Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.

Digital Breast Tomosynthesis allows for the acquisition of volumetric mammography images. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions. In an embodiment a method for displaying volumetric images comprises computing a projection image using a viewing direction, displaying the projection image and then varying the projection image by varying the viewing direction. The viewing direction can be varied based on a periodic continuous mathematical function. A graphics processing unit can be used to compute the projection image and bricking can be used to accelerate the computation of the projection images.

An image acquisition unit acquires a plurality of projection images corresponding to a plurality of radiation source positions in a case of tomosynthesis imaging. A reconstruction unit reconstructs all or a part of the plurality of projection images to generate a tomographic image on each of a plurality of tomographic planes of a subject. A feature point detecting unit detects at least one feature point from a plurality of the tomographic images. A positional shift amount derivation unit derives a positional shift amount between the plurality of projection images with the feature point as a reference on a corresponding tomographic plane corresponding to the tomographic image in which the feature point is detected. The reconstruction unit reconstructs the plurality of projection images by correcting the positional shift amount to generate a corrected tomographic image.

A method, system, and computer program product for disease simulation and identification in medical images. The method generates a set of synthetic projection images from first medical imaging data of a first imaging type. Second medical imaging data of a second imaging type is projected onto the set of synthetic projection images. One or more synthetic images of the set of synthetic projection images are modified to generate a set of modified projection images based on the second medical imaging data. The method generates an imaging model based on the set of modified projection images. The method obtains a patient medical image of the first imaging type and identifies an attribute of interest on the patient medical image based on the imaging model.

A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.

A method is for determining orthogonal slice image data sets of a tomosynthesis recording of an examination region. In an embodiment, the method includes recording a tomosynthesis recording and reconstructing a plurality of first slice image data sets in a first plane based upon the tomosynthesis recording; selecting a first slice image data set from the plurality of first slice image data sets; marking a microcalcification or a region of interest with a punctiform marking in the first slice image data set selected; and determining, from a second slice image data set in a second plane orthogonal to the first plane, and from a third slice image data set in a third plane orthogonal to the first plane and the second plane, wherein a point of intersection of the first plane, the second plane and the third plane includes the punctiform marking.

A method and image generating unit are for capturing at least two tomosynthesis images of an object undergoing examination offset by an angle of examination. In an embodiment the method includes a first and second capture of a plurality of first projection images along the linear trajectory, via X-ray source and the X-ray detector capturing the object undergoing examination in a first plane of capture and in a second capture plane different from the first capture plane, the first and second capture planes forming the angle of examination; determination of a first slice image dataset based upon the first projection images and of a second slice image dataset based upon the second projection images; and registration of the first slice image dataset and the second slice image dataset.

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.

Provided are an image processing apparatus, an image processing method, and a non-transitory recording medium storing an image processing program that can further improve the quality of a pseudo two-dimensional image generated using tomographic images. A control unit of a console acquires a plurality of projection images obtained by irradiating a subject disposed between a radiation source and a radiation detector with radiation emitted from the radiation source at different irradiation angles and capturing the radiation with the radiation detector at each of the irradiation angles. In addition, the control unit generates a pseudo two-dimensional image by reducing a weight of a noise pixel which is more affected by noise than a pixel of an object of interest or excluding the noise pixel, using a plurality of tomographic images reconstructed from the plurality of projection images.

The present disclosure provides a method for determining a malignancy likelihood score for breast tissue of a patient. The method includes receiving a plurality of two-dimensional images of the breast tissue, the two-dimensional images being derived from a three-dimensional image of the breast tissue, for each two-dimensional image, providing the two-dimensional image to a first model including a first trained neural network, and receiving a number of indicators from the first model, each indicator being associated with a two-dimensional image included in the plurality of two-dimensional images, generating a synthetic two-dimensional image based on the number of indicators and at least one of the plurality of two-dimensional images, providing the synthetic two-dimensional image to a second model including a second trained neural network, receiving a malignancy likelihood score from the second model, and outputting a report including the malignancy likelihood score to at least one of a memory or a display.