The Akaike information criterion in DCE-MRI: Does it improve the haemodynamic parameter estimates?

Physics in Medicine and Biology

Volumn 57, Issue 11, 2012, Pages 3609-3628

  Luypaert, Robert ^a   Ingrisch, Michael ^b   Sourbron, Steven ^c   De Mey, Johan ^a  

^a UNIVERSITY HOSPITAL BRUSSELS   (Belgium)

^b LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^c UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AKAIKE CRITERION; AKAIKE INFORMATION CRITERION; AKAIKE WEIGHTS; BEST MODEL; COMPETING MODELS; COMPLEX MODEL; DCE-MRI; EXCHANGE MODELS; GOODNESS OF FIT; MULTIMODEL APPROACH; PARAMETER ESTIMATE; PHARMACOKINETIC MODEL; SIMULATION STUDIES; WEIGHTED MODELS;

TISSUE;

PARAMETER ESTIMATION;

CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ARTICLE; HEMODYNAMICS; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL;

CONTRAST MEDIA; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL;

EID: 84861413160     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/57/11/3609     Document Type: Article

References (20)

1. Ahearn T S, Staff R T, Redpath T W and Semple S I K 2005 The use of the LevenbergMarquardt curve-fitting algorithm in pharmacokinetic modelling of DCE-MRI data Phys. Med. Biol. 50 N8592
2. Akaike H 1974 A new look at the statistical model identification IEEE Trans. Autom. Control 19 71623
3. Armitage P, Behrenbruch C, Brady M and Moore N 2005 Extracting and visualizing physiological parameters using contrast-enhanced magnetic resonance imaging of the breast Med. Image Anal. 9 31529 (Pubitemid 40812566)
4. Balvay D, Frouin F, Calmon G, Bessoud B, Kahn E, Siauve N, Clément O and Cuenod C A 2005 New criteria for assessing fit quality in dynamic contrast-enhanced T1-weighted MRI for perfusion and permeability imaging Magn. Reson. Med. 54 86877 (Pubitemid 41457058)
5. Breiman L 1992 The little bootstrap and other methods for dimensionality selection in regression: x-fixed prediction error J. Am. Stat. Assoc. 87 73854
6. Brix G, Kiessling F, Lucht R, Darai S, Wasser K, Delorme S and Griebel J 2004 Microcirculation and microvasculature in breast tumors: pharmacokinetic analysis of dynamic MR image series Magn. Reson. Med. 52 4209 (Pubitemid 39025290)
7. Brix G, Zwick S, Kiessling F and Griebel J 2009 Pharmacokinetic analysis of tissue microcirculation using nested models: multimodel inference and parameter identifiability Med. Phys. 36 292333
8. Burnham K P and Anderson D R 2004 Multimodel inference. Understanding AIC and BIC in model selection Sociol. Methods Res. 33 261304 (Pubitemid 39519124)
9. Donaldson S B, West C M L, Davidson S E, Carrington B M, Hutchison G, Jones A P, Sourbron S P and Buckley D L 2010 A comparison of tracer kinetic models for T1- weighted DCE MRI: application in carcinoma of the cervix Magn. Reson. Med. 63 691700
10. Ewing J R et al 2006 Model selection in magnetic resonance imaging measurements of vascular permeability: gadomer in a 9L model of rat cerebral tumor J. Cereb. Blood Flow Metab. 26 31020
11. Geurts P 2005 Bias versus variance decomposition for regression and classification Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers ed O Maimon and L Rokach (New York: Springer) pp 74964
12. Ingrisch M, Sourbron S, Reiser M F and Peller M 2009 Model selection in dynamic contrast enhanced MRI: the Akaike information criterion Proc. IFMBE: Information and Communication in Medicine, Telemedicine and e-Health ed O Dössel and W C Schlegel (Berlin: Springer) pp 3568
13. Luypaert R, Sourbron S and de Mey J 2011 Validity of perfusion parameters obtained using the modified Tofts model: a simulation study Magn. Reson. Med. 65 14917
14. Luypaert R, Sourbron S, Makkat S and de Mey J 2010 Error estimation for perfusion parameters obtained using the two-compartment exchange model in dynamic contrast-enhanced MRI: a simulation study Phys. Med. Biol. 55 643143
15. Moré J J, Garbow B S and Hillstrom K E 1980 User guide for MINPACK-1 Argonne National Laboratory Report ANL-80-74 (Argonne, IL: Argonne National Laboratory)
16. Patlak C and Blasberg R 1985 Graphical evaluation of blood to brain transfer constants from multiple time up take data. Generalizations J. Cereb. Blood Flow Metab. 5 58490 (Pubitemid 16218234)
17. Roberts H C, Roberts T P L, Brasch R C and Dillon W P 2000 Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade Am. J. Neuroradiol. 21 8919 (Pubitemid 30262836)
18. Sourbron S, Ingrisch M, Siefert A, Reiser M and Herrmann K 2009 Quantification of cerebral blood flow, cerebral blood volume, and bloodbrain-barrier leakage with DCE-MRI Magn. Reson. Med. 62 20517
19. Sourbron S P and Buckley D L 2011 On the scope and interpretation of the Tofts models for DCE-MRI Magn. Reson. Med. 66 73545
20. Tofts P S et al 1999 Estimating kinetic parameters from dynamic contrast-enhanced T1-weighted MRI of a diffusible tracer: standardized quantities and symbols J. Magn. Reson. Imaging 10 22332 (Pubitemid 29463104)