Quantitative analysis of dynamic contrast-enhanced MR images based on bayesian P-splines

IEEE Transactions on Medical Imaging

Volumn 28, Issue 6, 2009, Pages 789-798

  Schmid, Volker J ^a   Whitcher, Brandon ^b   Padhani, Anwar R ^c   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b GLAXOSMITHKLINE   (United Kingdom)

^c MOUNT VERNON HOSPITAL   (United Kingdom)

Author keywords

Bayesian hierarchical modeling; Dynamic contrast enhanced magnetic resonance imaging; Onset time; Penalty splines; Pharmacokinetic models; Semi parametric models

Indexed keywords

BAYESIAN HIERARCHICAL MODELING; DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING; ONSET TIME; PENALTY SPLINES; PHARMACOKINETIC MODELS; SEMI-PARAMETRIC MODELS;

BAYESIAN NETWORKS; CONVERGENCE OF NUMERICAL METHODS; DYNAMIC ANALYSIS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; PARAMETER ESTIMATION; PHARMACOKINETICS;

SPLINES;

CONTRAST MEDIUM;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BREAST; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMALE; HUMAN; KINETICS; METHODOLOGY; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; REPRODUCIBILITY; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BREAST; BREAST NEOPLASMS; COMPUTER SIMULATION; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KINETICS; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MONTE CARLO METHOD; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 66249105370     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.2007326     Document Type: Article

References (44)

1. V. Schmid, B. Whitcher, and G.-Z. Yang, "Semi-parametric analysis of dynamic contrast-enhanced MRI using Bayesian P-splines," in Medical Imaging Computing and Computer-Assisted Intervention-MICCAI 2006, R. Larsen, M. Nielsen, and J. Sporring, Eds. Berlin, Germany: Springer, 2006, vol. 4190, Lecture Notes Computer Science, pp. 679-686.
2. D. Collins and A. Padhani, "Dynamic magnetic resonance imaging of tumor perfusion," IEEE Eng. Bio. Med., vol. 23, no. 5, pp. 65-83, Sep.-Oct. 2004.
3. 1 -weighted dynamic contrast-enhanced MRI," in Quantitative MRI of the Brain, P. Tofts, Ed. Chichester, U.K.: Wiley, 2003, ch. 10, pp. 341-364.
4. E. Fram, R. Herfkens, G. Johnson, G. Glover, J. Karis, A. Shimakawa, T. Perkins, and N. Pelc, "Rapid calculation of T1 using variable flip angle gradient refocused imaging," Magn. Reson. Imag., vol. 5, pp. 201-208, 1987.
5. H. Larsson and P. Tofts, "Measurement of the blood-brain barrier permeability and leakage space using dynamic Gd-DTPA scanning-A comparison of methods," Magn. Res. Med., vol. 24, pp. 174-176, 1992.
6. 1-weighted MRI," Magn. Reson. Med., vol. 47, no. 3, pp. 601-606, 2002.
7. K. S. Lawrence and T.-Y. Lee, "An adiabatic approximation to the tissue homogeneity model for water exchange in the brain: I. Theoretical derivation," J. Cereb. Blood Flow Metab., vol. 18, pp. 1365-1377, 1998.
8. C. Gössl, L. Fahrmeir, and D. Auer, "Bayesian modeling of the hemodynamic response function in BOLD fMRI," NeuroImage, vol. 14, pp. 140-148, 2001.
9. V. Schmid, B. Whitcher, G.-Z. Yang, N. J. Taylor, and A. Padhani, "Statistical analysis of pharmacokinetical models in dynamic contrast-enhanced magnetic resonance imaging," in Medical Imaging Computing and Computer-Assisted Intervention - MICCAI 2005, J. Duncan and G. Gerig, Eds. Berlin, Germany: Springer, 2005, vol. 3750, Lecture Notes Computer Science, pp. 886-893.
10. M. Orton, D. Collins, S. Walker-Samuel, J. A. d'Arcy, D. J. Hawkes, D. Atkinson, and M. Leach, "Bayesian estimation of pharmacokinetic parameters for DCE-MRI with a robust treatment of enhancement onset time," Phys. Med. Biol., vol. 52, pp. 2393-2408, 2007.
11. V. Schmid, B. Whitcher, A. Padhani, N. J. Taylor, and G.-Z. Yang, "Bayesian methods for pharmacokinetic models in dynamic contrast-enhanced magnetic resonance imaging," IEEE Trans. Med. Imag., vol. 25, no. 12, pp. 1627-1636, Dec. 2006.
12. T. Twellmann, O. Lichte, and T. Nattkemper, "An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data," IEEE Trans. Med. Imag., vol. 24, no. 10, pp. 1256-66, Oct. 2005.
13. K.-H. Chaung, M.-T. Wu, Y.-R. Lin, K.-S. Hsieh, M.-L. Wu, S.-Y. Tsai, C.-W. Ko, and H.-W. Chung, "Application of model-free analysis in the MR assessment of pulmonary perfusion dynamics," Magn. Res. Med., vol. 54, no. 2, pp. 299-308, 2005.
14. V. Cunningham and T. Jones, "Spectral analysis of dynamic PET studies," J. Cereb. Blood Flow Metab., vol. 13, pp. 15-23, 1993.
15. R. Gunn, S. Gunn, F. Turkheimer, J. Aston, and V. Cunningham, "Positron emission tomography compartmental models: A basis pursuit strategy for kinetic modeling," J. Cereb. Blood Flow Metab., vol. 22, pp. 1425-1439, 2002.
16. M. Jerosch-Herold, C. Swingen, and R. Seethamraju, "Myocardial blood flow quantification with MRI by model-independent deconvolution," Med. Phys., vol. 29, no. 5, pp. 886-897, 2002.
17. P. Eilers and B. Marx, "Flexible smoothing with B-splines and penalties (with comments and rejoinder)," Stat. Sci., vol. 11, pp. 89-121, 1996.
18. B. Marx and P. Eilers, "Direct generalized additive modeling with penalized likelihood," Comp. Stat. Data Anal., vol. 28, pp. 193-209, 1998.
19. P. Johnston and R. Gulrajani, "Selecting the corner in the L-curve approach to Tikhonov regularization," IEEE Trans. Biomed. Eng., vol. 47, no. 9, pp. 1293-1296, Sep. 2000.
20. S. Lang, E. Fronk, and L. Fahrmeir, "Function estimation with locally adaptive dynamic models," Comp. Stat., vol. 17, pp. 479-500, 2002.
21. S. Lang and A. Brezger, "Bayesian P-splines," J. Comp. Graph. Stat., vol. 13, pp. 183-212, 2004.
22. S. Kety, "Blood-tissue exchange methods. Theory of blood-tissue exchange and its applications to measurement of blood flow," Meth. Med. Res., vol. 8, pp. 223-227, 1960.
23. 1 -weighted MRI of a diffusable tracer: Standardized quantities and symbols," J. Magn. Res. Imag., vol. 10, pp. 223-232, 1999.
24. P. Tofts and A. Kermode, "Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging - 1. Fundamental concepts," Magn. Res. Med., vol. 17, pp. 357-367, 1991.
25. T. Fritz-Hansen, E. Rostrup, K. Larsson, L. Søndergaard, P. Ring, and O. Henriksen, "Measurement of the arterial concentration of Gd-DTPA using MRI: A step toward quantitative perfusion imaging," Magn. Res. Med., vol. 36, pp. 225-231, 1996.
26. J. J. More, "The Levenberg-Marquardt algorithm: Implementation and theory," in Numerical Analysis, G. A. Watson, Ed. Berlin, Germany: Springer-Verlag, 1978, vol. 630, Lecture Notes Mathematics, pp. 104-116.
27. E. Henderson, J. Sykes, D. Drost, H.-J. Weinmann, B. Rutt, and T.-Y. Lee, "Simultaneous MRI measurement of blood flow, blood volume, and capillary permeability in mammary tumors using two different contrast agents," J. Magn. Res. Imag., vol. 12, pp. 991-1003, 2000.
28. T. V. Elzhov, Minpack.lm: R Interface for MINPACK Least Squares Optimization Library R package, 2005.
29. K. Kroll, N. Wilke, M. Jerosch-Herold, Y. Wang, Y. Zhang, R. Bache, and J. B. Gassingthwaighte, "Modeling regional myocardial flows from residue functions of an intravascular indicator," Am. J. Heart Circ. Physiol., vol. 271, pp. 1643-1655, 1996.
30. C. Landis, X. Li, F. Telang, J. Coderre, P. Micca, W. Rooney, L. La-tour, G. Vetek, I. Palyka, and C. Springer, "Determination of the MRI contrast agent concentration time course in vivo following bolus injection: Effect of equilibrium transcytolemmal water exchange," Magn. Res. Med., vol. 44, pp. 567-574, 2000.
31. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, Eds., Markov Chain Monte Carlo in Practice London, U.K., Chapman Hall, 1996.
32. M. Jerosch-Herold, X. Hu, N. Murthy, and R. Seethamraju, "Time delay for arrival of MR contrast agent in collateral-dependent myocardium," IEEE Trans. Med. Imag., vol. 23, no. 7, pp. 881-890, Jul. 2004.
33. N.-K. Tsao and T.-C. Sun, "On the numerical computation of the derivatives of a B-spline series," IMA J. Num. Anal., vol. 13, no. 3, pp. 343-364, 1993.
34. M. Leach, K. Brindle, J. Evelhoch, J. Griffiths, M. Horsman, A. Jackson, G. Jayson, I. Judson, M. Knopp, R. Maxwell, D. Mclntyre, A. Padhani, P. Price, R. Rathbone, G. Rustin, P. Tofts, G. Tozer, W. Vennart, J. Waterton, S. Williams, and P. Workman, "The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: Issues and recommendations," Br. J. Cancer, vol. 92, pp. 1599-1610, 2005.
35. M.-L. Ah-See, A. Makris, N. J. Taylor, R. Burcombe, M. Harrison, J. Stirling, P. Richman, M. Leach, and A. Padhani, "Does vascular imaging with MRI predict response to neoadjuvant chemotherapy in primary breast cancer?," in J. Clin. Oncol. (Meeting Abstracts), 2004, vol. 22, p. 582.
36. 1 -weighted dynamic contrast-enhanced MRI," in Dynamic Contrast-Enhanced Magnetic Resoncance Imaging in Oncology, A. Jackson, G. Parker, and D. Buckley, Eds. Berlin, Germany: Springer, 2005, ch. 5, pp. 69-80.
37. G. Parker, J. Suckling, S. Tanner, A. Padhani, P. Revell, J. Husband, and M. Leach, "Probing tumor microvascularity by measurement, analysis and display of contrast agent uptake kinetics," J. Magn. Res. Imag., vol. 7, pp. 564-574, 1997.
38. J. d'Arcy, D. Collins, A. Padhani, S. Walker-Samuel, J. Suckling, and M. Leach, "Informatics in radiology (inforad): Magnetic resonance imaging workbench: Analysis and visualization of dynamic contrast-enhanced MR imaging data," Radiographics, vol. 26, no. 2, pp. 621-632, 2006.
39. M. Rohrer, H. Bauer, J. Mintorovitch, M. Requardt, and H. Weinmann, "Comparison of magnetic properties of MRI contrast media solutions at different magnetic field strengths," Investigative Radiol., vol. 11, pp. 715-724, 2005.
40. A. Padhani and M. Leach, "Antivascular cancer treatments: Functional assessments by dynamic contrast-enhanced magnetic resonance imaging," Abdominal Imag., vol. 30, no. 3, pp. 325-342, 2005.
41. H. Rue, "Fast sampling of Gaussian Markov random fields," J. R. Stat. Soc. B, vol. 63, pp. 325-338, 2001.
42. C. Boetes, J. Barentsz, R. Mus, R. van der Sluis, L. van Erning, J. Hen-driks, R. Holland, and S. Ruys, "MR characterization of suspicious breast lesions with a gadolinium-enhanced TurboFLASH subtraction technique," Radiology, vol. 193, no. 3, pp. 777-781, 1994.
43. L. Kershaw and D. Buckley, "Precision in measurements of perfusion and microvascular permeability with Tl-weighted dynamic contrast-enhanced MRI,"Magn. Res. Med., vol. 56, no. 5, pp. 986-92, 2006.
44. M. Schabel and D. Parker, "Uncertainty and bias in contrast concentration measurements using spoiled gradient echo pulse sequences," Phys. Med. Biol, vol. 53, no. 9, pp. 2345-73, 2008.