» Articles » PMID: 16170445

Three-dimensional Texture Analysis of Cancellous Bone Cores Evaluated at Clinical CT Resolutions

Overview
Journal Osteoporos Int
Date 2005 Sep 20
PMID 16170445
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

The objective of this study was to determine if three-dimensional (3D) Haralick co-occurrence texture measures calculated from low-resolution CT images of trabecular bone correlate with 3D structural indices measured from high-resolution CT images. Thirty-three cubical regions of trabecular bone from human calcanei were analyzed using images obtained from a micro-computed tomography (micro-CT) scanner. 3D measures of bone architecture were calculated. The original images were then subsampled by factors of 5, 10, 15, and 20, and 3D texture features were calculated for each set of subsampled images. Linear regression models showed that co-occurrence texture features were significantly correlated with structural indices. Over 90% of the variation in three different structural indices was explained in two-variable regression models using texture features as predictors when the voxel side length was reduced by a factor of 10. Texture features calculated from clinical images may increase our ability to obtain trabecular bone architectural information when high-resolution images are unobtainable.

Citing Articles

Unveiling degenerative bone changes in the condyle: a texture analysis approach using cone-beam computed tomography.

Moraes M, Costa N, Silva G, Costa F, Raldi F, de Castro Lopes S Acta Cir Bras. 2025; 40():e401325.

PMID: 39813537 PMC: 11729191. DOI: 10.1590/acb401325.


Bone Mineral Density Prediction from CT Image: A Novel Approach using ANN.

Resmi S, Hashim V, Mohammed J, Dileep P Appl Bionics Biomech. 2023; 2023:1123953.

PMID: 37153753 PMC: 10162883. DOI: 10.1155/2023/1123953.


Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging.

Maciel J, de Araujo I, Trazzi L, de Azevedo-Marques P, Salmon C, de Paula F Clinics (Sao Paulo). 2020; 75:e1766.

PMID: 32876107 PMC: 7442400. DOI: 10.6061/clinics/2020/e1766.


Discrimination of Low-Energy Acetabular Fractures from Controls Using Computed Tomography-Based Bone Characteristics.

Gebre R, Hirvasniemi J, Lantto I, Saarakkala S, Leppilahti J, Jamsa T Ann Biomed Eng. 2020; 49(1):367-381.

PMID: 32648192 PMC: 7773622. DOI: 10.1007/s10439-020-02563-4.


Ex Vivo Evaluation of Hip Fracture Risk by Proximal Femur Geometry and Bone Mineral Density in Elderly Chinese Women.

Yang X, Sang H, Bai B, Ma X, Xu C, Lei W Med Sci Monit. 2018; 24:7438-7443.

PMID: 30334549 PMC: 6392087. DOI: 10.12659/MSM.910876.


References
1.
Bouxsein M, Courtney A, Hayes W . Ultrasound and densitometry of the calcaneus correlate with the failure loads of cadaveric femurs. Calcif Tissue Int. 1995; 56(2):99-103. DOI: 10.1007/BF00296338. View

2.
Kinney J, Ladd A . The relationship between three-dimensional connectivity and the elastic properties of trabecular bone. J Bone Miner Res. 1998; 13(5):839-45. DOI: 10.1359/jbmr.1998.13.5.839. View

3.
Link T, Majumdar S, Lin J, Augat P, Gould R, Newitt D . Assessment of trabecular structure using high resolution CT images and texture analysis. J Comput Assist Tomogr. 1998; 22(1):15-24. DOI: 10.1097/00004728-199801000-00003. View

4.
Dougherty G, Henebry G . Lacunarity analysis of spatial pattern in CT images of vertebral trabecular bone for assessing osteoporosis. Med Eng Phys. 2002; 24(2):129-38. DOI: 10.1016/s1350-4533(01)00106-0. View

5.
Grass M, Kohler T, Proksa R . 3D cone-beam CT reconstruction for circular trajectories. Phys Med Biol. 2000; 45(2):329-47. DOI: 10.1088/0031-9155/45/2/306. View