Texture Feature Differences between Fresh and Frozen-Thawed Ex-Vivo Porcine Liver Tissue in B-mode Ultrasonic Imaging

Gubing Wang, Jing Liu, Jianwen Luo, Lei Sheng

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

BACKGROUND: Ultrasound guidance of cryotherapy could be improved if changes of tissue characterization parameters during freezing could be used to monitor freezing profiles and estimate frostbite distributions. OBJECTIVE: To investigate if B-mode ultrasonic imaging can provide sufficient information to define the damaged zone during cryotherapy by quantifying the differences of texture features between fresh and frozen-thawed porcine liver tissue. MATERIALS AND METHODS: The B-mode ultrasonic images were obtained from ten porcine liver tissue samples before and after frozen-thawing treatment, then 20 texture parameters of the grey level histogram (GLH) and the grey level co-occurrence matrix (GLCM) from each image were extracted and analyzed statistically. RESULTS: It was found that the differences in two texture parameters between the fresh and frozen-thawed tissue are significant enough for diagnostic purpose (variance: 317.0%, contrast: 144.4%). CONCLUSION: Texture feature analysis of B-mode ultrasonic images can effectively differentiate the fresh and frozen-thawed porcine liver tissues, which offers a prospect for the future practice of evaluating the effectiveness of cryotherapy using Ultrasound.

Original languageEnglish
Pages (from-to)58-63
Number of pages6
JournalCryo letters
Volume40
Issue number1
Publication statusPublished - 2019

Keywords

  • B-mode ultrasonic images
  • cryotherapy
  • frozen-thawed liver tissue
  • image processing

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