A medical image diagnostic apparatus of embodiments includes an acquisition unit and a processing unit. The acquisition unit acquires physical characteristics data of an examination subject and information about an imaging target portion. The processing unit is configured to output bed position information about the examination subject according to the acquired physical characteristics data and the information about the imaging target portion by inputting the physical characteristics data and the information about the imaging target portion acquired by the acquisition unit to a trained model which is configured to output bed position information on the basis of physical characteristics data and information about a imaging target portion.

Provided in the present application are an operating method of a medical imaging system and a medical imaging system. The operating method of the medical imaging system includes performing exposure setting of a next object during image processing of medical image data of a current object.

A framework for sensor-based patient treatment support. In accordance with one aspect, one or more sensors are used to acquire sensor data of one or more objects of interest. The sensor data is then automatically interpreted to generate processing results. One or more actions may be triggered based on the processing results to support treatment of a patient, including supporting medical scanning of the patient.

A CPU acquires a radiographic image obtained by imaging an imaging region where a patient is present, with a radioscopy apparatus using radiation emitted from a radiation source and applied to an irradiation field adjusted by a collimator. The CPU specifies a structure image that is included in the radiographic image and represents a structure of a specific shape having transmittance of radiation lower than the patient, based on the specific shape. The CPU executes image processing corresponding to the structure image on a patient image region imaged by a radioscopy apparatus in a case where an irradiation field excluding a position of the structure is set as the irradiation field, in a region in the radiographic image.

A console includes a CPU as at least one processor. The CPU acquires a radiographic image obtained by imaging an imaging region where a patient is present, with a radioscopy apparatus. The CPU specifies a structure image that is included in the radiographic image and represents a structure of a specific shape having transmittance of radiation lower than the patient, based on the specific shape. The CPU executes image processing corresponding to the structure image to the radiographic image.

A method for collision detection of a radiotherapy equipment includes determining a collision-prone position of a target to be detected; and determining whether the target to be detected having a risk of collision with the radiotherapy equipment according to collision risk analysis data that is capable for reflecting a magnitude relationship between a first distance and a second distance. The first distance is a distance from the collision-prone position to a reference position of the radiotherapy equipment, and the second distance is a minimum distance between a target component of the radiotherapy equipment and the reference position. A distance between the reference position and the target component of the radiotherapy equipment is relatively constant when the target component of the radiotherapy equipment rotates around a rotation axis.

Various methods and systems are provided for a set of devices for an imaging system. In one example, the set of devices includes a first device configured to obtain a first set of image data and a second device configured to obtain a second set of image data along at least one dimension. The first and second sets of data may be compiled to generate a field-of-view (FOV) preview.

An X-ray imaging device that includes an X-ray source, an X-ray sensor that acquires intensity information of X-rays, a distance sensor that obtains distance information to a surface of an imaging object, and an information processing device that obtains imaging information by using the intensity information and the distance information. The information processing device includes an extraction unit that extracts information used in generation of the imaging information from the intensity information by using at least the distance information, and a reconstruction unit that generates the imaging information by using the intensity information.

The disclosure relates to a system and method for calibrating a medical system. The method may include one or more of the following operations. Projection data of a phantom comprising a plurality of markers may be acquired from an imaging device, at a plurality of angles of a source of the imaging device. A plurality of projection matrices of a first coordinate system relating to the phantom and a transformation matrix between the first coordinate system and a second coordinate system relating to the imaging device may be determined based on the projection data of the phantom and coordinates of the plurality of markers in the first coordinate system. A plurality of projection matrices of the second coordinate system may be determined based on the plurality of projection matrices of the first coordinate system and the transformation matrix.

An N-M tomography system comprising: a carrier for the subject of an examination procedure; a plurality of detector heads; a carrier for the detector heads; and a detector positioning arrangement operable to position the detector heads during performance of a scan without interference or collision between adjacent detector heads to establish a variable bore size and configuration for the examination. Additionally, collimated detectors providing variable spatial resolution for SPECT imaging and which can also be used for PET imaging, whereby one set of detectors can be selectably used for either modality, or for both simultaneously.