In vivo magnetic resonance imaging techniques for structural and functional characterization of murine model kidneys

Methods Cell Biol. 2019:154:145-161. doi: 10.1016/bs.mcb.2019.05.007. Epub 2019 Jun 25.

Abstract

Murine models are used in a wide range of renal studies, from those assessing the role of molecular and genetic factors in mammalian development and congenital diseases, to developing and screening new therapeutics. In studies of these models, magnetic resonance imaging (MRI) techniques are playing an ever increasing role in characterizing both structural and functional changes of the kidneys. This chapter details the use of MRI for this purpose-from acquisition to image analysis. An overview of the wide range of characterization that can be performed by this technology is first given. Next, basic image analysis and more advanced image processing techniques are detailed. The utility of MR for characterizing anatomical and physiological properties of murine models of disease is supplemented with data from our work studying polycystic kidney disease.

Keywords: Imaging biomarkers; Multiparametric MR; Murine model systems; Polycystic kidney disease; Quantitative MR; Renal imaging; Texture analysis; Total kidney volume.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Animals
  • Diffusion Magnetic Resonance Imaging / methods*
  • Diffusion Magnetic Resonance Imaging / statistics & numerical data
  • Glomerular Filtration Rate / physiology
  • Humans
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / statistics & numerical data*
  • Kidney / anatomy & histology
  • Kidney / blood supply
  • Kidney / diagnostic imaging*
  • Kidney / pathology
  • Magnetic Resonance Angiography / methods*
  • Magnetic Resonance Angiography / statistics & numerical data
  • Mice
  • Models, Biological
  • Multiparametric Magnetic Resonance Imaging / methods*
  • Multiparametric Magnetic Resonance Imaging / statistics & numerical data
  • Organ Size / physiology