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

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
CountryUnited States
CityBaltimore, MD
Period5/5/145/7/14

Fingerprint

Computed Tomography
muscles
Bone
Muscle
Material Properties
Structural Properties
Quantification
Software System
bones
Tomography
Structural properties
Materials properties
tomography
computer programs
Computing
Imaging
Tissue
Imaging techniques
Soft Tissue
fats

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

Cite this

Makrogiannis, S., & Ferrucci, L. (2014). Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9112). [911216] SPIE. https://doi.org/10.1117/12.2050790

Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT. / Makrogiannis, Sokratis; Ferrucci, Luigi.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9112 SPIE, 2014. 911216.

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

Makrogiannis, S & Ferrucci, L 2014, Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9112, 911216, SPIE, Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring IV, Baltimore, MD, United States, 5/5/14. https://doi.org/10.1117/12.2050790
Makrogiannis S, Ferrucci L. Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9112. SPIE. 2014. 911216 https://doi.org/10.1117/12.2050790
Makrogiannis, Sokratis ; Ferrucci, Luigi. / Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9112 SPIE, 2014.
@inproceedings{f2cb23c2f8114308a7b3fe6fa07b8570,
title = "Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT",
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.",
keywords = "image segmentation, pQCT, tissue quantification",
author = "Sokratis Makrogiannis and Luigi Ferrucci",
year = "2014",
doi = "10.1117/12.2050790",
language = "English (US)",
isbn = "9781628410495",
volume = "9112",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",

}

TY - GEN

T1 - Software system for computing material and structural properties of bone and muscle in the lower extremity from pQCT

AU - Makrogiannis, Sokratis

AU - Ferrucci, Luigi

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - image segmentation

KW - pQCT

KW - tissue quantification

UR - http://www.scopus.com/inward/record.url?scp=84907042843&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907042843&partnerID=8YFLogxK

U2 - 10.1117/12.2050790

DO - 10.1117/12.2050790

M3 - Conference contribution

AN - SCOPUS:84907042843

SN - 9781628410495

VL - 9112

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE

ER -