Comparison of radiographic texture analysis from computed radiography and bone densitometry systems
Osteoporosis is a disease that results in an increased risk of bone fracture due to a loss of bone mass and deterioration of bone structure. Bone mineral density (BMD) provides a measure of bone mass and is frequently measured by bone densitometry systems to diagnose osteoporosis. In addition, compu...
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Published in: | Medical physics (Lancaster) Vol. 31; no. 4; pp. 882 - 891 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
American Association of Physicists in Medicine
01-04-2004
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Subjects: | |
Online Access: | Get full text |
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Summary: | Osteoporosis is a disease that results in an increased risk of bone fracture due to a loss of bone mass and deterioration of bone structure. Bone mineral density (BMD) provides a measure of bone mass and is frequently measured by bone densitometry systems to diagnose osteoporosis. In addition, computerized radiographic texture analysis (RTA) is currently being investigated as a measure of bone structure and as an additional diagnostic predictor of osteoporosis. In this study, we assessed the ability of a peripheral bone densitometry (PD) system to yield images useful for RTA. The benefit of such a system is that it measures BMD by dual-energy x-ray absorptiometry and therefore provides high- and low-energy digital radiographic images. The bone densitometry system investigated was the GE/Lunar PIXI, which provides
512×512
digital images of the heel or forearm (0.2 mm pixels). We compared texture features of heel images obtained with this PD system to those obtained on a Fuji computed radiography (CR) system (0.1 mm pixels). Fourier and fractal-based texture features of images from 24 subjects who had both CR and BMD exams were calculated, and correlation between the two systems was analyzed. Fourier-based texture features characterize the magnitude, frequency content, and orientation of the trabecular bone pattern. Good correlation was found between the two modalities for the first moment (FMP) with
r=0.71
(p
value
<0.0001)
and for minimum FMP with
r=0.52
(p
value
=0.008).
Root-mean-square (RMS) did not correlate with
r=0.31
(p
value
>0.05),
while the standard deviation of the RMS did correlate with
r=0.79
(p
value
<0.0001).
Good correlation was also found between the two modalities for the fractal-based texture features with
r=0.79
(p
value
<0.0001)
for the global Minkowski dimension and
r=0.63
(p
value
=0.0007)
for the fractal dimension from a box counting method. The PD system therefore may have the potential for yielding heel images suitable for RTA. |
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Bibliography: | 0094‐2405, Medical Physics, 31, 873 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0094-2405 2473-4209 |
DOI: | 10.1118/1.1650529 |