Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration

Yi Wang, Dong Ni, Jing Qin, Xin Yang, Xiaoyan Xie, Muqing Lin, Pheng Ann Heng

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

2 Citations (Scopus)

Abstract

Fusion of pre-and intra-operative imaging modalities allows the accurate targeting of prostate interventions. We propose a personalized statistical motion model (PSMM) for the deformable registration of prostate magnetic resonance (MR) and 3D transrectal ultrasound (TRUS) images. Comparing to traditional statistical motion model (SMM) methods, for the first time, the biomechanical information obtained from elastography is incorporated into a finite element (FE) model, which is created from preoperative MR images. PSMM is then constructed from training data generated by simulating the prostate deformation from the personalized FE model with realistic boundary conditions. Finally, prostate MR and TRUS images are registered by integrating the PSMM into a robust point matching (RPM) framework. Using data acquired from phantoms, the efficiency of the PSMM and the accuracy of MRI-TRUS registration were evaluated. The mean target registration error was less than 1.7mm, which demonstrates our PSMM can achieve more physically plausible deformation estimation and accurate registration.
Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherIEEE
Pages782-785
Number of pages4
ISBN (Electronic)9781467319591
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Renaissance Beijing Capital Hotel, Beijing, China
Duration: 29 Apr 20142 May 2014

Conference

Conference2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CountryChina
CityBeijing
Period29/04/142/05/14

Keywords

  • Elastography
  • MRI-TRUS registration
  • Personalized modeling
  • Prostate
  • Robust point matching
  • Statistical motion model

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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