CFP last date
20 May 2024
Reseach Article

Contour Extraction of Femur and Tibia Condyles on Plain Anteroposterior (AP) Radiograph

by Humera Tariq, S. M. Aqil Burney
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 15
Year of Publication: 2012
Authors: Humera Tariq, S. M. Aqil Burney
10.5120/8278-1893

Humera Tariq, S. M. Aqil Burney . Contour Extraction of Femur and Tibia Condyles on Plain Anteroposterior (AP) Radiograph. International Journal of Computer Applications. 52, 15 ( August 2012), 26-30. DOI=10.5120/8278-1893

@article{ 10.5120/8278-1893,
author = { Humera Tariq, S. M. Aqil Burney },
title = { Contour Extraction of Femur and Tibia Condyles on Plain Anteroposterior (AP) Radiograph },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 15 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number15/8278-1893/ },
doi = { 10.5120/8278-1893 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:19.117468+05:30
%A Humera Tariq
%A S. M. Aqil Burney
%T Contour Extraction of Femur and Tibia Condyles on Plain Anteroposterior (AP) Radiograph
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 15
%P 26-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Condyle of femur (F) and tibia (T) are key bony landmarks around the knee joint. The condyles contour extraction is the first key step towards: quantification of femorotibial (FT) joint space width (JSW), to assess FT joint space narrowing (JSN), to determine knee joint alignment angles and in defining the lateral and medial condyle radii. This paper aims to contour extraction of femur and tibia condyles on plain anteroposterior (AP) knee radiograph. A number of standard OA and non-OA AP radiographs in DICOM format are acquired. The images are resized and filtered to detect femoral and tibia condyles edge pixels respectively. Thresholding is then applied which introduce outliers. After removing outliers spline interpolation and smoothing is applied to trace and extract the femur and tibia contours. The results demonstrates promising extracted contours on non-OA and moderate OA radiographs but needs improvementin radiographs showing severe OA. The femur and tibia contours obtained are well localized, smooth and have no broken lines.

References
  1. Mengko TL, Wachjudi RG, Suksmono AB, Danudirdjo D. Automated detection of unimpaired joint space for knee osteoarthritis assessment. Proc 7th Intl Workshop on Enterprise Networking and Computing in Healthcare Industry. 2005:400–403.
  2. Schmidt JE, Amrami KK, Manduca A, Kaufman KR. Semi-automated digital image analysis of joint space width in knee radiographs. Skeletal Radiol 2005;639–643.
  3. H. Oka, S. Muraki, T. Akune, A. Mabuchi, T. Suzuki, H. Yoshida,S. Yamamoto, K. Nakamura, N. Yoshimura and H. Kawaguchi. Fully automatic quantification of knee osteoarthritis severity on plain radiographs. Osteoarthr. Cartil. , vol. 16, pp. 1300–1306, Nov. 2008.
  4. Shamir, L. , Ling, S. M. , Scott, W. , Boss, A. , Orlov, N. , Macura, T. , Eckley, D. M, Ferrucci, L. , Goldberg, I. G. ; Knee X-ray image analysis method for automated detection of Osteoarthritis, IEEE Transactions on Biomedical Engineering, vol. 56, no. 2, pp. 407-415, 2009.
  5. Matthias Seise, Stephen J. McKenna, Ian W. Ricketts and Carlos A. Wigderowitz. Segmenting Tibia and Femur from Knee X-ray Images. Med. Image Underst. Anal. , pp. 103–106, 2005
  6. Syed Zahurul, Syed Zahidul and Razali Jidin. An Adapt Edge Detection Algorithm for Human Knee osteoarthritis Images. 2010 International Conference on Signal Acquisition and Processing, 2010.
  7. Sobel, Camera Models and Machine Perception Stanford Al?1970?Memo 121.
  8. J. M. S. Prewitt. Object Enhancement and Extraction in B. S. Lipkin and A Rosenfeld eds. Picture Processing and Psychohistories, 1970.
  9. Canny J. A Computation Approach to Edge Detection [J]. IEEE-PAML?1986, 8: 679-698.
  10. L. G. Roberts. "Machine perception of 3-D solids" ser. Optical and Electro-Optical Information Processing, MIT Press, 1965.
  11. Rafael C. Gonzales, Richard E. Woods, Digital Image Processing, second edition,Prentice Hall, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

DICOM Knee Joint Osteoarthritis Femur Tibia Contour AP radiograph Joint Space Width