Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40816
Title: An adaptive patient specific deformable registration for breast images of positron emission tomography and magnetic resonance imaging using finite element approach
Authors: Xue, C
Tang, FH 
Keywords: Breast
Magnetic resonance imaging
Positron emission tomography
Tissues
Medical imaging
Modeling
Finite element methods
Image registration
Issue Date: 2014
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2014, v. 9034, 90343H How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
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.
Description: Medical Imaging 2014 : Image Processing, San Diego, CA, 15 Feb, 2014
URI: http://hdl.handle.net/10397/40816
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.2043252
Appears in Collections:Conference Paper

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