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Segmentation of Bone Tissue from CT Images

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Computer Vision and Machine Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 586))

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Abstract

Segmentation of the bone structures in computed tomography (CT) is crucial for research as it plays a substantial role in surgical planning, disease diagnosis, identification of organs and tissues, and analysis of fractures and bone densities. Manual segmentation of bones could be tedious and not suggested as there could be human bias present. In this paper, we evaluate some existing approaches for bone segmentation and present a method for segmenting bone tissues from CT images. In this approach, the CT image is first enhanced to remove the artifacts surrounding the bone. Subsequently, the image is binarized and outliers are removed to get the bone regions. The proposed method has a Dice index of 0.9321, Jaccard index (IoU) of 0.8729, a precision of 0.9004, and a recall of 0.9662.

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Acknowledgements

This research is supported by JSPS Grant-in-Aid for Scientific Research (C) (20K11873) and Chubu University Grant.

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Authors and Affiliations

  1. Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781039, India

    Shrish Kumar Singhal, Bibek Goswami, Yuji Iwahori & M. K. Bhuyan

  2. Department of Computer Science, Chubu University, Kasugai, 487-8501, Japan

    Yuji Iwahori & M. K. Bhuyan

  3. Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Nagoya, 464-8681, Japan

    Akira Ouchi & Yasuhiro Shimizu

Authors
  1. Shrish Kumar Singhal
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  2. Bibek Goswami
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  3. Yuji Iwahori
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  4. M. K. Bhuyan
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  5. Akira Ouchi
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  6. Yasuhiro Shimizu
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Corresponding author

Correspondence to Shrish Kumar Singhal .

Editor information

Editors and Affiliations

  1. Computer Vision Laboratory, University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

  2. Computer Vision and Biometrics Lab, Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India

    Shiv Ram Dubey

  3. Computer Vision and Biometrics Lab, Department of Information Technology, Indian Institute of Information Technology, Allahabad, India

    Satish Kumar Singh

  4. University of Münster, Münster, Germany

    Xiaoyi Jiang

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Singhal, S.K., Goswami, B., Iwahori, Y., Bhuyan, M.K., Ouchi, A., Shimizu, Y. (2023). Segmentation of Bone Tissue from CT Images. In: Tistarelli, M., Dubey, S.R., Singh, S.K., Jiang, X. (eds) Computer Vision and Machine Intelligence. Lecture Notes in Networks and Systems, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-19-7867-8_19

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