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Journal of Digital Imaging

, Volume 32, Issue 2, pp 300–313 | Cite as

Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image

  • Oishila BandyopadhyayEmail author
  • Arindam Biswas
  • Bhargab B. Bhattacharya
Article

Abstract

Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer begins with the analysis of bone X-ray or MRI image. Compared to MRI, an X-ray image provides a low-cost diagnostic tool for diagnosis and visualization of bone cancer. In this paper, a novel technique for the assessment of cancer stage and grade in long bones based on X-ray image analysis has been proposed. Cancer-affected bone images usually appear with a variation in bone texture in the affected region. A fusion of different methodologies is used for the purpose of our analysis. In the proposed approach, we extract certain features from bone X-ray images and use support vector machine (SVM) to discriminate healthy and cancerous bones. A technique based on digital geometry is deployed for localizing cancer-affected regions. Characterization of the present stage and grade of the disease and identification of the underlying bone-destruction pattern are performed using a decision tree classifier. Furthermore, the method leads to the development of a computer-aided diagnostic tool that can readily be used by paramedics and doctors. Experimental results on a number of test cases reveal satisfactory diagnostic inferences when compared with ground truth known from clinical findings.

Keywords

Bone cancer Bone X-ray Connected component Decision tree Ortho-convex cover Runs-test Support vector machine 

Notes

Acknowledgements

The first author would like to acknowledge the Department of Science & Technology, Government of India, for providing financial support to her vide grant no. SR/WOS-A/ET-1022/2014. Some X-ray test images used in this work are taken from the website of TCIA (https://wiki.cancerimagingarchive.net/display/Public/Wiki); Radiology Assistant (www.radiologyassistant.nl); Radiopedia (http://radiopaedia.org); Bone and Spine (http://boneandspine.com/bone-tumors-images-and-xrays/); etc. We acknowledge all of them with thanks.

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Copyright information

© Society for Imaging Informatics in Medicine 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringIndian Institute of Information Technology KalyaniKalyaniIndia
  2. 2.Department of Information TechnologyIndian Institute of Engineering Science and TechnologyShibpurIndia
  3. 3.Advanced Computing and Microelectronics UnitIndian Statistical InstituteKolkataIndia

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