Algorithm-enabled low-dose micro-CT imaging.
Algorithm-enabled low-dose micro-CT imaging.
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DOI：
10.1109/tmi.2010.2089695
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发表时间：
2011-03
影响因子：
10.6
通讯作者：
Pan X
中科院分区：
文献类型：
--
作者：
Han X;Bian J;Eaker DR;Kline TL;Sidky EY;Ritman EL;Pan X
Micro-CT是生物医学研究和临床前应用的重要工具，可以提供小动物成像和血管标本等生物标本的目视检查和定量信息。目前，微型ct成像使用大量（300 - 1000）视图获取的投影数据，这可能会限制系统的吞吐量，并且由于辐射引起的小动物或标本的变形或损坏，可能会降低图像质量。在这项工作中，我们研究了低剂量微ct及其在样本成像中的应用，通过使用最近开发的一种算法，即自适应最陡下降投影上凸集（ASD-POCS）算法，从大量减少的投影数据中提取图像，该算法通过最小化图像总变化和强制数据约束来重建图像。为了验证和评估ASD-POCS算法的性能，我们在真实动物器官标本成像的一些实际任务中进行了定量评估研究。结果表明，ASD-POCS算法可以获得与现有算法相当的图像质量，而使用目前典型微ct标本成像中361视图数据的六分之一到四分之一。
Micro-CT is an important tool in biomedical research and preclinical applications that can provide visual inspection of and quantitative information about imaged small animals and biological samples such as vasculature specimens. Currently, micro-CT imaging uses projection data acquired at a large number (300 – 1000) of views, which can limit system throughput and potentially degrade image quality due to radiation-induced deformation or damage to the small animal or specimen. In this work, we have investigated low-dose micro-CT and its application to specimen imaging from substantially reduced projection data by using a recently developed algorithm, referred to as the adaptive-steepest-descent-projection-onto-convex-sets (ASD-POCS) algorithm, which reconstructs an image through minimizing the image total-variation and enforcing data constraints. To validate and evaluate the performance of the ASD-POCS algorithm, we carried out quantitative evaluation studies in a number of tasks of practical interest in imaging of specimens of real animal organs. The results show that the ASD-POCS algorithm can yield images with quality comparable to that obtained with existing algorithms, while using one-sixth to one quarter of the 361-view data currently used in typical micro-CT specimen imaging.