title: A local fast marching-based diffusion tensor image registration algorithm by simultaneously considering spatial deformation and tensor orientation.
abstract: It is a key step to spatially align diffusion tensor images (DTI) to quantitatively compare neural images obtained from different subjects or the same subject at different timepoints. Different from traditional scalar or multi-channel image registration methods, tensor orientation should be considered in DTI registration. Recently, several DTI registration methods have been proposed in the literature, but deformation fields are purely dependent on the tensor features not the whole tensor information. Other methods, such as the piece-wise affine transformation and the diffeomorphic non-linear registration algorithms, use analytical gradients of the registration objective functions by simultaneously considering the reorientation and deformation of tensors during the registration. However, only relatively local tensor information such as voxel-wise tensor-similarity is utilized. This paper proposes a new DTI image registration algorithm, called local fast marching (FM)-based simultaneous registration. The algorithm not only considers the orientation of tensors during registration but also utilizes the neighborhood tensor information of each voxel to drive the deformation, and such neighborhood tensor information is extracted from a local fast marching algorithm around the voxels of interest. These local fast marching-based tensor features efficiently reflect the diffusion patterns around each voxel within a spherical neighborhood and can capture relatively distinctive features of the anatomical structures. Using simulated and real DTI human brain data the experimental results show that the proposed algorithm is more accurate compared with the FA-based registration and is more efficient than its counterpart, the neighborhood tensor similarity-based registration.
authors.affiliation: Center for Bioengineering and Informatics, Department of Radiology, The Methodist Hospital, Weill Cornell Medical College, Houston, TX, USA. zxue@tmhs.org
authors.forename: Zhong
authors.initials: Z
authors.lastname: Xue
authors.forename: Hai
authors.initials: H
authors.lastname: Li
authors.forename: Lei
authors.initials: L
authors.lastname: Guo
authors.forename: Stephen T C
authors.initials: ST
authors.lastname: Wong
mesh_terms: D000465:Algorithms; D001331:Automation; D001921:Brain / Q000033:anatomy & histology*; D003198:Computer Simulation; D019992:Databases as Topic; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009434:Neural Pathways / Q000033:anatomy & histology
references.citation: IEEE Trans Med Imaging. 2002 Nov;21(11):1421-39
references.pmid: 12575879
references.citation: Med Image Comput Comput Assist Interv. 2006;9(Pt 2):629-36
references.pmid: 17354825
references.citation: IEEE Trans Med Imaging. 2002 May;21(5):505-12
references.pmid: 12071621
references.citation: IEEE Trans Med Imaging. 2004 Oct;23(10):1276-91
references.pmid: 15493695
references.citation: IEEE Trans Med Imaging. 2007 Nov;26(11):1598-612
references.pmid: 18041274
references.citation: Magn Reson Med. 2000 Jul;44(1):41-50
references.pmid: 10893520
references.citation: Med Image Anal. 2002 Jun;6(2):143-61
references.pmid: 12045001
references.citation: Neuroimage. 2003 Dec;20(4):1995-2009
references.pmid: 14683705
references.citation: Med Image Comput Comput Assist Interv. 2008;11(Pt 2):905-13
references.pmid: 18982691
references.citation: Neuroimage. 2007 Jul 1;36(3):630-44
references.pmid: 17481925
references.citation: IEEE Trans Med Imaging. 2009 Dec;28(12):1914-28
references.pmid: 19556193
references.citation: Neuroimage. 2006 Mar;30(1):110-20
references.pmid: 16249099
references.citation: Neuroimage. 2010 Jan 15;49(2):1249-58
references.pmid: 19683061
references.citation: Neuroimage. 2002 Oct;17(2):592-617
references.pmid: 12377137
references.citation: Med Image Comput Comput Assist Interv. 2008;11(Pt 2):1014-22
references.pmid: 18982704
references.citation: IEEE Trans Med Imaging. 2004 Jul;23(7):868-80
references.pmid: 15250639
references.citation: IEEE Trans Med Imaging. 1999 Aug;18(8):712-21
references.pmid: 10534053
references.citation: Med Image Comput Comput Assist Interv. 2007;10(Pt 1):351-8
references.pmid: 18051078
references.citation: IEEE Trans Med Imaging. 2008 Apr;27(4):442-56
references.pmid: 18390342
references.citation: Med Image Anal. 2006 Oct;10(5):764-85
references.pmid: 16899392
references.citation: Med Image Anal. 2006 Oct;10(5):740-51
references.pmid: 16887376
references.citation: Med Image Comput Comput Assist Interv. 2008;11(Pt 1):745-53
references.pmid: 18979813
references.citation: IEEE Trans Med Imaging. 2001 Nov;20(11):1131-9
references.pmid: 11700739
references.citation: Magn Reson Med. 2003 Jul;50(1):175-82
references.pmid: 12815692
references.citation: Med Image Anal. 2006 Oct;10(5):786-98
references.pmid: 16926104
references.citation: IEEE Trans Med Imaging. 2007 Nov;26(11):1585-97
references.pmid: 18041273
references.citation: J Mol Neurosci. 2008;34(1):51-61
references.pmid: 18157658