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 medical scan assisted review system is operable to receive, via a network, a medical scan for review. Abnormality data is generated by identifying a plurality of abnormalities in the medical scan by utilizing a computer vision model that is trained on a plurality of training medical scans. The abnormality data includes location data and classification data for each of the plurality of abnormalities. Text describing each of the plurality of abnormalities is generated based on the abnormality data. The abnormality data and the text is transmitted to a client device. A display device associated with the client device displays the abnormality data in conjunction with the medical scan via an interactive interface, and the display device further displays the text via the interactive interface.

A method for performing a CT imaging process based on an individual respiration behaviour of a patient, comprises: recording a respiratory movement of the patient by monitoring an intrinsic respiratory surrogate. In the context of recording the intrinsic respiratory surrogate, CT raw data are acquired from an examination volume of the patient, and 3D-CT images of subsequent stacks of the examination volume at different z-positions are reconstructed. An automatic organ segmentation is performed based on the reconstructed 3D-CT images of the subsequent stacks, wherein at least a portion of the examination volume is segmented. Furthermore, a respiratory movement of at least the portion of the examination volume is detected and determined as the intrinsic respiratory surrogate. The CT imaging process is then adapted based on the intrinsic respiratory surrogate of the patient.

A system and method is provided for magnetic resonance imaging (MRI) guided respiratory gated radiotherapy using a respiratory motion model. MRI-guided respiratory gating is performed with a continuously updated model that represents a patient's internal anatomy as a mathematical function of an external respiratory surrogate. The motion model may be built and updated by acquiring images of a tissue in a subject and measuring, using the images, a position of the tissue in the images to determine motion of the tissue. The surrogate respiratory signal is acquired contemporaneously with acquiring the images. Motion of the tissue and the surrogate respiratory signal are correlated to create the motion model for the subject and gating a radiotherapy system may then be based upon the motion model. A multi-planar model-based respiratory gating may also be performed by sequentially imaging a stack of adjacent slice positions.

An electronic device includes a processor configured to generate a position movement prediction field indicating prediction of a potential positional change of a branch path by a patient's biological activity for one or more branch paths based on a blood vessel image of a reference frame, correct guidewire information extracted from a blood vessel image of a target frame with respect to a catheter position of the reference frame, and select a branch path to dispose the guidewire information, among one or more branch paths of a blood vessel region based on the position movement prediction field and the corrected guidewire information; and a display configured to visualize the guidewire information on the selected branch path.

A method for evaluating image quality is provided. The method may include: obtaining an image, the image including a plurality of elements, each element of the plurality of elements being a pixel or voxel, each element having a gray level; determining, based on a maximum gray level of the plurality of elements, one or more thresholds for segmenting the image; determining one or more sub-images of a region of interest by segmenting, based on the one or more thresholds, the image; and determining, based on the one or more sub-images of the region of interest, a quality index for the image.

A radiation image processing system, including: an image analysis section which performs image analysis to a plurality of frame images that is obtained by moving image imaging of a target site having periodicity in a movement or frame images that are obtained after image processing based on the frame images obtained by the moving image imaging and which determines a period of the movement; and a reproduction range setting section which sets a range of frame images to be reproduced and displayed among the frame images based on an analysis result of the period determined by the image analysis section.

For imaging an object subject to a cyclic motion, two or more imaging repetitions are carried out. Each of the imaging repetitions includes a sequence of equally spaced imaging events, wherein each imaging event has an event number, which corresponds to a respective predefined imaging parameter. A cycle duration of the cyclic motion is determined, a number of events per cycle is determined based on the cycle duration and a shift number is determined at least in part randomly. For a first imaging repetition, a starting number is determined depending on the number of events per cycle and the shift number. The first imaging repetition is carried out, wherein the respective sequence is started with an imaging event, whose event number is given by the starting number.

In one embodiment, a medical image diagnostic apparatus includes a memory circuit; a display; and processing circuitry configured to acquire medical images of an object at respective time phases, detect respective positions of a treatment device in the medical images, acquire biological information from the medical images, compute biological indexes indicating degree of a treatment effect for the respective time phases based on the biological information, cause the memory circuit to store the biological indexes and the respective positions of the treatment device in the medical images such that each biological index is associated with a position of the treatment device in a medical image, from which the biological information corresponding to the each biological index is acquired, for the respective time phases, and cause the display to display each position of the treatment device and a biological index associated with the each position of the treatment device.

An image processing apparatus includes: a base period extracting unit extracting a first target region period based on a first periodic change being a periodic change of a target region in a base moving image acquired by a base moving image acquiring unit; a reference period extracting unit extracting a second target region period based on a second periodic change being a periodic change of the target region in a reference moving image acquired by a reference moving image acquiring unit; a period adjusting unit performing period adjusting processing of synchronizing, for the first target region period or the second target region period, the first periodic change and the second periodic change with each other at a particular phase; and a display image generating unit generating a display image allowing for comparison between the base moving image and the reference moving image after the period adjusting processing is performed.