively. In one variation, the imaging system identifies patient tumor(s) positions in real-time. The DMLC for the imaging radiation source limits the kV X-ray beam spread to the tumor(s) and/or immediate tumor regions, and helps to reduce irradiation of healthy tissue (e.g., reduce the dose-area product).

Abstract: Methods and systems for selection of dosimetry levels and sphere amounts of radioactive compounds for use in a radioembolization procedure for procedure planning may include inputting activity parameter information into a dosimetry portal of a dosimetry selection tool; determining a customized activity based on the activity parameter information and one or more customized activity algorithms; generating one or more sphere amount and dosage recommendations based on the customized activity and one or more dosimetry selection algorithms; selecting one of the one or more sphere amount and dosage recommendations as a selected sphere amount and dosage recommendation; and generating a radioactive compound order for the radioembolization procedure based on the customized activity and the selected sphere amount and dosage recommendation.

Abstract: The invention provides a radiotherapeutical or radiosurgical system comprising at least two high-intensity radiation sources configured to rotate around a common rotation axis and a ring-shaped imaging device. A three-source configuration is considered as the most cost-effective and will be used as an example for illustration. The configuration of these high-intensity radiation sources and use of a unique compact MLC for each of the radiation sources make it possible for the system to rapidly deliver high-conformal non-coplanar stereotactic radiation treatment in one gantry rotation without any couch rotation. Therefore the invention can deliver high precision and high-conformal non-coplanar stereotactic radiation treatment to any part of the body in an extremely short time (0.1-20 seconds), which may exhibit numerous advantages over the prior art, such as reduction of radiation damage to the circulating immune cells in blood and mitigation of patient motion-induced problems, among others.

Abstract: An ophthalmologic information processing apparatus includes an analyzer, a storage unit, and a display controller. The analyzer is configured to specify an atrophy region in a fundus by analyzing data of the fundus of a subject's eye acquired using optical coherence tomography. The storage unit stores image data of the fundus. The display controller is configured to cause a fundus image of the subject's eye to be displayed on a display means based on the image data stored in the storage unit, and to cause a region corresponding to the atrophy region in the fundus image to be displayed on the display means so as to be identifiable.