An artificial intelligence (AI) lead marker detection system is employed either as a component of the X-ray imaging system or separately from the X-ray imaging system to scan post-exposure X-ray images to detect and insert various lead markers, to digitize information provided by the type and location of the lead marker, and to employ the marker information in different X-ray system workflow automations. The marker information obtained by the AI lead marker detection system can also provide useful data for use in downstream clinical and quality applications apart from the X-ray system, such as either AI or non-AI analytical applications.

Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.

A method for determining a patient radiation and diagnostic study score associated with past diagnostic radiologic tests. In light of the obvious benefits of diagnostic radiology, the risks inherent in its use are often overlooked. Ionizing radiation, which is a component of much, but not all, diagnostic radiology, carries with it a small risk of inducing cancer every time it is used. The present method for determining a patient radiation and diagnostic study score provides right time, right place, and right format radiology information to assist providers in their medical decision-making. With greater awareness of recent study history, and individually contextualized risk and benefit considerations, providers are more likely to decrease their overall usage of diagnostic radiology and better counsel their patients on future risk.

A radiographic image capturing apparatus includes: a two-dimensional array of radiation detecting elements that generate one or more electric charges in proportion to a dose of incident radiation; and a control unit that performs control, at least, to read the electric charges from the radiation detecting elements and generate image data. An image capturing mode is switchable between a controlled mode in which the radiographic image capturing apparatus is under control of an external console and a stand-alone mode in which the radiographic image capturing apparatus autonomously performs image capturing without the control of the console. When the image capturing mode is switched to the controlled mode or the stand-alone mode, the control unit changes its own process so as to meet the switched image capturing mode.

There is provided an x-ray detector system including a photon-counting x-ray detector for detecting x-ray radiation from an x-ray source, and a coincidence detection system configured to determine and/or obtain information about the radiation incident on the x-ray detector based on information about the time of photon interactions in the x-ray detector and information about the location of the x-ray source in relation to the x-ray detector. There is also provide an x-ray imaging system including such an x-ray detector system, as well as a corresponding coincidence detection system and a corresponding method.

A computed tomography (CT) image display system (10) includes a mapping unit (32), which receives reconstructed volumetric image data (28) of a subject with values in Hounsfield Units (HU), and a set of reference settings (34), adjusts the set of reference settings (34) to an adjusted set of reference settings (35) according to a pixel-value distribution analysis of the HU values selected according to the reference settings (34), and maps the values in HU to gray scale values according to the adjusted reference settings (35).

The present invention relates to image contrast enhancement. In order to provide improved and stable contrast enhancement for each acquired image, a device (10) for image contrast enhancement of an X-ray image of a vascular structure is provided. The device (10) comprises an input unit (12) and a processing unit (14). The input unit is configured to provide an acquired X-ray image of a vascular structure with a contrast injection. The contrast injection is performed with a current contrast injection setting having at least one contrast injection parameter. The input unit is further configured to provide a generic vascular structure. The input unit is also configured to provide the current contrast injection setting. The processing unit is configured to determine an assessed contrast parameter for the generic vascular structure based on the current contrast injection setting. The processing unit is further configured to determine an adapted image contrast enhancement for the generic vascular structure based on the assessed contrast parameter. The processing unit is also configured to apply the adapted image contrast enhancement to the acquired X-ray image in order to generate a contrast-enhanced X-ray image.

A radiographing system and a radiographing method capable of improving the image quality of a long-sized image by appropriately correcting scattered radiation are disclosed. The radiographing system includes a plurality of radiation detecting apparatuses that can detect radiation and output radiographic images, a composition processing unit configured to generate a long-sized image by composing a plurality of radiographic images acquired from the plurality of radiation detecting apparatuses, and a scattered radiation correction unit configured to perform processing for correcting scattered radiation for a radiographic image output from at least one of the plurality of radiation detecting apparatuses.

The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the methods to initialize a gantry angle of a medical device of a new scan. The systems may also perform the methods to obtain a pre-set gantry angle associated with the new scan. The systems may also perform the methods to determine whether the initialized gantry angle is consistent with the pre-set gantry angle. The systems may also perform the methods to adjust the initialized gantry angle of the medical device to the pre-set gantry angle in response to a determination that the initialized gantry angle is inconsistent with the pre-set gantry angle.

The invention provides, in some aspects, a system for implementing a rule derived basis to display image sets. In various embodiments of the invention, the selection of the images to be displayed, the layout of the images, as well as the rendering parameters and styles can be determined using a rule derived basis. The rules are based on meta data of the examination as well as image content that is being analyzed by neuronal networks. In an embodiment of the present invention, the user is presented with images displayed based on their preferences without having to first manually adjust parameters.