A medical imaging system is provided. Imaging detector columns are installed in a gantry to receive imaging information about a subject. Imaging detector columns can extend and retract radially as well as be rotated orbitally around the gantry. The system can automatically adjust setup configuration and an imaging operation based on subject shape estimation information.

A body thickness conversion unit converts a body thickness from a distance image imaged by a distance measurement camera to acquire the body thickness. A setting unit sets a gradation transformation function for use in gradation transformation processing to a radiographic image corresponding to the body thickness. A radiographic image acquisition unit acquires the radiographic image output from a radiation detector in radioscopy. A gradation transformation processing unit starts the gradation transformation processing with the gradation transformation function set by the setting unit.

To provide a technique with which dose indices can be managed for body parts in a range to be imaged on a body part-by-body part basis, an X-ray CT apparatus comprises: image producing unit (51) for producing a scout image (10) of a patient; defining unit (52) for defining a range (11) to be imaged in the scout image (10); segmenting unit (53) for segmenting the range (11) to be imaged into two body parts; identifying unit (54) for identifying which one of body parts (12) included in a human body each of the two body parts corresponds to; and calculating unit (55) for calculating a dose index for each of the two body parts.

Embodiments of the present invention provide a method for identifying a body position of a detection object in medical imaging, a medical imaging system, and a computer-readable storage medium. The method comprises: receiving an image group by a trained deep learning network, the image group comprising a plurality of pre-scan images in a plurality of directions obtained by pre-scanning a detection object; and outputting body position information of the detection object by the deep learning network.

A nuclear medicine (NM) multi-head imaging system is provided that includes a gantry, plural detector units mounted to the gantry, and at least one processor. The at least one processor is operably coupled to at least one of the detector units, and configured to acquire, via the detector units, imaging information. The imaging information includes edge information and interior information. The edge information corresponds to a contour boundary of tissue and the interior information corresponds to an intermediate portion of the tissue. The least one processor is configured to control the detector units to acquire a proportionally larger amount of imaging information for the contour boundary than for the intermediate portion.

A method is for actuating a medical imaging device for generating a second three-dimensional image dataset including a target region in a region of interest of a patient with a functional impairment. The method includes providing a first three-dimensional image dataset including the region of interest of the patient; identifying the target region based on the first three-dimensional image dataset, a partial region of the region of interest with the functional impairment being determined; determining an imaging parameter for generating the second three-dimensional image dataset based on the identified target region; and actuating the medical imaging device based on the imaging parameter for the generation of the second three-dimensional image dataset.

An image processing apparatus processes a kinetic image obtained by kymography of irradiating a subject with radiation to photograph a moving state of the subject. The image processing apparatus includes an acquisition unit, a generator, and an output controller. The acquisition unit acquires a plurality of frame images constituting the kinetic image. The generator generates a first image which is a synthesized still image obtained by synthesizing at least two or more frame images among the plurality of frame images. The output controller that outputs the first image to an output unit. Before generating the first image, the output controller outputs a second image which is a still image based on at least one or more frame images among the plurality of frame images and has an image quality lower than an image quality of the first image.

Embodiments of the present invention provide systems and methods to detect a moving anatomic feature during a treatment sequence based on a computed and/or a measured shortest distance between the anatomic feature and at least a portion of an imaging system.

Method for assessing a position of a patient with respect to an automatic exposure control chamber, AEC chamber (11, 12), for a medical exam, wherein a patient is positioned between an X-ray source and the AEC chamber (11, 12); comprising the steps:—acquiring (S10) an X-ray image (32) of at least part of the patient, wherein the AEC chamber is configured for detecting a radiation dose of the X-ray source;—determining (S20), by the control unit, a position of the AEC chamber (11, 12) with respect to the patient from the acquired X-ray image (32);—determining (S30), by the control unit, an exam protocol performed on the patient dependent on the medical exam to be performed on the patient and determining, by the control unit, an ideal position of the AEC chamber (11, 12) with respect to the patient dependent on the exam protocol, wherein the ideal position relates to a position of the patient relative to the AEC chamber (11, 12), in which the detected radiation dose is reliable for the medical exam; and—determining (S40), by the control unit, a position deviation of the position of the AEC chamber from the ideal position of the AEC chambers; characterized in that determining, by the control unit, the position deviation comprises the steps:—segmenting at least an anatomical structure (21, 22) of the patient in the X-ray image (32) thereby determining at least one segmented anatomical structure (21, 22); and—determining the position deviation dependent on the at least one segmented anatomical structure (21, 22);—determining an overlap of the at least one segmented anatomical structure (21, 22) with the AEC chamber (11, 12); and—determining the position deviation dependent on the determined overlap.

A radiological imaging method including: 2 radiation sources with imaging directions orthogonal to each other, performing vertical scanning of a standing patient along a vertical scanning direction, wherein the radiological method includes at least one operating mode in which: a frontal scout view is made so as to identify a specific bone(s) localization within the frontal scout view, both driving current intensity and voltage intensity modulations of the frontal radiation source, depending on patient thickness and on the identified specific bone(s) localization along the vertical scanning direction, are performed simultaneously, preferably synchronously, and automatically, so as to improve a compromise between: lowering the global radiation dose received by a patient during the vertical scanning, and increasing the local image contrasts of the identified specific bone(s) localization at different imaging positions along the vertical scanning direction, for the frontal image.