IMAGE CODING FOR TELERADIOLOGY

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 中心，不一定是研究者的机构。 由于数字成像在临床诊断、远程放射学、各种模态的医学图像（诸如计算机断层扫描（CT）和磁共振（MR））的传输中具有显著重要性，因此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，尽管可以解决归档数量过多的医学图像数据的问题，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。在偏远地区的通信系统遭受低传输速率和昂贵的操作。因此，压缩是必要的有效传输的医学图像。 针对特定的医学成像应用，提出一种基于分割的图像压缩方案，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.