课题基金 / 基金详情

Video Compression for Remote Monitoring of Neurosurgery

Video Compression for Remote Monitoring of Neurosurgery
用于神经外科远程监控的视频压缩
批准号:
6802384
负责人:
MINGUI SUN
金额:
$27.99万
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-20 至 2007-07-31

项目摘要

项目成果

MINGUI SUN的其他基金

相关文献

中文摘要
翻译
描述(申请人提供):神经生理学内操作监测(IOM)是一个重要的程序,以减少因手术操作过程中出现的意外情况而导致的发病率。这一程序包括监控手术领域的高分辨率近距离视频,同时分析记录的神经生理数据,以及在需要修改手术策略以避免术后神经功能障碍的情况下与神经外科医生互动。 IOM传统上是在有经验的神经生理学家的医疗中心的手术室内进行的。在地区医院,由于缺乏专家,这种监测往往很难进行。多年来,我们一直在研究能够通过InterAct传输神经生理数据、语音和图像的多媒体远程IOM系统,然而,即使使用宽带互联网连接,IOM质量可接受的数字视频传输仍然是一个问题。主要原因是缺乏一种适应IOM视频特点的高性能视频压缩算法。我们将组建一个由经验丰富的电气工程师、神经生理学家和神经外科医生组成的研究团队来解决这个问题。我们将开发一种专用的视频压缩算法,最大限度地减少对带宽的要求。我们还将开发用于远程IOM的多媒体数据的同步和集成的新方法。我们将构建一个原型系统,能够在匹兹堡大学医学中心半径200英里范围内的农村地区提供高质量的IOM服务。
英文摘要
DESCRIPTION (provided by applicant): Neurophysiological InatraOperative Monitoring (IOM) is an important procedure to reduce morbidity due to unexpected conditions developed during surgical manipulation. This procedure includes monitoring high-resolution, close-up video of the surgical field, analyzing simultaneously recorded neurophysiological data, and interacting with the neurosurgeon in cases where operative strategies need to be modified to avoid postoperative neurological deficits. IOM is traditionally performed within the operating room in medical centers where experienced neurophysiologists are available. In regional hospitals this monitoring is often difficult to perform because of the lack of experts. Over the years we have been studying multimedia remote IOM systems capable of transmitting neurophysiological data, voice, and images through the Interact, However, transmission of digital video with an acceptable quality for IOM is still a problem, even when a broad band Internet connection is utilized. The primary reason is the lack of a high-performance video compression algorithm adapting to the special features of IOM video. We will form a research team consisting of experienced electrical engineers, neurophysiologists, and neurosurgeons to attack this problem. We will develop a special-purpose video compression algorithms that minimize the bandwidth requirement. We will also develop new methods for synchronization and integration of the multimedia data for remote IOM. We will construct a prototype system capable of providing high-quality IOM service in rural regions within a 200-mile radius of the University of Pittsburgh Medical Center.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
A Human-Mimetic AI System for Automatic, Passive and Objective Dietary Assessment
A Human-Mimetic AI System for Automatic, Passive and Objective Dietary Assessment
Biomimetic Self-Adhesive Dry EEG Electrodes
Biomimetic Self-Adhesive Dry EEG Electrodes