MICRO-CT-BASED PERFUSION IMAGING IN SMALL ANIMALS

基于微型 CT 的小动物灌注成像

• 批准号: 7956938
• 负责人: Christian Tudorel Badea
• 金额: $ 1.09万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7956938
• 关键词: Address; Animals; Computer Retrieval of Information on Scientific Projects Database; Contrast Media; Dose; Funding; Grant; Image; Imaging Techniques; Injection of therapeutic agent; Institution; Magnetic Resonance; Measurement; Medical Imaging; Microscopy; Morphologic artifacts; Perfusion; Process; Radiation; Research; Research Personnel; Resolution; Resources; Rotation; Sampling; Series; Solutions; Source; System; Time; United States National Institutes of Health; Variant; Weight; Work; base; density; detector; in vivo; novel; reconstruction

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. In vivo measurements of perfusion presents a challenge to existing small animal imaging techniques such as magnetic resonance microscopy (MRM), microCT, microPET, and microSPECT, due to combined requirements for high spatial and temporal resolution. In Micro-CT perfusion to these requirements are added the radiation dose restrictions. In sampling, we have addressed these issues by using a dual source/detector Micro-CT system, and the novel paradigm that the same time density curves can be reproduced in a number of consecutive injections of ¿L volumes of contrast at a series of different angles of rotation. The high temporal resolution requirements and total volume of contrast agent used imposes undersampling which complicates the reconstruction process, since it causes significant streaking artifacts. We demonstrate an approach using a combined static micro-CT set with dynamic but angularly undersampled acquisitions. We provide an iterative reconstruction solution that uses the well sampled static micro-CT set as a prior. A sparseness prior regularized weighted l2 norm optimization is proposed to mitigate streaking artifacts based on the fact that most medical images are compressible. A prior Total Variation (TV) is implemented in this work as the regularizer for its simplicity.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 由于对高空间和时间分辨率的综合要求，体内灌注测量对现有的小动物成像技术（例如磁共振显微镜 (MRM)、microCT、microPET 和 microSPECT）提出了挑战。在Micro-CT灌注中对这些要求又增加了辐射剂量的限制。在采样中，我们通过使用双源/探测器 Micro-CT 系统和新颖的范例解决了这些问题，即可以通过在一系列不同旋转角度连续注射 ¿L 体积的造影剂来再现相同的时间密度曲线。 高时间分辨率要求和所用造影剂的总量强加了欠采样，这使重建过程变得复杂，因为它会导致显着的条纹伪影。我们演示了一种使用组合静态微 CT 集和动态但角度欠采样采集的方法。我们提供了一种迭代重建解决方案，该解决方案使用采样良好的静态微 CT 集作为先验。基于大多数医学图像都是可压缩的事实，提出了稀疏先验正则化加权 l2 范数优化来减轻条纹伪影。由于其简单性，在这项工作中实现了先前的总变分（TV）作为正则化器。