Fourier and wavelet analyses of dental radiographs detect trabecular changes in osteoporosis.

Abstract:

OBJECTIVES:Osteoporosis results in loss of bone mass and microarchitectural deterioration. Dental radiographs potentially offer a means of screening for osteoporosis as they are commonly made on adults. Spatial frequency analyses are well suited to detect subtle changes in image patterns. We hypothesize that individuals with osteoporosis exhibit an altered radiographic trabecular pattern that can be detected by spatial frequency and strut analysis. STUDY DESIGN:Maxillary and mandibular periapical radiographs of 26 women with osteoporosis and 23 controls were examined using one-dimensional discrete Fourier and wavelet analyses in both jaws to measure the spatial frequency distributions of trabecular structures. A strut analysis was also performed. RESULTS:Individuals with osteoporosis revealed an altered trabecular pattern compared to controls. Using Fourier and strut variables allows classification of subjects with 92% sensitivity, 96% specificity, and a 22% cross-validation error rate. Wavelet analysis was also useful but did not perform better than Fourier analysis for subject classification. CONCLUSIONS:Spatial frequency analysis of digitized dental radiographs, especially Fourier analysis, and strut analysis provide value for identifying individuals with osteoporosis.

journal_name

Bone

journal_title

Bone

authors

Faber TD,Yoon DC,Service SK,White SC

doi

10.1016/j.bone.2004.03.002

subject

Has Abstract

pub_date

2004-08-01 00:00:00

pages

403-11

issue

2

eissn

8756-3282

issn

1873-2763

pii

S8756328204001061

journal_volume

35

pub_type

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