Automated image analysis method for quantifying damage accumulation in tendon

Jedd B. Sereysky, Nelly Andarawis-Puri, Stephen J. Ros, Karl J. Jepsen, Evan L. Flatow

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Tendon pathology is frequently sub-clinical prior to frank rupture, denoting the need for non-destructive methods of assessing disease presence and progression. Despite the lack of clinical presentation, previous studies have observed that distinct changes to the tendon microstructure are present, and that such qualitative changes have a dose-response relationship with the level of damage accumulated. These initial findings suggest that there is value in investigating the physical nature of damage within tendon, not only to better understand the pathological process, but also to gain insight into reparative processes and develop treatments. However, a necessary first step towards carrying out these avenues of research is to develop diagnostic tools for quantitatively assessing the level of damage present.In this study, we established a dose-response relationship between a quantitative measure of structural damage and the level of global damage induced. Furthermore, we developed and validated an automated technique for quantifying matrix disorganization (damage), which correlates and co-localizes strongly with manual quantification. In combination, these findings allow us to measure the amount of damage accumulation of a region of tendon on a clinical scale, rapidly and accurately.

Original languageEnglish
Pages (from-to)2641-2644
Number of pages4
JournalJournal of Biomechanics
Volume43
Issue number13
DOIs
StatePublished - Sep 2010

Keywords

  • Collagen
  • Damage
  • Fourier transform
  • Microstructure
  • Second harmonic generation
  • Tendon

Fingerprint

Dive into the research topics of 'Automated image analysis method for quantifying damage accumulation in tendon'. Together they form a unique fingerprint.

Cite this