Lukas Reinhold Buschle1,2, Christian H Ziener1,2, Ke Zhang1, Volker J F Sturm1,2, Thomas Kampf3,4, Artur Hahn2, Gergely Solecki5, Frank Winkler5, Martin Bendszus2, Sabine Heiland2, Heinz-Peter Schlemmer1, Felix T Kurz6,7. 1. German Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany. 2. Department of Neuroradiology, University Hospital Heidelberg, INF 400, 69120, Heidelberg, Germany. 3. Department of Experimental Physics 5, University of Würzburg, Am Hubland, 97074, Würzburg, Germany. 4. Department of Neuroradiology, University Hospital Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany. 5. German Cancer Research Center, Neurooncology, INF 280, 69120, Heidelberg, Germany. 6. German Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany. felix.kurz@med.uni-heidelberg.de. 7. Department of Neuroradiology, University Hospital Heidelberg, INF 400, 69120, Heidelberg, Germany. felix.kurz@med.uni-heidelberg.de.
Abstract
OBJECTIVES: Spin dephasing of the local magnetization in blood vessel networks can be described in the static dephasing regime (where diffusion effects may be ignored) by the established model of Yablonskiy and Haacke. However, for small capillary radii, diffusion phenomena for spin-bearing particles are not negligible. MATERIAL AND METHODS: In this work, we include diffusion effects for a set of randomly distributed capillaries and provide analytical expressions for the transverse relaxation times T2* and T2 in the strong collision approximation and the Gaussian approximation that relate MR signal properties with microstructural parameters such as the mean local capillary radius. RESULTS: Theoretical results are numerically validated with random walk simulations and are used to calculate capillary radius distribution maps for glioblastoma mouse brains at 9.4 T. For representative tumor regions, the capillary maps reveal a relative increase of mean radius for tumor tissue towards healthy brain tissue of [Formula: see text] (p < 0.001). CONCLUSION: The presented method may be used to quantify angiogenesis or the effects of antiangiogenic therapy in tumors whose growth is associated with significant microvascular changes.
OBJECTIVES: Spin dephasing of the local magnetization in blood vessel networks can be described in the static dephasing regime (where diffusion effects may be ignored) by the established model of Yablonskiy and Haacke. However, for small capillary radii, diffusion phenomena for spin-bearing particles are not negligible. MATERIAL AND METHODS: In this work, we include diffusion effects for a set of randomly distributed capillaries and provide analytical expressions for the transverse relaxation times T2* and T2 in the strong collision approximation and the Gaussian approximation that relate MR signal properties with microstructural parameters such as the mean local capillary radius. RESULTS: Theoretical results are numerically validated with random walk simulations and are used to calculate capillary radius distribution maps for glioblastomamouse brains at 9.4 T. For representative tumor regions, the capillary maps reveal a relative increase of mean radius for tumor tissue towards healthy brain tissue of [Formula: see text] (p < 0.001). CONCLUSION: The presented method may be used to quantify angiogenesis or the effects of antiangiogenic therapy in tumors whose growth is associated with significant microvascular changes.
Authors: David Bonekamp; Kim Mouridsen; Alexander Radbruch; Felix T Kurz; Oliver Eidel; Antje Wick; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Leif Østergaard; Philipp Kickingereder Journal: J Cereb Blood Flow Metab Date: 2016-07-21 Impact factor: 6.200
Authors: Felix T Kurz; Thomas Kampf; Lukas R Buschle; Heinz-Peter Schlemmer; Sabine Heiland; Martin Bendszus; Christian H Ziener Journal: PLoS One Date: 2015-11-06 Impact factor: 3.240
Authors: Johann M E Jende; Christoph Mooshage; Zoltan Kender; Lukas Schimpfle; Alexander Juerchott; Peter Nawroth; Sabine Heiland; Martin Bendszus; Stefan Kopf; Felix T Kurz Journal: Front Endocrinol (Lausanne) Date: 2022-05-10 Impact factor: 6.055
Authors: Ke Zhang; Seong Dae Yun; Simon M F Triphan; Volker J Sturm; Lukas R Buschle; Artur Hahn; Sabine Heiland; Martin Bendszus; Heinz-Peter Schlemmer; N Jon Shah; Christian H Ziener; Felix T Kurz Journal: PLoS One Date: 2019-08-09 Impact factor: 3.240