Maximum likelihood estimation of cerebral blood flow in dynamic susceptibility contrast MRI

Magnetic Resonance in Medicine

Volumn 41, Issue 2, 1999, Pages 343-350

  Vonken, Evert Jan P A ^a,b   Beekman, Freek J ^a   Bakker, Chris J G ^a   Viergever, Max A ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b Department of Cell Biology   (Netherlands)

Author keywords

Arterial input function; Cerebral blood flow (CBF); Deconvolution; Dynamic susceptibility contrast magnetic resonance imaging (DSC MRI); Maximum likelihood expectation maximization (ML EM); Perfusion

Indexed keywords

BLOOD; COMPUTERIZED TOMOGRAPHY; DECONVOLUTION; HEMODYNAMICS; IMAGE SEGMENTATION; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; TISSUE;

ARTERIAL INPUT FUNCTION; CEREBRAL BLOOD FLOW; DYNAMIC SUSCEPTIBILITY CONTRAST MAGNETIC RESONANCE IMAGING; MAXIMUM-LIKELIHOOD EXPECTATION MAXIMIZATIONS; PERFUSION;

FUNCTIONAL NEUROIMAGING;

ADULT; ALGORITHM; ARTICLE; BRAIN BLOOD FLOW; BRAIN DISEASE; CASE REPORT; CONTRAST RADIOGRAPHY; FEMALE; GRAY MATTER; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; TISSUE REACTION; WHITE MATTER;

EID: 0032966087     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1522-2594(199902)41:2<343::AID-MRM19>3.0.CO;2-T     Document Type: Article

References (28)

1. Fritz-Hansen T, Rostrup E, Larsson HBW, Sondergaard L, Ring P, Hendriksen O. Measurement of the arterial concentration of Gd-DTPA using MRI: a step toward quantitative perfusion imaging. Magn Reson Med 1996;36:225-231.
2. Runge VM, Kirsch JE, Wells JW, Dunworth JN, Hilaire L, Woolfolk CE. Repeat cerebral blood volume assessment with first-pass MR imaging. J Magn Reson Imaging 1994;4:457-461.
3. Bahn MM. A single-step method for estimation of local cerebral blood volume from susceptibility contrast MRI images. Magn Reson Med 1995;33:309-317.
4. Meier P, Zierler KL. On the theory of the indicator-dilution method for measurement of blood flow and volume. J Appl Physiol 1954;6:731-744.
5. Leenders KL, Perani D, Lammertsma AA, Heather JD, Buckingham P, Healy MJR, Gibbs JM, Wise RJS, Hatazawa J, Herold S, Beaney RP, Brooks DJ, Spinks T, Rhodes C, Frackowiak RSJ, Jones T. Cerebral blood flow, blood volume and oxygen utilization. Normal values and effect of age. Brain 1990;113:27-47.
6. Gückel FJ, Brix G, Schmiedek P, Piepgras A, Becker G, Köpke J, Gross H, Georgi M. Cerebrovascular reserve capacity in patients with occlusive cerebrovascular disease: assessment with dynamic susceptibility contrast. Radiology 1996;201:405-412.
7. 2 measurement during Gd-DTPA bolus passage using EPI. In: Proceedings of the ISMRM 4th Scientific Meeting and Exhibition, New York. p 1297.
8. 2-weighted gadolinium-enhanced perfusion imaging in patients with acute cerebral ischemia. Neurology 1997;48:673-679.
9. Rempp KA, Brix G, Wenz F, Becker CR, Gückel F, Lorenz WJ. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 1994;193:637-641.
10. Perman WH, Gado MH, Larson KB, Perlmutter JS. Simultaneous MR acquisition of arterial and brain signal-time curves. Magn Reson Med 1992;28:74-83.
11. Scholdei R, Wenz F, Rempp K, Schreiber W, Fuss M, Essig M, Brix G. Determination of the arterial input function (AIF) in dynamic susceptibility contrast MRI (DSC). In: Proceedings of the SMR 4th Scientific Meeting and Exhibition, New York, 1996. p 1301.
12. Østergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurements of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.
13. Zierler KL. Circulation times and the theory of indicator-dilution methods for determining blood flow and volume. In: Handbook of physiology, section 2: circulation, vol 1. Baltimore, Williams & Wilkins; 1962. p 585-615.
14. Østergaard L, Sorensen AG, Kwong KK, Weisskoff RM, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results. Magn Reson Med 1996;36:726-736.
15. Press WH, Flannery BP, Teukolsky SA, Vetterling WT. Numerical recipes in C: the art of scientific computing. Cambridge: Cambridge University Press; (1988).
16. Shepp LA, Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans Med Imaging 1982;1:113-122.
17. Tsui BMW, Zhao XD, Frey EC, Gullberg GT. Comparison between ML-EM and WLS-CG algorithms for SPECT image reconstruction. IEEE Trans Nucl Sci 1991;38:1766-1772.
18. Fisel CR, Ackerman JL, Buxton RB, Garrido L, Belliveau JW, Rosen BR, Brady TJ. MR contrast due to microscopically heterogeneous magnetic susceptibility: numerical simulations and applications to cerebral physiology. Magn Reson Med 1991;17:336-347.
19. Boxerman JL, Hamberg LM, Rosen BR, Weisskoff RM. MR contrast due to intravascular magnetic susceptibility perturbations. Magn Reson Med 1995;34:555-566.
20. Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B 1977;1-38.
21. Lange K, Carson R. EM reconstruction algorithms for emission and transmission tomography. J Comput Assist Tomogr 1984;8:306-316.
22. Llacer J, Veklerov E, Coakley KJ, Hoffman EJ, Nunez J. Statistical analysis of maximum likelihood estimator images of human brain FDG PET studies. IEEE Trans Med Imaging 1993;12:215-231.
23. Snyder DL, Miller MI, Thomas LJ, Politte DG. Noise and edge artifacts in maximum likelihood reconstruction for emission tomography. IEEE Trans Med Imaging 1987;6:228-238.
24. Miller TR, Wallis JW. Clinically important characteristics of maximum likelihood reconstruction. J Nucl Med 1992;33:1678-1684.
25. Beekman FJ, Slijpen ETP, Niessen WJ. Selection of task-dependent diffusion filters for the post-processing of SPECT images. Phys Med Biol 1997;43:713-730.
26. Vonken EPA, Bakker CJG, Viergever MA. Inter- and intra-person variation in quantitative dynamic susceptibility contrast MRI. In: Proceedings of the ISMRM 6th Annual Meeting, Sydney, 1998.
27. Gudbjartsson H, Patz S. The Rician distribution of noisy MRI data. Magn Reson Med 1995;34:910-914.
28. Barrett HH. Objective assessment of image quality: effects of noise and object variability. J Opt Soc Am 1990;7:1266-1278.