Digital imaging in radiology encompasses a number of modalities, but primarily it refers to Computed Radiography (CR) and Digital Radiography (DR). Both of these utilize digital technologies to acquire images, compared to the more traditional film-based analog film modality. This allows images to be acquired, stored, transferred and displayed in digital format. The Radiology Research Lab has studied digital modalities for a number of years, investigating primarily the digital acquisition devices and the digital display devices. Of main concern is the quality of the images produced using digital technologies and how use of digitally acquired and displayed images influences diagnostic accuracy and
interpretation efficiency. Most important is the availability of image processing techniques and calibration techniques which permit the optimization of the acquired images. Examples of our work with digital acquisition devices like the Full Field Digital Mammography system at the Breast Center as well as digital display devices like the various CRTs and LCDs are estimates of the performance characteristics like Detective Quantum Efficiency (DQE), Modulation Transfer Function (MTF) and Signal-to-Noise Ratio.
Over the years a variety of unique evaluation devices, evaluation techniques and particularly software were developed, which gives the Radiology Research Lab at this University a unique status amongst similar institutions in the world. At the center in the arsenal of evaluation devices are several high performance cooled monochrome CCD cameras. The image display, image analysis and image processing software ImprocRAD is at the center of our software for image quality analysis.
As a result we were able to investigate the influence of
Observing the recent trend in Radiography from monochrome displays to color displays for application to both display of monochrome radiographs as well as display of color images (for Tele-medicine as well as Pathology), we are in the process to include image quality analysis and image quality control for the field of color into our program. At this time we already have a Foveon CMOS color camera, a Konica-Minolta colorimeter CS100, a Konica-Minolta colorimeter CS100 and some evaluation software based on MatLAB.
Preliminary work is underway on: