A system can have an x-ray source that generates a series of individual x-ray pulses for multi-energy imaging. A first x-ray pulse can have a first energy level and a subsequent second x-ray pulse in the series can have a second energy level different from the first energy level. An x-ray imager can receive the x-rays from the x-ray source and can detect the received x-rays for image generation. A generator interface box (GIB) controls the x-ray source to provide the series of individual x-ray pulses and synchronizes detection by the x-ray imager with generation of the individual x-ray pulses. The GIB can control x-ray pulse generation and synchronization to optimize image generation while minimizing unnecessary x-ray irradiation.

An analysis device includes a controller. The analysis device receives moving images sent from a plurality of imaging devices, analyzes the received moving images, and sends an analysis result of a moving image to, among a plurality of display devices, a display device which has made a request to display so that the display device displays the analysis result. The controller controls a processing order of reception processes and analysis processes on moving images sent from the imaging devices according to degrees of priority preset for the respective imaging devices.

An image analyzer includes a hardware processor that acquires an image obtained by performing still image capturing or dynamic imaging of a subject at least while wearing a ventilator or within a predetermined time after removing the ventilator and generates information regarding presence or absence of complications related to the ventilator of the subject based on the acquired image.

A method for making a polymer with a porous layer from a solid piece of polymer is disclosed. In various embodiments, the method includes heating a surface of a solid piece of polymer to a processing temperature and holding the processing temperature while displacing a porogen layer through the surface of the polymer to create a matrix layer of the solid polymer body comprising the polymer and the porogen layer. In at least one embodiment, the method also includes removing at least a portion of the layer of porogen from the matrix layer to create a porous layer of the solid piece of polymer.

To provide an X-ray CT apparatus and a scanning method that can scan a corpse efficiently, a death mode is selected and input to the CPU of an image processing device by performing a mouse-click or touch operation on any of buttons on a death mode selection window. The CPU obtains scanning conditions from the storage unit according to the input death mode. In a charred body mode, scanning conditions are defined in advance to perform high-resolution scanning for the pelvis portion and standard scanning for the other entire body for sex estimation. The sex estimation process estimates the corpse's sex based on the pelvis portion shape and outputs the results. In a drowned body mode, scanning conditions are defined in advance to perform high-resolution scanning for the lung field and standard scanning for the other entire body to measure a water amount in the lung.

A computer system that segments a colon for a computed tomography colonography (CTC) is described. During operation, the computer system accesses imaging data having a spatial resolution. Then, the computer system identifies the colon lumen based on probabilities for different tissue classes in the imaging data. Moreover, the computer system segments the colon into subsegments based on an articulated object model that fits a tortuosity of the colon along a centerline of the colon, where the articulated object model includes values of an orthonormal basis set, curvature and torsion along the centerline, and where boundaries between subsegments are based on the curvature and the torsion. For example, a given boundary between a pair of subsegments may corresponds to or may be related to a minimum value of the curvature and a maximum value of the torsion over a length of the colon.

A diagnostic gage (12) that can be implemented into a tissue-simulating headform (17) or other anthropomorphic surrogate test device (11) as a means of determining the internal strain within the test surrogate. One embodiment of the gage consists of a matrix or substrate embedded with x-ray contrast agents (14) and a series of holes within the substrate (15) that provide contrasting markers in an x-ray image and a means of closely coupling the gage to the test specimen. The relative motion of these contrasting markers can be monitored using x-ray fluoroscopy equipment (e.g., source (10) and detector (13)). This gage provides a means of determining the internal strain within a headform surrogate model for the purpose of evaluating the performance of helmets in terms of reducing the occurrence of concussion among other biomechanical injuries from trauma.

Disclosed is a system and a method for determining a brock score. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A nodule may be detected on one or more of the plurality of slices. A region of interest associated with the nodule may be identified using an image processing technique. Further, a nodule segmentation may be performed to remove an area surrounding the region of interest. Subsequently, a plurality of characteristics associated with the nodule may be identified automatically using a deep learning model. Finally, a brock score for the patient may be determined based on the plurality of characteristics and demographic data of the patient.

A method for classifying the degree of healthiness from chest radiographs comprises inputting image data with a medical imaging acquisition system or from individual's computers or smartphones or cloud storage devices. The image data is transmitted from the medical imaging acquisition system or from the computers or storage device to a computer-aided-analysis (CAA) system via the Internet and an archive/review station. Classification results are generated by processing the image data to perform lung segmentation and generate various radiomics, perform classification of radiomics. The classification results are transmitted from the CAA system to archive/review servers or the computers/smartphones via the Internet. The classification results are used to retrieve the associated clinical, wellness, and health knowledge from the database to form composite data. The composite data is sent to end users including patients, healthcare providers, consultants, and other authorized personnel and displayed by the archive/review system or the computers/smartphones.

Apparatus, systems, and methods to process an interior region of interest in an anatomy image via a user interface are disclosed. An example apparatus is to at least: process an image to reduce noise in the image; identify at least one of an organ of interest or a region of interest in the image; analyze values in at least one of the organ of interest or the region of interest; process the at least one of the organ of interest or the region of interest based on the analyzed values to provide a processed object in the at least one of the organ of interest or the region of interest; and display the processed object for interaction via an interface, the display to include exposing at least one of the organ of interest or the region of interest.