Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT

Sokratis Makrogiannis, Luigi Ferrucci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Peripheral Quantitative Computed Tomography (pQCT) is a non-invasive imaging technology that is well-suited for quantification of bone structural and material properties. Because of its increasing use and applicability, the development of automated quantification methods for pQCT images is an appealing field of research. In this paper we introduce a software system for hard and soft tissue quantification in the lower leg using pQCT imaging data. The main stages of our approach are the segmentation and identification of bone, muscle and fat, and the computation of densitometric and geometric variables of each regional tissue type. Our system was validated against reference area and densitometric measurements over a set of test images and produced encouraging results.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume9112
ISBN (Print)9781628410495
DOIs
StatePublished - 2014
Externally publishedYes
EventSensing Technologies for Global Health, Military Medicine, and Environmental Monitoring IV - Baltimore, MD, United States
Duration: May 5 2014May 7 2014

Other

OtherSensing Technologies for Global Health, Military Medicine, and Environmental Monitoring IV
Country/TerritoryUnited States
CityBaltimore, MD
Period5/5/145/7/14

Keywords

  • image segmentation
  • pQCT
  • tissue quantification

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT'. Together they form a unique fingerprint.

Cite this