JOURNAL BROWSE
Search
Advanced SearchSearch Tips
An Implementation of Classification Method of Osteoporosis using CT images
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
An Implementation of Classification Method of Osteoporosis using CT images
Jung, Sung-Tae;
  PDF(new window)
 Abstract
In this paper, we propose a method of measuring bone mineral density in a peripheral-type clinical X-ray CT using a phantom, and we propose a method of classifying osteoporosis using bone mineral density and bone structure parameters together. It segments the trabecular bone region and cortical bone region for the six sections of the phantom and calculates the average HU value of the segmented regions. By using these values, it derives an expression converting HU value to bone mineral density. It segments trabecular bone of 1 cm region in the end part of distal radius and extracts the bone mineral density and structural parameters for the trabecular bone region. We extracted bone mineral density and structural parameters for the 18 subjects each of normal and osteoporotic group. We carried out classification experiments using three classification methods; SAD, SVM, ANN. The sensitivity, specificity, accuracy, positive predictive value, negative predictive value, likelihood ratio of the classification was improved in the order of ANN, SVM and SAD. Also, The sensitivity, specificity, accuracy, positive predictive value, negative predictive value, likelihood ratio of the classification was improved when we use the bone mineral density and structural parameters together.
 Keywords
Osteoporosis Classification;Bone Mineral Density;Structural Parameters;
 Language
Korean
 Cited by
1.
CT 영상에서 골다공증 판별 방법의 성능 향상,정성태;

한국멀티미디어학회논문지, 2016. vol.19. 8, pp.1248-1259 crossref(new window)
1.
A Performance Enhancement of Osteoporosis Classification in CT images, Journal of Korea Multimedia Society, 2016, 19, 8, 1248  crossref(new windwow)
 References
1.
R. Mazess, B. Collick, J. Trempe, H. Barden, and J. Hanson, “Performance Evaluation of a Dual-Energy X-ray Bone Densitometer,” Calcified Tissue International, Vol. 44, No. 3, pp. 228-232, 1989. crossref(new window)

2.
J.A. Kanis and C.C Gluer, “An Update on the Diagnosis and Assessment of Osteoporosis with Densitometry,” Osteoporosis International, Vol 11, No. 3, pp. 192-202, 2000. crossref(new window)

3.
H.K. Genant, C. Cooper, G. Poor, I. Reid, G. Ehrlich, J. Kanis, and et. al., ”Interim Report and Recommendations of the World Health Organization Task-Force for Osteoporosis,” Osteoporosis International, Vol. 10, No. 4, pp. 259-264, 1999. crossref(new window)

4.
C.F. Njeh, C.M. Boivin, and C.M. Langton, “The Role of Ultrasound in the Assessment of Osteoporosis: A Review,” Osteoporosis International, Vol. 7, No. 1, pp. 7-22, 1997. crossref(new window)

5.
M.A. Krieg, R. Barkmann, S. Gonnelli, A. Stewart, D.C. Bauer, L.D. Barguero, et. al., “Quantitative Ultrasound in the Management of Osteoporosis: The 2007 ISCD Official Positions,” Journal of Clinical Densitometry: Assessment of Skeletal Health, Vol. 11, No. 1, pp. 163-187, 2008. crossref(new window)

6.
K. Engelke, J.E. Adams, G. Armbrecht, P. Augat, C.E. Bogado, M.L. Bouxsein, et. al., “Clinical Use of Quantitative Computed Tomography and Peripheral Quantitative Computed Tomography in the Management of Osteoporosis in Adults: The 2007 ISCD Official Positions,” Journal of Clinical Densitometry: Assessment of Skeletal Health, Vol. 11, No. 1, pp. 123-162, 2008. crossref(new window)

7.
G. Guglielmi, P. Schneider, T.F. Lang, G.M. Giannatempo, M. Cammisa, and H.K. Genant, “Quantitative Computer Tomography at the Axial and Peropheral Skeleton,” European Radiology, Vol. 7, Suppl. 2, pp. S32-S42, 1997. crossref(new window)

8.
N. Li, X.M. Li, L. Xu, W.J. Sun, X.G. Cheng, and W. Tian, “Comparison of QCT and DXA: Osteoporosis Detection Rates in Postmenopausal Women,” International Journal of Endocrinology, Vol. 2013, Article ID 895474, pp. 1-5, 2013.

9.
S.K. Kang and S.T. Jung, “Structural Analysis of Trabecular Bone using Automatic Segmentation in micro-CT images,” Journal of Korea Multimedia Society, Vol. 17, No. 3, pp. 342-352, 2014. crossref(new window)

10.
P. Rüegsegger and W.A Kalender “A Phantom for Standardization and Quality Control in Peripheral Bone Measurements by PQCT and DXA,” Physics in Medicine and Biology, Vol. 38, No. 12, pp. 1963-1970, 1993. crossref(new window)

11.
Kitware Inc., VTK User's Guide, Kitware Inc., 2010.

12.
T. Hildebrand and P. Rüegsegger, "A New Method for the Model-independent Assessment of Thickness in Three-dimensional Images,” Journal of Microscopy, Vol. 185, Pt. 1, pp. 67-75, 1997. crossref(new window)

13.
C.C. Chang and C.J. Lin. “LIBSVM : A Library for Support Vector Machines,” ACM Transactions on Intelligent Systems and Technology, Vol. 2, No. 3, pp. 1-27, 2011. crossref(new window)

14.
S. Nissen, “Neural Network Made Simple,” Software 2.0, pp. 14-19, 2005.