Genetic Algorithm and Image Processing for Osteoporosis Diagnosis

Jennane R., Almhdie-Imjabber A., Hambli R., Ucan O. N., Benhamou C. L.

32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10), Buenos Aires, Argentina, 30 August - 04 September 2010, pp.5597-5600 identifier identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/iembs.2010.5626804
  • City: Buenos Aires
  • Country: Argentina
  • Page Numbers: pp.5597-5600
  • Istanbul University Affiliated: Yes

Abstract

Osteoporosis is considered as a major public health threat. It is characterized by a decrease in the density of bone, decreasing its strength and leading to an increased risk of fracture. In this work, the morphological, topological and mechanical characteristics of 2 populations of arthritic and osteoporotic trabecular bone samples are evaluated using artificial intelligence and recently developed skeletonization algorithms. Results show that genetic algorithms associated with image processing tools can precisely separate the 2 populations.