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Research ArticleBrain
Open Access

Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images

T.C. Steed, J.M. Treiber, K.S. Patel, Z. Taich, N.S. White, M.L. Treiber, N. Farid, B.S. Carter, A.M. Dale and C.C. Chen
American Journal of Neuroradiology April 2015, 36 (4) 678-685; DOI: https://doi.org/10.3174/ajnr.A4171
T.C. Steed
aFrom the Neurosciences Graduate Program (T.C.S.)
bSchool of Medicine (T.C.S., J.M.T.)
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
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J.M. Treiber
bSchool of Medicine (T.C.S., J.M.T.)
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
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K.S. Patel
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
fWeill-Cornell Medical College (K.S.P.), New York Presbyterian Hospital, New York, New York.
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Z. Taich
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
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N.S. White
cMultimodal Imaging Laboratory (N.S.W., N.F., A.M.D.)
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M.L. Treiber
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
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N. Farid
cMultimodal Imaging Laboratory (N.S.W., N.F., A.M.D.)
dDepartment of Radiology (N.F., A.M.D.)
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B.S. Carter
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
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A.M. Dale
cMultimodal Imaging Laboratory (N.S.W., N.F., A.M.D.)
dDepartment of Radiology (N.F., A.M.D.)
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C.C. Chen
eCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center (T.C.S., J.M.T., K.S.P., Z.T., M.L.T., B.S.C., C.C.C.), University of California, San Diego, La Jolla, California
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REFERENCES

  1. 1.↵
    1. Omuro A,
    2. DeAngelis LM
    . Glioblastoma and other malignant gliomas: a clinical review. JAMA 2013;310:1842–50
    CrossRefPubMedWeb of Science
  2. 2.↵
    1. Minniti G,
    2. Muni R,
    3. Lanzetta G, et al
    . Chemotherapy for glioblastoma: current treatment and future perspectives for cytotoxic and targeted agents. Anticancer Res 2009;29:5171–84
    Abstract/FREE Full Text
  3. 3.↵
    1. Brennan CW,
    2. Verhaak RG,
    3. McKenna A, et al
    . The somatic genomic landscape of glioblastoma. Cell 2013;155:462–77
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Diehn M,
    2. Nardini C,
    3. Wang DS, et al
    . Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proc Natl Acad Sci U S A 2008;105:5213–18
    Abstract/FREE Full Text
  5. 5.↵
    1. Gutman DA,
    2. Cooper LA,
    3. Hwang SN, et al
    . MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology 2013;267:560–69
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Deeley MA,
    2. Chen A,
    3. Datteri R, et al
    . Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study. Phys Med Boil 2011;56:4557–77
    CrossRef
  7. 7.↵
    1. Weltens C,
    2. Menten J,
    3. Feron M, et al
    . Interobserver variations in gross tumor volume delineation of brain tumors on computed tomography and impact of magnetic resonance imaging. Radiother Oncol 2001;60:49–59
    CrossRefPubMedWeb of Science
  8. 8.↵
    1. Zhu Y,
    2. Young GS,
    3. Xue Z, et al
    . Semi-automatic segmentation software for quantitative clinical brain glioblastoma evaluation. Acad Radiol 2012;19:977–85
    CrossRefPubMed
  9. 9.↵
    1. Diaz I,
    2. Boulanger P,
    3. Greiner R, et al
    . An automatic brain tumor segmentation tool. Conf Proc IEEE Eng Med Biol Soc 2013;2013:3339–42
    PubMed
  10. 10.↵
    1. Harati V,
    2. Khayati R,
    3. Farzan A
    . Fully automated tumor segmentation based on improved fuzzy connectedness algorithm in brain MR images. Comput Boil Med 2011;41:483–92
    CrossRef
  11. 11.↵
    1. Prastawa M,
    2. Bullitt E,
    3. Moon N, et al
    . Automatic brain tumor segmentation by subject specific modification of atlas priors. Acad Radiol 2003;10:1341–48
    CrossRefPubMed
  12. 12.↵
    1. Zikic D,
    2. Glocker B,
    3. Konukoglu E, et al
    . Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR. Med Image Comput Comput Assist Interv 2012;15:369–76
    PubMed
  13. 13.↵
    1. Phillips WE 2nd.,
    2. Phuphanich S,
    3. Velthuizen RP, et al
    . Automatic magnetic resonance tissue characterization for three-dimensional magnetic resonance imaging of the brain. J Neuroimaging 1995;5:171–77
    PubMed
  14. 14.↵
    1. Clark MC,
    2. Hall LO,
    3. Goldgof DB, et al
    . Automatic tumor segmentation using knowledge-based techniques. IEEE Trans Medi Imaging 1998;17:187–201
    CrossRef
  15. 15.↵
    1. Lee CH,
    2. Wang S,
    3. Murtha A, et al
    . Segmenting brain tumors using pseudo-conditional random fields. Med Image Comput Comput Assist Interv 2008;11(pt 1):359–66
    PubMed
  16. 16.↵
    1. Prastawa M,
    2. Bullitt E,
    3. Ho S, et al
    . A brain tumor segmentation framework based on outlier detection. Med Image Anal 2004;8:275–83
    CrossRefPubMedWeb of Science
  17. 17.↵
    1. Jiang T,
    2. Navab N,
    3. Pluim JW, et al.
    1. Menze B,
    2. van Leemput K,
    3. Lashkari D, et al
    . A generative model for brain tumor segmentation in multi-modal images. In: Jiang T, Navab N, Pluim JW, et al., eds. Medical Image Computing and Computer-Assisted Intervention: MICCAI 2010. Berlin: Springer-Verlag Berlin; 2010:151–59
  18. 18.↵
    1. Gordillo N,
    2. Montseny E,
    3. Sobrevilla P
    . State of the art survey on MRI brain tumor segmentation. Magn Reson Imaging 2013;31:1426–38
    CrossRefPubMedWeb of Science
  19. 19.↵
    1. Jenkinson M,
    2. Beckmann CF,
    3. Behrens TE, et al
    . FSL. Neuroimage 2012;62:782–90
    CrossRefPubMedWeb of Science
  20. 20.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Woolrich MW, et al
    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(suppl 1):S208–19
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Dale AM,
    2. Fischl B,
    3. Sereno MI
    . Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999;9:179–94
    CrossRefPubMedWeb of Science
  22. 22.↵
    1. Jovicich J,
    2. Czanner S,
    3. Greve D, et al
    . Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage 2006;30:436–43
    CrossRefPubMedWeb of Science
  23. 23.↵
    1. Holland D,
    2. Kuperman JM,
    3. Dale AM
    . Efficient correction of inhomogeneous static magnetic field-induced distortion in echo planar imaging. Neuroimage 2010;50:175–83
    CrossRefPubMedWeb of Science
  24. 24.↵
    1. Smith SM
    . Fast robust automated brain extraction. Hum Brain Mapp 2002;17:143–55
    CrossRefPubMedWeb of Science
  25. 25.↵
    1. Grabner G,
    2. Janke AL,
    3. Budge MM, et al
    . Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults. Med Image Comput Comput Assist Interv 2006;9(pt 2):58–66
  26. 26.↵
    1. Jenkinson M,
    2. Smith S
    . A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5:143–56
    CrossRefPubMedWeb of Science
  27. 27.↵
    1. Jenkinson M,
    2. Bannister P,
    3. Brady M, et al
    . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002;17:825–41
    CrossRefPubMedWeb of Science
  28. 28.↵
    1. Iglesias JE,
    2. Liu CY,
    3. Thompson PM, et al
    . Robust brain extraction across datasets and comparison with publicly available methods. IEEE Trans Med Imaging 2011;30:1617–34
    CrossRefPubMedWeb of Science
  29. 29.↵
    1. Otsu N
    . A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 1979;9:62–66
    CrossRefWeb of Science
  30. 30.↵
    1. Steenwijk MD,
    2. Pouwels PJ,
    3. Daams M, et al
    . Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs). Neuroimage Clin 2013;3:462–69
    CrossRefPubMed
  31. 31.↵
    1. Anbeek P,
    2. Vincken KL,
    3. van Bochove GS, et al
    . Probabilistic segmentation of brain tissue in MR imaging. Neuroimage 2005;27:795–804
    CrossRefPubMedWeb of Science
  32. 32.↵
    1. Dice LR
    . Measures of the amount of ecologic association between species. Ecology 1945;26:297–302
    CrossRefWeb of Science
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T.C. Steed, J.M. Treiber, K.S. Patel, Z. Taich, N.S. White, M.L. Treiber, N. Farid, B.S. Carter, A.M. Dale, C.C. Chen
Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images
American Journal of Neuroradiology Apr 2015, 36 (4) 678-685; DOI: 10.3174/ajnr.A4171

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Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images
T.C. Steed, J.M. Treiber, K.S. Patel, Z. Taich, N.S. White, M.L. Treiber, N. Farid, B.S. Carter, A.M. Dale, C.C. Chen
American Journal of Neuroradiology Apr 2015, 36 (4) 678-685; DOI: 10.3174/ajnr.A4171
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