title: Adaptive kernels for multi-fiber reconstruction.
abstract: In this paper we present a novel method for multi-fiber reconstruction given a diffusion-weighted MRI dataset. There are several existing methods that employ various spherical deconvolution kernels for achieving this task. However the kernels in all of the existing methods rely on certain assumptions regarding the properties of the underlying fibers, which introduce inaccuracies and unnatural limitations in them. Our model is a non trivial generalization of the spherical deconvolution model, which unlike the existing methods does not make use of a fix-shaped kernel. Instead, the shape of the kernel is estimated simultaneously with the rest of the unknown parameters by employing a general adaptive model that can theoretically approximate any spherical deconvolution kernel. The performance of our model is demonstrated using simulated and real diffusion-weighed MR datasets and compared quantitatively with several existing techniques in literature. The results obtained indicate that our model has superior performance that is close to the theoretic limit of the best possible achievable result.
authors.affiliation: CISE Department, University of Florida, Gainesville, FL 32611, USA. abarmpou@cise.ufl.edu
authors.forename: Angelos
authors.initials: A
authors.lastname: Barmpoutis
authors.forename: Bing
authors.initials: B
authors.lastname: Jian
authors.forename: Baba C
authors.initials: BC
authors.lastname: Vemuri
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
references.citation: Magn Reson Med. 2005 Dec;54(6):1377-86
references.pmid: 16247738
references.citation: Med Image Anal. 2009 Jun;13(3):432-44
references.pmid: 19269242
references.citation: Magn Reson Med. 2005 Nov;54(5):1194-206
references.pmid: 16161109
references.citation: IEEE Trans Med Imaging. 2007 Aug;26(8):1091-102
references.pmid: 17695129
references.citation: Inf Process Med Imaging. 2009;21:139-50
references.pmid: 19694259
references.citation: Magn Reson Med. 2002 Sep;48(3):454-9
references.pmid: 12210909
references.citation: Magn Reson Med. 2004 Nov;52(5):965-78
references.pmid: 15508168
references.citation: Magn Reson Med. 2007 Sep;58(3):497-510
references.pmid: 17763358
references.citation: Neuroimage. 2004 Nov;23(3):1176-85
references.pmid: 15528117
references.citation: Neuroimage. 2006 Jul 1;31(3):1086-103
references.pmid: 16546404
references.citation: Radiology. 1986 Nov;161(2):401-7
references.pmid: 3763909
references.citation: Inf Process Med Imaging. 2007;20:308-19
references.pmid: 17633709
references.citation: Magn Reson Med. 2002 Oct;48(4):577-82
references.pmid: 12353272
references.citation: Magn Reson Med. 2002 Aug;48(2):331-40
references.pmid: 12210942
references.citation: Magn Reson Med. 2004 Dec;52(6):1358-72
references.pmid: 15562495
references.citation: Magn Reson Med. 2003 Nov;50(5):1077-88
references.pmid: 14587019
references.citation: Neuroimage. 2007 Jan 1;34(1):144-55
references.pmid: 17070705
references.citation: J Magn Reson B. 1994 Mar;103(3):247-54
references.pmid: 8019776
references.citation: Magn Reson Med. 2002 Jun;47(6):1083-99
references.pmid: 12111955
references.citation: IEEE Trans Med Imaging. 2007 Nov;26(11):1464-71
references.pmid: 18041262
references.citation: Magn Reson Med. 2005 Dec;54(6):1480-9
references.pmid: 16265642
references.citation: J Magn Reson. 2006 Dec;183(2):193-202
references.pmid: 16963296
references.citation: Magn Reson Med. 2006 Jul;56(1):104-17
references.pmid: 16755539
references.citation: Neuroimage. 2007 Aug 1;37(1):164-76
references.pmid: 17570683
references.citation: Neuroimage. 2006 Oct 1;32(4):1499-509
references.pmid: 16806988