An acquisition unit of an image processing device acquires a radiographic image which includes a patient and markers including lead plates and has been captured in a state in which the markers are disposed at a first position between a radiation source and the patient and a second position between a radiation detector and the patient, the subject being interposed between the first and second positions. An image processing unit calculates a correction magnification for setting a part of interest in the patient included in the radiographic image to a set dimension, on the basis of sizes of images of a plurality of the markers included in the radiographic image and an actual size of the markers, and changes a size of the radiographic image according to the correction magnification.

A processor derives a linear structure image indicating a high-frequency linear structure from each of a plurality of tomographic images indicating tomographic planes of an object, derives a feature amount indicating features of the linear structure from the linear structure image, selects at least one tomographic image or high-frequency tomographic image including the linear structure or a predetermined tomographic image or high-frequency tomographic image on the basis of the feature amount for each corresponding pixel in each of the tomographic images or the high-frequency tomographic images indicating high-frequency components of the tomographic images, and derive a composite two-dimensional image on the basis of the selected tomographic images or high-frequency tomographic images.

A medical image processing apparatus includes an acquisition unit and a processing unit. The acquisition unit acquires volume data of a subject. The processing unit displays a three-dimensional image by rendering the acquired volume data, on a display unit. The processing unit displays a first object showing (i) a point on a body surface of the subject and (ii) a direction to the volume data in the three-dimensional image, and displays a two-dimensional image of a surface including the point on the body surface and being defined based on the direction, in the volume data. The processing unit acquires information of a first operation to change display of the two-dimensional image, and moves the point on the body surface along the body surface of the subject based on the first operation to update display of the first object and the two-dimensional image.

A surgical instrument navigation system and method of use is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient, wherein the surgical instrument, as provided, may be a steerable surgical catheter with a biopsy device and/or a surgical catheter with a side-exiting medical instrument, among others. Additionally, systems, methods and devices are provided for forming a respiratory-gated point cloud of a patient's respiratory system and for placing a localization element in an organ of a patient.

A method for characterization of coronary plaque tissue data and perivascular tissue data using image data gathered from a computed tomography (CT) scan along a blood vessel, the image information including radiodensity values of coronary plaque and perivascular tissue located adjacent to the coronary plaque, the method comprising quantifying radiodensity in regions of coronary plaque, quantifying, radiodensity in at least one region of corresponding perivascular tissue adjacent to the coronary plaque, determining gradients of the quantified radiodensity values within the coronary plaque and the quantified radiodensity values within the corresponding perivascular tissue, and determining a ratio of the quantified radiodensity values within the coronary plaque and the corresponding perivascular tissue; and characterizing the coronary plaque by analyzing a gradient of the quantified radiodensity values in the coronary plaque and the corresponding perivascular, and/or the ratio of the coronary plaque radiodensity values and the radiodensity values of the corresponding perivascular tissue.

A computer implemented method maps a three-dimensional branched tubular structure depicted in a three-dimensional image data set into at least one two-dimensional image plane.

An apparatus and method for obtaining a thick-slice image from tilted thin-slice computed-tomography (CT) projection data. Tilted CT projection data is obtained for a series of projection planes, wherein the projection planes are parallel for all scans, and the translation direction between CT scans is not orthogonal to the projection planes (i.e., the projection planes are tilted relative to the translation direction between CT scans). Thin-slice images are reconstructed from the respective CT scans, and then grouped into thick-slice groupings. An offset results among the thin-slice images within a thick-slice grouping due to the tilt of the projection planes. This offset is compensated by interpolating and resampling the thin-slice images onto non-offset pixel grids. The interpolated and resampled thin-slice images are then averaged pixel-by-pixel to obtain thick-slice images having the same tilt angle as the thin-slice images.

A method for generating synthetic X-ray images is provided. A first neural network is provided to generate at least one synthetic X-ray image having specified quality. A second neural network is provided to ascertain characterizing properties from at least one secondary X-ray image for the first neural network. The first neural network and the second neural network may be trained by primary X-ray images of specified minimum quality. The at least one secondary X-ray image has a lower quality compared to primary X-ray images. The at least one synthetic X-ray image is generated with the aid of the provided characterizing properties by the first neural network. The at least one synthetic X-ray image is improved with regard to quality compared to the at least one secondary X-ray image.

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.

Systems and methods are provided for simulating medical images based on previously acquired data and a defined imaging protocol. In an example, a method includes generating a simulated medical image of a patient via virtual imaging based on previously obtained medical images and a scan intent of the virtual imaging, and outputting an imaging protocol based on a virtual protocol of the virtual imaging.