Fast Registration Algorithm of MVCT and KVCT Based on Mutual Information

Ziting Fan, Yuxin Lei, Jun Zhang, Ruijie Yang, Junhai Wen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Mutual information-based image registration is a common method for placement registration in radiotherapy. This paper uses the ART (Algebraic Reconstruction Technology) algorithm to reconstruct the electronic portal imaging device (EPID) field images obtained during low-dose radiotherapy. The reconstructed results MVCT and planned KVCT are used for maximum mutual information registration. The mutual information registration algorithm proposed in this paper combines gray level compression and area search, which greatly improves the speed of maximum mutual information registration. The feasibility of the algorithm is verified by experiments, which are divided into eight groups of different phantom placement and one group of phantom deformation to explore the low-dose rigid registration ability and the ability to resist cross-period lesion changes of the algorithm.

Original languageEnglish
Title of host publication2022 IEEE 22nd International Conference on Communication Technology, ICCT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1600-1604
Number of pages5
ISBN (Electronic)9781665470674
DOIs
Publication statusPublished - 2022
Event22nd IEEE International Conference on Communication Technology, ICCT 2022 - Virtual, Online, China
Duration: 11 Nov 202214 Nov 2022

Publication series

NameInternational Conference on Communication Technology Proceedings, ICCT
Volume2022-November-November

Conference

Conference22nd IEEE International Conference on Communication Technology, ICCT 2022
Country/TerritoryChina
CityVirtual, Online
Period11/11/2214/11/22

Keywords

  • ART
  • KVCT
  • MVCT
  • grayscale compression
  • mutual information

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