Disclosed are an optimization method and system for a personalized contrast test based on deep learning, in which a contrast medium optimized for each individual patient is injected to implement optimum pharmacokinetic characteristics in a process of acquiring a medical image, the method including: obtaining drug information of a contrast medium and body information of a patient, in a contrast enhanced computed tomography (CT) scan; generating injection information of the drug to be injected into the patient by a predefined algorithm based on the drug information and the body information; injecting the drug into the patient based on the injection information, and acquiring a medical image by scanning the patient; and amplifying a contrast component in the medical image by inputting the medical image to a deep learning model trained in advance.

For patient model estimation from surface data in a medical system, a stream or sequence of depth camera captures are performed. The fitting of the patient model is divided between different times or parts of the sequence, using the streaming capture to distribute processing and account for patient movement. Less manual involvement may be needed due to the regular availability of image captures. Subsequent fitting may benefit from previous fitting.

Methods and systems are provided for controlling an x-ray imaging system. In one embodiment, a method for an x-ray imaging system includes acquiring, with the x-ray imaging system, a first image as an x-ray tube current of the x-ray imaging system is ramping to a target x-ray tube current, determining a corrected brightness of the first image, the corrected brightness including a measured brightness of the first image corrected by a feedback x-ray tube current relative to the target x-ray tube current, and updating the target x-ray tube current based on the corrected brightness of the first image.

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes upon a first contrast injection, processing acquired projection data of a subject to measure a contrast signal of the first contrast injection, estimating a time when a venous return to baseline (VRTB) of the first contrast injection is to occur based on the contrast signal, and commanding initiation of a second contrast injection at the estimated time.

Disclosed is an X-ray image processing apparatus including a data obtaining unit generating first to N-th images indicating an internal structure of an object and an image processing unit receiving the first to N-th images from the data obtaining unit, detecting a movement of the object, and generating a final image from the first to N-th images based on the movement of the object. The data obtaining unit actively controls an X-ray pulse irradiated based on the movement of the object.

An X-ray diagnosis apparatus according to an embodiment includes an imaging system and a processing circuitry. The imaging system is configured to perform an imaging process on an examined subject by emitting X-rays onto the examined subject. The processing circuitry is configured to execute the imaging process on the examined subject by controlling the imaging system in an imaging mode selected from between an X-ray fluoroscopy imaging mode for obtaining an X-ray projection fluoroscopic image of the examined subject and a Computed Tomography (CT) imaging mode for obtaining a CT image of the examined subject and is configured to perform a super resolution process corresponding to the imaging mode.

A radiographic imaging system includes a radiographic detector having a scanning device to obtain patient identifying information. The detector is programmed to display the patient identifying information in human readable form and to access additional information about the patient stored in networked databases.

A radiography control apparatus includes a storage; a communicator that obtains irradiation information from an irradiation apparatus; and a hardware processor that: upon determining that the communicator obtains the irradiation information before a specific timing, executes image processing based on the irradiation information obtained from the communicator; and upon determining that the communicator does not obtain the irradiation information before the specific timing, executes the image processing based on information stored in advance in the storage.

A radiography system having multiple digital radiographic detectors captures an image in each of the detectors when the x-ray source is fired. The detectors evaluate the captured images and a controller prioritizes the captured images according to the evaluations to determine which captured images are forwarded and in what order. At least one of the DR detectors captures a suitable diagnostic x-ray image.

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.