Automated brain tissue segmentation based on fractional signal mapping from inversion recovery Look-Locker acquisition.
Most current automated segmentation methods are performed on T(1)- or T(2)-weighted MR images, relying on relative image intensity that is dependent on other MR parameters and sensitive to B(1) magnetic field inhomogeneity. Here, we propose an image segmentation method based on quantitative longitudinal magnetization relaxation time (T(1)) of brain tissues. Considering the partial volume effect, fractional volume maps of brain tissues (white matter, gray matter, and cerebrospinal fluid) were obtained by fitting the observed signal in an inversion recovery procedure to a linear combination of three exponential functions, which represents the relaxations of each of the tissue types. A Look-Locker acquisition was employed to accelerate the acquisition process. The feasibility and efficacy of this proposed method were evaluated using simulations and experiments. The potential applications of this method in the study of neurological disease as well as normal brain development and aging are discussed.
Shin
Wanyong
W
Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA. shinwa@nida.nih.gov
Geng
Xiujuan
X
Gu
Hong
H
Zhan
Wang
W
Zou
Qihong
Q
Yang
Yihong
Y
D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000033:anatomy & histology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted
Brain. 2008 Dec;131(Pt 12):3277-85
19022861
Neuroimage. 2000 Jun;11(6 Pt 1):805-21
10860804
Neuroimage. 1999 Jan;9(1):18-45
9918726
IEEE Trans Med Imaging. 2001 Jan;20(1):45-57
11293691
MAGMA. 2008 Mar;21(1-2):131-47
18338191
IEEE Trans Med Imaging. 2000 Dec;19(12):1179-87
11212366
Neurobiol Aging. 2008 Feb;29(2):290-302
17049410
IEEE Trans Med Imaging. 1997 Dec;16(6):878-86
9533587
IEEE Trans Med Imaging. 2005 Dec;24(12):1548-65
16350916
Magn Reson Med. 2008 Dec;60(6):1396-407
19025906
Neuroimage. 2007 Oct 15;38(1):114-23
17804258
Magn Reson Med. 1986 Apr;3(2):303-11
3713494
AJNR Am J Neuroradiol. 2007 Oct;28(9):1639-44
17893225
Med Phys. 1993 Jul-Aug;20(4):1033-48
8413011
Am J Psychiatry. 2005 Dec;162(12):2315-21
16330596
Magn Reson Med. 2006 Dec;56(6):1261-73
17075857
J Magn Reson Imaging. 1996 May-Jun;6(3):425-35
8724407
Radiology. 1985 Jan;154(1):221-4
3964938
J Magn Reson Imaging. 1998 Sep-Oct;8(5):1097-105
9786148
IEEE Trans Med Imaging. 1998 Feb;17(1):74-86
9617909
Magn Reson Med. 2003 May;49(5):872-84
12704770
IEEE Trans Med Imaging. 1997 Apr;16(2):176-86
9101327
Magn Reson Imaging. 1995;13(3):343-68
7791545
IEEE Trans Med Imaging. 1993;12(3):566-74
18218450
J Comput Assist Tomogr. 1997 Jul-Aug;21(4):567-81
9216760
Magn Reson Med. 1996 Jul;36(1):21-9
8795016
Magn Reson Med. 2009 Apr;61(4):899-906
19195021
Neuroimage. 2009 Aug 1;47(1):194-8
19344771
Neuroimage. 2005 Jul 1;26(3):839-51
15955494
Magn Reson Med. 2009 Aug;62(2):520-6
19526506
Neuroimage. 2000 Dec;12(6):640-56
11112396
Magn Reson Med. 2003 Dec;50(6):1296-301
14648578
Cereb Cortex. 1998 Jun;8(4):372-84
9651132
Neuroimage. 2001 May;13(5):856-76
11304082