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Segmentation of Musculoskeletal Tissues with Minimal Human Intervention

  • Sourav Mishra
  • Ravitej Singh Rekhi
  • Anustha
  • Garima Vyas
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 9)

Abstract

Noninvasive methods of detection of diseases are very important in the medical domain. Imaging modalities such as MRI are usually employed and present the state of the art. As of now, it is very widely used in the prognosis of heart diseases where tissue distribution is taken into account. This work exhibits multi-modal MRI to enable segmenting tissues in limb, which happens to be a crucial first step in analysis.

Keywords

Musculoskeletal MRI Segmentation Region growing Tissue classification 

Notes

Acknowledgements

The authors thank Dr. RA Kraft, Dr. CA Hamilton of Virginia Tech and Dr. Kitzman, MD of Wake Forest University School of Medicine, for providing insights and feedback into this solution. The authors also express gratitude to Wake Forest University School of Medicine for kindly allowing to use the MRI datasets.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sourav Mishra
    • 1
  • Ravitej Singh Rekhi
    • 1
  • Anustha
    • 1
  • Garima Vyas
    • 1
  1. 1.Electronics and Communication EngineeringAmity UniversityNoidaIndia

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