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Automated segmentation of the injured kidney due to abdominal trauma

  • Gokalp TulumEmail author
  • Uygar Teomete
  • Ferhat Cuce
  • Tuncer Ergin
  • Murathan Koksal
  • Ozgur Dandin
  • Onur Osman
Image & Signal Processing
Part of the following topical collections:
  1. Image & Signal Processing

Abstract

The objective of this study is to propose and validate a computer-aided segmentation system which performs the automated segmentation of injured kidney in the presence of contusion, peri-, intra-, sub-capsular hematoma, laceration, active extravasation and urine leak due to abdominal trauma. In the present study, total multi-phase CT scans of thirty-seven cases were used; seventeen of them for the development of the method and twenty of them for the validation of the method. The proposed algorithm contains three steps: determination of the kidney mask using Circular Hough Transform, segmentation of the renal parenchyma of the kidney applying the symmetry property to the histogram, and estimation of the kidney volume. The results of the proposed method were compared using various metrics. The kidney quantification led to 92.3 ± 4.2% Dice coefficient, 92.8 ± 7.4%/92.3 ± 5.1% precision/sensitivity, 1.4 ± 0.6 mm/2.0 ± 1.0 mm average surface distance/root-mean-squared error for intact and 87.3 ± 8.4% Dice coefficient, 84.3 ± 13.8%/92.2 ± 3.8% precision/sensitivity and 2.4 ± 2.2 mm/4.0 ± 4.2 mm average surface distance/root-mean-squared error for injured kidneys. The segmentation of the injured kidney was satisfactorily performed in all cases. This method may lead to the automated detection of renal lesions due to abdominal trauma and estimate the intraperitoneal blood amount, which is vital for trauma patients.

Keywords

Abdominal trauma Solid organ injuries Injured kidney Automated segmentation 

Notes

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflicts of interest. No funding was received for this study.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Gokalp Tulum
    • 1
    Email author
  • Uygar Teomete
    • 2
  • Ferhat Cuce
    • 3
  • Tuncer Ergin
    • 3
  • Murathan Koksal
    • 4
  • Ozgur Dandin
    • 5
  • Onur Osman
    • 1
  1. 1.Department of Electrical and Electronics EngineeringIstanbul Arel UniversityIstanbulTurkey
  2. 2.Department of RadiologySparrow Health SystemLansingUSA
  3. 3.Department of RadiologyGulhane Research and Training HospitalAnkaraTurkey
  4. 4.Department of RadiologyAnkara Numune Training and Research HospitalAnkaraTurkey
  5. 5.Department of General SurgeryAkdeniz UniversityAntalyaTurkey

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