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International Journal of Biomedical Imaging
Volume 2007, Article ID 65641, 8 pages
http://dx.doi.org/10.1155/2007/65641
Research Article

Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies

1The Beijing City Key Lab of Medical Physics and Engineering, Peking University, Beijing 100871, China
2School of Basic Medical Sciences, Peking University, Beijing 100083, China
3The Russell H. Morgan Department of Radiology and Radiological Science, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
4Department of Molecular & Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA

Received 16 January 2007; Revised 20 May 2007; Accepted 15 July 2007

Academic Editor: Jie Tian

Copyright © 2007 Xinrui Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Young T. Hong, and Tim D. Fryer, “Kinetic modelling using basis functions derived from two-tissue compartmental models with a plasma input function: General principle and application to [18F]fluorodeoxyglucose positron emission tomography,” NeuroImage, vol. 51, no. 1, pp. 164–172, 2010. View at Publisher · View at Google Scholar
  • Young T. Hong, John S. Beech, Rob Smith, Jean-Claude Baron, and Tim D. Fryer, “Parametric mapping of [F-18]fluoromisonidazole positron emission tomography using basis functions,” Journal Of Cerebral Blood Flow And Metabolism, vol. 31, no. 2, pp. 648–657, 2011. View at Publisher · View at Google Scholar
  • Xiaoqian Dai, Zhe Chen, and Jie Tian, “Performance evaluation of kinetic parameter estimation methods in dynamic FDG-PET studies,” Nuclear Medicine Communications, vol. 32, no. 1, pp. 4–16, 2011. View at Publisher · View at Google Scholar
  • YiGen Wu, Yun Zhou, ShangLian Bao, SungCheng Huang, XiaoHu Zhao, and Jun Li, “Using the rPatlak plot and dynamic FDG-PET to generate parametric images of relative local cerebral metabolic rate of glucose,” Chinese Science Bulletin, vol. 57, no. 28-29, pp. 3811–3818, 2012. View at Publisher · View at Google Scholar
  • Lijun Lu, Nicolas A Karakatsanis, Jing Tang, Wufan Chen, and Arman Rahmim, “3.5D dynamic PET image reconstruction incorporating kinetics-based clusters,” Physics in Medicine and Biology, vol. 57, no. 15, pp. 5035–5055, 2012. View at Publisher · View at Google Scholar
  • Hassan Mohy-ud-Din, Martin A Lodge, and Arman Rahmim, “Quantitative myocardial perfusion PET parametric imaging at the voxel-level,” Physics in Medicine and Biology, vol. 60, no. 15, pp. 6013–6037, 2015. View at Publisher · View at Google Scholar