Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy

Tao Peng, Yiyun Wu, Jing Zhao, Bo Zhang, Jin Wang, Jing Cai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Accurate segmentation of the prostate is important to image-guided prostate biopsy and brachytherapy treatment planning. However, the incompleteness of prostate boundary increases the challenges in the automatic ultrasound prostate segmentation task. In this work, an automatic coarse-to-fine framework for prostate segmentation was developed and tested. Our framework has four metrics: first, it combines the ability of deep learning model to automatically locate the prostate and integrates the characteristics of principal curve that can automatically fit the data center for refinement. Second, to well balance the accuracy and efficiency of our method, we proposed an intelligent determination of the data radius algorithm-based modified polygon tracking method. Third, we modified the traditional quantum evolution network by adding the numerous-operator scheme and global optimum search scheme for ensuring population diversity and achieving the optimal model parameters. Fourth, we found a suitable mathematical function expressed by the parameters of the machine learning model to smooth the contour of the prostate. Results on the multiple datasets demonstrate that our method has good segmentation performance.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
EditorsDonald Adjeroh, Qi Long, Xinghua Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda M. Mondal, Jin Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1126-1131
Number of pages6
ISBN (Electronic)9781665468190
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 - Las Vegas, United States
Duration: 6 Dec 20228 Dec 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

Conference

Conference2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Country/TerritoryUnited States
CityLas Vegas
Period6/12/228/12/22

Keywords

  • a suitable mathematical function
  • improved quantum evolution network
  • modified polygon tracking method
  • Ultrasound prostate segmentation

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Information Systems and Management
  • Biomedical Engineering
  • Medicine (miscellaneous)
  • Cardiology and Cardiovascular Medicine
  • Health Informatics

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