A method for evaluating image quality is provided. The method may include: obtaining an image, the image including a plurality of elements, each element of the plurality of elements being a pixel or voxel, each element having a gray level; determining, based on a maximum gray level of the plurality of elements, one or more thresholds for segmenting the image; determining one or more sub-images of a region of interest by segmenting, based on the one or more thresholds, the image; and determining, based on the one or more sub-images of the region of interest, a quality index for the image.

A method generates and uses a correspondence probability map for visualization of two image datasets. The method includes obtaining two image datasets and obtaining an image registration algorithm that includes a correspondence model. The method further includes registering the two image datasets to generate a displacement vector field and generating a correspondence probability map, using the correspondence model, based on the two image datasets. The method further includes using the correspondence probability map to visualize the two image datasets. A computing system (120) includes a memory device (124) configured to store instructions, including a visualization module (130), and a processor (122) that executes the instructions, which causes the processor to generate and employ a correspondence probability map for visualization of two image datasets.

A method for movement compensation during CT reconstruction, comprises calculating slice images. The calculating slice images comprising: selecting an initial movement state; calculating a reference voxel position in relation to the initial movement state; calculating a column image position of a voxel; ascertaining a changed movement state of the voxel at the column image position; calculating a changed voxel position in relation to the changed movement state; calculating a changed image position of the voxel; and using an image value of the intermediate image at the changed image position for back projection to calculate the slice images.

The present disclosure is related to systems and methods for motion signal recalibration. The method includes obtaining a motion signal of a subject based on positron emission tomography (PET) data of the subject. The motion signal may represent a plurality of motion cycles. The method includes determining a distribution of the motion cycles. The distribution of the motion cycles may indicate a probability that each motion cycle of the plurality of motion cycles corresponds to an actual motion cycle. The method includes correcting the motion cycles of the motion signal based on the distribution of the motion cycles to obtain corrected motion cycles. The method includes reconstructing a PET image by gating the PET data based on the corrected motion cycles.

A method of reconstructing a tomography image and a tomography apparatus configured to reconstruct a tomography image are provided. Tomography data corresponding to a moving object is acquired by performing a tomography scan on the object, and a tomography image is reconstructed using prior images obtained based on the acquired tomography data.

A method and a system for correcting and reconstruing a plurality of projection images based on detected patient motion. The method includes obtaining a plurality of projection images generated by a scanner. Each of the plurality of projection images includes at least three markers. Each of the at least three markers has a measured three-dimensional position and measured positions on a detector panel of the scanner in a first dimension and a second dimension. The method further includes determining a position error vector for each of the plurality of projection images based on the at least three markers in each of the plurality of projection images, the position error vector defining patient motion in the projection image. The method finally includes combining each position error vector for each of the plurality of projection images with geometric parameters associated with the scanner to derive a projection matrix for each of the plurality of projection images, and generating reconstructed images corrected for patient motion from the plurality of projection images and the projection matrix for each of the plurality of projection images.

A medical image display apparatus for displaying medical images of a lung on a screen includes a network interface receiving positional information of a navigation instrument from a position sensor of the navigation instrument, a video stream from an optical sensor of the navigation instrument, and medical images from an imaging device, a memory storing a plurality of medical images and instructions, a processor executing the instructions, and a display dynamically displaying images on the screen. The instructions, when executed by the processor, cause the medical image display apparatus to determine whether status information indicates a pathway reviewing mode, a target management mode, or a navigation mode. The instructions, when executed by the processor, further cause the display to dynamically select and update images, which are displayed on the screen, among the plurality of medical images based on the positional information of the navigation instrument and status information.

A dynamic CT imaging method is provided. With the method, projection measurement data for a region of an examination object to be imaged is captured, with simultaneous correlated capture of the respiratory movement of the examination object. A phase of the respiratory movement, for which image data is to be reconstructed, is selected. Phase projection measurement data assigned to the selected phase is also determined. Transition regions of partial images of the region to be imaged between successive respiratory cycles are then reconstructed on a trial basis based on a part of the phase projection measurement data, and a standard reconstruction is performed using parts of the phase projection measurement data for each of the successive respiratory cycles assigned to an optimum reconstruction.

The invention provides, in some aspects, a system for implementing a rule derived basis to display volumetric image sets. In various embodiments of the invention, the selection of the images to be displayed, the generation of the 3-D volumetric image from measured 2-D images including the rendering parameters and styles, the choice of viewing directions and 2-D projection images based on the viewing directions, the layout of the projection images, and the formation of a video can be determined using a rule derived basis. In an embodiment of the present invention, the user is presented with sequential images making up a video displayed based on their preferences without having to first manually adjust parameters. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions when reviewing Digital Breast Tomosynthesis and other volumetric mammography images.

Diagnostic systems and methods for measuring and assessing spine instability are described which involve reconstruction of a dynamic three-dimensional model of a patient's spine moving through a range of motions, and optimization of the three-dimensional model to provide relative three-dimensional position and orientation data for each vertebra in the spine throughout the motion. Vertebral movement is thereby accurately measured and instability determined for presentation in a user-friendly form.