IMAGE CODING FOR TELERADIOLOGY

远程放射学图像编码

• 批准号: 8171159
• 负责人: GOLAM SORWAR
• 金额: $ 0.61万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171159
• 关键词: Address; Archives; Area; Code; Communication; Computer Retrieval of Information on Scientific Projects Database; Data; Funding; Grant; Image; Image Compression; Institution; Magnetic Resonance; Medical Imaging; Modality; Research; Research Personnel; Resources; Scheme; Source; System; Telemedicine; Teleradiology; United States National Institutes of Health; X-Ray Computed Tomography; base; clinical Diagnosis; cost; digital; digital imaging; interest; transmission process

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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 由于数字成像在临床诊断中至关重要，因此远期放射学，因此各种方式的医学图像的传播，例如计算机断层扫描（CT）和磁共振（MR），是大多数远程医疗系统的关键部分。但是，数字医疗图像需要大量的存储空间。随着数字存储成本降低，尽管可以解决归档大量医疗图像数据的问题，但偏远地区的低质量通信系统使有效的远期学系统变得困难。偏远地区的通信系统遭受传输速度较低的损失，并且运行昂贵。因此，压缩对于有效传输医学图像是必需的。 为特定的医学成像应用开发基于细分的图像压缩方案，并具有无损的感兴趣区域。