Search PubMed⌕ Search

Biomedical subjects

D S Artz

Publications and source records attributed to D S Artz.

4 recordsLinked to original sources

Computed radiography for the radiological technologist.

CR has emerged as a general imaging technology for successful imaging of the chest, abdominal, musculoskeletal, and pediatric anatomy. For the general radiographer, CR is both celebrated and scorned for its complex function, and requires thorough ongoing training for the technologists to produce consistently high image quality. Digital radiography's unique separation of detector, display, and archive add a flexibility over screen-film technology for moving, storing, printing, and viewing plain radiographic images. CR technology is now a viable solution for those wishing to embrace the electronic and digital revolution in medicine. Although the system has less spatial resolution than screen-film technology, the strength of postacquisition image processing to enhance pathology and view obscured anatomy makes CR imaging attractive to technologists and radiologists. CR is a new modality for the general radiographer that, when put into the hands of a well-trained technologist, produces images of beautiful diagnostic quality.

Humans↗

Image processing in digital radiography.

Image processing is a critical part of obtaining high-quality digital radiographs. Fortunately, the user of these systems does not need to understand image processing in detail, because the manufacturers provide good starting values. Because radiologists may have different preferences in image appearance, it is helpful to know that many aspects of image appearance can be changed by image processing, and a new preferred setting can be loaded into the computer and saved so that it can become the new standard processing method. Image processing allows one to change the overall optical density of an image and to change its contrast. Spatial frequency processing allows an image to be sharpened, improving its appearance. It also allows noise to be blurred so that it is less visible. Care is necessary to avoid the introduction of artifacts or the hiding of mediastinal tubes.

Humans↗

Digital radiography of the chest.

Digital radiography is an appropriate method for both bedside and in-department chest radiographs. Its major advantage in bedside chest radiography is its control of the displayed optical density of these radiographs. With dynamic range control processing, it improves the visibility of tubes and lines superimposed on the mediastinal tissues. When used for in-department chest radiography, it may offer slight advantages in the evaluation of disease in the mediastinum, but in general is equivalent to film-screen chest radiography. The main reasons for using digital chest radiography for in-department chest radiographs relate mainly to its use as a data entry point method of projection radiography for high-quality teleradiology or for its use in a picture archiving and communication system. Apart from these advantages, there is no reason to change from conventional to digital chest radiographs. Digital radiographs are, with certain systems, printed at smaller than life size. Because of this, there is a necessary period of learning as radiologists adjust to the new image size. The most important change in radiologists' work pattern appears to be the need to sit closer to the film. Findings of disease are smaller, but, with experience, just as easy to see.

Humans↗

Update in digital mammography.

Digital mammography is a rapidly developing technology that has great potential to improve upon and ultimately replace conventional film-screen mammography for the early detection of breast cancer. This article reviews current progress in digital mammographic systems, computer-aided diagnostic programs, and artificial neural networks. Digital mammographic systems are currently in an investigational phase only. Large-scale clinical trials are needed in all areas of digital mammography before this exciting new technology can be implemented outside of research centers.

Artificial Intelligence↗