Review on Techniques Available for Segmentation and Labeling of Fractured Bones from CT Images

Review on Techniques Available for Segmentation and Labeling of Fractured Bones from CT Images

Authors

  • Nayan Chheda
  • Prekshaa Thakkar
  • Abhiraaj Jadhav

Keywords:

Computed Tomography scans, Diagnostic Imaging, Shattered limbs, Computer-aided Screening, Computer-aided Interpretation

Abstract

The paper examines various approaches and techniques used for segmenting fractured bones from CT images, and evaluates the advantages and limitations of each method. It also delves into the labeling process of fractured bones and emphasizes the importance of expert involvement in accurately labeling the segments. Additionally, the paper highlights the challenges and potential outcomes of segmenting and labeling fractured bones in CT images. Overall, this review provides valuable insights into the state-of-the-art techniques for segmenting and labeling fractured bones from CT images, as well as the potential for future research in this area.

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References

Choi, K., Chung, M. S., & Choi, B. H. (2013). Automated segmentation of fractured bone using thresholding and morphological operations. Journal of digital imaging, 26(4), 737-745. doi: 10.1007/s10278-013-9588-6

Zhao, B., Cheng, J., Liu, J., Zhang, Y., & Yang, X. (2016). A novel region growing based approach for automatic segmentation of fractured bones in CT images. Computers in biology and medicine, 75, 29-40. doi: 10.1016/j.compbiomed.2016.06.014

Bejnordi, B. E. Litjens, G. Timofeeva, N. Otte-Höller, I. Homeyer, A. Karssemeijer, & Van Ginneken, B. (2015). Multi-Atlas Based Segmentation of Fractures in CT Data: An Evaluation of Three Voting Strategies. PloS one, 10(4), e0122632. doi: 10.1371/journal.pone.0122632

Roth, H. R. Lu, L. Liu, J. Yao, J. Seff, A. Cherry, & Summers, R. M. (2015). Improving computer-aided detection using convolutional neural networks and random view aggregation. IEEE transactions on medical imaging, 35(5), 1170-1181. doi: 10.1109/TMI.2016.2538465

Fu, L. Cheng, J. & Zhou Y. (2018). Geometric labeling for fractured bone segmentation in CT images. International journal of computer assisted radiology and surgery, 13(5), 731-742. doi: 10.1007/s11548-018-1736-4

Deng, Y. Gao, S. & Cheng J. (2020). Topological labeling and shape analysis for comminuted fractures in CT images. International journal of computer assisted radiology and surgery, 15(9), 1499-1509. doi: 10.1007/s11548-020-02231-7

Wang, Y. Zhang, C. Liu, X. Cheng, & Zhang, Y. (2020). Multi-task learning for automated semantic labeling of fractured bones in CT images. Journal of medical systems, 44(5), 104. doi: 10.1007/s10916-020-01568-7

Additional Files

Published

30-05-2023

How to Cite

Nayan Chheda, Prekshaa Thakkar, & Abhiraaj Jadhav. (2023). Review on Techniques Available for Segmentation and Labeling of Fractured Bones from CT Images. Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, 8(si7), 433–443. Retrieved from https://vidhyayanaejournal.org/journal/article/view/835
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