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.

Systems and methods for image-guided medical procedures use fluoroscopic 3D reconstructions to plan and navigate a percutaneously-inserted device such as a biopsy tool from an entry point to a target.

Provided is a 3D bone density and bone age calculation apparatus using an artificial intelligence-based rotation manner. The 3D bone density and bone age calculation apparatus includes a main body, and the main body includes a rotary drum including a drum shaft gear, an X-ray generator, an intensifying screen, and an image data capturer, a drum driver including a motor shaft gear connected to the drum shaft gear so as to rotate the rotary drum, a motor, support rollers and one of an origin sensor and an encoder, an outer case and an inner case, a front case and a rear case, a capturing holder, and a controller configured to select an image-captured position of the rotary drum, and configured to input a current age, sex and nutritional status of a patient, etc. The controller includes a display configured to display captured images and a diagram indicating bone age.

A system and method for displaying and navigating breast tissue is configured for or includes obtaining a plurality of 2D and/or 3D images of a patient's breast; generating a synthesized 2D image of the breast from the obtained images; displaying the synthesized 2D image; receiving a user command, or otherwise detecting through a user interface, a user selection or other indication of an object or region in the synthesized 2D image; and displaying at least a portion of one or more images from the plurality, including a source image and/or most similar representation of the user selected or indicated object or region.

A system for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images including a structure of markers, a fluoroscopic imaging device configured to acquire a sequence of images of the target area and of the structure of markers, and a computing device. The computing device is configured to estimate a pose of the fluoroscopic imaging device for at least a plurality of images of the sequence of images based on detection of a possible and most probable projection of the structure of markers as a whole on each image of the plurality of images. The computing device is further configured to construct fluoroscopic-based three-dimensional volumetric data of the target area based on the estimated poses of the fluoroscopic imaging device.

Described embodiments include a system that includes a display and a processor. The processor is configured to modify an image that includes a representation of a wall of an anatomical cavity, by overlaying an icon that represents an intrabody tool on a portion of the image that corresponds to a location of the intrabody tool within the anatomical cavity, and overlaying a marker on a portion of the representation of the wall that corresponds to a location at which the intrabody tool would meet the wall, were the intrabody tool to continue moving toward the wall in a direction in which the intrabody tool is pointing. The processor is further configured to display the modified image on the display. Other embodiments are also described.

The present disclosure relates, in part, to a scanning sufficiency apparatus that computes whether a handheld scanning device has scanned a volume for a sufficiently long time for there to be detections and then indicate to the user that the time is sufficient in 3-D rendered voxels. Also described is a hand held medical navigation apparatus with system and methods to map targets inside a patient's body.

A region correction device, method, and program make it possible to, when one of a plurality of regions is corrected to be reduced, determine the boundaries of a plurality of regions adjacent to the reduced region. A processor reduces a first region among a plurality of regions in response to an instruction to reduce the first region, the instruction being provided for a target image in which the plurality of regions are adjacent to each other, the plurality of regions being three or more regions different from each other. The processor derives a difference region representing a difference between the first region before reduction and the first region after reduction, the difference region being composed of a plurality of small regions. The processor assigns a plurality of adjacent regions adjacent to the first region to the difference region by sequentially expanding, in the difference region, the plurality of adjacent regions in units of the small regions from a boundary between the difference region and the plurality of adjacent regions.

X-ray backscatter imaging (XBI) methods and systems are provided that enable depth-sensitive information to be obtained from images acquired during a single scan from a single side of an object being imaged. The depth-sensitive information is used in combination with other image information acquired during the scan to produce high-resolution 2-D or 3-D images, where at least one of the dimensions of the 2-D or 3-D image corresponds to depth in the object.

Embodiments provide a computer-implemented method of deriving a periodic motion signal from imaging data for continuous bed motion acquisition, including: acquiring a time series of three dimensional image volumes; estimating a first motion signal through a measurement of distribution of each three dimensional image volume; dividing the time-series of three dimensional image volumes into a plurality of axial sections overlapping each other by a predetermined amount; performing a spectral analysis on each axial section to locate a plurality of three dimensional image volumes which are subject to a periodic motion; performing a phase optimization on each axial section to obtain a three dimensional mask; estimating a second motion signal through the three dimensional mask and the time-series of three dimensional image volumes; and estimating a final motion signal based on the first motion signal and the second motion signal.