DICOM标准也成为一个在世界上得到广泛认同和使用医学数字图像通信的标准。
DICOM standard is widely accepted and used to be the standard of Digital Imaging Communication in Medicine in the world.
随着计算机技术及网络技术的突飞猛进，医学数字图像通信成为医学和计算机网络的交叉新型学科。
With the rapid development of the computer and network technology, medical digital image communication is a new cross-subject based on computer network and medicine.
详细介绍了医学数字图像通信标准DICOM中的有关点对点环境下通信接口部分的内容，提供了两个可实现的技术方案。
This paper details contents of communication interface at the point-to-point environment in DICOM standard. It also provides two feasible technical solutions.
图4通过部分医学数字图像和通信(Digital Imaging and CommunicationsinMedicine,DICOM)标准，说明了这两种类型的层次结构。
Using part of the DICOM (Digital Imaging and Communications in Medicine) standard, Figure 4 illustrates these two types of hierarchies.
应用现代通信理论对成像系统进行了分析，建立了模拟和数字图像的目标信息密度模型。
The modern communication theory is used in the analysis of imaging systems. The object information density model is built for analogue and digital image respectively.
随着网络通信技术，多媒体技术，数据库技术的迅猛发展，多媒体信息急剧增长。而其中的数字图像信息应用日益广泛，并成为最主要的信息资源之一。
With the development of the technology of network, communication, multimedia and database, the multimedia information increase rapidly, the digital images are used more and more extensively.
本文介绍了医学数字图像及通信标准（DICOM），并对标准中的显示部分做了相关研究。
This article introduces the Digital Imaging and Communications in Medicine (DICOM) and researches in the part of display in DICOM.
医学影像归档及通信系统(PACS)是国内医学数字图像处理及传输领域的一个研究热点。
Picture Achieving and Communication Systems (PACS) is a hot-point in the field of processing and transmission of digital medical images.
由于数字图像具有数据量大的特点，出于对图像存储成本和图像通信的考虑，良好的图像压缩技术要能够实现高压缩率和高保真率。
The digital image has huge data information, so the algorithm which has high compression ratio and high fidelity rate is urgently needed, taking account of storage cost and communication.
在实际应用中，由于通信信道等因素，数字图像中的原始信号总是和噪声共存的。
Because of communication channel and so on, the signal pixels are always with noise pixels together.
在实际应用中，由于通信信道等因素，数字图像中的原始信号总是和噪声共存的。
Because of communication channel and so on, the signal pixels are always with noise pixels together.
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