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 language | English |
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Title of host publication | 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 |
Publisher | IEEE |
Pages | 782-785 |
Number of pages | 4 |
ISBN (Electronic) | 9781467319591 |
Publication status | Published - 1 Jan 2014 |
Externally published | Yes |
Event | 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Renaissance Beijing Capital Hotel, Beijing, China Duration: 29 Apr 2014 → 2 May 2014 |
Conference
Conference | 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 |
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Country/Territory | China |
City | Beijing |
Period | 29/04/14 → 2/05/14 |
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