Surface-based multi-template automated hippocampal segmentation: Application to temporal lobe epilepsy

Medical Image Analysis

Volumn 16, Issue 7, 2012, Pages 1445-1455

  Kim, Hosung ^a   Mansi, Tommaso ^b   Bernasconi, Neda ^a   Bernasconi, Andrea ^a  

^a MCGILL UNIVERSITY   (Canada)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Automatic segmentation; Hippocampus; Multiple templates; Surface parametrization; Texture

Indexed keywords

3D MODELS; AUTOMATIC SEGMENTATIONS; DISPLACEMENT VECTORS; HEALTHY CONTROLS; HIPPOCAMPUS; LARGE DATABASE; MANUAL SEGMENTATION; MULTIPLE TEMPLATES; PARAMETRIC SURFACES; PARAMETRIZATIONS; ROBUST SEGMENTATION; SEGMENTATION ACCURACY; SEGMENTATION ALGORITHMS; SIMILARITY INDICES; SUBMILLIMETERS; SURFACE-BASED; TEMPORAL LOBE EPILEPSY; UNIFIED FRAMEWORK; VOLUMETRY;

ALGORITHMS; IMAGE SEGMENTATION; NEUROLOGY; TEXTURES;

BRAIN;

ADULT; ALGORITHM; ARTICLE; BRAIN ATROPHY; BRAIN FUNCTION; CLINICAL ASSESSMENT; CONTROLLED STUDY; FEMALE; HIPPOCAMPUS; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SURFMULTI; TEMPORAL LOBE EPILEPSY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EPILEPSY, TEMPORAL LOBE; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84866447191     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2012.04.008     Document Type: Article

References (62)

1. Akhondi-Asl A., Jafari-Khouzani K., Elisevich K., Soltanian-Zadeh H. Hippocampal volumetry for lateralization of temporal lobe epilepsy: automated versus manual methods. Neuroimage 2011, 54:S218-S226.
2. Aljabar P., Heckemann R.A., Hammers A., Hajnal J.V., Rueckert D. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. Neuroimage 2009, 46:726-738.
3. Artaechevarria X., Munoz-Barrutia A., Ortiz-de-Solorzano C. Combination strategies in multi-atlas image segmentation: application to brain MR data. IEEE Trans. Med. Imaging 2009, 28:1266-1277.
4. Avants B.B., Yushkevich P., Pluta J., Minkoff D., Korczykowski M., Detre J., Gee J.C. The optimal template effect in hippocampus studies of diseased populations. Neuroimage 2010, 49:2457-2466.
5. Baulac M., De Grissac N., Hasboun D., Oppenheim C., Adam C., Arzimanoglou A., Semah F., Lehericy S., Clemenceau S., Berger B. Hippocampal developmental changes in patients with partial epilepsy: magnetic resonance imaging and clinical aspects. Ann. Neurol. 1998, 44:223-233.
6. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc. 1995, 57:289-300.
7. Bernasconi A. Magnetic resonance imaging in intractable epilepsy: focus on structural image analysis. Adv. Neurol. 2006, 97:273-278.
8. Bernasconi N., Bernasconi A., Caramanos Z., Antel S.B., Andermann F., Arnold D.L. Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain 2003, 126:462-469.
9. Bernasconi N., Kinay D., Andermann F., Antel S., Bernasconi A. Analysis of shape and positioning of the hippocampal formation: an MRI study in patients with partial epilepsy and healthy controls. Brain 2005, 128:2442-2452.
10. Bland J.M., Altman D.G. Statistical methods for assessing agreement between two methods of clinical measurements. Lancet 1986, 327:307-310.
11. Blumcke I., Thom M., Wiestler O.D. Ammon's horn sclerosis: a maldevelopmental disorder associated with temporal lobe epilepsy. Brain Pathol. 2002, 12:199-211.
12. Cascino G.D. Surgical treatment for epilepsy. Epilepsy Res. 2004, 60:179-186.
13. Cascino G.D. Neuroimaging in epilepsy: diagnostic strategies in partial epilepsy. Semin. Neurol. 2008, 28(523):532.
14. Cendes F., Andermann F., Gloor P., Lopes-Cendes I., Andermann E., Melanson D., Jones-Gotman M., Robitaille Y., Evans A., Peters T. Atrophy of mesial structures in patients with temporal lobe epilepsy: cause or consequence of repeated seizures?. Ann. Neurol. 1993, 34:795-801.
15. Chupin M., Gérardin E., Cuingnet R., Boutet C., Lemieux L., Lehéricy S., Benali H., Garnero L., Colliot O. Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus 2009, 19:579-587.
16. Chupin M., Hammers A., Liu R.S., Colliot O., Burdett J., Bardinet E., Duncan J.S., Garnero L., Lemieux L. Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation. Neuroimage 2009, 46:55.
17. Chupin M., Mukuna-Bantumbakulu A.R., Hasboun D., Bardinet E., Baillet S., Kinkingnehun S., Lemieux L., Dubois B., 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 2007, 34:996-1019.
18. Collins D.L., Holmes C.J., Peters T.M., Evans A.C. Automatic 3-D model-based neuroanatomical segmentation. Hum. Brain Mapp. 1995, 3:190-208.
19. Collins D.L., Neelin P., Peters T.M., Evans A.C. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 1994, 18:192-205.
20. Collins D.L., Pruessner J.C. Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion. Neuroimage 2010, 52:1355-1366.
21. Coupé P., Manjón J.V., Fonov V., Pruessner J., Robles M., Collins D.L. Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation. Neuroimage 2011, 54:940-954.
22. Fischl B., Salat D.H., Busa E., Albert M., Dieterich M., Haselgrove C., van der K.A., Killiany R., Kennedy D., Klaveness S., Montillo A., Makris N., Rosen B., Dale A.M. Whole brain segmentation. Automated labeling of neuroanatomical structures in the human brain. Neuron 2002, 33:341-355.
23. Fonov V., Evans A.C., Botteron K., Almli C.R., McKinstry R.C., Collins D.L. Unbiased average age-appropriate atlases for pediatric studies. Neuroimage 2011, 54:313-327.
24. Frisoni G.B., Fox N.C., Jack C.R., Scheltens P., Thompson P.M. The clinical use of structural MRI in Alzheimer disease. Nat. Rev. Neurol. 2010, 6:67-77.
25. Grigorescu S.E., Petkov N., Kruizinga P. Comparison of texture features based on Gabor filters. IEEE Trans. Image Process. 2002, 11:1160-1167.
26. Hammers A., Heckemann R., Koepp M.J., Duncan J.S., Hajnal J.V., Rueckert D., Aljabar P. Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: a proof-of-principle study. Neuroimage 2007, 36:38-47.
27. Heckemann R.A., Hajnal J.V., Aljabar P., Rueckert D., Hammers A. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. Neuroimage 2006, 33:115-126.
28. Heckemann R.A., Keihaninejad S., Aljabar P., Rueckert D., Hajnal J.V., Hammers A. Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation. Neuroimage 2010, 51:221-227.
29. Hedges D.W., Woon F.L. Alcohol use and hippocampal volume deficits in adults with posttraumatic stress disorder: a meta-analysis. Biol. Psychol. 2010, 84:163-168.
30. Jackson G.D., Berkovic S.F., Duncan J.S., Connelly A. Optimizing the diagnosis of hippocampal sclerosis using MR imaging. AJNR 1993, 14:753-762.
31. Jackson G.D., Berkovic S.F., Tress B.M., Kalnins R.M., Fabinyi G.C., Bladin P.F. Hippocampal sclerosis can be reliably detected by magnetic resonance imaging. Neurology 1990, 40:1869-1875.
32. Kelemen A., Szekely G., Gerig G. Elastic model-based segmentation of 3-D neuroradiological data sets. IEEE Trans. Med. Imaging 1999, 18:828-839.
33. Khan A.R., Wang L., Beg M.F. FreeSurfer-initiated fully-automated subcortical brain segmentation in MRI using large deformation diffeomorphic metric mapping. Neuroimage 2008, 41:735-746.
34. Kim H., Bernasconi N., Bernhardt B., Colliot O., Bernasconi A. Basal temporal sulcal morphology in healthy controls and patients with temporal lobe epilepsy. Neurology 2008, 70:2159-2165.
35. Kim H., Bernasconi N., Mansi T., Bernasconi A. Robust surface-based multi-template automated algorithm to segment healthy and pathological hippocampi. Med. Image. Comp. Comp. Assist. Interv. 2011, 6893.
36. Kim H., Chupin M., Colliot O., Bernhardt B.C., Bernasconi N., Bernasconi A. Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities. Neuroimage 2012, 59:3178-3186.
37. Kim J.S., Singh V., Lee J.K., Lerch J., Ad-Dab'bagh Y., MacDonald D., Lee J.M., Kim S.I., Evans A.C. Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification. Neuroimage 2005, 27:210-221.
38. Kiwiel K.C. Convergence and efficiency of subgradient methods for quasiconvex minimization. Math. Program. 2001, 90:1-25.
39. Klemencic, J., Pluim, J.P.W., Viergever, M.A., Schnack, H.G., Valencic, V., 2004. Non-rigid Registration Based Active Appearance Models for 3D Medical Image Segmentation. Society for Imaging Science and Technology, Springfield, VA, ETATS-UNIS.
40. Koh J., Kim T., Chaudhary V., Dhillon G. Automatic segmentation of the spinal cord and the dural sac in lumbar MR images using gradient vector flow field. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2010, 2010:3117-3120.
41. Konrad C., Ukas T., Nebel C., Arolt V., Toga A.W., Narr K.L. Defining the human hippocampus in cerebral magnetic resonance images - an overview of current segmentation protocols. Neuroimage 2009, 47:1185-1195.
42. Kuzniecky R., Bilir E., Gilliam F., Faught E., Martin R., Hugg J. Quantitative MRI in temporal lobe epilepsy: evidence for fornix atrophy. Neurology 1999, 53:496-501.
43. Lee S., Wolberg G., Shin S.Y. Scattered data interpolation with multilevel B-splines. IEEE Trans. Visual Comput. Graphics 1997, 3:228-244.
44. Leventon M., Grimson E., Faugeras O. Statistical shape influence in geodesic active contours. IEEE Trans. Med. Imaging 2000, 21:525-537.
45. Lotjonen J.M., Wolz R., Koikkalainen J.R., Thurfjell L., Waldemar G., Soininen H., Rueckert D. Fast and robust multi-atlas segmentation of brain magnetic resonance images. Neuroimage 2010, 49:2352-2365.
46. Morey R.A., Petty C.M., Xu Y., Pannu Hayes J., Wagner Ii H.R., Lewis D.V., LaBar K.S., Styner M., McCarthy G. A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage 2009, 45:855-866.
47. Morra J.H., Tu Z., Apostolova L.G., Green A.E., Avedissian C., Madsen S.K., Parikshak N., Hua X., Toga A.W., Jack C.R., Weiner M.W., Thompson P.M. Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls. Neuroimage 2008, 43:59-68.
48. Pardoe H.R., Pell G.S., Abbott D.F., Jackson G.D. Hippocampal volume assessment in temporal lobe epilepsy: how good is automated segmentation?. Epilepsia 2009, 50:55.
49. Pitiot A., Delingette H., Thompson P.M., Ayache N. Expert knowledge-guided segmentation system for brain MRI. Neuroimage 2004, 23:S85-S96.
50. Riviere D., Mangin J.F., Papadopoulos-Orfanos D., Martinez J.M., Frouin V., Regis J. Automatic recognition of cortical sulci of the human brain using a congregation of neural networks. Med. Image Anal. 2002, 6:77-92.
51. Rohlfing T., Brandt R., Menzel R., Maurer C.R. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. Neuroimage 2004, 21:1428-1442.
52. Sabuncu M.R., Yeo B.T., Van Leemput K., Fischl B., Golland P. A generative model for image segmentation based on label fusion. IEEE Trans. Med. Imaging 2010, 29:1714-1729.
53. Schramm, J., Clusmann, H., 2008. The surgery of epilepsy. Neurosurgery 62(Suppl. 2), 463-481 (discussion 481).
54. Sled J.G., Zijdenbos A.P., Evans A.C. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging 1998, 17:87-97.
55. Sloviter R.S., Kudrimoti H.S., Laxer K.D., Barbaro N.M., Chan S., Hirsch L.J., Goodman R.R., Pedley T.A. "Tectonic" hippocampal malformations in patients with temporal lobe epilepsy. Epilepsy Res. 2004, 59:123-153.
56. Spoletini I., Cherubini A., Banfi G., Rubino I.A., Peran P., Caltagirone C., Spalletta G. Hippocampi, thalami, and accumbens microstructural damage in schizophrenia: a volumetry, diffusivity, and neuropsychological study. Schizophr. Bull. 2011, 37:118-130.
57. Styner, M., Oguz, I., Xu, S., Brechbühler, C., Pantazis, D., Gerig, G., 2006. Statistical Shape Analysis of Brain Structures using SPHARM-PDM. MICCAI 2006 Opensource Workshop.
58. Taheri S., Ong S.H., Chong V.F.H. Level-set segmentation of brain tumors using a threshold-based speed function. Image Vis. Comput. 2010, 28:26-37.
59. Tsai A., Yezzi A., Wells W., Tempany C., Tucker D., Fan A., Grimson W.E., Willsky A. A shape-based approach to the segmentation of medical imagery using level sets. IEEE Trans. Med. Imaging 2003, 22:137-154.
60. Videbech P., Ravnkilde B. Hippocampal volume and depression: a meta-analysis of MRI studies. Am. J. Psychiatry 2004, 161:1957-1966.
61. Voets N.L., Bernhardt B.C., Kim H., Yoon U., Bernasconi N. Increased temporolimbic cortical folding complexity in temporal lobe epilepsy. Neurology 2011, 76:138-144.
62. Yang J., Duncan J.S. 3D image segmentation of deformable objects with joint shape-intensity prior models using level sets. Med. Image Anal. 2004, 8:285-294.