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.

A radiation imaging system includes a hardware processor. The hardware processor calculates an exposure index representative value of a radiation image based on the radiation image including a plurality of frame images. The hardware processor is capable of setting a target value of an exposure index differently for each imaging mode.

Disclosed are a bone age estimation method and a bone age estimation apparatus. The bone age estimation method may comprise the steps of: extracting a region of interest including a cervical spine region from a lateral cephalometric radiographic image obtained by imaging a subject's cervical spine, by using a first deep learning model; extracting landmarks from the extracted region of interest by using a second deep learning model; calculating a landmark numerical value on the basis of the extracted landmarks; and providing maturity information of a maturation stage of the cervical spine on the basis of the calculated landmark numerical value.

An information processing system comprises: an information processor capable of transmitting and receiving data; and an estimation unit that estimates dental notations of teeth in each of visible light images and X-ray images of oral cavities input through the information processor and estimates image shooting direction of each of the visible light images and the X-ray images. The information processor adds the dental notations and the image sensing direction to each of the visible light images and the X-ray images as metadata, and manages the visible light images and the X-ray images by associating the visible light images and the X-ray images using the metadata.

The present disclosure relates to an imaging system and method. Specifically, an imaging system comprises: a positioning image acquisition unit, configured to acquire a positioning image of a scanning object; a monitoring slice image acquisition unit, configured to determine a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point; and a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest. The present disclosure can accurately acquire the position of the monitoring slice, and can accurately obtain the target region of interest through segmentation by a cascaded coarse segmentation and fine segmentation.

A method of quantifying a size of a tissue of interest in a animal through a device including a storage, an image processor, and a display by using an X-ray image of the animal is proposed. The proposed method may include storing the X-ray image in the storage, displaying the X-ray image on the display, performing, by the image processor, processes of (i) calculating a reference value for a length of a reference tissue of the animal displayed on the X-ray image, (ii) calculating a value of a length in at least one specific direction of the tissue of interest of the animal displayed on the X-ray image, and (iii) quantifying the size of the tissue of interest as a ratio of the value of the length to the reference value, and displaying the quantified size of the tissue of interest on the display.

Disclosed herein are systems and methods for interactive graphical user interfaces (GUIs) that users (e.g., medical professionals) can use to interact with modelled versions of brains and easily and intuitively analyze deep and/or lateral structures in the brain. A user can, for example, selectively view structures and their connectivity data (e.g., nodes and edges) relative to other structures and connectivity data over a representation of a particular patient's brain. Emphasis can be minimized for certain foreground nodes and edges (e.g., lateral structures) to make it easier for the user to focus on and analyze deeper structures that otherwise can be challenging to visualize and understand. A method can include overlaying deep and non-deep nodes on a representation of a brain, displaying the representation of the brain in a GUI, receiving user input indicating interest in focusing on one or more deep nodes, and taking an action based on the input.

A console of a mobile radiography apparatus includes a CPU that acquires a fluoroscopic image captured by a radiation detector and a visible light image captured by a visible light camera as a moving image related to the capture of the fluoroscopic image of a subject by the mobile radiography apparatus. The CPU extracts a frame to be subjected to a support process, which is a diagnosis support process or an imaging support process, from the moving image. A GPU executes the support process for the extracted frame.

A console includes a CPU and a GPU. Of the CPU and GPU, the CPU acquires an image to be processed, which is an object to be subjected to a support process that is a diagnosis support process or an imaging support process, and distributes a process to any one of the CPU, the GPU, or another GPU to execute the support process according to the content of the support process executed for the image to be processed.

The invention concerns a method for obtaining operating parameters for x-ray imaging a patients maxillofacial region, the method comprising: —identifying a patients maxillofacial first region of interest ROI1, —determining a height of a horizontal plane of said patients maxillofacial first region of interest ROI1 when the patient is in an occlusion position or bites a patient positioning accessory, said horizontal plane passing through the teeth and the bones of the jaw, —acquiring through a slit-shaped collimator window a first set of data relative to said patients maxillofacial first region of interest ROI1 including the horizontal plane using x-ray CBCT imaging and a first x-ray dose, said first set of data being suitable for generating a CBCT slice, —reconstructing the CBCT slice comprising the horizontal plane based on the first set of data relative to the patients maxillofacial first region of interest ROI1, —obtaining operating parameters for an x-ray imaging apparatus based on the reconstructed CBCT slice in view of acquiring a second set of data of a patients maxillofacial second region of interest ROI2 using a second x-ray dose, the first x-ray dose being lower than the second x-ray dose.