R. , D. Paola, J. Bazin, F. Aubry, A. Aurengo et al., Handling of dynamic sequences in nuclear medicine, IEEE Transactions on Nuclear Science, vol.29, issue.4, pp.1310-1321, 1982.

G. T. Gullberg, B. W. Reutter, A. Sitek, J. S. Maltz, and T. F. Budinger, Dynamic single photon emission computed tomography???basic principles and cardiac applications, Physics in Medicine and Biology, vol.55, issue.20, p.111, 2010.
DOI : 10.1088/0031-9155/55/20/R01

URL : http://europepmc.org/articles/pmc3306016?pdf=render

M. Abdalah, R. Boutchko, D. Mitra, and G. T. Gullberg, Reconstruction of 4-D Dynamic SPECT Images From Inconsistent Projections Using a Spline Initialized FADS Algorithm (SIFADS), IEEE Transactions on Medical Imaging, vol.34, issue.1, pp.216-228, 2015.
DOI : 10.1109/TMI.2014.2352033

H. Wu, C. K. Hoh, Y. Choi, H. R. Schelbert, R. A. Hawkins et al., Factor analysis for extraction of blood timeactivity curves in dynamic fdg-pet studies, Journal of nuclear medicine: official publication, Society of Nuclear Medicine, vol.36, issue.9, pp.1714-1722, 1995.

J. Y. Ahn, D. S. Lee, J. S. Lee, S. Kim, G. J. Cheon et al., Quantification of regional myocardial blood flow using dynamic h215o pet and factor analysis, Journal of Nuclear Medicine, vol.42, issue.5, pp.782-787, 2001.

L. Chen, P. L. Choyke, T. Chan, C. Chi, G. Wang et al., Tissue-Specific Compartmental Analysis for Dynamic Contrast-Enhanced MR Imaging of Complex Tumors, IEEE Transactions on Medical Imaging, vol.30, issue.12, pp.2044-2058, 2011.
DOI : 10.1109/TMI.2011.2160276

G. J. Lueck, T. Kim, P. N. Burns, and A. L. Martel, Hepatic Perfusion Imaging Using Factor Analysis of Contrast Enhanced Ultrasound, IEEE Transactions on Medical Imaging, vol.27, issue.10, pp.1449-1457, 2008.
DOI : 10.1109/TMI.2008.922695

J. Zhang, M. Ding, F. Meng, and X. Zhang, Quantitative Evaluation of Two-Factor Analysis Applied to Hepatic Perfusion Study Using Contrast-enhanced Ultrasound, IEEE Transactions on Biomedical Engineering, vol.60, issue.2, pp.259-267, 2013.
DOI : 10.1109/TBME.2011.2171038

D. Barber, The use of principal components in the quantitative analysis of gamma camera dynamic studies, Physics in Medicine and Biology, vol.25, issue.2, p.283, 1980.
DOI : 10.1088/0031-9155/25/2/008

P. Paatero and U. Tapper, Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, Environmetrics, vol.18, issue.2, pp.111-126, 1994.
DOI : 10.1007/978-3-642-93295-3_112

D. D. Lee and H. S. Seung, Algorithms for non-negative matrix factorization, Advances in neural information processing systems, pp.556-562, 2001.

A. Houston, The effect of apex-finding errors on factor images obtained from factor analysis and oblique transformation (nuclear medicine), Physics in medicine and biology, pp.1109-223, 1984.
DOI : 10.1088/0031-9155/29/9/007

B. W. Reutter, G. T. Gullberg, and R. H. Huesman, Direct least-squares estimation of spatiotemporal distributions from dynamic SPECT projections using a spatial segmentation and temporal B-splines, IEEE Transactions on Medical Imaging, vol.19, issue.5, pp.434-450, 2000.
DOI : 10.1109/42.870254

T. E. Nichols, J. Qi, and R. M. Leahy, Continuous Time Dynamic PET Imaging Using List Mode Data, Biennial International Conference on Information Processing in Medical Imaging, pp.98-111, 1999.
DOI : 10.1007/3-540-48714-X_8

URL : http://neuroimage.usc.edu/paperspdf/IMPI99_PET.pdf

F. Frouin, A. De-cesare, Y. Bouchareb, A. Todd-pokropek, and A. Herment, Spatial regularization applied to factor analysis of medical image sequences (FAMIS), Physics in Medicine and Biology, vol.44, issue.9, p.2289, 1999.
DOI : 10.1088/0031-9155/44/9/315

A. Sitek, G. T. Gullberg, R. H. Huesman, and V. Smídl, Correction for ambiguous solutions in factor analysis using a penalized least squares objective Smídl and O. Tich`Tich`y, " Sparsity in bayesian blind source separation and deconvolution Bayesian blind separation and deconvolution of dynamic image sequences using sparsity priors, Joint European Conference on Machine Learning and Knowledge Discovery in Databases IEEE transactions on medical imaging, pp.216-225, 2002.

K. Nijran and D. Barber, The importance of constraints in factor analysis of dynamic studies, " in Information processing in medical imaging, pp.521-529, 1988.

H. Benali, I. Buvat, F. Frouin, J. Bazin, and R. D. Paola, Foundations of factor analysis of medical image sequences: a unified approach and some practical implications, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, pp.375-385, 1994.
DOI : 10.1016/0262-8856(94)90062-0

M. Filippi, M. Desvignes, E. Moisan, C. Ghezzi, P. Perret et al., Factor Analysis of Dynamic Sequence with Spatial Prior for 2D Cardiac Spect Sequences Analysis, International Conference on Advanced Concepts for Intelligent Vision Systems, pp.228-237, 2016.
DOI : 10.1109/42.996340

M. W. Berry, M. Browne, A. N. Langville, V. P. Pauca, and R. J. Plemmons, Algorithms and applications for approximate nonnegative matrix factorization, Computational Statistics & Data Analysis, vol.52, issue.1, pp.155-173, 2007.
DOI : 10.1016/j.csda.2006.11.006

URL : http://www.wfu.edu/~plemmons/papers/BBLPP-rev.pdf

E. Polak and G. Ribiere, Note sur la convergence de méthodes de directions conjuguées Revue française d'informatique et de recherche opérationnelle, série rouge The variational Bayes method in signal processing, pp.35-43, 1969.

G. Brolin, K. S. Gleisner, and M. Ljungberg, Tc-MAG3 renography: images for quality control obtained by combining pharmacokinetic modelling, an anthropomorphic computer phantom and Monte Carlo simulated scintillation camera imaging, Physics in Medicine and Biology, vol.58, issue.10, p.3145, 2013.
DOI : 10.1088/0031-9155/58/10/3145

W. Segars, G. Sturgeon, S. Mendonca, J. Grimes, and B. M. Tsui, 4D XCAT phantom for multimodality imaging research, Medical Physics, vol.36, issue.12, pp.4902-4915, 2010.
DOI : 10.1118/1.3140588

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941518/pdf

I. Gordon, A. Piepsz, and R. Sixt, Guidelines for standard and diuretic renogram in children, European Journal of Nuclear Medicine and Molecular Imaging, vol.152, issue.1, pp.1175-1188, 2011.
DOI : 10.1007/s00259-009-1138-5

P. Perret, M. Henri, L. Slimani, D. Fagret, and C. Ghezzi, Nuclear Imaging of Glucose Transport/Metabolism ??? An Interesting Tool to Screen Insulin Resistance, Refine Diagnosis of Type 2 Diabetes, Understand Disease Mechanisms, and/or Evaluate New Therapies, Medical Complications of Type 2 Diabetes. InTech, 2011.
DOI : 10.5772/22356