Mouse embryonic phenotyping by morphometric analysis of MR images

Physiological Genomics

Volumn 42 A, Issue 2, 2010, Pages 89-95

  Zamyadi, M ^a,b   Baghdadi, L ^b   Lerch, J P ^a,b   Bhattacharya, S ^c   Schneider, J E ^c   Henkelman, R M ^a,b   Sled, J G ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b HOSPITAL FOR SICK CHILDREN   (Canada)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Magnetic resonance imaging; Morphometry; Mouse embryo; Phenotype comparison

Indexed keywords

ANATOMICAL VARIATION; ARTICLE; COMPARATIVE ANATOMY; EMBRYO; EMBRYO (ANATOMY); IMAGE ANALYSIS; MORPHOMETRICS; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; ORGAN SIZE; PHENOTYPE; PRIORITY JOURNAL; QUALITATIVE ANALYSIS;

ANIMALS; BODY SIZE; EMBRYO, MAMMALIAN; FEMALE; MAGNETIC RESONANCE IMAGING; MICE; NONLINEAR DYNAMICS; ORGAN SIZE; PHENOTYPE; SPECIES SPECIFICITY;

EID: 77958074657     PISSN: 10948341     EISSN: 15312267     Source Type: Journal    
DOI: 10.1152/physiolgenomics.00091.2010     Document Type: Article

References (26)

1. Baghdadi L, Sled JG, Schneider JE, Henkelman RM, Lerch JP. Semi-automatic segmentation of mouse embryo MRIs. Int Soc Magn Reson Med: 1779, 2009.
2. Chen XJ, Kovacevic N, Lobaugh NJ, Sled JG, Henkelman RM, Henderson JT. Neuroanatomical differences between mouse strains as shown by high-resolution 3D MRI. Neuroimage 29: 99-105, 2006.
3. Chernick MR. Bootstrap Methods: A Guide for Practitioners and Researchers. Hoboken, NJ: Wiley-Interscience, 2008.
4. Chung MK, Worsley KJ, Paus T, Cherif C, Collins DL, Giedd JN, Rapoport JL, Evans AC. A unified statistical approach to deformation-based morphometry. Neuroimage 14: 595-606, 2001.
5. Collins DL, Evans AC. Animal: validation and applications of nonlinear registration-based segmentation. Int J Patt Recogn Artif Intell 11: 1271-1294, 1997.
6. Collins FS, Rossant J, Wurst W. A mouse for all reasons. Cell 128: 9-13, 2007.
7. Complex Trait Consortium. The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat Genet 36: 1133-1137, 2004. (Pubitemid 41288956)
8. Efron B, Tibshirani RJ. An Introduction to the Bootstrap. New York: Chapman & Hall, 1993.
9. Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 15: 870-878, 2002.
10. Kaufman MH. The Atlas of Mouse Development. New York: Academic Press, 1992.
11. Kovacevic N, Chen J, Sled JG, Henderson J, Henkelman M. Deformation based representation of groupwise average and variability. Lecture Notes in Computer Science: 615-622, 2004.
12. Kovacevic N, Henderson JT, Chan E, Lifshitz N, Bishop J, Evans AC, Henkelman RM, Chen XJ. A three-dimensional MRI atlas of the mouse brain with estimates of the average and variability. Cereb Cortex 15: 639-645, 2005.
13. Maheswaran S, Barjat H, Bate ST, Aljabar P, Hill DL, Tilling L, Upton N, James MF, Hajnal JV, Rueckert D. Analysis of serial magnetic resonance images of mouse brains using image registration. Neuroimage 44: 692-700, 2009.
14. Mouse Genome Sequencing Consortium. Initial sequencing and comparative analysis of the mouse genome. Nature 420: 520-562, 2002.
15. Mu J, Slevin JC, Qu D, McCormick S, Adamson SL. In vivo quantification of embryonic and placental growth during gestation in mice using micro-ultrasound. Reprod Biol Endocrinol 6: 34, 2008.
16. Nieman BJ, Flenniken AM, Adamson SL, Henkelman RM, Sled JG. Anatomical phenotyping in the brain and skull of a mutant mouse by magnetic resonance imaging and computed tomography. Physiol Genomics 24: 154-162, 2006.
17. Nieman BJ, Lerch JP, Bock NA, Chen XJ, Sled JG, Henkelman RM. Mouse behavioral mutants have neuroimaging abnormalities. Hum Brain Mapp 28: 567-575, 2007.
18. Robbins S, Evans AC, Collins DL, Whitesides S. Tuning and comparing spatial normalization methods. Med Image Anal 8: 311-323, 2004. (Pubitemid 39185914)
19. Roderick TH, Wimer RE, Wimer CC, Schwartzkroin PA. Genetic and phenotypic variation in weight of brain and spinal cord between inbred strains of mice. Brain Res 64: 345-353, 1973.
20. Schneider JE, Bhattacharya S. Making the mouse embryo transparent: identifying developmental malformations using magnetic resonance imaging. Birth Defects Res C Embryo Today 72: 241-249, 2004.
21. Schneider JE, Bose J, Bamforth SD, Gruber AD, Broadbent C, Clarke K, Neubauer S, Lengeling A, Bhattacharya S. Identification of cardiac malformations in mice lacking Ptdsr using a novel high-throughput magnetic resonance imaging technique. BMC Dev Biol 4: 16, 2004. (Pubitemid 40317951)
22. Shattuck DW, Sandor-Leahy SR, Schaper KA, Rottenberg DA, Leahy RM. Magnetic resonance image tissue classification using a partial volume model. Neuroimage 13: 856-876, 2001.
23. Sled JG, Zijdenbos AP, Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 17: 87-97, 1998.
24. Spring S, Lerch JP, Henkelman RM. Sexual dimorphism revealed in the structure of the mouse brain using three-dimensional magnetic resonance imaging. Neuroimage 35: 1424-1433, 2007. (Pubitemid 46561367)
25. Spurney CF, Leatherbury L, Lo CW. High-frequency ultrasound database profiling growth, development, and cardiovascular function in C57BL/6J mouse fetuses. J Am Soc Echocardiogr 17: 893-900, 2004. (Pubitemid 38987750)
26. Theiler K. The House Mouse: Atlas of Embryonic Development. New York: Springer-Verlag, 1989.