主 题：Automatic recovery of the arterial input function for PET imaging studies with water and FDG
主讲人：爱尔兰科克大学统计系教授、高级统计师 黄健
主持人：经济数学学院 向开理教授
时 间：2014年12月2日（星期二）下午2:30
地 点：柳林校区通博楼B412
主办单位：经济数学学院 科研处
主讲人简介：
黄健博士为爱尔兰科克大学统计系教授、高级统计师。主要研究领域为生物统计与医药统计。在统计建模方法、统计数据分析等研究领域着有建树，在重要的国际学术期刊上发表研究论文50余篇，出版专著3部，应邀到世界多所著名大学作学术访问。
内容提要：
Quantitative kinetic analysis of PET data requires the blood time-course of the tracer and its metabolites as an input. In a clinical setting it is often not feasible to gather this information directly. Thus, reliable recovery of the blood input information directly from the image data is of interest. A physiologically based Markov model is used to represent labeled tracer in the systemic circulation. The time steps used in this model are individual beats of the heart. Efficient computational implementation of the model relies spectral analysis of the transition probability matrix. A penalised non-linear least squares process incorporating a generalised cross-validation score is proposed. Random effects analysis is used to adaptively specify the structure of the penalty function based on historical samples of directly measured blood data. A collection of arterially sampled data from PET studies with FDG and H2O is used to illustrate the methodology. These data are highly supportive of the overall modelling approach. An adaptation of the model to the problem of extraction of arterial blood signals from imaging data is also discussed.
Peer Reviewed Journals
Huang, J,O'Sullivan, F (2014) 'An Analysis of Whole Body Tracer Kinetics in Dynamic PET Studies With Application to Image-Based Blood Input Function Extraction'. IEEE Transactions On Medical Imaging, 33 :1093-1108.
Huang, J,O'Sullivan, F,Jike, L (2012) 'Plane-wave Sf S reconstruction of water surface characteristics from Lambertian reflectance data'. Inverse Problems, 28.
D. Hawe and F. Hernandez Fernandez and L. O'Suilleabháin and E. Wolsztynski and J. Huang and F. O’Sullivan (2012) 'Kinetic analysis of dynamic positron emission tomography data using open-source image processing and statistical inference tools'. WIREs Computational Statistics, vo vol. 4, no. 3, pp. 316–322. l. 4, no. 3, pp. 316–322.
Huang, J., Salim, A., Lei, K., O'Sullivan, K., Pawitan, Y. (2009) 'Classification of array CGH data using smoothed logistic regression model'. Statistics In Medicine, 28 :3798-3810.
Wang, L.; Liu, L.; Holmes, J. D.; Huang, J.; Kerry, J. F.; kerry, J. P.; (2008) 'Effect of pH and addition of corn oil on the properties of whey protein isolate-based films using response surface methodology'. International Journal of Food Science & Technology, 43:787-796.http://www3.interscience.wiley.com/journal/**/home
Jian Huang, Kathleen Oa�?Sullivan, John Levis, Elizabeth Kenny-Walsh, Orla Crosbie, Liam Fanning (2008) 'Retrospective analysis of chronic hepatitis C in untreated patients with nonlinear mixed effects model'. J. Biomedical Science and Engineering, (1):85-90.
O?Sullivan, F., Huang, J., Roy Choudhury, K., Caulliez, G., Shrira, V. (2008) 'Regularized Reconstruction of Water Surfaces from Noisy Gradient Information using Plane Wave Superposition'. Inverse Problems, 24 (034016).
Huang, J,Gusnanto, A,O'Sullivan, K,Staaf, J,Borg, A,Pawitan, Y (2007) 'Robust smooth segmentation approach for array CGH data analysis'. Bioinformatics (Oxford, England),23:2463-2469.
Pawitan, Y,Huang, J; (2003) 'Constrained clustering of irregularly sampled spatial data'.Rna-APublicationofTheRnaSociety,73:853-865.
Gusnanto, A,Pawitan, Y,Huang, J,Lane, B (2003) 'Variable selection in random calibration of near-infrared instruments: ridge regression and partial least squares regressionsettings'.JournalofChemometrics,17:174-185.
Brennan, D and Alderman, J and Sattler, L and Walshe, J and Huang, J and O'Connor, B and O'Mathuna, C (2002) 'Development of a micro-spectrometer system for process control application'. INFRARED PHYSICS TECHNOLOGY, 43 (2):69-76.
Huang, J and Brennan, D and Sattler, L and Alderman, J and Lane, B and O'Mathuna, C (2002) 'A comparison of calibration methods based on calibration data size and robustness'. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 62 (1):25-35.
Jian Huang and Yudi Pawitan “Quasi-likelihood estimation of noninvertible moving average processes” Scandinavian Journal of Statistics 27 (2000), No. 4, 689-702
