User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Cluster analysis of BOLD fMRI time series in tumors to study the heterogeneity of hemodynamic response to treatment.

Primary tabs

Baudelet, Christine [UCL] Gallez, Bernard [UCL]

BOLD-contrast functional MRI (fMRI) has been used to assess the evolution of tumor oxygenation and blood flow after treatment. The aim of this study was to evaluate K-means-based cluster analysis as a exploratory, data-driven method. The advantage of this approach is that it can be used to extract information without the need for prior knowledge concerning the hemodynamic response function. Two data sets were acquired to illustrate different types of BOLD fMRI response inside tumors: the first set following a respiratory challenge with carbogen, and the second after pharmacological modulation of tumor blood flow using flunarizine. To improve the efficiency of the clustering, a power density spectrum analysis was first used to isolate voxels for which signal changes did not originate from noise or linear drift. The technique presented here can be used to assess hemodynamic response to treatment, and especially to display areas of the tumor with heterogeneous responses.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2003
Journal information "Magnetic resonance in medicine" - Vol. 49, no. 6, p. 985-990 (2003)
Peer reviewed yes
Publisher Wiley (New-York)
issn 0740-3194
Publication status Publié
Affiliations UCL - MD/FARM - Ecole de pharmacie
UCL - (SLuc) Service de médecine nucléaire
MESH Subject Animals ; Calcium Channel Blockers - pharmacology ; Cluster Analysis ; Data Interpretation, Statistical ; Fibrosarcoma - blood supply - physiopathology ; Flunarizine - pharmacology ; Hindlimb ; Magnetic Resonance Imaging ; Male ; Mice ; Oxygen Consumption - drug effects ; Regional Blood Flow - drug effects
Keywords Tumor ; MRI ; BOLD ; Oxygen ; K-means ; Cluster analysis
Links
  1. Ogawa, Proc Natl Acad Sci USA, 87, 9868 (1990)
  2. Howe, NMR Biomed, 14, 497 (2001)
  3. Robinson, Br J Cancer, 75, 1000 (1997)
  4. Peller, Magn Reson Imaging, 16, 799 (1998)
  5. Al-Hallaq, Int J Radiat Oncol Biol Phys, 47, 481 (2000)
  6. Landuyt, Eur Radiol, 11, 2332 (2001)
  7. Baudelet, Magn Reson Med, 48, 980 (2002)
  8. Jordan, Int J Radiat Oncol Biol Phys, 48, 565 (2000)
  9. Friston, Hum Brain Mapp, 2, 189 (1995)
  10. Bandettini, Magn Reson Med, 30, 161 (1993)
  11. Lai, Magn Reson Imaging, 17, 827 (1999)
  12. Biswal, J Comput Assist Tomogr, 23, 265 (1999)
  13. Quigley, AJNR Am J Neuroradiol, 23, 49 (2002)
  14. Baumgartner, J Magn Reson Imaging, 7, 1094 (1997)
  15. Filzmoser, Magn Reson Imaging, 17, 817 (1999)
  16. Goutte, Neuroimage, 9, 298 (1999)
  17. Fischer, Magn Reson Med, 41, 124 (1999)
  18. Baune, Neuroimage, 9, 477 (1999)
  19. Fadili, Hum Brain Mapp, 10, 160 (2000)
  20. Yee, Magn Reson Imaging, 20, 17 (2002)
  21. Milas, Cancer Res, 34, 61 (1974)
  22. Jarmasz, Artif Intell Med, 25, 45 (2002)
  23. Introduction to digital signal processing. New York: Macmillan; 1988. p 795-841.
  24. Clustering algorithms. New York: John Wiley & Sons; 1975. p 84-105.
  25. Smith, Neuroimage, 9, 526 (1999)
  26. Fenton, Int J Radiat Oncol Biol Phys, 22, 447 (1992)
  27. Dewhirst, Radiat Res, 132, 61 (1992)
  28. Gallez, Magn Reson Med, 42, 627 (1999)
  29. Zlotecki, Microvasc Res, 50, 429 (1995)
  30. Shan, Br J Cancer, 76, 429 (1997)
  31. Modification of blood flow. In: editors. Blood perfusion and microenvironment of human tumor. Berlin: Springer Verlag; 1998. p 193-207.
Bibliographic reference Baudelet, Christine ; Gallez, Bernard. Cluster analysis of BOLD fMRI time series in tumors to study the heterogeneity of hemodynamic response to treatment.. In: Magnetic resonance in medicine, Vol. 49, no. 6, p. 985-990 (2003)
Permanent URL http://hdl.handle.net/2078.1/9469