IMAGE RECONSTRUCTION FROM SPARSELY SAMPLED (K, T)-SPACE DATA

稀疏采样（K，T）空间数据的图像重建

• 批准号: 8170578
• 负责人: ZHI-PEI LIANG
• 金额: $ 6.56万
• 依托单位: NORTHERN CALIFORNIA INSTITUTE/RES/EDU
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170578
• 关键词: Algorithms; Computer Retrieval of Information on Scientific Projects Database; Development; Drug Formulations; Funding; Grant; Image; Institution; Joints; Methodology; Modeling; Perfusion; Phase; Research; Research Personnel; Resources; Sampling; Series; Source; Time; United States National Institutes of Health; Validation; data space; image reconstruction; imaging modality; novel; spatiotemporal

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. Aim 1: Optimizing a novel (k, t)-space formulation of the generalized series model to allow joint spatiotemporal modeling of the time-varying object function encountered in various spatiotemporal imaging applications of the proposed imaging center (e.g., dynamic perfusion imaging). Aim 2: Development of an efficient image reconstruction algorithm that can handle both conventional and sensitivity-encoded (k, t)-space data collected using a single or multiple phased array coils. Aim 3: Validation of the proposed (k, t)-space imaging method using the methodologies described in the Validation section.

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。 AIM 1：优化广义串联模型的新颖（K，T）空间公式，以允许在所提出的成像中心的各种时空成像应用中遇到的时变对象函数的联合时空建模（例如，动态灌注成像）。 AIM 2：开发有效的图像重建算法，该算法可以处理使用单个或多个阶段阵列线圈收集的常规和灵敏度编码（K，T）空间数据。 AIM 3：使用验证部分中描述的方法对所提出的（K，T）空间成像方法进行验证。