Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2801
Title: Computerized method for nonrigid MR-to-PET breast-image registration
Authors: Ünlü, Mehmet Zübeyir
Krol, A.
Magri, A.
Mandel, J. A.
Lee, W.
Baum, K. G.
Lipson, E. D.
Coman, I. L.
Feiglin, D. H.
Ünlü, Mehmet Zübeyir
Izmir Institute of Technology. Electronics and Communication Engineering
Keywords: Image registration
Biomechanics
Electromagnetic wave attenuation
Gamma rays
Positron emission tomography
Issue Date: Jan-2010
Publisher: Elsevier Ltd.
Source: Ünlü, M. Z., Krol, A., Magri, A., Mandel, J. A., Lee, W., Baum, K. G., Lipson, E. D., Coman, I. L., and Feiglin, D. H. (2010). Computerized method for nonrigid MR-to-PET breast-image registration. Computers in Biology and Medicine, 40(1), 37-53. doi:10.1016/j.compbiomed.2009.10.010
Abstract: We have developed and tested a new simple computerized finite element method (FEM) approach to MR-to-PET nonrigid breast-image registration. The method requires five-nine fiducial skin markers (FSMs) visible in MRI and PET that need to be located in the same spots on the breast and two on the flanks during both scans. Patients need to be similarly positioned prone during MRI and PET scans. This is accomplished by means of a low gamma-ray attenuation breast coil replica used as the breast support during the PET scan. We demonstrate that, under such conditions, the observed FSM displacement vectors between MR and PET images, distributed piecewise linearly over the breast volume, produce a deformed FEM mesh that reasonably approximates nonrigid deformation of the breast tissue between the MRI and PET scans. This method, which does not require a biomechanical breast tissue model, is robust and fast. Contrary to other approaches utilizing voxel intensity-based similarity measures or surface matching, our method works for matching MR with pure molecular images (i.e. PET or SPECT only). Our method does not require a good initialization and would not be trapped by local minima during registration process. All processing including FSMs detection and matching, and mesh generation can be fully automated. We tested our method on MR and PET breast images acquired for 15 subjects. The procedure yielded good quality images with an average target registration error below 4 mm (i.e. well below PET spatial resolution of 6-7 mm). Based on the results obtained for 15 subjects studied to date, we conclude that this is a very fast and a well-performing method for MR-to-PET breast-image nonrigid registration. Therefore, it is a promising approach in clinical practice. This method can be easily applied to nonrigid registration of MRI or CT of any type of soft-tissue images to their molecular counterparts such as obtained using PET and SPECT. © 2009 Elsevier Ltd. All rights reserved.
URI: http://doi.org/10.1016/j.compbiomed.2009.10.010
http://hdl.handle.net/11147/2801
ISSN: 0010-4825
0010-4825
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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