Abstract:
A system of automatic optimization of image quality of an image sensor includes an image learning data generation unit generating an image tuning knowledge database, which includes pairs of a plurality of sets of values of a plurality of parameters and a plurality of sets of image quality evaluation scores for a plurality of image quality evaluation items for evaluating a quality of each of a plurality of images generated by the image sensor, using an image tuning database sampling module, an image signal processor modeling unit generating a machine learning model, for each image, for automatically optimizing the quality of each image, and an image sensor image quality optimization unit automatically controlling values of some of the plurality of parameters based on a user's image quality selection and the machine learning model. The image quality evaluation scores are produced by a distributed camera simulation system including servers.
Abstract:
Disclosed are an X-ray imaging apparatus that captures one or more images of an inner part of the human body or the like, and a method for controlling the apparatus. In particular, an imaging system includes an X-ray generator which is configured to irradiate a target object with X-rays, a detector which is configured to detect X-rays which are emitted at a plurality of times and which have propagated through the target object, a driver which is configured to change a position of the X-ray generator or the detector, an image processor which is configured to generate a plurality of X-ray images from the detected X-rays and to compare the plurality of X-ray images in order to generate at least one difference image, and a controller which is configured to detect tissues which constitute the target object based on the at least one difference image.
Abstract:
A medical image processing apparatus may include an image data generator to generate image data corresponding to at least two different energy bands by using an X-ray, an ROI processor to highlight a tissue of interest classified based on a predetermined characteristic to be distinguished from a normal tissue, in the generated image data, and a display to alternately display first image data in which the tissue of interest is not highlighted, and second image data in which the tissue of interest is highlighted to be distinguished from the normal tissue.
Abstract:
A method and apparatus for generating an X-ray image are provided. The method includes obtaining an X-ray image of an object, performing image analysis on a tissue of interest in an area other than an interference target region in the obtained X-ray image, and performing image processing on an entirety of the obtained X-ray image based on information on the analyzed tissue of interest and generating a final X-ray image.
Abstract:
The radiographic image generation method includes acquiring a plurality of radiographic images corresponding to the number of radiation dose portions by emitting radiation to an object by dividing a radiation exposure dose into the radiation dose portions, and by detecting the emitted radiation, and matching the plurality of acquired radiographic images.
Abstract:
An apparatus for acquiring a MEX image includes an X-ray source to generate and irradiate a multi-peak X-ray spectrum onto an object, and an energy identifying detector to obtain a MEX generated when the irradiated multi-peak X-ray spectrum passes through an object.
Abstract:
An apparatus and method for acquiring an optimal MEX image may include an X-ray source to generate an X-ray and to irradiate the X-ray, an energy identification detector to acquire a MEX image that is generated when the irradiated X-ray penetrates an object, and an optimal MEX processor to generate an optimal MEX parameter based on a characteristic of the object and to control at least one of the X-ray source and the energy identification detector based on the generated optimal MEX parameter.