Article
Licensed
Unlicensed Requires Authentication

Tracer kinetic analysis of signal time series from dynamic contrast-enhanced MR imaging

  • , and
Published/Copyright: December 7, 2006
Biomedical Engineering / Biomedizinische Technik
From the journal Volume 51 Issue 5_6

Abstract

Rapid magnetic resonance imaging (MRI) makes it possible to detect the fast kinetics of tissue response after intravenous administration of a paramagnetic contrast medium (CM), reflecting the status of tissue microcirculation. In this paper, the basic physical and tracer kinetic principles of dynamic relaxivity and susceptibility contrast-enhanced MRI are reviewed. Quantitative analysis of data acquired is broken up into an MR-specific part, in which the signal variation observed is related to the CM concentration in the tissue, and an MR-independent part, in which the computed concentration time series are analyzed by tracer kinetic modeling to estimate well-defined physiological tissue parameters. The clinical application of dynamic MRI techniques is demonstrated by two representative studies.


Corresponding author: Prof. Dr. Gunnar Brix, Bundesamt für Strahlenschutz (BfS), Abteilung für medizinische Strahlenhygiene und Dosimetrie, Ingolstädter Landstraße 1, 85764 Oberschleissheim, Germany Phone: + 49-1888-333-2300 Fax: + 49-1888-333-2305

References

1 Brix G, Bahner M, Hoffmann U, Horvath A, Schreiber W. Regional blood flow, capillary permeability, and compartment volumes: Measurement with dynamic computed tomography – initial experience. Radiology1999; 210: 269–276.10.1148/radiology.210.1.r99ja46269Search in Google Scholar

2 Brix G, Kiessling F, Lucht R, et al. Microcirculation and microvasculature in breast tumors: Pharmacokinetic analysis of dynamic MR image series. Magn Reson Med2004; 52: 420–429.10.1002/mrm.20161Search in Google Scholar

3 Donahue KM, Weisskoff RM. Water diffusion and exchange as they influence contrast enhancement. J MRI1997; 7: 102–110.10.1002/jmri.1880070114Search in Google Scholar

4 Edelman RR, Mattle HP, Atkinson DJ, et al. Cerebral blood flow: Assessment with dynamic contrast-enhanced T2*-weighted MR imaging at 1.5 T. Radiology1990; 76: 211–220.10.1148/radiology.176.1.2353094Search in Google Scholar

5 Eisenfeld J. On mean residence times in compartments. Math Biosci1981; 57: 265–278.10.1016/0025-5564(81)90106-1Search in Google Scholar

6 Fisel CR, Ackerman JL, Buxton RB, Belliveau JW, Rosen BR, Brady TJ. MR contrast due to microscopically heterogeneous magnetic susceptibility: Numerical simulations and applications to cerebral physiology. Magn Reson Med1991; 17: 336–347.10.1002/mrm.1910170206Search in Google Scholar

7 Gadian DG, Payne JA, Bryant DJ, Young IR, Carr DH, Bydder GM. Gd-DTPA as a contrast agent in MR imaging-Theoretical projections and practical observations. J Comput Assist Tomogr1985; 9: 242–251.10.1097/00004728-198503000-00003Search in Google Scholar

8 García-Meseguer MJ, Vidal de Labra JA, García-Moreno M, García-Cánovas F, Havsteen BH, Varón R. Mean residence times in linear compartmental systems. Symbolic formulae for their direct evaluation. Bull Math Biol2003; 65: 279–308.10.1016/S0092-8240(02)00096-4Search in Google Scholar

9 Griebel J, Pahernik, SA, Lucht R, et al. Perfusion and permeability: Can both parameters be evaluated separately from dynamic MR data. In: Proceedings of the International Society of Magnetic Resonance in Medicine, 2001: 629.Search in Google Scholar

10 Gückel F, Brix G, Schmiedek P, et al. Nicht-invasive Quantifizierung des zerebralen Blutvolumens und Blutflusses mit der dynamischen MR-Tomographie: Untersuchungen an Probanden und Patienten mit cerebrovaskulärer Insuffizienz. Radiologe1995; 35: 792–800.Search in Google Scholar

11 Hellwig G. Internal BfS Report. 2003.Search in Google Scholar

12 Koenig SH, Spiller M, Brown RD, Wolf GL. Relaxation of water protons in the intra- and extracellular regions of blood containing Gd(DTPA). Magn Reson Med1986; 3: 791–795.10.1002/mrm.1910030514Search in Google Scholar PubMed

13 Leenders KL, Perani D, Lammertsma AA, et al. Cerebral blood flow, blood volume and oxygen utilization. Normal values and effect of age. Brain1990; 113: 27–47.10.1093/brain/113.1.27Search in Google Scholar PubMed

14 Meier P, Zierler KL. On the theory of the indicator-dilution method for measurement of blood flow and volume. J Appl Physiol1954; 6: 731–744.10.1152/jappl.1954.6.12.731Search in Google Scholar

15 Mørkenborg J, Taaghehøj JF, Væver PN, Frøkær J, Djurhuus JC, Stødkilde-Jørgensen H. In vivo measurement of T1 and T2 relaxivities in the kidney cortex of the pig – based on a two-compartment steady-state model. Magn Reson Imaging1998; 6: 933–942.10.1016/S0730-725X(98)00101-5Search in Google Scholar

16 Moseley ME, Vexler Z, Asgari HS, et al. Comparison of Gd- and Dy-chelates for T2* contrast-enhanced imaging. Magn Reson Med1991; 22: 259–264.10.1002/mrm.1910220220Search in Google Scholar PubMed

17 Morgan LO, Nolle AW. Proton spin relaxation in aqueous solutions of paramagnetic ions. II. Cr+++, Mn++, Ni++, Cu++, and Gd+++. J Chem Phys1959; 31: 365–368.10.1063/1.1730360Search in Google Scholar

18 Nekolla S, Gneiting T, Syha J, Deichmann R, Haase A. T1 maps by K-space reduced snapshot-FLASH MRI. J Comput Assist Tomogr1992; 16: 327–332.10.1097/00004728-199203000-00031Search in Google Scholar PubMed

19 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 Med1996; 36: 715–25.10.1002/mrm.1910360510Search in Google Scholar PubMed

20 Pahernik S, Griebel J, Botzlar A, et al. Quantitative imaging of tumor blood flow by contrast enhanced magnetic resonance imaging. Br J Cancer2001; 85: 1655–1663.10.1054/bjoc.2001.2157Search in Google Scholar PubMed PubMed Central

21 Perman WH, Gado MH, Larson KB, Perlmutter JS. Simultaneous MR acquisition of arterial and brain signal-time curves. Magn Reson Med1992; 28: 74–83.10.1002/mrm.1910280108Search in Google Scholar PubMed

22 Press WM, Teukolsky SA, Vetterling WT, Flannery BP. Numerical recipes in C: The art of scientific computing. 2nd ed. Cambridge: Cambridge University Press 1992.Search in Google Scholar

23 Rempp K, Brix G, Wenz F, Becker C, Gückel F, Lorenz WJ. Quantitative assessment of cerebral blood flow and volume by dynamic susceptibility-enhanced MR imaging. Radiology1994; 193: 637–641.10.1148/radiology.193.3.7972800Search in Google Scholar PubMed

24 Rosen BR, Belliveau JW, Chien D. Perfusion imaging by nuclear magnetic resonance. Magn Reson Q1989; 5: 263–281.Search in Google Scholar

25 Schreiber W, Gückel F, Stritzke P, Schmiedek P, Schwarz A., Brix, G. Cerebral blood flow and cerebrovascular reserve capacity: Estimation by dynamic magnetic resonance imaging. J Cereb Blood Flow Metab1998; 18: 1143–1156.10.1097/00004647-199810000-00011Search in Google Scholar PubMed

26 Stepanow B, Blüml S, Brix G. Comparison of T1 measurements by means of TurboFLASH techniques performed on a conventional whole-body MR imager. In: SMRM 12th Scientific Meeting, Book of Abstracts, Vol 2, 1993: 742.Search in Google Scholar

27 Strich G, Hagan PL, Gerber KH, Slutsky RA. Tissue distribution and magnetic resonance spin lattice relaxation effects of gadolinium-DTPA. Radiology1985; 154: 723–726.10.1148/radiology.154.3.3969477Search in Google Scholar

28 Stritzke P, King MA. Vaknine R, Goldsmith SJ. Deconvolution using orthogonal polynomials in nuclear medicine: A method for forming quantitative functional images from kinetic studies. IEEE Trans Med Imaging1990; 9: 11–23.10.1109/42.52978Search in Google Scholar

29 Vaupel P, Höckel M. Blood supply, oxygenation status and metabolic micromilieu of breast cancers. Characterization and therapeutic relevance. Int J Oncol2000; 17: 869–879.10.3892/ijo.17.5.869Search in Google Scholar

30 Villringer A, Rosen BR, Belliveau JW, et al. Dynamic imaging with lanthanide chelates in normal brain: Contrast due to magnetic susceptibility effects. Magn Reson Med1988; 6: 164–174.10.1002/mrm.1910060205Search in Google Scholar

31 Wenz F, Rempp K, Brix G, et al. Age-dependency of the regional cerebral blood volume (rCBV) measured with dynamic susceptibility contrast MR imaging. Magn Reson Imaging1996; 14: 157–162.10.1016/0730-725X(95)02058-2Search in Google Scholar

32 Zierler KL. Theoretical basis of indicator-dilution methods for measuring flow and volume. Circulation Res1962; 10: 393–407.10.1161/01.RES.10.3.393Search in Google Scholar

33 Zierler KL. Theory of use of indicators to measure blood flow and extracellular volume and calculation of transcapillary movement of tracers. Circulation Res1963; 12: 464–471.10.1161/01.RES.12.5.464Search in Google Scholar

34 Zierler KL. Equations for measuring blood flow by external monitoring of radioisotopes. Circulation Res1965; 16: 309–321.10.1161/01.RES.16.4.309Search in Google Scholar

Published Online: 2006-12-07
Published in Print: 2006-12-01

©2006 by Walter de Gruyter Berlin New York

Articles in the same Issue

  1. Biosignal Processing: various concepts, various applications – but a common drive
  2. Detection of directed information flow in biosignals
  3. Data mining in medical time series
  4. State-space analysis of joint angle kinematics in normal treadmill walking
  5. From diagnostics to therapy – conceptual basis for real-time movement feedback in rehabilitation medicine
  6. Investigations of back muscle fatigue by simultaneous 31P MRS and surface EMG measurements
  7. Application of EMG signals for controlling exoskeleton robots
  8. Processing of physiological signals in automotive research
  9. Tracer kinetic analysis of signal time series from dynamic contrast-enhanced MR imaging
  10. A fiber optic sensor system for control of rate-adaptive cardiac pacemakers and implantable defibrillators / Ein faseroptisches Sensorsystem zur Steuerung von frequenzadaptiven Herzschrittmachern und implantierbaren Defibrillatoren
  11. Investigation of the influence of blood flow rate on large vessel cooling in hepatic radiofrequency ablation / Untersuchung des Einflusses der Blutflussgeschwindigkeit auf die Gefäßkühlung bei der Radiofrequenzablation von Lebertumoren
  12. Determination of oxygen saturation and hematocrit of flowing human blood using two different spectrally resolving sensors / Bestimmung von Sauerstoffsättigung und Hämatokrit an fließendem Blut mit zwei verschiedenen spektralen Sensoren
  13. Karl Fischer titration and coulometry for measurement of water content in small cartilage specimens / Bestimmung des Wassergehalts in kleinen Knorpelproben durch Karl-Fischer-Titration und Coulometrie
  14. Synergistic effects of mixed TiAlV and polyethylene wear particles on TNFα response in THP-1 macrophages / Synergistische Effekte gemischter TiAlV- und Polyethylen-Abriebpartikel auf die TNFα-Antwort in THP-1 Makrophagen
  15. FE-Simulation zur Lokalisierung hoch beanspruchter Bereiche in der Hüftpfanne von Endoprothesen / FE-analysis of surface stresses for the tribological system in total hip prostheses
  16. Partial hemi-resurfacing of the hip joint – a new approach to treat local osteochondral defects? / Gelenkoberflächen-Teilersatz am Hüftgelenk – ein neuer Ansatz zur Behandlung osteochondraler Defekte?
  17. Stellungnahme zu „Der Einfluss von Laserlichtbestrahlung niedriger Leistungsdichte auf einen experimentellen Knorpelschaden im Kniegelenk des Kaninchens: eine in vivo-Untersuchung unter Berücksichtigung makroskopischer, histologischer und immunhistochemischer Veränderungen”; Biomed Tech 2006; 51: 131–138
  18. Contents index volume 51 (2006)
  19. Author index volume 51 (2006)
Downloaded on 12.4.2026 from https://www.degruyterbrill.com/document/doi/10.1515/BMT.2006.065/html
Scroll to top button