The possibility of collection, processing, archiving, and transmission of X-ray images is based on the methods of sampling of X-ray profile and its transformation into a set of digital data. Being entered to a computer, digital information provides a basis for repeated imaging, processing, etc. [7]. The main stages of this process are: 1) sampling of X-ray images [1]; 2) sampling of video signal from image intensifier [12]; 3) direct X-ray digital imaging by special X-ray detectors [2] or a scanning laser-induced system of luminescence (SLSL) [7]. The first and the second stages are very common in practical roentgenology.Schlossman [16] suggested the classification of digital roentgenography by the types of X-ray detectors (matrix and scanning systems). If an X-ray image is converted into a digital array via an intermediate carrier (X-ray film, video signal, etc.), such conversion is called secondary. Direct methods allow digital diagnostic information to be obtained without intermediate carriers. In Russia, direct digital X-ray images were first recorded at the Institute of Nuclear Physics, Siberian Division, Russian Academy of Sciences, Novosibirsk [3, 4, 6].The problem of resolving power of digital X-ray diagnostic devices was thoroughly investigated from the viewpoints of image quality and information storage [8, 10]. The optimum pixel size should simultaneously meet the requirement of high spatial resolution and reasonable information volume. According to Wong [18], as much as 10 I5 Bytes of information are annually stored in the medical information systems in the USA, and this volume is rising continuously. Lares [14] showed that septal lines are resolved at resolution of 0.4 ram. MacMahon [15] showed that resolution of more than 0.1 mm would require enormous computer memory, whereas resolution of 0.4 man is sufficient to resolve intersticial infiltrates and pneumothorax. Sclalossman [16] emphasized that resolution of 0.4 man is sufficient for most clinical purposes.Although resolution of digital X-ray imaging is a very important parameter, computer processing is able to improve the image quality to such an extent that the effect of spatial resolution on diagnostic efficiency could be regarded as minor. For example, electronic contrast between air and a pleural cavity may give correct diagnosis of pneumothorax even without imaging of the pleural line [13]. Fraser [9] and Ikezoe [11] believe that methods of image processing are of particular importance.The method of floating dynamic scale of gray is the most common electronic method of image processing. Methods of quantitative and qualitative evaluation of image contrast and brightness are also very promising for diagnostic purpose [1, 2].We developed a diagnostic system based on a solid-state detector and tested this system in clinics. The system has the following specifications: number of pixels per line, 1024; resolution, 1.2 lines/ram (0.4 ram); exposure time per line, 10-20 msec; X-ray radiation range, 25-125 kV; dynamic range, no less than 80 riB...