IMAGE CODING FOR TELERADIOLOGY

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 由于数字成像在临床诊断、远程放射学中具有重要的意义，因此各种医学图像的传输，如计算机断层扫描(CT)和磁共振(MR)，是大多数远程医疗系统的关键部分。然而，数字医学图像需要大量的存储空间。随着数字存储成本的降低，虽然可以解决海量医学图像数据的归档问题，但偏远地区的低质量通信系统使有效的远程放射学变得困难。偏远地区的通信系统传输速率低，运营成本高。因此，为了有效地传输医学图像，压缩是必要的。 为特定的医学成像应用开发一种基于分割的图像压缩方案，并对感兴趣区域进行无损压缩。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Since digital imaging is of significant importance in clinical diagnosis, teleradiology, the transmission of medical images of various modalities, such as computed tomography (CT) and magnetic resonance (MR), is a key part of most telemedicine systems. However, digital medical images require substantial amount of storage space. With the decreased cost of digital storage, although, the problem of archiving prohibitive amount of medical image data can be addressed, the low quality communication systems in remote areas makes effective teleradiology difficult. The communication systems in remote areas suffer from low transmission rate and are expensive to operate. Thus compression is necessary for effective transmission of medical images. To develop a segmentation-based image compression scheme for a particular medical imaging application with lossless compression of region of interest.