A Stewart

Alison Stewart

AM Buck

AP Pentland

B Cortet

BD Snyder

C Chatfield

CA Wigderowitz

CE Metz

CL Benhamou

David M Reid

DDH Boothe

G Dougherty

H Chung

H Défossez

IH Parkinson

JA Lynch

JA Walker

JC Lin

Jennifer S Gregory

JF Veenland

JS Gregory

KY Yeung

M Singh

M Sonka

MA Haidekker

N Crabtree

P Caligiuri

Peter E Undrill

PP Smyth

R Heaney

RB Cattell

Richard M Aspden

RL Lee

S Majumdar

S Pornprasertsuk

TE Southard

TM Link

WGM Geraets

WHO Study Group

BMC Medical Imaging

English

PubMed

Gregory, Jennifer Susan

Stewart, Alison

Undrill, Peter Edward

Reid, David M

Aspden, Richard Malcolm

Aberdeen University Research

Identification of hip fracture patients from radiographs using Fourier analysis of the trabecular structure: a cross-sectional study

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Abstract Background This study presents an analysis of trabecular bone structure in standard radiographs using Fourier transforms and principal components analysis (PCA) to identify contributions to hip fracture risk. Methods Radiographs were obtained from 26 hip fracture patients and 24 controls. They were digitised and five regions of interest (ROI) were identified from the femoral head and neck for analysis. The power spectrum was obtained from the Fourier transform of each region and three profiles were produced; a circular profile and profiles parallel and perpendicular to the preferred orientation of the trabeculae. PCA was used to generate a score from each profile, which we hypothesised could be used to discriminate between the fracture and control groups. The fractal dimension was also calculated for comparison. The area under the receiver operating characteristic curve (Az) discriminating the hip fracture cases from controls was calculated for each analysis. Results Texture analysis of standard radiographs using the fast Fourier transform yielded variables that were significantly associated with fracture and not significantly correlated with age, body mass index or femoral neck bone mineral density. The anisotropy of the trabecular structure was important; both the perpendicular and circular profiles were significantly better than the parallel-profile (P Az = 0.84 – 0.93), there were no significant correlations with femoral neck bone mineral density, age, or body mass index. PCA analysis was found to perform better than fractal analysis (P = 0.019). Conclusions Both PCA and fractal analysis of the FFT data could discriminate successfully between the fracture and control groups, although PCA was significantly stronger than fractal dimension. This method appears to provide a powerful tool for the assessment of bone structure in vivo with advantages over standard fractal methods.</p

Reid David M

Undrill Peter E

Stewart Alison

Gregory Jennifer S

Aspden Richard M

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Identification of hip fracture patients from radiographs using Fourier analysis of the trabecular structure: a cross-sectional study

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Aberdeen University Research

Springer - Publisher Connector

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