A method for improved 3D imaging of a volume is disclosed. The application discussed is improved assessment of complex 3D structures including breast microcalcifications and incorporation of geo-registered tools. The 3D imaging is displayed on a geo-registered head display unit.

This patent discloses a method and apparatus for improving workflow for a radiologist. Specifically, this patent improves the current manual scrolling such as at a constant rate of 0.2 seconds per image slice by establishing triggering events which cause a precise timing system to exactly determine the appropriate amount of time to spend on each image. For example, viewing of homogeneous regions where there is good contrast between a lesion and background will serve as a triggering event for rapid scrolling. In contrast, viewing of heterogeneous and complex regions or regions where the target is similar in gray scale to the background will serve as a triggering event for slow scrolling.

The present invention relates to a method and a cone beam computed tomography apparatus for reducing artefacts in an image acquired with the cone beam computed tomography apparatus using a second pass artefact reduction method. Projection data of an object are acquired, wherein the projection data comprises a first subset of data to be used for reconstruction of a first image, and a second subset of data comprising projection data not to be used for the construction of the first image, wherein the second subset of data comprises projection data not comprised in the first subset of data. A first and a second image are reconstructed using the first and the second subset of data, respectively. A second pass artefact reduction method is performed using the second image as input image of the second pass artefact reduction method, thereby reducing artefacts in the first image.

A method for imaging includes acquiring surface image data for a target using a first imaging modality. A visual representation of the target based on the surface image data is generated. Internal image data for the target is acquired using a second imaging modality. During acquisition of the internal image data, the visual representation of the target based on the acquired internal image data is updated.

An image processing apparatus according to an embodiment has processing circuitry configured to acquire three-dimensional medical image data; set coordinates of at least two or more elements to evaluate an evaluation target represented by the three-dimensional medical image data, on images of different positioning slices of the three-dimensional medical image data; calculate a measured value for evaluating the evaluation target based on the coordinates; and control a display to display the measured value.

The present disclosure relates to the field of a cabinet X-ray incorporating an X-ray tube, an X-ray detector, and a real-time camera, either high definition or standard resolution, for the production of organic and non-organic images and a system and method wherein the attained X-ray radiograph may be colorized to designate different densities. In particular, the disclosure relates to a system and method with corresponding apparatus for capturing a real-time image simultaneously with the X-ray image allowing a cabinet X-ray unit to attain and optimize images either in grayscale or colorized with exact orientation of the 2 images and display the resultant images overlaid/blended upon each other and then saved and transmitted in various formats, i.e. .jpeg., .tiff, DICOM, etc.

A reconstruction unit generates a plurality of tomographic images representing a plurality of tomographic planes of a subject by reconstructing a plurality of projection images acquired by performing tomosynthesis imaging. A synthesis unit synthesizes the plurality of tomographic images to generate a composite two-dimensional image. A display control unit displays the composite two-dimensional image on a display, and in a case where one tissue of a first tissue and a second tissue that are present in the subject in association with each other is selected in the displayed composite two-dimensional image, emphasizes and displays the selected one tissue and the other tissue associated with the selected one tissue.

An imaging system, such as a DBT system, capable of providing an operator of the system with information concerning the location, magnitude and direction of motion detected by the system during performance of the scan to enhance image processing. The imaging system provides the motion information to the operator directly in conjunction with the images processed by the imaging system thereby providing the operator with sufficient information for decisions regarding the need for additional images for completing the scan with the imaging system before the patient is discharged, or even before the breast is decompressed.

An image interpretation support apparatus includes an acquisition unit, an acceptance unit, and a specifying unit. The acquisition unit acquires a two-dimensional standard image having information on a breast, and a plurality of tomographic images in a plurality of tomographic planes of the breast which are obtained by tomosynthesis imaging of the breast. The acceptance unit accepts a selection instruction of a location on the two-dimensional standard image. In a case where the selection instruction is accepted in the acceptance unit, the specifying unit specifies a corresponding tomographic plane corresponding to a selected location which is the location of which the selection instruction is accepted in the acceptance unit, from among the plurality of tomographic planes on the basis of the plurality of tomographic images.

A method and apparatus is disclosed, which significantly improves image quality. Specifically, the method disclosed utilizes structures within an image with a known or calculated value, such as a phantom or presumed homogeneous structure, such as an air mass outside of the patient. The method then performs segmentation of the imaging dataset and subsequent measurement of the structure with a known value. The difference between the known value and the measured value is used as a correction factor, which is then applied to the remainder of the dataset where values are not known. This can improve image quality by helping to generate extremely similar gray scale maps over multiple examinations and eliminate artifacts.