Towards ultra-high resolution fibre tract mapping of the human brain - registration of polarised light images and reorientation of fibre vectors.
Polarised light imaging (PLI) utilises the birefringence of the myelin sheaths in order to visualise the orientation of nerve fibres in microtome sections of adult human post-mortem brains at ultra-high spatial resolution. The preparation of post-mortem brains for PLI involves fixation, freezing and cutting into 100-mum-thick sections. Hence, geometrical distortions of histological sections are inevitable and have to be removed for 3D reconstruction and subsequent fibre tracking. We here present a processing pipeline for 3D reconstruction of these sections using PLI derived multimodal images of post-mortem brains. Blockface images of the brains were obtained during cutting; they serve as reference data for alignment and elimination of distortion artefacts. In addition to the spatial image transformation, fibre orientation vectors were reoriented using the transformation fields, which consider both affine and subsequent non-linear registration. The application of this registration and reorientation approach results in a smooth fibre vector field, which reflects brain morphology. PLI combined with 3D reconstruction and fibre tracking is a powerful tool for human brain mapping. It can also serve as an independent method for evaluating in vivo fibre tractography.
Palm
Christoph
C
Institute of Neuroscience and Medicine (INM-1, INM-2, INM-4), Research Centre Jülich and Jülich-Aachen Research Alliance (JARA-Brain) Aachen, Germany.
Axer
Markus
M
Gräßel
David
D
Dammers
Jürgen
J
Lindemeyer
Johannes
J
Zilles
Karl
K
Pietrzyk
Uwe
U
Amunts
Katrin
K
Microsc Res Tech. 2009 Feb;72(2):110-9
19003887
Neuroimage. 2007 Jan 15;34(2):618-38
17110133
J Neurosci Methods. 2008 May 30;170(2):332-44
18321589
Microsc Res Tech. 2007 Oct;70(10):851-63
17661367
Biophys J. 1994 Jan;66(1):259-67
8130344
Neuroimage. 2007 Aug 15;37(2):530-8
17604650
IEEE Trans Med Imaging. 2001 Nov;20(11):1131-9
11700739
J Neurosci Methods. 1992 Dec;45(3):199-207
1294853
Brain. 2007 Mar;130(Pt 3):630-53
17293361
J Neurosci Methods. 2001 Feb 15;105(2):121-31
11275269
Neuroimage. 2010 Jan 15;49(2):1241-8
19733674
NMR Biomed. 2002 Nov-Dec;15(7-8):456-67
12489095
IEEE Trans Med Imaging. 1995;14(1):25-35
18215807
J Neurosci Methods. 1988 Nov;26(1):55-74
3199848
IEEE Trans Image Process. 1996;5(10):1435-47
18290061
J Neurosci Methods. 2003 Mar 30;124(1):93-102
12648768
Neuroimage. 2006 Mar;30(1):61-9
16426866
Med Image Anal. 2003 Dec;7(4):565-75
14561559
Neuroimage. 2002 May;16(1):241-50
11969331
Phys Med Biol. 2005 Nov 7;50(21):5153-74
16237247
IEEE Trans Med Imaging. 2000 Mar;19(3):153-65
10875700
Med Image Anal. 1997 Sep;1(4):379-98
9873917
IEEE Trans Med Imaging. 1999 Aug;18(8):712-21
10534053
Neuroimage. 2006 Feb 15;29(4):1344-58
16216535
Proc SPIE Int Soc Opt Eng. 2008 Mar;6916:
30546193
Neuroimage. 1995 Mar;2(1):9-20
9343586
J Neurosci Methods. 1998 Oct 1;84(1-2):77-86
9821637
J Neurosci Methods. 2007 Aug 15;164(1):191-204
17560659
J Cereb Blood Flow Metab. 2007 Oct;27(10):1742-55
17377517
Neuroimage. 2004 Sep;23(1):111-27
15325358
Med Image Anal. 2008 Aug;12(4):427-41
18325825
Phys Med Biol. 2009 May 21;54(10):3269-89
19420424
Comput Med Imaging Graph. 2002 Nov-Dec;26(6):439-44
12453507
Neuroimage. 2008 Apr 1;40(2):482-494
18234520
NMR Biomed. 2002 Nov-Dec;15(7-8):468-80
12489096
Neuroimage. 2006 Apr 1;30(2):359-76
16406816
Hum Brain Mapp. 1998;6(5-6):339-47
9788070
Eur J Nucl Med Mol Imaging. 2005 Jun;32(6):696-701
15747156
Neuroimage. 1997 Jan;5(1):31-40
9038282
Med Image Anal. 2006 Jun;10(3):465-83
15963755
Neuroimaging Clin N Am. 2001 May;11(2):151-69, vii
11489732
Int J Imaging Syst Technol. 2008;18(5-6):325-335
19169415