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Automatic Extraction of the Midsagittal Surface from T1-Weighted MR Brain Images Using a Multiscale Filtering Approach

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12950))

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Abstract

The left and right hemispheres of the human brain are separated by a fissure called interhemispheric (IHF), which is commonly shaped by a geometric plane known as the midsagittal plane (MSP). However, despite the name, the MSP does not always resemble a plan since the brain is not perfectly symmetric. The detection of the MSP in human brain images is an essential task to segment the brain hemispheres. Studies suggest that abnormal values of brain asymmetry may be related to traumas and neurological diseases. Through the years, several computer methods were proposed to detect the MSP automatically. Nonetheless, they constrain the detection to a plane without considering brain asymmetries. In this study, an automatic computer technique is developed to detect a midsagittal surface (MSS) in Magnetic Resonance (MR) images using an MSP as a reference, following by multiscale analysis. Different from the MSP, the MSS follows the natural form of the IHF. The proposed method uses a reference MSP to guide a region of interest that potentially contains the IHF. The 3D MR image is decomposed in 2D slices that are processed, filtered, and piled to form an MSS. The proposed method results have shown an accurate detection in all metrics assessed, i.e., DSC of 0.99 and x-distance of 2.13, and a significant improvement of 2.953 for the x-distance compared with the MSP method.

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Notes

  1. 1.

    https://brain-development.org/ixi-dataset/.

References

  1. Ardekani, B.A., Hadid, S.A., Blessing, E., Bachman, A.H.: Sexual dimorphism and hemispheric asymmetry of hippocampal volumetric integrity in normal aging and Alzheimer disease. Am. J. Neuroradiol. 40(2), 276–282 (2019)

    Article  Google Scholar 

  2. Ashburner, J., Hutton, C., Frackowiak, R., Johnsrude, I., Price, C., Friston, K.: Identifying global anatomical differences: deformation-based morphometry. Hum. Brain Mapp. 6(5–6), 348–357 (1998)

    Article  Google Scholar 

  3. Aubert-Broche, B., Griffin, M., Pike, G.B., Evans, A.C., Collins, D.L.: Twenty new digital brain phantoms for creation of validation image data bases. IEEE Trans. Med. Imaging 25(11), 1410–1416 (2006)

    Article  Google Scholar 

  4. Barbará-Morales, E., Pérez-González, J., Rojas-Saavedra, K.C., Medina-Bañuelos, V.: Evaluation of brain tortuosity measurement for the automatic multimodal classification of subjects with Alzheimer’s disease. Comput. Intell. Neurosci. 2020, 11 (2020)

    Article  Google Scholar 

  5. Barnes, J., Scahill, R.I., Schott, J.M., Frost, C., Rossor, M.N., Fox, N.C.: Does Alzheimer’s disease affect hippocampal asymmetry? Evidence from a cross-sectional and longitudinal volumetric MRI study. Dement. Geriatr. Cogn. Disord. 19(5–6), 338–344 (2005)

    Article  Google Scholar 

  6. Bartko, J.J.: Measurement and reliability: statistical thinking considerations. Schizophr. Bull. 17(3), 483–489 (1991)

    Article  Google Scholar 

  7. Brase, C.H., Brase, C.P.: Understanding Basic Statistics. Nelson Education, Toronto (2013)

    Google Scholar 

  8. Buades, A., Coll, B., Morel, J.M.: A review of image denoising algorithms, with a new one. Multiscale Model. Simul. 4(2), 490–530 (2005)

    Article  MathSciNet  Google Scholar 

  9. Crow, T.J.: Schizophrenia as an anomaly of cerebral asymmetry. In: Imaging of the Brain in Psychiatry and Related Fields, pp. 3–17. Springer International Publishing, Heidelberg (1993). https://doi.org/10.1007/978-3-642-77087-6_1

  10. Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)

    Article  Google Scholar 

  11. Ferrari, R.J., Villa-Pinto, C.H., Moreira, C.A.F.: Detection of the midsagittal plane in MR images using a sheetness measure from Eigen analysis of local 3D phase congruency responses. In: International Conference on Image Processing (ICIP), pp. 2335–2339. IEEE, Phoeniz, Arizona (2016)

    Google Scholar 

  12. Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A., Delp, S. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0056195

    Chapter  Google Scholar 

  13. de Lima Freire, P.G., Gregório da Silva, B.C., Villa Pinto, C.H., Ferri Moreira, C.A., Ferrari, R.J.: Midsaggital plane detection in magnetic resonance images using phase congruency, hessian matrix and symmetry information: a comparative study. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10960, pp. 245–260. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95162-1_17

    Chapter  Google Scholar 

  14. Good, C.D., Johnsrude, I., Ashburner, J., Henson, R.N., Friston, K.J., Frackowiak, R.S.: Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains. Neuroimage 14(3), 685–700 (2001)

    Article  Google Scholar 

  15. Guillemaud, R., Marais, P., Zisserman, A., McDonald, B., Crow, T.J., Brady, M.: A three dimensional mid sagittal plane for brain asymmetry measurement. Schizophr. Res. 2(18), 183–184 (1996)

    Article  Google Scholar 

  16. Halle, M., et al.: Multi-modality MRI-based atlas of the brain. http://www.spl.harvard.edu/publications/item/view/2037 (2017)

  17. Herbert, M.R., et al.: Brain asymmetries in autism and developmental language disorder: a nested whole-brain analysis. Brain 128(1), 213–226 (2005)

    Article  Google Scholar 

  18. Hervé, P.Y., Crivello, F., Perchey, G., Mazoyer, B., Tzourio-Mazoyer, N.: Handedness and cerebral anatomical asymmetries in young adult males. Neuroimage 29(4), 1066–1079 (2006)

    Article  Google Scholar 

  19. Hynd, G.W., Semrud-Clikeman, M., Lorys, A.R., Novey, E.S., Eliopulos, D.: Brain morphology in developmental dyslexia and attention deficit disorder/hyperactivity. Arch. Neurol. 47(8), 919–926 (1990)

    Article  Google Scholar 

  20. Iglesias, J.E., Liu, C.Y., Thompson, P.M., Tu, Z.: Robust brain extraction across datasets and comparison with publicly available methods. IEEE Trans. Med. Imaging 30(9), 1617–1634 (2011)

    Article  Google Scholar 

  21. Jack, C.R.J., et al.: The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods. J. Magn. Reson. Imaging 27(4), 685–691 (2017)

    Google Scholar 

  22. Kim, J.S., Koo, D.L., Joo, E.Y., Kim, S.T., Seo, D.W., Hong, S.B.: Asymmetric gray matter volume changes associated with epilepsy duration and seizure frequency in temporal-lobe-epilepsy patients with favorable surgical outcome. J. Clin. Neurol. (Seoul, Korea) 12(3), 323 (2016)

    Article  Google Scholar 

  23. Kovalev, V.A., Kruggel, F., von Cramon, D.Y.: Structural brain asymmetry as revealed by 3D texture analysis of anatomical MR images. In: Object Recognition Supported by User Interaction for Service Robots, pp. 808–811. IEEE, Quebec, Canada (2002)

    Google Scholar 

  24. Kruggel, F., von Cramon, D.Y.: Alignment of magnetic-resonance brain datasets with the stereotactical coordinate system. Med. Image Anal. 3(2), 175–185 (1999)

    Article  Google Scholar 

  25. Kuijf, H.J., Van Veluw, S.J., Geerlings, M.I., Viergever, M.A., Biessels, G.J., Vincken, K.L.: Automatic extraction of the midsagittal surface from brain MR images using the Kullback-Leibler measure. Neuroinformatics 12(3), 395–403 (2014)

    Google Scholar 

  26. Liu, S.X.: Symmetry and asymmetry analysis and its implications to computer-aided diagnosis: a review of the literature. J. Biomed. Inform. 42(6), 1056–1064 (2009)

    Article  Google Scholar 

  27. Lucarelli, R.T., et al.: MR imaging of hippocampal asymmetry at 3T in a multiethnic, population-based sample: results from the Dallas Heart Study. Am. J. Neuroradiol. 34(4), 752–757 (2013)

    Article  Google Scholar 

  28. Luders, E., Gaser, C., Jancke, L., Schlaug, G.: A voxel-based approach to gray matter asymmetries. Neuroimage 22(2), 656–664 (2004)

    Article  Google Scholar 

  29. Mann, H.B., Whitney, D.R.: On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Statist. 18(1), 50–60 (1947)

    Google Scholar 

  30. Martins, S.B., Benato, B.C., Silva, B.F., Yasuda, C.L., Falcão, A.X.: Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation. In: Medical Imaging 2019: Computer-Aided Diagnosis, vol. 10950, p. 109500C. SPIE, San Diego, California (2019)

    Google Scholar 

  31. Ortiz, A., Munilla, J., Martínez, M., Gorriz, J.M., Ramírez, J., Salas-Gonzalez, D.: Parkinson’s disease detection using Isosurfaces-based features and Convolutional Neural Networks. Front. Neuroinform. 13(48), 48 (2019)

    Article  Google Scholar 

  32. Ourselin, S., Stefanescu, R., Pennec, X.: Robust registration of multi-modal images: towards real-time clinical applications. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2489, pp. 140–147. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45787-9_18

    Chapter  Google Scholar 

  33. Ribolsi, M., Daskalakis, Z.J., Siracusano, A., Koch, G.: Abnormal asymmetry of brain connectivity in schizophrenia. Front. Hum. Neurosci. 8, 1010 (2014)

    Article  Google Scholar 

  34. Ruppert, G.C.S., Teverovskiy, L., Yu, C.P., Falcao, A.X., Liu, Y.: A new symmetry-based method for mid-sagittal plane extraction in neuroimages. In: International Symposium on Biomedical Imaging: From Nano to Macro, pp. 285–288. IEEE, Chicago, Illinois, USA (2011)

    Google Scholar 

  35. Sarica, A., et al.: MRI asymmetry index of hippocampal subfields increases through the continuum from the mild cognitive impairment to the Alzheimer’s disease. Front. Neurosci. 12(576), 1–12 (2018)

    Google Scholar 

  36. Schindelin, J., et al.: Fiji: an open-source platform for biological-image analysis. Nat. Methods 9(7), 676–682 (2012)

    Article  Google Scholar 

  37. Späth, H.: One Dimensional Spline Interpolation Algorithms. CRC Press, Boca Raton (1995)

    Google Scholar 

  38. Thompson, P.M., et al.: Dynamics of gray matter loss in Alzheimer’s disease. J. Neurosci. 23(3), 994–1005 (2003)

    Article  Google Scholar 

  39. Toga, A.W., Thompson, P.M.: Mapping brain asymmetry. Nat. Rev. Neurosci. 4(1), 37–48 (2003)

    Article  Google Scholar 

  40. Tustison, N.J., et al.: N4ITK: improved N3 bias correction. IEEE Trans. Med. Imaging 29(6), 1310–1320 (2010)

    Article  Google Scholar 

  41. Wu, W.C., et al.: Hippocampal alterations in children with temporal lobe epilepsy with or without a history of febrile convulsions: evaluations with MR volumetry and proton MR spectroscopy. Am. J. Neuroradiol. 26(5), 1270–1275 (2005)

    Google Scholar 

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Acknowledgment

Funding for ADNI can be found at http://adni.loni.usc.edu/about/#fund-container.

Funding

This study was financed by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) (grant numbers 2018/08826-9 and 2018/06049-5).

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Authors and Affiliations

  1. Department of Computing, Federal University of São Carlos, São Carlos, SP, 13565-905, Brazil

    Fernando N. Frascá, Katia M. Poloni & Ricardo J. Ferrari

Authors
  1. Fernando N. Frascá
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  2. Katia M. Poloni
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  3. Ricardo J. Ferrari
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Corresponding author

Correspondence to Ricardo J. Ferrari .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Frascá, F.N., Poloni, K.M., Ferrari, R.J. (2021). Automatic Extraction of the Midsagittal Surface from T1-Weighted MR Brain Images Using a Multiscale Filtering Approach. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12950. Springer, Cham. https://doi.org/10.1007/978-3-030-86960-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-86960-1_10

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