An image processing device includes at least one processor. The processor detects a specific structural pattern indicating a lesion candidate structure for a breast in a series of a plurality of projection images obtained by performing tomosynthesis imaging on the breast or in a plurality of tomographic images obtained from the plurality of projection images, synthesizes the plurality of tomographic images to generate a synthesized two-dimensional image, specifies a priority target region, in which the specific structural pattern is present, in the synthesized two-dimensional image, and performs determination regarding a diagnosis of a lesion on the basis of the synthesized two-dimensional image and the priority target region.

A magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry is configured to acquire a first coil sensitivity map and a second coil sensitivity map for a plurality of coils, the second coil sensitivity map being different in phase from the first coil sensitivity map; generate a first image based on the first coil sensitivity map and magnetic resonance data related to the plurality of coils; generate a second image based on the first coil sensitivity map, the second coil sensitivity map, and the first image; and generate a final image from the first image and the second image.

For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

Various systems are provided for non-uniform thickness and/or sampling of slabs of the breast to present DBT acquisitions. A method for generating a patient image as a set of slabs representing an imaged object, the method comprising acquiring a tomosynthesis projection, reconstructing a series of slab images, each slab representing a portion of a breast, and a plurality of slabs of non-uniform thickness and/or non-uniform sampling in a 3D reconstructed domain defined by x-, y-, and z-axes.

For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

According to the method and the apparatus for acquiring a CBCT image based on adaptive sampling according to the exemplary embodiment of the present disclosure, a final CBCT image is acquired by reconstructing a plurality of cone beam computed tomography (CBCT) images acquired based on adaptive sampling so that a dose applied to the target patient may be reduced.

An image processing system comprising includes: an acquisition unit that acquires a plurality of projection images obtained by tomosynthesis imaging in which radiation is emitted from a radiation source to a breast at different irradiation angles and a projection image is captured at each irradiation angle by a radiation detector; a tomographic image generation unit that generates a plurality of tomographic images in each of a plurality of tomographic planes of the breast, from the plurality of projection images; a composite two-dimensional image generation unit that generates a composite two-dimensional image from a plurality of images selected from among the plurality of projection images and the plurality of tomographic images; an information generation unit that generates correspondence relationship information representing a correspondence relationship between a position in the composite two-dimensional image and a depth of a tomographic plane corresponding to the position; a display controller that performs control of causing a display device to display the composite two-dimensional image; an acceptance unit that accepts region information representing a designated region designated with respect to the composite two-dimensional image displayed on the display device; and a designated tomographic image generation unit that generates, as a designated tomographic image, a tomographic image in a tomographic plane at a depth which corresponds to the designated region in the composite two-dimensional image and is specified on the basis of the correspondence relationship information, in a case where the acceptance unit accepts the region information, wherein in a case where the designated tomographic image is generated, the display controller further performs control of causing the display device to display the generated designated tomographic image.

In a method for operating a magnetic resonance (MR) apparatus, MR raw-data is acquired from an acquisition region of a patient for a sampling region of k-space using a MR sequence that employs ultrashort echo times; a first MR image dataset is reconstructed from the MR raw-data of the k-space region; a second MR image dataset is reconstructed from the MR raw-data in a central subregion of the sampling region in k-space; a resolution of the second MR image dataset is interpolated to increase the resolution of the second MR image dataset to a resolution of the first magnetic resonance image dataset; and the first and second MR image datasets are combined to obtain an output MR image dataset.

The present invention seeks to reduce the burden of producing high-resolution tomograms by using an initial scan on a predetermined grid 10 to obtain a minimal set of images, and then regions of interest 20 are identified for further scanning. The further scanning locations 40 are determined by image entropy or gradient found in the previous iteration; such regions are indicative of edges, cracks or complex structure within the region. After each iteration, the level of information (e.g. image entropy or gradient) will decrease relative to the pixel/voxel size. In this way, a more efficient way to scan is achieved.

Systems and methods to estimated mean randoms include acquisition of list mode data describing true coincidences and delay coincidences detected by a positron emission tomography scanner during a scan of an object, determination, for each crystal of the positron emission tomography scanner and for each of a plurality of time periods of the scan, of delay coincidences including the crystal based on the list mode data, determination, each crystal, of determine a singles rate associated with each time period based on the delay coincidences determined for the crystal over the time period, determination, for each time period, of determine estimated mean randoms for each of a plurality of pairs of the crystals based on the singles rate associated with the time period for each crystal of the crystal pair, and reconstruction of an image of the object based on the estimated mean randoms for each time period and the detected true coincidences.