A method for generating a temporary image includes acquiring first data of an examination object, and providing at least one initialization image by applying a first processing function and/or a second processing function to the first data. The first processing function and the second processing function are at least partially different. The at least one initialization image is visualized. Further data of the examination object is acquired. Result data is provided by applying the first processing function to the further data. A result image is provided by applying the second processing function to the further data and/or the result data. The result data is provided before the result image. The temporary image is generated based on the result data and the at least one initialization image. The temporary image is visualized, and the result image is visualized.

The disclosed 2-D resistance tomographic imaging method optimizes computation speed for performing electrical impedance tomography using a model-space with a minimal number of orthonormal polynomial basis functions to describe discernable features in the 2-D resistance tomographic image, determining a minimal number of contacts to take fewer measurements than available information based on the number of basis functions, selecting a subset of rows of a matrix of calculated sensitivity coefficients to form a square Jacobian matrix for a linearized forward problem to be solved and inversion of the linear forward problem, and solving an inverse problem based on the square Jacobian matrix by performing at least one iteration of a Newton's method solve.

Various methods and systems are provided for stationary CT imaging. In one embodiment, a method for an imaging system includes activating an emitter of a plurality of emitters of a stationary distributed x-ray source unit to emit an x-ray beam toward an object within an imaging volume, where the x-ray source unit does not rotate around the imaging volume, receiving the x-ray beam at a subset of detector elements of a plurality of detector elements of one or more detector arrays, sampling the plurality of detector elements to generate a total transmission profile, an attenuation profile, and a scatter measurement, generating a scatter-corrected attenuation profile by entering the total transmission profile, the attenuation profile, and the scatter measurement as inputs to a model, and reconstructing one or more images from the scatter-corrected attenuation profile.

A medical image processing device according to an embodiment includes a processing circuit. The processing circuit is configured: to obtain an electron density function of an examined subject and information about a nuclide administered for the examined subject; to calculate a positron range kernel related to the examined subject, on the basis of the electron density function and the nuclide; and to reconstruct a Positron Emission Tomography (PET) image of the examined subject, on the basis of the positron range kernel.

A method, system, and computer readable medium to perform nuclear medicine scatter correction estimation, sinogram estimation and image reconstruction from emission and attenuation correction data using deep convolutional neural networks. In one embodiment, a Deep Convolutional Neural network (DCNN) is used, although multiple neural networks can be used (e.g., for angle-specific processing). In one embodiment, a scatter sinogram is directly estimated using a DCNN from emission and attenuation correction data. In another embodiment a DCNN is used to estimate a scatter-corrected image and then the scatter sinogram is computed by a forward projection.

A medical image processing apparatus according to the present invention includes a moving direction identification unit configured to identify a moving direction of an observed region of a subject depicted in a plurality of volume data collected by a medical diagnostic apparatus, each volume data of the plurality of volume data being collected for each time phase; and a display direction setting unit configured to set a display direction of the plurality of volume data based on the identified moving direction.

The invention concerns a computer implemented method for enhancing the display of features of interest in a 3D image of an anatomical region of a patient, the method comprising: a) obtaining a 3D image of an anatomical region of a patient; b) projecting the 3D image according to a first point of view for obtaining a first 2D image; b1) projecting the 3D image according to a second point of view for obtaining a second 2D image of said anatomical region; the first point of view being transverse to the second point of view and the first 2D image being transverse to the second 2D image; the method comprising c) determining from the first 2D image a first 3D region of interest; d) projecting said 3D region of interest according to the second point of view for obtaining a third 2D image.

A method may include obtaining a first acquisition time period related to a scan of a first modality performed on an object. The method may also include obtaining one or more second acquisition time periods related to a scan of a second modality performed on the object. The method may also include obtaining, based on the first acquisition time period and the one or more second acquisition time periods, target data of the object acquired in the scan of the first modality. The method may also include generating one or more target images of the object based on the target data.

A 3D segmentation editing system accurately updates the segmentations of non-edited images of a 3D scan to reflect segmentation edits applied to other images of the scan using localized interpolation. In one or more embodiments, rather than replacing the entireties of the initial segmentations of non-edited images with newly generated, globally interpolated segmentations, the segmentation editing system applies a distance-based criterion to the interpolation of segmentation edits, such that only portions of the segmentations of the non-edited images that correspond to areas that were manually annotated in the edited images will be modified by the interpolation process, and the initial segmentations will be maintained outside of those edited areas. In this way, the system merges the interpolated segmentation with the initial segmentation for each non-edited image in a manner that mitigates unreliable modifications to the initial segmentations in areas far from the edited areas.

A system, method, and apparatus for displaying a fused reconstructed image with a multidimensional image are disclosed. An example imaging system receives a selection corresponding to a portion of a displayed multidimensional visualization of a surgical site. At the selected portion of the multidimensional visualization, the imaging system displays a portion of a three-dimensional image which corresponds to the selected multidimensional visualization such that the displayed portion of the at least one of the three-dimensional image or model is fused with the displayed multidimensional visualization.