A method for vascular assessment is disclosed. The method includes receiving a plurality of medical images of a portion of a vasculature of a subject and processing the medical images to produce a model of the vasculature. The method further includes obtaining a flow characteristic of the model and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the model.

A fixture for a fluoroscopic x-ray imaging system is discussed, wherein the fluoroscopic imaging system includes a C-arm, an x-ray source at a first end of the C-arm, and an x-ray detector at a second end of the C-arm. The fixture includes a processor and memory coupled with the processor. The memory includes instructions that are executable by the processor so that the processor is configured to detect an x-ray emission from the x-ray source toward the x-ray detector, determine an offset of the x-ray source relative to the x-ray detector responsive to detecting the x-ray emission, and provide an indication of the offset of the x-ray source to a medical navigation system. Related methods and robotic systems are also discussed.

The present invention relates to a method and apparatus for X-ray phase contrast imaging. The method comprises the following steps: from the measured phase gradient and overall attenuation information, an electron density is computed; the contribution p.sub.c of the Compton scattering to the overall attenuation is estimated from the electron density; the contribution pp of the photo-electric absorption to the overall attenuation is estimated from the overall attenuation and the contribution p.sub.c; the values p.sub.c and p.sub.p are used to reconstruct a Compton image and a photo-electric image; by linear combination of these two images, a monochromatic image at a desired energy is obtained.

A method for extending initial image data of a subject for dose estimation includes obtaining first image data of the subject for dose calculation, wherein the first image data has a first field of view. The method further includes obtaining second image data for extending the field of view of the first image data. The second image data has a second field of view that is larger than the first field of view. The method further includes extending the first field of view based on the second image data, producing extended image data.

In order to provide an arithmetic device, an X-ray CT apparatus, and an image reconstruction method, capable of reducing processing time while maintaining a noise reduction effect, in a successive approximation image reconstruction method (separable paraboloidal surrogate (SPS) method) of the related art, updated images are forward-projected, whenever images are repeatedly updated, a difference between forward projection data and original object projection data is back-projected so that a difference image is obtained, and a forward projection process and a back projection process are repeatedly performed, but, in the present invention, a forward projection process and a back projection process requiring calculation time are replaced with a process requiring a relatively small calculation amount, such as a difference between an updated image and a reference image, and, as a result, it is possible to considerably reduce a calculation amount in a successive approximation image reconstruction process and to reduce processing time.

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry collects pieces of past image data in a plurality of time phases that contain at least a part of a coronary artery of a heart and new image data in one time phase that contains at least a part of the coronary artery and has been acquired after acquisition of the pieces of past image data. The processing circuitry performs registration processing between the pieces of collected past image data and registration processing between any one of the pieces of past image data and the new image data. The processing circuitry generates pieces of synthesized image data corresponding to the time phases of the pieces of past image data other than the past image data on which the registration processing with the new image data has been executed by reflecting a shape of the new image data based on results of the registration processing. The processing circuitry derives a fluid parameter related to the coronary artery by executing fluid analysis using the pieces of synthesized image data.

Disclosed is surface guided cropping in volume rendering of 3D volumetric data from intervening anatomical structures in the patient's body. A digital 3D representation expressing the topography of a first anatomical structure is used to define a clipping surface or a bounding volume which then is used in the volume rendering to exclude data from an intervening structure when generating a 2D projection of the first anatomical structure.

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.

A method is provided for calculating a region of interest in a second image using an initial region of interest in a first image. The first and second images are linked by a spatial transformation function. The method includes steps of (i) generating a first polygonal mesh enclosing the initial region of interest in the first image; (ii) computing a second polygonal mesh in the second image by applying the spatial transformation function to the first polygonal mesh, and (iii) identifying image elements within the second image, that belong to the area enclosed by the second polygonal mesh. Also provided are a computer program and a system.

A motion correction method includes two steps. The first step includes a global motion correction using the bilinear warping technique and a rough delineation of the lung fields. One of the native images (low energy image, high energy image) is deformed to match the other image. In a second step, local motion corrections are applied to the globally motion corrected image by computing a proximity value in small overlapping tiles. Only tiles with a sufficient high proximity value are taken into account. The maximum shift applied in this second step is limited to a few pixels to avoid strong deformations of the native images.