According to an embodiment, a radiation therapy device includes an acquirer, a projection position calculator, an element projection image generator, and an element projection image synthesizer. The acquirer acquires a condition of X-ray imaging in a treatment stage and a three-dimensional image of a patient imaged before the treatment stage. The projection position calculator calculates a projection position when each of pixels included in the three-dimensional image is projected onto a two-dimensional X-ray fluoroscopic image generated in the X-ray imaging on the basis of the condition of the X-ray imaging. The element projection image generator generates an element projection image for each pixel when each of the pixels included in the three-dimensional image is projected onto the X-ray fluoroscopic image. The element projection image synthesizer performs a synthesis process for the element projection image for each pixel on the basis of the projection position to generate a reconstructed image.

A medical image processing device includes a first image acquiring unit, a second image acquiring unit, a first likelihood distribution calculating unit, a trackability determining unit, and a tracking unit. The first image acquiring unit acquires first images which are transparent images of the patient. The second image acquiring unit acquires second images which are transparent images of the patient generated at a time different from that of the first images. The first likelihood distribution calculating unit calculates a first likelihood distribution indicating a distribution of likelihoods indicating a likeness to the object in the first images. The trackability determining unit determines whether the object is trackable on the basis of the first likelihood distribution. The tracking unit tracks the position of the object in the second images on the basis of the result of determination.

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 plurality of shift images are generated by shifting a fluoroscopic image by a prescribed increment within a prescribed range in a craniocaudal direction. Then, a normalized correlation coefficient between a DRR image and each of the plurality of shift images is calculated. Next, a shift amount of the shift image corresponding to the largest normalized correlation coefficient among the plurality of normalized correlation coefficients is determined to be the positional deviation.

A method and apparatus for marking a target with a radiopaque marker is disclosed. The method may include providing a radiopaque filament and inserting at least portion of the radiopaque filament into tissue. The filament may extend continuously and at last partially around a perimeter of the target so that the filament is disposed in a plurality of surgical planes to demarcate the target with the radiopaque maker.

Systems and methods for real-time target validation during radiation treatment therapy based on real-time target displacement and radiation dosimetry measurements.

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.

Disclosed is a computer-implemented method for determining the pose of an anatomical body part of a patient's body for planning radiation treatment, a corresponding computer program, a non-transitory program storage medium storing such a program and a computer for executing the program, as well as a system for determining the pose of an anatomical body part of a patient's body for planning radiation treatment, the system comprising an electronic data storage device and acquire surface tracking data the aforementioned computer.

A method of operating a radiation apparatus is described. The method includes selecting at least a first angle and a second angle from a set of angles for a first rotation of a gantry of a radiation apparatus. The method also includes generating, using an imaging device mounted to the gantry, a first tracking image of a target from the first angle during the first rotation of the gantry. The method further includes generating, using the imaging device, a second tracking image of the target from the second angle during the first rotation of the gantry.

A system for limited view imaging is provided. The system may obtain a reference image of an object. The system may identify, from the reference image, one or more critical boundaries between a target organ of the object and one or more adjacent organs of the target organ. The system may determine an imaging angle range of the object based on the one or more critical boundaries. The system may further cause an imaging device to scan the object based on the imaging angle range, the object being in a breath-hold state during the scan.