Susceptibility tensor imaging and tractography of collagen fibrils in the articular cartilage

Magn Reson Med. 2017 Nov;78(5):1683-1690. doi: 10.1002/mrm.26882. Epub 2017 Aug 30.

Abstract

Purpose: To investigate the B0 orientation-dependent magnetic susceptibility of collagen fibrils within the articular cartilage and to determine whether susceptibility tensor imaging (STI) can detect the 3D collagen network within cartilage.

Methods: Multiecho gradient echo datasets (100-μm isotropic resolution) were acquired from fixed porcine articular cartilage specimens at 9.4 T. The susceptibility tensor was calculated using phase images acquired at 12 or 15 different orientations relative to B0 . The susceptibility anisotropy of the collagen fibril was quantified and diffusion tensor imaging (DTI) was compared against STI. 3D tractography was performed to visualize and track the collagen fibrils with DTI and STI.

Results: STI experiments showed the distinct and significant anisotropic magnetic susceptibility of collagen fibrils within the articular cartilage. STI can be used to measure and quantify susceptibility anisotropy maps. Furthermore, STI provides orientation information of the underlying collagen network via 3D tractography.

Conclusion: The findings of this study demonstrate that STI can characterize the orientation variation of collagen fibrils where diffusion anisotropy fails. We believe that STI could serve as a sensitive and noninvasive marker to study the collagen fibrils microstructure. Magn Reson Med 78:1683-1690, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

Keywords: articular cartilage; collagen fibril; diffusion tensor imaging (DTI); knee; magnetic susceptibility; magnetic susceptibility anisotropy; susceptibility tensor imaging (STI).

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Cartilage, Articular / diagnostic imaging*
  • Collagen / chemistry*
  • Diffusion Tensor Imaging / methods*
  • Image Processing, Computer-Assisted / methods*
  • Swine

Substances

  • Collagen