When performing processing for eliminating scattered radiation included in radiation transmitted through a subject on a radiation image captured by irradiating the subject with radiation, an imaging condition acquisition unit acquires imaging conditions, and a distance information acquisition unit acquires distance information representing the distance between the subject and a radiation detector. A scattered radiation information acquisition unit acquires scattered radiation component information representing a scattered radiation component of radiation included in the radiation image based on at least the imaging conditions, and a correction unit corrects the scattered radiation component information based on the distance information. A scattered radiation elimination unit performs scattered radiation elimination processing of the radiation image based on the corrected scattered radiation component information.

The disclosure relates to an X-ray machine and a method for the operation of the X-ray machine for generation of a three-dimensional reconstruction of a body part. The method includes supplying a first X-ray capture of the body part; an automatic analysis of the first X-ray capture; an evaluation of the suitability of at least one further capture angle by the computing unit in the light of a result from the automatic analysis; setting of a second capture angle on the X-ray machine, either automatically by the computing unit or manually by an operator; a manually controlled approach to the set second capture angle by a capture unit of the X-ray machine; and capture of the second X-ray capture from the approached second capture angle by the capture unit to provide an improved method for operation of an X-ray machine for generation of a three-dimensional reconstruction of a body part.

In one embodiment, a medical image diagnostic apparatus includes a memory circuit; a display; and processing circuitry configured to acquire medical images of an object at respective time phases, detect respective positions of a treatment device in the medical images, acquire biological information from the medical images, compute biological indexes indicating degree of a treatment effect for the respective time phases based on the biological information, cause the memory circuit to store the biological indexes and the respective positions of the treatment device in the medical images such that each biological index is associated with a position of the treatment device in a medical image, from which the biological information corresponding to the each biological index is acquired, for the respective time phases, and cause the display to display each position of the treatment device and a biological index associated with the each position of the treatment device.

A method, system and program product are provided for planning an intervention procedure in a body lumen. A CT scan of the body lumen is performed. A virtual rendering is created of the inside of the body lumen corresponding to an interventional camera image. Then a virtual tape corresponding to a planned path for the intervention procedure is projected onto a wall of the body lumen. The virtual tape is projected onto the lumen wall, which is relatively distant from the camera point on the virtual rendering, so the tape does not appear to oscillate like a central thread. Also, since the virtual tape is located on the lumen wall, it does not occlude the center of the lumen, allowing a user to better visualize the lumen during planning, during fly through, and even during an actual intervention.

Systems and methods are provided for simulating medical images based on previously acquired data and a defined imaging protocol. In an example, a method includes generating a simulated medical image of a patient via virtual imaging based on previously obtained medical images and a scan intent of the virtual imaging, and outputting an imaging protocol based on a virtual protocol of the virtual imaging.

Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings. Also described is a graphical navigation tool for optimized CAD-assisted viewing of the data volume, comprising a plurality of CAD indicator icons running near and along a slice ruler, each CAD indicator icon spanning a contiguous segment of the slice ruler and corresponding in depthwise position and extent to a subset of image slices spanned by the associated CAD finding, each CAD indicator icon including at least one single-slice highlighting mark indicating a respective image slice containing viewable image information corresponding to the associated CAD finding.

An imaging control apparatus includes a hardware processor that acquires a first imaging condition set as a imaging condition for a preliminary exposure performed prior to a main exposure that performs an exposure of radiation on a subject, and the hardware processor performs control based on compatibility of the acquired first imaging condition and a second imaging condition input as an imaging condition for the subject.

The invention relates to a method for identifying an ischaemic region (O.sub.n) of an organ based on anatomical data, wherein the ischaemic region (O.sub.n) is 0.2 to 1 part of the stenosed region at risk (O.sub.z) downstream of the threshold point (P.sub.prog). The size of the ischaemic region (O.sub.n) is proportional to the difference between the indicative value at the threshold point (P.sub.prog) and at the measuring point (P.sub.pom) in the artery. The invention also relates to a system for identifying organ ischaemia, a computer program for identifying organ ischaemia and a computer program product.

Disclosed is a system and a method for determining a brock score. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A nodule may be detected on one or more of the plurality of slices. A region of interest associated with the nodule may be identified using an image processing technique. Further, a nodule segmentation may be performed to remove an area surrounding the region of interest. Subsequently, a plurality of characteristics associated with the nodule may be identified automatically using a deep learning model. Finally, a brock score for the patient may be determined based on the plurality of characteristics and demographic data of the patient.

A method for classifying the degree of healthiness from chest radiographs comprises inputting image data with a medical imaging acquisition system or from individual's computers or smartphones or cloud storage devices. The image data is transmitted from the medical imaging acquisition system or from the computers or storage device to a computer-aided-analysis (CAA) system via the Internet and an archive/review station. Classification results are generated by processing the image data to perform lung segmentation and generate various radiomics, perform classification of radiomics. The classification results are transmitted from the CAA system to archive/review servers or the computers/smartphones via the Internet. The classification results are used to retrieve the associated clinical, wellness, and health knowledge from the database to form composite data. The composite data is sent to end users including patients, healthcare providers, consultants, and other authorized personnel and displayed by the archive/review system or the computers/smartphones.