Difference in tracer delay-induced effect among deconvolution algorithms in CT perfusion analysis: Quantitative evaluation with digital phantoms

Radiology

Volumn 251, Issue 1, 2009, Pages 241-249

  Kudo, Kohsuke ^a   Sasaki, Makoto ^a   Ogasawara, Kuniaki ^a   Terae, Satoshi ^b   Ehara, Shigeru ^a   Shirato, Hiroki ^b  

^a IWATE MEDICAL UNIVERSITY   (Japan)

^b HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

IOPAMIDOL; CONTRAST MEDIUM;

ADULT; ALGORITHM; ANALYTICAL ERROR; ARTICLE; BLOCK CIRCULANT SINGULAR VALUE DECOMPOSITION; BRAIN BLOOD FLOW; BRAIN PERFUSION; COMPUTER ASSISTED TOMOGRAPHY; DECONVOLUTION ALGORITHM; DELAY CORRECTED SINGULAR VALUE DECOMPOSITION; DIGITAL PHANTOM; EVALUATION; HUMAN; IMAGE ANALYSIS; IMAGING SYSTEM; MALE; MEAN TRANSIT TIME; NORMAL HUMAN; PARAMETER; PHANTOM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SINGULAR VALUE DECOMPOSITION; STANDARD SINGULAR VALUE DECOMPOSITION; TECHNIQUE; TRACER DELAY INDUCED EFFECT; BRAIN; BRAIN ANGIOGRAPHY; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; IMAGE QUALITY; INSTRUMENTATION; METABOLISM; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADULT; ALGORITHMS; BRAIN; CEREBRAL ANGIOGRAPHY; CONTRAST MEDIA; HUMANS; MALE; PHANTOMS, IMAGING; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 64949185294     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2511080983     Document Type: Article

References (24)

1. Lev MH, Segal AZ, Farkas J, et al. Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intraarterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke 2001;32:2021-2028.
2. Eastwood JD, Lev MH, Wintermark M, et al. Correlation of early dynamic CT perfusion imaging with whole-brain MR diffusion and perfusion imaging in acute hemispheric stroke. AJNR Am J Neuroradiol 2003;24:1869-1875.
3. Koenig M, Kraus M, Theek C, Klotz E, Gehlen W, Heuser L. Quantitative assessment of the ischemic brain by means of perfusion-related parameters derived from perfusion CT. Stroke 2001;32:431-437. (Pubitemid 32155230)
4. Wintermark M, Maeder P, Verdun FR, et al. Using 80 kVp versus 120 kVp in perfusion CT measurement of regional cerebral blood flow. AJNR Am J Neuroradiol 2000;21:1881-1884.
5. Hirata M, Sugawara Y, Fukutomi Y, et al. Measurement of radiation dose in cerebral CT perfusion study. Radiat Med 2005;23:97-103.
6. Wintermark M, Smith WS, Ko NU, Quist M, Schnyder P, Dillon WP. Dynamic perfusion CT: optimizing the temporal resolution and contrast volume for calculation of perfusion CT parameters in stroke patients. AJNR Am J Neuroradiol 2004;25:720-729. (Pubitemid 38657652)
7. Kealey SM, Loving VA, Delong DM, Eastwood JD. User-defined vascular input function curves: influence on mean perfusion parameter values and signal-to-noise ratio. Radiology 2004;231:587-593. (Pubitemid 38552921)
8. Fiorella D, Heiserman J, Prenger E, Partovi S. Assessment of the reproducibility of post-processing dynamic CT perfusion data. AJNR Am J Neuroradiol 2004;25:97-107. (Pubitemid 38129487)
9. Yamada K, Wu O, Gonzalez RG, et al. Magnetic resonance perfusion-weighted imaging of acute cerebral infarction: effect of the calculation methods and underlying vasculopathy. Stroke 2002;33:87-94.
10. 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.
11. Wu O, Ostergaard L, Weisskoff RM, Benner T, Rosen BR, Sorensen AG. 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 2003;50:164-174. (Pubitemid 36841872)
12. Ibaraki M, Shimosegawa E, Toyoshima H, Takahashi K, Miura S, Kanno I. Tracer delay correction of cerebral blood flow with dynamic susceptibility contrast-enhanced MRI. J Cereb Blood Flow Metab 2005;25:378-390. (Pubitemid 40315880)
13. Kudo K. Perfusion Mismatch Analyzer, version 2.0.9.0. ASIST-Japan Web site. http://asist.umin.jp/index-e.htm. Published November 2006. Updated February 2008. Accessed February 24, 2008.
14. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. I. Mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.
15. Nabavi DG, Cenic A, Craen RA, et al. CT assessment of cerebral perfusion: experimental validation and initial clinical experience. Radiology 1999;213:141-149.
16. Wirestam R, Andersson L, Ostergaard L, et al. Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques. Magn Reson Med 2000;43:691-700.
17. 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.
18. Kudo K, Terae S, Katoh C, et al. Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascularpixel elimination method: comparison with H2(15)O positron emission tomography. AJNR Am J Neuroradiol 2003;24:419-426.
19. Smith MR, Lu H, Trochet S, Frayne R. Removing the effect of SVD algorithmic artifacts present in quantitative MR perfusion studies. Magn Reson Med 2004;51:631-634. (Pubitemid 38298681)
20. Willats L, Connelly A, Calamante F. Improved deconvolution of perfusion MRI data in the presence of bolus delay and dispersion. Magn Reson Med 2006;56:146-156.
21. Calamante F, Willats L, Gadian DG, Connelly A. Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke. Magn Reson Med 2006;55:1180-1185.
22. Wu O, Ostergaard L, Koroshetz WJ, et al. Effects of tracer arrival time on flow estimates in MR perfusion-weighted imaging. Magn Reson Med 2003;50:856-864.
23. Wintermark M, Albers GW, Alexandrov AV, et al. Acute stroke imaging research roadmap. Stroke 2008;39:1621-1628.
24. Ostergaard L. Principles of cerebral perfusion imaging by bolus tracking. J Magn Reson Imaging 2005;22:710-717. (Pubitemid 41741235)