Correcting the effects of background microcirculation in the measurement of arterial input functions using dynamic susceptibility contrast MRI of the brain

Magnetic Resonance Imaging

Volumn 24, Issue 5, 2006, Pages 619-623

  Thornton, Robert J ^a,b   Jones, Jeremy Y ^a,b   Wang, Zhiyue J ^a,b  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

^b TEXAS CHILDREN S HOSPITAL   (United States)

Author keywords

Arterial input function; Dynamic susceptibility contrast imaging; Mean transit time

Indexed keywords

GADOLINIUM PENTETATE;

ARTICLE; BRAIN REGION; BRAIN TUMOR; COMPARATIVE STUDY; COMPUTER SIMULATION; CONTROLLED STUDY; DOSE RESPONSE; GRAY MATTER; HUMAN; HUMAN TISSUE; IN VIVO STUDY; METHODOLOGY; MICROCIRCULATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SINGLE DRUG DOSE; STUDENT T TEST; TISSUE PERFUSION; TWO TAILED TEST; WHITE MATTER;

ALGORITHMS; ARTIFACTS; BRAIN; CEREBRAL ARTERIES; CEREBROVASCULAR CIRCULATION; CONTRAST MEDIA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MAGNETICS; MICROCIRCULATION; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33646850867     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2005.09.014     Document Type: Article

References (23)

1. Rosen B.R., Belliveau J.W., Aronen H.J., et al. Susceptibility contrast imaging of cerebral blood volume: human experience. Magn Reson Med 22 (1991) 293-299
2. Kiselev V.G. On the theoretical bases of perfusion measurements by dynamic susceptibility contrast MRI. Magn Reson Med 46 (2001) 1113-1122
3. Lev M.H., and Rosen B.R. Clinical applications of intracranial perfusion MR imaging. Neuroimaging Clin N Am 9 (1999) 309-331
4. Cha S. Perfusion MR imaging: basic principles and clinical applications. Magn Reson Imaging Clin N Am 11 (2003) 403-413
5. Grandin C.B. Assessment of brain perfusion with MRI: methodology and application to acute stroke. Neuroradiology 45 (2003) 755-766
6. Covarrubias D.J., Rosen B.R., and Lev M.H. Dynamic magnetic resonance perfusion imaging of brain tumors. The Oncologist 9 (2004) 528-537
7. Calamente F., Gadian D.G., and Connelly A. Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke: assumptions, limitations, and potential implications for clinical use. Stroke 33 (2002) 1146-1151
8. van Osch M.J., Vonken E.J., Viergever M.A., van der Grond J., and Bakker C.J. Measuring the arterial input function with gradient echo sequences. Magn Reson Med 49 (2003) 1067-1076
9. Ostergaard L., Sorensen A., Kwong K., Weisskoff R., Gyldensted C., and Rosen B. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages: Part II. Experimental comparison and preliminary results. Magn Reson Med 36 (1996) 726-736
10. Rausch M., Scheffler K., Rudin M., and Radü E.W. Analysis of input functions from different arterial branches with gamma variate functions and cluster analysis for quantitative blood volume measurements. Magn Reson Imaging 18 (2000) 1235-1243
11. Duhamel G., de Bazelaire M., and Alsop D.C. Input function from echoplanar hemodynamic studies using dynamic susceptibility contrast: A numerical model compared to in vivo results. Proc Intl Soc Mag Reson Med 11 (2003) 2199
12. Butman J.A., and Tasciyan T. Automated computation of the arterial input function for dynamic susceptibility bolus tracking brain perfusion MRI. Proc Intl Soc Magn Reson Med 13 (2005) 1126
13. Murase K., Kikuchi K., Miki H., Shimizu T., and Ikezoe J. Determination of arterial input functions using fuzzy clustering for quantification of cerebral blood flow with dynamic susceptibility contrast-enhanced MR imaging. J Magn Reson Imaging 13 (2001) 797-806
14. Calemente F., Gadian D.G., and Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 44 (2000) 466-473
15. Wu O., Ostergaard L., Koroshetz W.J., et al. Effects of tracer arrival time on flow estimates in MR perfusion-weighted imaging. Magn Reson Med 50 (2003) 856-864
16. Calamente F., Yim P.J., and Cebral J.R. Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics. NeuroImage 19 (2003) 341-353
17. Liu H.L., Pu Y., Liu Y., et al. Cerebral blood flow measurement by dynamic contrast MRI using singular value decomposition with an adaptive threshold. Magn Reson Med 42 (1999) 167-172
18. Ostergaard L. Cerebral perfusion imaging by bolus tracking. Top Magn Reson Imaging (2004) 3-9
19. Perkio J., Aronen H.J., Kangasmaki A., et al. Evaluation of four postprocessing methods for determination of cerebral blood volume and mean transit time by dynamic susceptibility contrast imaging. Magn Reson Med 47 (2002) 973-981
20. Takahashi T., Shirane R., Sato S., and Yoshimoto T. Developmental changes of cerebral blood flow and oxygen metabolism in children. Am J Neuroradiol 20 (1999) 917-922
21. Ibaraki M., Shimosegawa E., Toyoshima H., Takahashi K., Miura S., and Kanno I. Tracer delay correction of cerebral blood flow with dynamic susceptibility contrast-enhanced MRI. J Cereb Blood Flow Metab 25 (2005) 378-390
22. Wu O., Ostergaard L., Weisskoff R.M., Benner T., Rosen B.R., and Sorensen A.G. Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix. Magn Reson Med 50 (2003) 164-174
23. Knutsson L., Stahlberg F., and Wirestam R. Aspects on the accuracy of cerebral perfusion parameters obtained by dynamic susceptibility contrast MRI: a simulation study. Magn Reson Imaging 22 (2004) 789-798