[A computer system for the systematization of MR findings in knee joint diseases]

An inexpensive, easy-access computer-based system is proposed, which was developed for the systematization of the clinical series of knee joint disorders studied with Magnetic Resonance Imaging (MRI). The system is based upon the integration of multimedia technology and Data Base Management Systems (DBMS). The hardware configuration for this project included an Apple Macintosh workstation based on a Motorola 68040 microprocessor and a customized application developed by the authors with the 4th Dimension software. The MR images available only on film were digitized off-line with a solid-state Charge Coupled Device (CCD) scanner with back-light cover for transparency. Otherwise, MR images were acquired on-line through an Ethernet-based local area network from the MR unit or from a SparcStation-Advantage Windows workstation connected with the MR unit. Image post-processing was performed with the Adobe PhotoShop software. The system was devoted to the systematization and analysis of a clinical series of 800 MR studies of the knee. A mean of 10 significant MR images were stored for each examination with a standard image compression algorithm--the Joint Photographic Experts Group (JPEG). This permitted us to save the system's storage space and at the same time to preserve image quality for consultation and teaching purposes, not for diagnosis which is made on the backboard or on the MR unit's or Advantage Window's monitor. Finally, MR findings were indexed with a customized check-list specific for knee joint disorders. On the basis of stored and selected information, it was thus possible to carry out a statistical analysis and to make detailed reports which are useful for scientific purposes, such as the preparation of lectures and papers. Moreover, the system was very useful for patients' follow-up and for the preparation of hypermedia teaching applications on knee joint disorders which are available on the Internet at our World-Wide Web server (URL: http://mbox.unipa.it/radpa/radpa ++ +.html). In conclusion, the system is a cost-effective and user-friendly solution for the multipurpose management of radiologic series.