Comprehensive Brain MRI Segmentation in High Risk Preterm Newborns

PLoS ONE

Volumn 5, Issue 11, 2010, Pages

  Yu, Xintian ^a   Zhang, Yanjie ^a   Lasky, Robert E ^a   Datta, Sushmita ^a   Parikh, Nehal A ^a   Narayana, Ponnada A ^a  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; BRAIN ATROPHY; BRAIN SIZE; CEREBROSPINAL FLUID; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; EXTREMELY LOW BIRTH WEIGHT; FEMALE; GRAY MATTER; HIGH RISK PATIENT; HUMAN; INTERRATER RELIABILITY; INTRARATER RELIABILITY; MALE; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PREMATURITY; QUANTITATIVE DIAGNOSIS; REPRODUCIBILITY; WHITE MATTER; ALGORITHM; BRAIN; GROWTH, DEVELOPMENT AND AGING; HISTOLOGY; METHODOLOGY; PREGNANCY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN; FEMALE; HUMANS; INFANT, NEWBORN; INFANT, PREMATURE; INFANT, PREMATURE, DISEASES; MAGNETIC RESONANCE IMAGING; PREGNANCY; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY;

EID: 78249244791     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0013874     Document Type: Article

References (69)

1. Anderson PJ, Doyle LW, Victorian Infant Collaborative Study Group (2003) Neurobehavioral outcomes of school-age children born extremely low birth weight or very preterm in the 1990s. JAMA 289: 3264-3272.
2. Hack M, Taylor HG, Drotar D, Schluchter M, Cartar L, et al. (2005) Chronic conditions, functional limitations, and special health care needs of school-aged children born with extremely low-birth-weight in the 1990s. JAMA 294: 318-325.
3. Tyson JE, Parikh NA, Langer J, Green C, Higgins RD (2008) Intensive care for extreme prematurity-moving beyond gestational age. N Engl J Med 358: 1672-1681.
4. Maalouf EF, Duggan PJ, Rutherford MA, Counsell SJ, Fletcher AM, et al. (1999) Magnetic resonance imaging of the brain in a cohort of extremely preterm infants. J Pediatr 135: 351-7.
5. Tolsa CB, Zimine S, Warfield SK, Freschi M, Sancho Rossignol A, et al. (2004) Early alteration of structural and functional brain development in premature infants born with intrauterine growth restriction. Pediatr Res 56: 132-138.
6. Inder TE, Warfield SK, Wang H, Huppi PS, Volpe JJ (2005) Abnormal cerebral structure is present at term in premature infants. Pediatrics 115: 286-294.
7. Limperopoulos C, Soul JS, Haidar H, Huppi PS, Bassan H, et al. (2005) Impaired trophic interactions between the cerebellum and the cerebrum among preterm infants. Pediatrics 116: 844-850.
8. Volpe JJ (2009) Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurol 8: 110-24.
9. Woodward LJ, Anderson PJ, Austin NC, Howard K, Inder TE (2006) Neonatal MRI to predict neurodevelopmental outcomes in preterm infants. N Engl J Med 355: 685-694.
10. Dyet LE, Kennea N, Counsell SJ, Maalouf EF, Ajayi-Obe M, et al. (2006) Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment. Pediatrics 118: 536-548.
11. Peterson BS, Anderson AW, Ehrenkranz R, Staib LH, Tageldin M, et al. (2003) Regional brain volumes and their later neurodevelopmental correlates in term and preterm infants. Pediatrics 111: 939-48.
12. Woodward LJ, Edgin JO, Thompson D, Inder TE (2005) Object working memory deficits predicted by early brain injury and development in the preterm infant. Brain 128: 2578-2587.
13. Parikh NA, Lasky RE, Garza CN, Bonfante-Mejia E, Shankaran S, et al. (2009) Volumetric and anatomical MRI for hypoxic-ischemic encephalopathy: relationship to hypothermia therapy and neurosensory impairments. J Perinatol 29: 143-149.
14. Benders MJ, Groenendaal F, van Bel F, Ha Vinh R, Dubois J, et al. (2009) Brain development of the preterm neonate after neonatal hydrocortisone treatment for chronic lung disease. Pediatr Res 66: 555-559.
15. Ashburner J, Friston KJ (2005) Unified segmentation. Neuroimage 26: 839-851.
16. Wells WM, Grimson WL, Kikinis R, Jolesz FA (1996) Adaptive segmentation of MRI data. IEEE Trans Med Imaging 15: 429-442.
17. Van Leemput K, Maes F, Vandermeulen D, Suetens P (1999) Automated model-based tissue classification of MR images of the brain. IEEE Trans Med Imaging 18: 897-908.
18. Zhang Y, Brady M, Smith S (2001) Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 20: 45-57.
19. Warfield SK, Kaus M, Jolesz FA, Kikinis R (2000) Adaptive, template moderated, spatially varying statistical classification. Med Image Anal 4: 43-55.
20. Anbeek P, Vincken KL, van Osch MJ, Bisschops RH, van der Grond J (2004) Probabilistic segmentation of white matter lesions in MR imaging. Neuroimage 21: 1037-1044.
21. Sajja BR, Datta S, He R, Mehta M, Gupta RK, et al. (2006) Unified approach for multiple sclerosis lesion segmentation on brain MRI. Ann Biomed Eng 34: 142-151.
22. Nishida M, Makris N, Kennedy DN, Vangel M, Fischl B, et al. (2006) Detailed semiautomated MRI based morphometry of the neonatal brain: preliminary results. Neuroimage 32: 1041-1049.
23. Parikh NA, Lasky RE, Kennedy KA, Moya FR, Hochhauser L, et al. (2007) Postnatal dexamethasone therapy and cerebral tissue volumes in extremely low birth weight infants. Pediatrics 119: 265-272.
24. Prastawa M, Gilmore JH, Lin W, Gerig G (2005) Automatic segmentation of MR images of the developing newborn brain. Med Image Anal 9: 457-466.
25. Weisenfeld NI, Mewes AUJ, Warfield SK (2006) Segmentation of newborn brain MRI. Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano 766-769.
26. Anbeek P, Vincken KL, Groenendaal F, Koeman A, van Osch MJ, et al. (2008) Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging. Pediatr Res 63: 158-163.
27. Weisenfeld NI, Warfield SK (2009) Automatic segmentation of newborn brain MRI. Neuroimage 47: 564-572.
28. Xue H, Srinivasan L, Jiang S, Rutherford M, Edwards AD, et al. (2007) Automatic segmentation and reconstruction of the cortex from neonatal MRI. Neuroimage 38: 461-477.
29. Haines DE (1991) Neuroanatomy: An Atlas of Structures, Sections and Systems, 3rd edn. Baltimore, MD: Williams & Wilkins.
30. Bayer SA, Altman J (2003) The Human Brain During the Third Trimester (Atlas of Human Central Nervous System Development). Boca Raton, FL: CRC Press.
31. Michigan State University Brain Biodiversity Bank. The Human Brain Atlas. Available at: https://www.msu.edu/∼brains/brains/human/index.html.
32. Digital Anatomist: Interactive Brain Atlas. University of Washington. Available at: http://www9.biostr.washington.edu/da.html.
33. Convit A, McHugh P, Wolf OT, de Leon MJ, Bobinski M, et al. (1999) MRI volume of the amygdala: a reliable method allowing separation from the hippocampal formation. Psychiatry Res 90: 113-123.
34. Pruessner JC, Li LM, Serles W, Pruessner M, Collins DL, et al. (2000) Volumetry of hippocampus and amygdala with high-resolution MRI and threedimensional analysis software: minimizing the discrepancies between laboratories. Cereb Cortex 10: 433-442.
35. Wilde EA, Bigler ED, Hunter JV, Fearing MA, Scheibel RS, et al. (2007) Hippocampus, amygdala, and basal ganglia morphometrics in children after moderate-to-severe traumatic brain injury. Dev Med Child Neurol 49: 294-299.
36. Honeycutt NA, Smith PD, Aylward E, Li Q, Chan M, et al. (1998) Mesial temporal lobe measurements on magnetic resonance imaging scans. Psychiatry Res 83: 85-94.
37. Gao FQ, Black SE, Leibovitch FS, Callen DJ, Lobaugh NJ, et al. (2003) A reliable MR measurement of medial temporal lobe width from the Sunnybrook Dementia Study. Neurobiol Aging 24: 49-56.
38. Noulhiane M, Samson S, Clemenceau S, Dormont D, Baulac M, et al. (2006) A volumetric MRI study of the hippocampus and the parahippocampal region after unilateral medial temporal lobe resection. J Neurosci Methods 156: 293-304.
39. Hastings RS, Parsey RV, Oquendo MA, Arango V, Mann JJ (2004) Volumetric analysis of the prefrontal cortex, amygdala, and hippocampus in major depression. Neuropsychopharmacology 29: 952-959.
40. Levitt JJ, McCarley RW, Dickey CC, Voglmaier MM, Niznikiewicz MA, et al. (2002) MRI study of caudate nucleus volume and its cognitive correlates in neuroleptic-naive patients with schizotypal personality disorder. Am J Psychiatry 159: 1190-1197.
41. Postle BR, D'Esposito M (2003) Spatial working memory activity of the caudate nucleus is sensitive to frame of reference. Cogn Affect Behav Neurosci 3: 133-144.
42. Gur RE, Maany V, Mozley PD, Swanson C, Bilker W, et al. (1998) Subcortical MRI volumes in neuroleptic-naive and treated patients with schizophrenia. Am J Psychiatry 155: 1711-1717.
43. Perona P, Malik J (1990) Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12: 629-639.
44. Nyul LG, Udupa JK, Zhang X (2000) New variants of a method of MRI scale standardization. IEEE Trans Med Imaging 19: 143-150.
45. nd Edition. New York: Wiley-Interscience. pp 164-174.
46. Narayana PA, Borthakur A (1995) Effect of radio frequency inhomogeneity correction on the reproducibility of intra-cranial volumes using MR image data. Magn Reson Med 33: 396-400.
47. Counsell SJ, Shen Y, Boardman JP, Larkman DJ, Kapellou O, et al. (2006) Axial and radial diffusivity in preterm infants who have diffuse white matter changes on magnetic resonance imaging at term-equivalent age. Pediatrics 117: 376-386.
48. Bland JM, Altman DG (1996) Measurement error. BMJ 313: 744.
49. Dice LR (1945) Measures of the Amount of Ecologic Association Between Species. Ecology 26(3): 297-302.
50. Stokking R, Vincken KL, Viergever MA (2000) Automatic morphology-based brain segmentation (MBRASE) from MRI-T1 data. Neuroimage 12: 726-38.
51. IOM (Institute of Medicine) (2010) Evaluation of biomarkers and surrogate endpoints in chronic disease. Washington, DC: The National Academies Press.
52. Thompson DK, Warfield SK, Carlin JB, Pavlovic M, Wang HX, et al. (2007) Perinatal risk factors altering regional brain structure in the preterm infant. Brain 130: 667-677.
53. Pinto-Martin JA, Riolo S, Cnaan A, Holzman C, Susser MW, et al. (1995) Cranial ultrasound prediction of disabling and nondisabling cerebral palsy at age two in a low birth weight population. Pediatrics 95: 249-254.
54. Whitaker AH, Feldman JF, Van Rossem R, Schonfeld IS, Pinto-Martin JA, et al. (1996) Neonatal cranial ultrasound abnormalities in low birth weight infants: relation to cognitive outcomes at six years of age. Pediatrics 98: 719-729.
55. Laptook AR, O'Shea TM, Shankaran S, Bhaskar B (2005) Adverse neurodevelopmental outcomes among extremely low birth weight infants with a normal head ultrasound: prevalence and antecedents. Pediatrics 115: 673-680.
56. Hintz SR, Slovis T, Bulas D, Van Meurs KP, Perritt R, et al. (2007) Interobserver reliability and accuracy of cranial ultrasound scanning interpretation in premature infants. J Pediatr 150: 592-596, 596.e1-5.
57. Harris DL, Bloomfield FH, Teele RL, Harding JE, Australian and New Zealand Neonatal Network (2006) Variable interpretation of ultrasonograms may contribute to variation in the reported incidence of white matter damage between newborn intensive care units in New Zealand. Arch Dis Child Fetal Neonatal Ed 91: F11-6.
58. Holland D, Brewer JB, Hagler DJ, Fenema-Notestine C, Dale AM, et al. (2009) Subregional neuroanatomical change as a biomarker for Alzheimer's disease. Proc Natl Acad Sci U S A 106: 20954-20959.
59. Matsuzawa J, Matsui M, Konishi T, Noguchi K, Gur RC, et al. (2001) Agerelated volumetric changes of brain gray and white matter in healthy infants and children. Cereb Cortex 11: 335-42.
60. Lodygensky GA, Seghier ML, Warfield SK, Tolsa CB, Sizonenko S, et al. (2008) Intrauterine growth restriction affects the preterm infant's hippocampus. Pediatr Res 63: 438-443.
61. Srinivasan L, Dutta R, Counsell SJ, Allsop JM, Boardman JP, et al. (2007) Quantification of deep gray matter in preterm infants at term-equivalent age using manual volumetry of 3-tesla magnetic resonance images. Pediatrics 119: 759-65.
62. Thompson DK, Wood SJ, Doyle LW, Warfield SK, Lodygensky GA, et al. (2008) Neonate hippocampal volumes: prematurity, perinatal predictors, and 2-year outcome. Ann Neurol 63: 642-651.
63. Bland JM, Altman DG (1996) Measurement error and correlation coefficients. BMJ 313: 41-42.
64. Hart AR, Smith MF, Rigby AS, Wallis LI, Whitby EH (2010) Appearances of diffuse excessive high signal intensity (DEHSI) on MR imaging following preterm birth. Pediatr Radiol Mar 24. [Epub ahead of print].
65. Shah DK, Guinane C, August P, Austin NC, Woodward LJ, et al. (2006) Reduced occipital regional volumes at term predict impaired visual function in early childhood in very low birth weight infants. Invest Ophthalmol Vis Sci 47: 3366-73.
66. Shah DK, Anderson PJ, Carlin JB, Pavlovic M, Howard K, et al. (2006) Reduction in cerebellar volumes in preterm infants: relationship to white matter injury and neurodevelopment at two years of age. Pediatr Res 60: 97-102.
67. Beauchamp MH, Thompson DK, Howard K, Doyle LW, Egan GF, et al. (2008) Preterm infant hippocampal volumes correlate with later working memory deficits. Brain 131: 2986-2994.
68. Lind A, Haataja L, Rautava L, Väliaho A, Lehtonen L, Lapinleimu H, Parkkola R, Korkman M, PIPARI Study Group (2010) Relations between brain volumes, neuropsychological assessment and parental questionnaire in prematurely born children. Eur Child Adolesc Psychiatry 19: 407-17.
69. Cheong JL, Hunt RW, Anderson PJ, Howard K, Thompson DK, Wang HX, Bear MJ, Inder TE, Doyle LW (2008) Head growth in preterm infants: correlation with magnetic resonance imaging and neurodevelopmental outcome. Pediatrics 12: e1534-40.