Systems and methods of radiograph correction and visualization are disclosed. Certain embodiments provide a method for generating a 3D model of at least part of one anatomical object based on one or more radiographs. The method further includes positioning the 3D model based on information indicative of a normalized projection comprising information indicative of a desired position and orientation of the at least part of one anatomical object with respect to the projection plane. The method further includes generating a 2D projection of the 3D model onto the projection plane. The method further includes generating one or more modified radiographs of the at least part of one anatomical object based on the 2D projection.

A method for removing ghost markers from a measured set of medical markers, wherein the measured set of markers represents the positions of real markers and the positions of ghost markers, comprising the steps of: calculating all possible minimal marker sets, wherein a minimal marker set is a subset of the measured set and a minimal marker set consists of the smallest possible number of markers which would cause the measured set to be measured; calculating the smallest extent of each minimal marker set, wherein the smallest extent is the smallest extent among the extents in three orthogonal directions; and selecting the minimal marker set having the smallest out of the smallest extents as a marker set without ghost markers.

Described herein is a medical accelerator target including a target constructed of a material having an atomic number that is greater than or equal to 40 or having a thickness of less than 0.2 radiation lengths.

Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of virtual revascularization of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.

A radiation generation control device includes an acquirer, a first connector, a second connector and a controller. The acquirer acquires a first signal which instructs emission of radiation. The first connector inputs a second signal which indicates a driving state of a radiography apparatus that generates a radiographic image. The second connector connects with a radiation generation apparatus that generates radiation. The controller makes the second connector repeatedly output a third signal which instructs emission of radiation with a predetermined period based on the acquired first signal and the input second signal.

Systems and methods for tracking a target volume, e.g., tumor, during radiation treatment are provided. Under one aspect, a system includes an ultrasound probe, an x-ray imager, a processor, and a computer-readable medium that stores a 3D image of the tumor in a first reference frame and instructions to cause the processor to: instruct the x-ray imager and ultrasound probe to substantially simultaneously obtain inherently registered x-ray and set-up ultrasound images of the tumor in a second reference frame; establish a transformation between the first and second reference frames by registering the 3D image and the x-ray image; instruct the ultrasound probe to obtain an intrafraction ultrasound image of the tumor; registering the intrafraction ultrasound image with the set-up ultrasound image; and track target volume motion based on the registered intrafraction ultrasound image.

An apparatus for vascular modeling is disclosed. The apparatus receives medical images from an imaging device that include representations of a coronary vessel tree of a subject recorded at a different viewing angles. The apparatus determines, from a first of the medical images, a first centerline set and first vessel diameters for sample points along the first centerline set, and determines, from a second of the medical images, a second centerline set and second vessel diameters for sample points along the second centerline set. The apparatus determines a correspondence between the first centerline set and the second centerline set, and determines diameters for a combined centerline set based on the correspondence of sample points along the first and second centerline sets. The apparatus provides the combined centerline set for estimating blood flow resistance values of the coronary vessel tree of the subject to determine at least one potential stenosis.

A medical image processing apparatus comprising: a first input interface configured to acquire a three-dimensional volume image of an object which is provided with at least one marker, the three-dimensional volume image being generated by imaging the object using a medical examination apparatus; a second input interface configured to acquire geometry information of an imaging apparatus which is used for imaging the object to generate a fluoroscopic image of the object; and a specific-setting-information generator configured to generate specific setting information based on the three-dimensional volume image and the geometry information, the specific setting information being used for setting of imaging for generating an image depicting the at least one marker or setting of image processing of the image depicting the at least one marker.

In an embodiment, a medical system is disclosed. One embodiment of the medical system comprises a medical processing unit in communication with an intravascular instrument configured to be moved longitudinally within a body lumen and in further communication with a radiographic imaging source configured to obtain radiographic images of the intravascular instrument while the intravascular instrument is moved longitudinally within the body lumen. The medical processing unit is configured to receive radiographic images obtained by the radiographic imaging source, track the intravascular instrument within the radiographic images while the intravascular instrument is moved longitudinally within the body lumen, calculate a movement speed based on the tracking, compare the calculated movement speed to a predefined target movement speed, generate a speed-adjustment suggestion based on the comparison, and output the speed-adjustment suggestion to a display for review by a user.

An X-ray-diagnostic apparatus generates time-series first vessel images corresponding to a first direction, and generates second vessel image corresponding to a second direction. The apparatus generates third vessel images corresponding to the second direction, by transforming more than one piece out of the first vessel images based on a blood vessel shape in one of the first vessel images and a blood vessel shape in at least one of the second vessel image, the third vessel image corresponding to respective time phases of the first vessel images. The apparatus generates first color image corresponding to the first direction by using more than one piece out of the first vessel images, and generates second color image corresponding to the second direction by using more than one piece out of the third vessel images. The apparatus displays a stereoscopic image based on the first color-image and the second color image.