Dynamic Contrast-Enhanced MRI and Fractal Characteristics of Percolation Clusters in Two-Dimensional Tumor Blood Perfusion
Author:
Affiliation:
1. Department of Radiation Oncology, Duke University Medical Center, Box 3455, Durham, NC, 27710
2. Cerprobe Corporation, Gilbert, AZ 85233
Abstract
Publisher
ASME International
Subject
Physiology (medical),Biomedical Engineering
Link
http://asmedigitalcollection.asme.org/biomechanical/article-pdf/121/5/480/5680406/480_1.pdf
Reference40 articles.
1. Baish J. W. , GazitY., BerkD. A., NozueM., BaxterL. T., and JainR. K., 1996, “Role of Tumor Vasculature Architecture in Nutrient and Drug Delivery: An Invasion Percolation-Based Network Model,” Microvascular Research, Vol. 51, pp. 327–346.
2. Belfi C. A. , TingL. L., HassenbuschS. J., TefftM., and NgoF. Q., 1992, “Determination of Changes in Tumor Blood Perfusion After Hydralazine Treatment by Dynamic Paramagnetic-Enhanced Magnetic Resonance Imaging,” Int. J. Rad. Onc., Biol. Phys., Vol. 22, No. 3, pp. 477–482.
3. Belfi C. A. , PaulC. R., ShanS., and NgoF. Q., 1994, “Comparison of the Effects of Hydralazine on Tumor and Normal Tissue Blood Perfusion by MRI,” Int. J. Rad. Onc., Biol., Phys., Vol. 29, No. 3, pp. 473–479.
4. Binder, K., and Heerman, D. W., 1992, Monte Carlo Simulations in Statistical Physics, Springer-Verlag.
5. Bunde, A., and Havlin, S., 1991, “Percolation I and II,” in: Fractals and Disordered Systems, Bunde and Havlin, eds., Springer-Verlag, pp. 51–150.
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