How to Cite Camino and Related Works

Please use the following general citation for Camino if you use it for your work:

P. A. Cook, Y. Bai, S. Nedjati-Gilani, K. K. Seunarine, M. G. Hall, G. J. Parker, D. C. Alexander, Camino: Open-Source Diffusion-MRI Reconstruction and Processing, 14th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Seattle, WA, USA, p. 2759, May 2006.

Citations will help us support the continued development of Camino.

Here are some references you should cite for specific techniques that Camino implements:

Linear DT Fitting Basser PJ, Mattielo J, and Lebihan D, Estimation of the effective self-diffusion tensor from the NMR spin echo, Journal of Magnetic Resonance, 103, 247-54, 1994.
Non-Linear and constrained DT Fitting Jones DK and Basser PJ, Squashing peanuts and smashing pumpkins: How noise distorts diffusion-weighted MR data, Magnetic Resonance in Medicine, 52(5), 979-993, 2004.

Alexander DC and Barker GJ, Optimal imaging parameters for fibre-orientation estimation in diffusion MRI, NeuroImage, 27, 357-367, 2005
RESTORE Chang L-C, Jones DK and Pierpaoli C, RESTORE: Robust estimation of tensors by outlier rejection, Magnetic Resonance in Medicine, 53(5), 1088-1095, 2005.
Spherical Harmonic Fibre-Crossing Detection Alexander DC, Barker GJ and Arridge SR, Detection and modelling of non-Gaussian apparent diffusion coefficient profiles in human brain data, Magnetic Resonance in Medicine, 48, 331-340, 2002.
General HARDI/Multi-fibre methods
Alexander DC and Seunarine KK. Mathematics of Crossing Fibers. Chapter 27 in Diffusion MRI: Theory, Methods, and Applications, ed DK Jones, OUP 2010.

Seunarine KK and Alexander DC. Multiple Fibers: Beyond the Diffusion Tensor. Chapter 4 in Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy, eds Johansen-Berg H and Behrens TEJ, Academic Press, 2009.

Alexander DC. Multiple-fibre reconstruction algorithms for diffusion MRI. Ann N Y Acad Sci 1046:113133, 2005.
ActiveAx
Alexander DC A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features., Magnetic Resonance in Medicine, Vol. 60, pp. 439-448, 2008.

D.C. Alexander, P.L. Hubbard, M.G. Hall, E.A. Moore, M. Ptito, G.J.M. Parker and T.D. Dyrby Orientationally invariant indices of axon diameter and density from diffusion MRI., NeuroImage, 52 (4), 1374-1389, 2010.
Q-Ball Tuch DS, Q-Ball Imaging, Magnetic Resonance in Medicine, 52(6), 1358-1372, 2004.
Spherical harmonic Q-Ball Descoteaux M, Angelino E, Fitzgibbons S, Deriche R (2007). Regularized, fast and robust analytical q-ball imaging. Magn Reson Med 58:497510.

Anderson AW (2005). Measurement of fiber orientation distributions using high angular resolution diffusion imaging. Magn Reson Med 54:11941206.

Hess CP, Mukherjee P, Han ET, Xu D, Vigneron DB (2005). A spherical harmonic approach to q-ball imaging. In Proceedings of the 13th Annual Meeting of the ISMRM, Florida, p. 389.
PAS-MRI Jansons KM and Alexander DC, Persistent angular structure: new insights from diffusion magnetic resonance imaging data, Inverse Problems, 19, 1031-1046, 2003.
Fast-PAS or Reduced Encoding PAS-MRI Sweet A and Alexander DC, Reduced Encoding Persistent Angular Structure, ISMRM, 572, 2010.
Maximum Entropy Spherical Deconvolution (MESD) Alexander DC, Maximum entropy spherical deconvolution for diffusion MRI, Proc. Information Processing in Medical Imaging (IPMI), 2005.
DT PICo Parker GJM, Haroon HA and Wheeler-Kingshott CAM, A Framework for a Streamline-Based Probabilistic Index of Connectivity (PICo) using a Structural Interpretation of MRI Diffusion Measurements, Journal of Magnetic Resonance Imaging, 18, 242-254, 2003.

Cook PA, Alexander DC, Parker GJM, Modelling noise-induced fibre-orientation error in diffusion-tensor MRI, IEEE International Symposium on Biomedical Imaging, 332-335, 2004.

Cook PA, Alexander DC,Modelling uncertainty in two fibre-orientation estimates within a voxel, Proc. Intl. Soc. Mag. Reson. Med. 14 (2006) pp 1629.


Multi-tensor PICo Parker GJM and Alexander DC, Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information, Proc. IPMI 2003.
PAS-PICo Parker GJM and Alexander DC, Probabilistic anatomic connectivity derived from the microscopic persistent angular structure of cerebral tissue, Philosophical Transactions of the Royal Society B, 360, 893-902, 2005.

Seunarine KK, Cook PA, Hall MG, Embleton K, Parker GJM and Alexander DC, Exploiting peak anisotropy for tracking through fanning structures, Proc. ISMRM 2007, p. 901.
Q-Ball PICo Seunarine KK, Cook PA, Hall MG, Embleton KV, Parker GJM, Alexander DC, Exploiting peak anisotropy for tracking through complex structures, IEEE ICCV Workshop on MMBIA 2007.
Wild boostrap tractography Whitcher B, Tuch D S, Wisco J J, Sorensen A G, Wang L, Using the wild bootstrap to quantify uncertainty in diffusion tensor imaging, Human Brain Mapping 29(3), 346-362, 2008.

Jones DK, "Tractography gone wild: Probabilistic tracking using the wild bootstrap", Proc ISMRM 2006, p 435
Bayesian tractography Friman O, Farneback G, Westin C F, A Bayesian Approach for Stochastic White Matter Tractography, IEEE Transactions on Medical Imaging 25(8), 965-978, 2006.
DT-MRI image warping Alexander DC, Pierpaoli C, Basser PJ and Gee JC, Spatial Transformations of Diffusion Tensor Magnetic Resonance Images, IEEE Trans. Medical Imaging, 20(11), 1131-1139, 2001.
DWI alignment with mbalign Bai Y and Alexander DC, Model-based registration to correct for motion between acquisitions in diffusion MR imaging, IEEE International Symposium on Biomedical Imaging, 947-950, 2008.
Electrostatic pointsets Jones DK, Horsfield MA and Simmons A, Optimal strategies for measuring diffusion in anisotropic systems by MRI, Magnetic Resonance in Medicine, 42(3), 515-525, 1999.

Jansons KM and Alexander DC, Persistent angular structure: new insights from diffusion magnetic resonance imaging data, Inverse Problems, 19, 1031-1046, 2003.
Ordered pointsets Cook PA, Symms M, Boulby PA and Alexander DC, Optimal acquisition orders of diffusion-weighted MRI measurements, Journal of Magnetic Resonance Imaging, 25(5), 1051-1058, 2007.
Model-based data synthesis Alexander DC and Barker GJ, Optimal imaging parameters for fibre-orientation estimation in diffusion MRI, NeuroImage, 27, 357-367, 2005

E. Panagiotaki, T. Schneider, B. Siow, M. G. Hall, M. F. Lythgoe, and D.C. Alexander.

Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison NeuroImage, 59(3), 2241-2254, 2012.

Monte-Carlo data synthesis Hall MG and Alexander DC, Convergence and parameter choice for Monte-Carlo simulations of diffusion MRI., IEEE Transactions on Medical Imaging, Vol. 28, pp. 1354-1364, 2009.