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Abstract #3235

Quantification using Textural Analysis on MR Bone Data

Victor Rakesh Lazar1, Gary P. Liney2, David J. Manton1, Peter Gibbs1, Celia Gregson3, Sue Steel4, Joern Rittweger5, Jonathan Tobias3, Lindsay W. Turnbull1

1Centre for Magnetic Resonance Investigations, University of Hull & HYMS, Hull, Humberside, United Kingdom; 2Radiation Physics, University of Hull, Hull, United Kingdom; 3Academic Rheumatology, University of Bristol, Bristol, United Kingdom; 4Centre for Metabolic Bone Disease, Hull Royal Infirmary, Hull, United Kingdom; 5Institute for Biomedical Research into Human Movement & Health, Manchester Metropolitan University, Manchester, United Kingdom

The aim of this study is to demonstrate the potential of textural analysis (TA) tool for possible quantification of MRI trabecular bone. Segmented trabecular MRI image from distal tibia and radius was processed from 52 volunteers with pQCT data using MATLAB to produce five basic textural parameters and bone volume fraction (BVF). Good correlation was observed between pQCT (BMD) and MRI (BVF) data. Mild to moderate correlation was observed in certain TA properties with relation to pQCT and MRI. TA shows good potential for bone quantification in MRI in addition to structure and composition.