Hovanes M E, Deal J R, Rowberg A H
LizardTech, Inc, Seattle, WA 98104, USA.
J Digit Imaging. 1999 May;12(2 Suppl 1):109-11. doi: 10.1007/BF03168772.
Image storage, display, and distribution have been difficult problems in radiology for many years. As improvements in technology have changed the nature of the storage and display media, demand for image portability, faster image acquisition, and flexible image distribution is driving the development of responsive systems. Technology, such as the wavelet-based multiresolution seamless image database (MrSID) portable image format (PIF), is enabling image management solutions that address the shifting "point-of-care." The MrSID PIF employs seamless, multiresolution technology, which allows the viewer to determine the size of the image to be viewed, as well as the position of the viewing area within the image dataset. In addition the MrSID PIF allows control of the compression ratio of decompressed images. This capability offers the advantage of very rapid image recall from storage devices and portability for rapid transmission and distribution using the internet or wide-area networks. For example, in teleradiology, the radiologist or other physician desiring to view images at a remote location has full flexibility in being able to choose a quick display of an overview image, a complete display of a full diagnostic quality image, or both without compromising communication bandwidth. The MrSID algorithm will satisfy Joint Photographic Experts Group (JPEG) 2000 standards, thereby being compatible with future versions of the Digital Imaging and Communications in Medicine (DICOM) standard for image data compression.
多年来，图像存储、显示和分发一直是放射学领域的难题。随着技术进步改变了存储和显示介质的性质，对图像便携性、更快图像采集以及灵活图像分发的需求推动了响应式系统的发展。诸如基于小波的多分辨率无缝图像数据库（MrSID）便携式图像格式（PIF）等技术，正在催生能够应对不断变化的“床边诊断点”的图像管理解决方案。MrSID PIF采用无缝多分辨率技术，这使查看者能够确定要查看的图像大小以及图像数据集中查看区域的位置。此外，MrSID PIF允许控制解压缩图像的压缩率。这一功能具有从存储设备非常快速地调出图像的优势，并且便于通过互联网或广域网进行快速传输和分发。例如，在远程放射学中，希望在远程位置查看图像的放射科医生或其他医生能够完全灵活地选择快速显示概览图像、完整显示全诊断质量图像，或者两者兼顾，而不会影响通信带宽。MrSID算法将符合联合图像专家组（JPEG）2000标准，从而与医学数字成像和通信（DICOM）标准的未来版本在图像数据压缩方面兼容。
