Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix

Magnetic Resonance in Medicine

Volumn 50, Issue 1, 2003, Pages 164-174

  Wu, Ona ^a   Østergaard, Leif ^b   Weisskoff, Robert M ^c   Benner, Thomas ^a   Rosen, Bruce R ^a   Sorensen, A Gregory ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b AARHUS UNIVERSITY HOSPITAL   (Denmark)

^c EPIX Pharmaceuticals   (United States)

Author keywords

Cerebral blood flow; Dynamic susceptibility contrast enhanced magnetic resonance imaging; Humans; Ischemia; Perfusion weighted imaging

Indexed keywords

BLOOD; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; NUMERICAL METHODS; TIMING CIRCUITS; TISSUE; TRACERS;

CEREBRAL BLOOD FLOW; DYNAMIC SUSCEPTIBILITY CONTRAST; HUMANS; ISCHEMIA; PERFUSION-WEIGHTED IMAGING;

SINGULAR VALUE DECOMPOSITION;

TRACER;

ADULT; AGED; ANALYTIC METHOD; ARTICLE; BRAIN BLOOD FLOW; BRAIN ISCHEMIA; BRAIN PERFUSION; FEMALE; HEMODYNAMICS; HUMAN; MALE; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; RETROSPECTIVE STUDY;

EID: 0037587219     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/mrm.10522     Document Type: Article

References (26)

1. Baird AE, Warach S. Magnetic resonance imaging of acute stroke. J Cereb Blood Flow Metab 1998;18:583-609.
2. Sorensen AG, Copen WA, Ostergaard L. Buonanno FS, Gonzalez RG, Rordorf G, Rosen BR, Schwamm LH, Weisskoff RM, Koroshetz WJ. Hyperacute stroke: simultaneous measurement of relative cerebral blood volume, relative cerebral blood flow, and mean tissue transit time. Radiology 1999;210:519-527.
3. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.
4. Ostergaard 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.
5. 2O positron emission tomography in humans. J Cereb Blood Flow Metab 1998;18:935-940.
6. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000;44:466-473.
7. Wu O, Ostergaard L, Benner T, Rosen BR, Weisskoff RM, Sorensen AG. Perfusion calculations using singular value decomposition are biased by tracer arrival timing [abstract]. In: Proceedings of the 10th Annual Meeting of ISMRM, Honolulu, 2002.
8. Wirestam R, Andersson L, O̊stergaard L, Bolling M, Aunola JP, Lindgren A, Geijer B, Holtas S, Stahlberg F. Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques. Magn Reson Med 2000;43:691-700.
9. Vonken EP, Beekman FJ, Bakker CJ, Viergever MA. Maximum likelihood estimation of cerebral blood flow in dynamic susceptibility contrast MRI, Magn Reson Med 1999;41:343-350.
10. Ostergaard L, Chesler DA, Weisskoff RM, Sorensen AG, Rosen BR. Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. J Cereb Blood Flow Metab 1999;19:690-699.
11. Smith AM, Grandin CB, Duprez T, Mataigne F, Cosnard G. Whole brain quantitative CBF and CBV measurements using MRI bolus tracking: comparison of methodologies. Magn Reson Med 2000;43:559-564.
12. Grandin CB, Duprez TP, Smith AM, Oppenheim C, Peeters A, Robert AR, Cosnard G. Which MR-derived perfusion parameters are the best predictors of infarct growth in hyperacute stroke? Comparative study between relative and quantitative measurements. Radiology 2002;223: 361-370.
13. Lythgoe DJ, Ostergaard L, William SC, Cluckie A, Buxton-Thomas M, Simmons A, Markus HS. Quantitative perfusion imaging in carotid artery stenosis using dynamic susceptibility contrast-enhanced magnetic resonance imaging. Magn Reson Imaging 2000;18:1-11.
14. Rosen BR, Belliveau JW, Chien D. Perfusion imaging by nuclear magnetic resonance, Magn Reson Q 1989;5:263-281.
15. Porkka L, Neuder M, Hunter G, Weisskoff RM, Belliveau JW, Rosen BR. Arterial input function measurement with MRI. In: Proceedings of the 10th Annual Meeting of SMRM, San Francisco, 1991. p 120.
16. Oppenheim AV, Schafer RW. The discrete Fourier transform. In: Discrete-time signal processing. Englewood Cliffs, NJ: Prentice Hall; 1989. p 514-580.
17. Lagendijk RL, Biemond J. Image formation models. In: Iterative identification and restoration of images. Boston: Kluwer Academic Publishers; 1991. p 13-30.
18. Liu HL, Pu Y, Liu Y, Nickerson L, Andrews T, Fox PT, Gao JH. Cerebral blood flow measurement by dynamic contrast MRI using singular value decomposition with an adaptive threshold. Magn Reson Med 1999;42: 167-172.
19. Gobbel GT, Fike JR. A deconvolution method for evaluating indicator-dilution curves, Phys Med Biol 1994;39:1833-1854.
20. Stewart GN. Researches on the circulation time in organs and on the influences which affect it (Parts I-III). J Physiol 1894;15:1.
21. Henkelman RM. Measurement of signal intensities in the presence of noise in MR images, Med Phys 1985;12:232-233.
22. Weisskoff RM, Zuo CS, Boxerman JL, Rosen BR. Microscopic susceptibility variation and transverse relaxation: theory and experiment. Magn Reson Med 1994;31:610-610.
23. Wirestam R, Ryding E, Lindgren A, Geijer B, Ostergaard L, Andersson L, Holtas S, Stahlberg F. Regional cerebral blood flow distributions in normal volunteers: dynamic susceptibility contrast MRI compared with 99mTc-HMPAO SPECT. J Comput Assist Tomogr 2000;24:526-530.
24. Tikhonov AN, Arsenin VY. Solutions of ill-posed problems, New York: Halsted Press; 1977, 258 p.
25. Alsop D, Wedmid A, Schlaug G. Defining a local input function for perfusion quantification with bolus contrast MRI [abstract]. In: Proceedings of the 10th Annual Meeting of ISMRM, Honolulu, 2002.
26. Wu O, Koroshetz WJ, Ostergaard L, Buonanno FS, Copen WA, Gonzalez RG, Rordorf G, Rosen BR, Schwamm LH, Weisskoff RM, Sorensen AG. Predicting tissue outcome in acute human cerebral ischemia using combined diffusion- and perfusion-weighted MR imaging. Stroke 2001; 32:933-942.