Vessel size imaging in humans

The relation of contrast‐enhanced transverse relaxation rates R2* and R2 provides in vivo mapping of the mean caliber of cerebral vessels. This technique is referred to as vessel size imaging (VSI). Here a quantitative assessment of the vessel caliber in brain tumor patients is presented. The obtained mean vessel size shows sensitivity to the tumor type. A theoretical analysis is given to elucidate the morphological information content of VSI in the context of vessel architecture. The simplification of the theory underlying the data processing results in a systematic overestimation of the vessel caliber. An increase in the magnetic susceptibility of the contrast agent allows for quantitatively more accurate measurements. Quantitative VSI must include measurements of the regional diffusion coefficient and absolute determination of the regional cerebral blood volume. Magn Reson Med 53:553–563, 2005. © 2005 Wiley‐Liss, Inc.

[1]  M. Viergever,et al.  Measuring the arterial input function with gradient echo sequences , 2003, Magnetic resonance in medicine.

[2]  B. D. Ward,et al.  A Combined Gradient-Echo/Spin-Echo DSC Method: A Surrogate Marker for Brain Tumor Histologic Grade and Angiogenesis in Patients , 2003 .

[3]  V. Kiselev,et al.  Transverse NMR relaxation as a probe of mesoscopic structure. , 2002, Physical review letters.

[4]  Robert Turner,et al.  How Much Cortex Can a Vein Drain? Downstream Dilution of Activation-Related Cerebral Blood Oxygenation Changes , 2002, NeuroImage.

[5]  V. Kiselev.  On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI , 2001, Magnetic resonance in medicine.

[6]  M. Takahashi,et al.  Perfusion-sensitive MR imaging of gliomas: comparison between gradient-echo and spin-echo echo-planar imaging techniques. , 2001, AJNR. American journal of neuroradiology.

[7]  D. Yablonskiy,et al.  Water proton MR properties of human blood at 1.5 Tesla: Magnetic susceptibility, T1, T2, T  *2 , and non‐Lorentzian signal behavior , 2001, Magnetic resonance in medicine.

[8]  M. Décorps,et al.  Vessel size imaging , 2001, Magnetic resonance in medicine.

[9]  O Speck,et al.  Perfusion MRI of the human brain with dynamic susceptibility contrast: Gradient‐echo versus spin‐echo techniques , 2000, Journal of magnetic resonance imaging : JMRI.

[10]  R. Chandra,et al.  MR imaging of microvasculature , 2000, Magnetic resonance in medicine.

[11]  A P Pathak,et al.  Utility of simultaneously acquired gradient‐echo and spin‐echo cerebral blood volume and morphology maps in brain tumor patients , 2000, Magnetic resonance in medicine.

[12]  S. Posse,et al.  Analytical model of susceptibility‐induced MR signal dephasing: Effect of diffusion in a microvascular network , 1999, Magnetic resonance in medicine.

[13]  V. G. Kiselev,et al.  ANALYTICAL THEORY OF SUSCEPTIBILITY INDUCED NMR SIGNAL DEPHASING IN A CEREBROVASCULAR NETWORK , 1998 .

[14]  B R Rosen,et al.  NMR imaging of changes in vascular morphology due to tumor angiogenesis , 1998, Magnetic resonance in medicine.

[15]  K. Krabbe,et al.  MR diffusion imaging of human intracranial tumours , 1997, Neuroradiology.

[16]  David S. Martin,et al.  Diffusion and Perfusion Magnetic Resonance Imaging: Applications to Functional MRI , 1996 .

[17]  B R Rosen,et al.  Mr contrast due to intravascular magnetic susceptibility perturbations , 1995, Magnetic resonance in medicine.

[18]  M. Bahn,et al.  A Single‐Step Method for Estimation of Local Cerebral Blood Volume from Susceptibility Contrast MRI Images , 1995, Magnetic resonance in medicine.

[19]  E. Haacke,et al.  Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime , 1994, Magnetic resonance in medicine.

[20]  G. Radda,et al.  Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field. , 1982, Biochimica et biophysica acta.