title: A comparison of the texture of computed tomography and projection radiography images of vertebral trabecular bone using fractal signature and lacunarity.
abstract: The structural integrity of trabecular bone is an important factor characterizing the biomechanical strength of the vertebra, and is determined by the connectivity of the bone network and the trabeculation pattern. These can be assessed using texture measures such as the fractal signature and lacunarity from a high resolution projection radiograph. Using central sections of lumbar vertebrae we compared the results obtained from high-resolution transverse projection images with those obtained from spatially registered low-resolution images from a conventional clinical CT scanner to determine whether clinical CT data can provide useful structural information. Provided the power spectra of the CT images are corrected for image system blurring, the resulting fractal signature is similar for both modalities. Although the CT images are blurred relative to the projection images, with a consequent reduction in lacunarity, the estimated trabecular separation obtained from the lacunarity plots is similar for both modalities. This suggests that these texture measures contain essential information on trabecular microarchitecture, which is present even in low resolution CT images. Such quantitative texture measurements from CT or MRI images are potentially useful in monitoring bone strength and predicting future fracture risk.
authors: Faculty of Allied Health Sciences, P.O. Box 31470, Kuwait University, Sulaibikhat 90805, Kuwait. geoff@hsc.kuniv.edu.kw
authors: G
authors: G
authors: Dougherty
mesh_terms: D001696:Biomechanical Phenomena; D055592:Biophysical Phenomena; D001703:Biophysics; D015519:Bone Density; D017709:Fractals; D050723:Fractures, Bone / Q000209:etiology; D006801:Humans; D008159:Lumbar Vertebrae / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D011856:Radiographic Image Enhancement; D012307:Risk Factors; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data