Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447] (DOI:10.1016/j.neuroimage.2009.05.029);An evaluation of four automatic methods of segmenting the subcortical structures in the brain

NeuroImage

Volumn 47, Issue 4, 2009, Pages 1435-1447

  Babalola, Kolawole Oluwole ^a   Patenaude, Brian ^a   Aljabar, Paul ^a   Schnabel, Julia ^a   Kennedy, David ^a   Crum, William ^a   Smith, Stephen ^a   Cootes, Tim ^a   Jenkinson, Mark ^a   Rueckert, Daniel ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMYGDALOID NUCLEUS; ARTICLE; AUTOMATION; BAYES THEOREM; CLASSIFIER; CONTROLLED STUDY; IMAGE PROCESSING; INTERMETHOD COMPARISON; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEUS ACCUMBENS; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN DISEASES; CHILD; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 67651051867     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.08.005     Document Type: Erratum

References (60)

1. Akselrod-Ballin, A., Galun, M., Gomori, J.M., Brandt, A., Basri, R., 2006. Atlas guided identification of brain structures by combining 3D segmentation and SVM classification. In Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 4191 of LNCS, 209-216.
2. Akselrod-Ballin, A., Galun, M., Gomori, J.M., Brandt, A., Basri, R., 2007. Prior knowledge driven multiscale segmentation of brain MRI. In Proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 4792 of LNCS, 118-126.
3. Aljabar, P., Heckemann, R., Hammers, A., Hajnal, J.V., and Rueckert, D., 2007. Classifier selection strategies for label fusion using large atlas databases. In Proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 4791 of LNCS, 523-531.
4. Babalola, K.O., Petrovic, V., Cootes, T.F., Taylor, C.J., Twining, C.J., Williams, T.G., Mills, A., 2007. Automated segmentation of the caudate nuclei using active appearance models. In Proceedings of the workshop on 3D Segmentation in the clinic: a grand challenge at the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, 57-64, 2007. http://mbi.dkfz-heidelberg.de/grand-challenge2007/.
5. Borgefors G. Distance transforms in arbitrary dimensions. Comput. Vis. Graph. Image Process. 27 (1984) 321-345
6. Bouix S., Martin-Fernandez M., Ungar L., Nakamura M., Koo M., McCarley R.W., and Shenton M.E. On evaluating brain tissue classifiers without a ground truth. NeuroImage 36 (2007) 1207-1224
7. Cardenes, R., Bach, M., Chi, Y., Marras, I., Luis, R., Anderson, M., Cashman, P., Bultelle, M., 2007. Multimodel evaluation for medical image segmentation. In Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, volume 4673 of LNCS, 229-236.
8. Chupin M., Mukuna-Bantumbakulu A.R., Hasboun D., Bardinet B., Baillet S., Kinkingnhun S., Lemieux L., Dubois B., and Garnero L. Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: method and validation on controls and patients with Alzheimer's disease. NeuroImage 34 (2007) 996-1019
9. Ciofolo, C. Barillot, C., 2005. Brain segmentation with competitive level sets and fuzzy control. In Proceedings of the 19th Conference on Information Processing in Medical Imaging, volume 3565 of LNCS, 333-344.
10. Cocosco C.A., Kollokian V., Kwan R.K.S., and Evans A.C. BrainWeb: online interface to a 3D MRI simulated brain database. NeuroImage 5 4 (1997) S425
11. Collins D.L., Holmes C.J., Peters T.M., and Evans A.C. Automatic 3-D model-based neuroanatomical segmentation. Hum. Brain Mapp. 3 3 (1995) 190-208
12. Cootes, T.F., Edwards, G.J., Taylor, C.J., 1998. Active appearance models. In Proceedings of the 5th European Conference on Computer Vision, volume 1407 of LNCS, 484-498.
13. Cootes T.F., Edwards G.J., and Taylor C.J. Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23 6 (2001) 681-685
14. Cootes T.F., Twining C.J., Petrovic V., Schestowitz R., and Taylor C.J. Groupwise construction of appearance models using piece-wise affine deformations. Proceedings of 16th British Machine Vision Conference (2005) 879-888 Oxford
15. Crum W.R., Camara O., and Hill D.L.G. Generalised overlap measures for evaluation and validation in medical image analysis. IEEE Trans. Med. Imag. 25 11 (2006) 1451-1461
16. Desikan R.S., Segonne F., Fischl B., Quinn B.T., Dickerson B.C., Blacker D., Buckner R.L., Dale A.M., Maguire R.P., Hyman B.T., Albert M.S., and Killiany R.J. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31 (2006) 968-980
17. Dice L.R. Measures of the amount of ecologic association between species. Ecology 26 (1945) 297-302
18. Filipek P., Richelme C., Kennedy D., and Caviness V. The young adult human brain: an MRI-based morphometric analysis. Cereb. Cortex 4 (1994) 344-360
19. Fischl B., Salat D.H., Busa E., Albert M., Dieterich M., Haselgrove C., van der Kouwe A., Killiany R., Kennedy D., Klaveness S., Montillo A., Makris N., Rosen B., and Dale A.M. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33 (January 2002) 341-355
20. Frazier J.A., Chiu S., Breeze J.L., Makris N., Lange L., Kennedy D.N., Herbert M.R., Bent E.K., Koneru V.K., Dieterich M.E., Hodge S.M., Rauch S.L., Grant P.E., Cohen B.M., Seidman L.J., Caviness V.S., and Biederman J. Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder. Am. J. Psychiatry 162 (2005) 1256-1265
21. Frazier J.A., Hodge S.M., Breeze J.L., Giuliano A.J., Terry J.E., Moore C.M., Kennedy D.N., Lopez-Larson M.P., Caviness V.S., Seidman L.J., Zablotsky B., and Makris N. Diagnostic and sex effects on limbic volumes in early-onset bipolar disorder and schizophrenia. Schizophr. Bull. 34 1 (2008) 37-46
22. Friston K.J., Holmes A.P., Worsley K.J., Poline J.B., Frith C.D., and Frackowiak R.S.J. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 2 (1995) 189-210
23. Gee J.C., Reivich M., and Bajcsy R. Elastically deforming a three dimensional atlas to match anatomical brain images. J. Comput. Assist. Tomogr. 17 2 (1993) 225-236
24. Gerig, G., Jomier, M., Chakos, M., 2001. Valmet: a new validation tool for assessing and improving 3D object segmentation. In Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 2208 of LNCS, 516-523.
25. Goldstein J.M., Seidman L.J., Makris N., Ahern T., OBrien L.M., Caviness V.S., Kennedy D.N., Faraone S.V., and Tsuang M.T. Hypothalamic abnormalities in schizophrenia: sex effects and genetic vulnerability. Biol. Psychiatry 61 (2007) 935-945
26. Gouttard, S., Styner, M., Joshi, S., Smith, R.G., Cody, H., Gerig, G., 2007. Subcortical structure segmentation using probabilistic atlas priors. volume 6512 of Proceedings of the SPIE, 65122J.
27. Han X., and Fischl B. Atlas renormalization for improved brain MR image segmentation across scanner platforms. IEEE Trans. Med. Imag. 26 4 (April 2007)
28. Heckemann R.A., Hajnal J.V., Aljabar P., Rueckert D., and Hammers A. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage 33 1 (2006) 115-126
29. Heimann, T., Styner, M., Ginneken, B., 2007. 3D segmentation in the clinic - a grand challenge. In Workshop at the 10th International Conference on Medical Imaging and Computer-Assisted Intervention. http://mbi.dkfz-heidelberg.de/grand-challenge2007/.
30. Hill, D.L.G., Hajnal, J.V., Rueckert, D., Smith, S.M., Hartkens, T., McLeish, K., 2002. A dynamic brain atlas. In Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 2488/9 of LNCS, 532-539.
31. Iosifescu D.V., Shenton M.E., Warfield S.K., Kikinis R., Dengler J., Jolesz F.A., and McCarley R.W. An automated registration algorithm for measuring MRI subcortical brain structures. NeuroImage 6 1 (1997) 13-25
32. Jaccard P. The distribution of flora in the alpine zone. New Phytol. 11 (1912) 37-50
33. Kelemen A., Szekely G., and Gerig G. Elastic model-based segmentation of 3-D neuroradiological data sets. IEEE Trans. Med. Imag. 18 10 (1999) 828-839
34. Khan A.R., Wang L., and Beg M.F. Freesurfer-initiated fully-automated subcortical brain segmentation in MRI using large deformation diffeomorphic metric mapping. NeuroImage 41 (2008) 735-746
35. Makris N., Kaiser J., Haselgrove C., Seidman L.J., Biederman J., Boriel D., Valera E.M., Papadimitriou G.M., Fischl B., Caviness V.S., and Kennedy D.N. Human cerebral cortex: a system for the integration of volume and surface-based representations. NeuroImage 33 (2006) 139-153
36. Martin-Fernandez, M., Bouix, S., Ungar, L., McCarley, R.W., Shenton, M.E., 2005. Two methods for validating brain tissue classifiers. In Proceedings of the 8th International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 3749 of LNCS, 515-522.
37. Murgasova M., Dyet L., Edwards A.D., Rutherford M., Hajnal J., and Rueckert D. Segmentation of brain MRI in young children. Acad. Radiol. 11 (2007) 1350-1366
38. Nishida M., Makris N., Kennedy D.N., Vangel M., Fischl B., Krishnamoorthy K.S., Caviness V.S., and Grant P.E. Detailed semiautomated MRI based morphometry of the neonatal brain: preliminary results. NeuroImage 32 (2006) 1041-1049
39. Patenaude B., Smith S., Kennedy D., and Jenkinson M. Bayesian Shape and Appearance Models. Technical Report TR07BP1 (2007), FMRIB Centre, University of Oxford
40. Pitiot A., Delingette H., Thompson P.M., and Ayache N. Expert knowledge-guided segmentation system for brain MRI. NeuroImage 23 (2004) S85-S96
41. Pohl K.M., Bouix S., Nakamura M., Rohlfing T., McCarley R.W., Kikinis R., Grimson E.L., Shenton M.E., and Wells W.M. A hierarchical algorithm for MR brain image parcellation. IEEE Trans. Med. Imag. 26 9 (2007)
42. Popovic A., Fuente M., Engelhardt M., and Radermacher K. Statistical validation metric for accuracy assessment in medical image segmentation. Int. J. Comput. Assist. Radiol. Surg. 2 3-4 (2007) 169-181
43. Powell S., Magnotta V.A., Johnson H., Jammalamadaka V.K., Pierson R., and Andreasen N.C. Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures. NeuroImage 39 1 (2008) 238-247
44. Rohlfing T., Brandt R., Menzel R., and Maurer C.R. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. NeuroImage 21 4 (2004) 1428-1442
45. Rueckert D., Sonoda L.I., Hayes C., Hill D.L.G., Leach M.O., and Hawkes D.J. Non-rigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imag. 18 8 (1999) 712-721
46. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E.J., Johansen-Berg H., Bannister P.R., De Luca M., Drobnjak I., Flitney D.E., Niazy R., Saunders J., Vickers J., Zhang Y., De Stefano N., Brady J.M., and Matthews P.M. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23 S1 (2004) 208-219
47. Studholme C., Hill D.L.G., and Hawkes D.J. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32 (1999) 71-86. http://www.colin-studholme.net Software available from www.colin-studholme.net
48. Svarer C., Madsen K., Hasselbalch S.G., Pinborg L.H., Haugbol S., Frokjaer V.G., Holm S., Paulson O.B., and Knudsen G.M. MR-based automatic delineation of volumes of interest in human brain PET images using probability maps. NeuroImage 24 4 (2005) 969-979
49. 11C]raclopride PET using deformable surface models and normalized cuts. IEEE Trans. Nucl. Sci. 53 1 (February 2006) 220-227
50. Tu Z., Narr K.L., Dollar P., Dinov I., Thompson P.M., and Toga A.W. Brain anatomical structure segmentation by hybrid discriminative/generative models. IEEE Trans. Med. Imag. 27 4 (2008) 495-508
51. Van Leemput K., Maes F., Vandermeulen D., and Suetens P. Automated model-based tissue classification of MR images of the brain. IEEE Trans. Med. Imag. 18 10 (1999) 897-908
52. Walhovd K.B., Moe V., Slinning K., Due-Tonnessen P., Bjornerud A., Dale A.M., van der Kouwe A., Quinn B.T., Kosofsky B., Greve D., and Fischl B. Volumetric cerebral characteristics of children exposed to opiates and other substances in utero. NeuroImage 36 (2007) 1331-1344
53. Wang, Q., Seghers, D., D'Agostino, E., Maes, F., Vandermeulen, D., Suetens, P., Hammers, A., 2005. Construction and validation of mean shape atlas templates for atlas-based brain image segmentation. In Proceedings of the 19th International Conference on Information Processing in Medical Imaging, volume 3565 of LNCS, 689-700.
54. Warfield S.K., Zou K.H., and Wells W.M. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Med. Imag. 23 7 (2004) 903-921
55. Williams G.W. Comparing the agreement of several raters with another rater. Biometrics 32 (1976) 619-627
56. Wu M., Carmichael O., Lopez-Garcia P., Carter C.S., and Aizenstein H.J. Quantitative comparison of AIR, SPM, and the fully deformable model for atlas-based segmentation of functional and structural MR images. Hum. Brain Mapp. 27 (2006) 747-754
57. Xia Y., Bettinger K., Shen L., and Reiss A.L. Automatic segmentation of the caudate nucleus from human brain MR images. IEEE Trans. Med. Imag. 26 4 (2007) 509-517
58. Xue J.H., Ruan S., Moretti B., Revenu M., and Bloyet D. Knowledge-based segmentation and labeling of brain structures from MRI images. Pattern Recogn. Lett. 22 3-4 (2001) 395-405
59. Yushkevich P.A., Piven J., Hazlett H.C., Smith R.G., Ho S., Gee J.C., and Gerig G. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. NeuroImage 31 3 (2006) 1116-1128. http://www.itksnap.org Software available for download from http://www.itksnap.org
60. Zhou J., and Rajapakse C.J. Segmentation of subcortical brain structures using fuzzy templates. NeuroImage 28 4 (2005) 915-924