An intervention system employs an interventional device (10), and a sensor wire (20) manually translatable within a lumen (11). The intervention system further employs a reconstruction controller (44) for reconstructing a shape of the interventional tool (10) responsive to a sensing of a manual translation of the sensor wire (20) within the lumen (11) (e.g., a EM sensor being attached to/embedded within a guide wire), and for determining a reconstruction accuracy of a translation velocity of the sensor wire (20) within the lumen (11) to thereby facilitate an accurate reconstruction of the shape of the interventional tool (10). The reconstruction accuracy may be determined by the reconstruction controller (44) as an acceptable translation velocity being less than an acceptable threshold, an unacceptable translation velocity being greater than an unacceptable threshold, and/or a borderline translation velocity being greater than the acceptable threshold and less than the unacceptable threshold. The reconstruction controller (44) generates an acceptability indicator that may be visualizing or audibly communicated via a user interface (48).

A medical apparatus according to an embodiment includes an acquirer, a corrector, an identifier, and an output controller. The acquirer is configured to acquire a fluoroscopic image of an object from an imager. The corrector is configured to correct an image of one or more predetermined regions used for identifying a target position of the object in the fluoroscopic image based on one or more correction values but does not correct an image of at least a part of a region out of the predetermined region in the fluoroscopic image. The identifier is configured to identify the target position based on an image corrected by the corrector. The output controller is configured to output an irradiation permission signal to a therapeutic device which irradiates the object with a therapeutic beam based on the target position identified by the identifier.

A medical image processing device according to an embodiment 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.

Systems and methods for radiation therapy. The methods comprise: acquiring an image of a treatment area using a Robotic Sculpted Beam Radiation Treatment System (RCBRTS); presenting, by a Mobile Computing Platform (MCP), the image in a GUI; creating a Real-Time Beam Sculpting Treatment Plan (RTBSTP) for the patient based on user inputs to MCP via GUI; verifying an expected effectiveness of RTBSTP using a virtual measurement component of GUI (where the virtual measurement component simultaneously provides distance measurements and radiation dose deposition measurements associated with the patient's anatomy and RTBSTP); verifying the final treatment plan using cross sectional 3D view and/or AR view; programming RCBRTS such that radiation therapy delivery will be provided in accordance with RTBSTP; setting RCBRTS so part of it will be inserted into a cavity formed during a medical procedure; and/or performing operations by RCBRTS to apply radiation to the patient.

A method of operating a radiation apparatus is described that selects at least a first angle and a second angle from the set of angles for a first rotation of the gantry. The method generates, using an imaging device mounted to the gantry, a first tracking image of the target from the first angle during the first rotation of the gantry. The method generates, using the imaging device, a second tracking image of the target from the second angle during the first rotation of the gantry. The method performs targeting tracking based on the first tracking image and the second tracking image.

A medical image processing device includes a first position acquirer, a first converter, a first likelihood image generator, and a learner. The first position acquirer is configured to acquire, as first positions, target positions in plural first images. The first converter is configured to convert the first positions to second positions by expanding movement in a second direction intersecting a first direction based on movement over time of the first positions. The first likelihood image generator is configured to generate a first likelihood image showing a distribution of likelihood of the second positions. The learner is configured to output a model using the plural first images and the first likelihood image as training data, and upon receiving part or all of a transparent image, derives a second likelihood image showing a distribution of likelihood indicating probability of the part or all of the transparent image corresponding to the second positions.

A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.

A method and apparatus for manipulation of a respiratory model via adjustment of parameters associated with model images is described. A subset of the images that are used with the model that is associated with the position and motion of a targeted region of the patient to receive radiation treatment may be identified. The subset of images may be sorted. A graphical user interface (GUI) that identifies two or more of the images of the sorted subset may be provided. A selection associated with one of the images of the sorted subset may be received by the GUI. Furthermore, a new model to identify the targeted region based on the selection that is associated with one of the two or more images may be generated.

A method of image-guided radiation treatment is described. The method may include acquiring digitally reconstructed radiographs (DRRs) of a patient and generating a first set of image data of part or all of the patient using imaging radiation at a first energy level and a second set of image data of part or all of the patient using imaging radiation at a second energy level. The method may also include processing the first and second sets of image data to generate an enhanced image, wherein the enhanced image comprises a combination of the first and second sets of image data, and wherein part or all of the image data comprises the target. The method may also include registering the enhanced image with the DRRs to obtain a registration result, tracking movement and position of the target using the registration result to generating tracking information.

Techniques for adjusting radiotherapy treatment for a patient in real-time are provided. The techniques include determining a patient anatomy at a first time within a given radiotherapy treatment fraction after a radiotherapy treatment dose has been delivered by a radiotherapy device; retrieving a reference patient anatomy for the given radiotherapy treatment fraction that indicates a prescribed dose parameter to be delivered within the given radiotherapy treatment fraction; comparing the patient anatomy at the first time with the reference patient anatomy during the given radiotherapy treatment fraction; and based on the comparison of the patient anatomy at the first time with the reference patient anatomy, adjusting a parameter of the radiotherapy device to change an amount of radiotherapy treatment dose delivered at a second time, following the first time, within the given radiotherapy treatment fraction in accordance with the prescribed dose parameter to be delivered within the given radiotherapy treatment fraction.