@inproceedings{7235cdb52bc2472197680ff1dc6b99d2,
title = "An adaptive patient specific deformable registration for breast images of positron emission tomography and magnetic resonance imaging using finite element approach",
abstract = "A patient specific registration model based on finite element method was investigated in this study. Image registration of Positron Emission Tomography (PET) and Magnetic Resonance imaging (MRI) has been studied a lot. Surface-based registration is extensively applied in medical imaging. We develop and evaluate a registration method combine surface-based registration with biomechanical modeling..Four sample cases of patients with PET and MRI breast scans performed within 30 days were collected from hospital. K-means clustering algorithm was used to segment images into two parts, which is fat tissue and neoplasm [2]. Instead of placing extrinsic landmarks on patients body which may be invasive, we proposed a new boundary condition to simulate breast deformation during two screening. Then a three dimensional model with meshes was built. Material properties were assigned to this model according to previous studies. The whole registration was based on a biomechanical finite element model, which could simulate deformation of breast under pressure.",
keywords = "Breast deformation, Explicit contact analysis, Finite element analysis, Registration",
author = "Cheng Xue and Tang, {Fuk Hay}",
year = "2014",
doi = "10.1117/12.2043252",
language = "English",
isbn = "9780819498274",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Medical Imaging 2014",
address = "United States",
note = "Medical Imaging 2014: Image Processing ; Conference date: 16-02-2014 Through 18-02-2014",
}