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 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.

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.

An intervention system employing an interventional device (10), and a sensor wire (20) manually translatable within the 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).

The invention is directed to a data processing method for determining the consistency of registration of the position of a treatment body part to be treated by radiotherapy with a treatment beam arrangement of at least one position of a treatment beam issued by a treatment device, the treatment body part being a soft tissue part of an anatomical structure of a patient's body and the data processing method being constituted to be executed by a computer and comprising the following steps: g) acquiring CT data comprising predetermined CT information about a position of the treatment body part relative to a bony structure of the patient's body and about a first position of the bony structure relative to the treatment beam arrangement; h) acquiring x-ray data comprising x-ray information about a second position of the bony structure relative to the treatment beam arrangement; i) determining, based on the x-ray data and the CT data, bony structure position first transformation data comprising bony structure position first transformation information about a first transformation between the first position and the second position of the bony structure; j) acquiring CBCT data comprising CBCT information about the position of the treatment body part relative to the treatment beam arrangement or relative to the bony structure; k) determining, based on the CBCT data and the CT data, bony structure position second transformation data comprising bony structure position second transformation information about a second transformation between the first position and a third position of the bony structure relative to the treatment beam arrangement; determining, based on the bony structure position first transformation data and the bony structure position second transformation data, transformation difference data comprising transformation difference information about a difference between the first and second transformations.

According to some embodiments, an image processor includes an image generator, a region acquirer, and a label applicator. The region acquirer acquires at least one two-dimensional region designated on at least one first perspective image generated from three-dimensional volume data of a target. The label applicator applies a label on at least one first three-dimensional region. The at least one first three-dimensional region is a part of a second three-dimensional region. The second three-dimensional region is defined by the at least one two-dimensional region, a point and a surface which is defined by a set of straight lines between the point and the boundary of the two-dimensional region. The first three-dimensional region is defined to be a first overlapping region where the three-dimensional volume data and the second three-dimensional region overlap.

Systems and methods for image registration are provided. The method may include obtaining a reference image of an object (510); the object includes a target volume; determining a registration mask associated with a region of interest (ROI) based on the reference image (520), the ROI includes at least a portion of the target volume; obtaining a target image of the object (530); and performing an image registration on the reference image and the target image based on the registration mask (540).

A method of image-guided radiation treatment is described. The method includes processing a 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, wherein part or all of the image data comprises a target of a patient. The method also includes registering the enhanced image with another image to obtain a registration result and tracking the target using the registration result to generate tracking information. The method also includes directing treatment delivery to the target based on the tracking information obtained from the enhanced image.

A medical image processing device of an embodiment includes a first image acquirer, a second image acquirer, a generator, and a calculator. The first image acquirer acquires a first fluoroscopic image of a patient. The second image acquirer acquires a second fluoroscopic image according to radiation with which the patient is irradiated at a time point different from a time point of acquisition of the first fluoroscopic image from a photography device that detects radiation with a detector and performs an imaging process. The generator generates a reconstructed image obtained by reproducing the second fluoroscopic image from the first fluoroscopic image virtually arranged in a three-dimensional space on the basis of an installation position of the detector in the three-dimensional space. The calculator obtains a suitable position on the first fluoroscopic image in the three-dimensional space on the basis of a degree of similarity between the second fluoroscopic image and the reconstructed image. The generator generates the reconstructed image which is for use in the calculator and has a range larger than a range corresponding to the second fluoroscopic image.