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Radiological Symmetry of Brain and Head Images: Comparison and Applications

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Abstract

Most existing image-based approaches neglect the difference in radiological symmetry between the human brain and head. Thus, it is important to analyze and quantify the spatial relationship between the brain symmetry plane (BSP) and the head symmetry plane (HSP) on radiological images. The HSP and BSP were calculated through maximizing local symmetry within the head or cerebrum followed by outlier removal. The HSPs and BSPs for 145 diversified MRI datasets (80 normal, 23 pathological, and 42 synthesized) were extracted and compared. The average angular and distance deviations between the HSP and BSP were 0.49° and 1.65 mm, respectively. These deviations are dependent upon ethnicity and gender, being: (1) (0.56°, 1.85 mm) and (0.42°, 0.91 mm) for Caucasians and Asians, respectively; and (2) (0.33°, 1.17 mm) and (0.51°, 1.58 mm) for males and females, respectively. The HSP is generally different from the BSP on MR images. Statistically, they can be used interchangeably if accuracy of (0.49°, 1.65 mm) is acceptable. The BSP is preferred for a high accuracy Talairach transformation and localization of the anterior and posterior commissures. Either BSP or HSP can be used for medium accuracy Talairach transform. The HSP is preferred for detecting intracranial pathology.

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References

  1. Geschwind N, Galaburda AM (1987) Cerebral lateralization: biological mechanisms, associations, and pathology. MIT, Cambridge

    Google Scholar 

  2. Prima S, Ourselin S, Ayache N (2002) Computation of the midsagittal plane in 3D brain images. IEEE Trans Med Imaging 21(2):122–38

    Article  PubMed  Google Scholar 

  3. Liu Y, Collins RT, Rothfus WE (2001) Robust midsagittal plane extraction from normal and pathological 3D neuroradiology images. IEEE Trans Med Imaging 20(3):173–92

    Google Scholar 

  4. Lorenzen P, Joshi S, Gerig G, Bullitt E (2001) Tumor-induced structural and radiometric asymmetry in brain images. In: Proceedings IEEE workshop on mathematical methods in biomedical image analysis, pp 163–70

  5. Smith S, Jenkinson J (1999) Accurate robust symmetry estimation. In: Taylor C, Colchester A (eds) Lecture notes in computer science. MICCAI’99 vol 1679, pp. 308–17

  6. Ardekani BA, Kershaw J, Braun M, Kanno I (1997) Automatic detection of mid-sagittal plane in 3D brain images. IEEE Trans Med Imaging 16(6):947–952

    Article  PubMed  CAS  Google Scholar 

  7. Sun C, Sherrah J (1997) 3D symmetry detection using the extended Gaussian image. IEEE Trans Pattern Anal Mach Intell 19(2):164–168

    Article  Google Scholar 

  8. Hu Q, Nowinski WL (2003) Spatial relationship between the interhemispheric fissure plane and the head symmetry plane. In: Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K, Reiber JHC (eds) Proceedings of the 17th international congress and exhibition CARS 2003 computer assisted radiology and surgery. Elsevier, Amsterdam, pp 220–225

    Google Scholar 

  9. Hu Q, Nowinski WL (2003) A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal. Neuroimage 20(4):2154–2166

    Article  Google Scholar 

  10. Wang Z, Hu Q, Loe KF, Aziz A, Nowinski WL (2004) Rapid and automatic detection of brain tumors in MR images. In: SPIE international symposium on medical imaging, vol 5369, pp 602–612

  11. Juhl JH, Crummy AB, Kuhlman JE (1998) Essentials of radiologic imaging, 7th edn. Lippincott-Raven, New York, p 381

    Google Scholar 

  12. Talairach J, Tournoux P (1988) Co-planar stereotactic atlas of the human brain. Georg Thieme Verlag/Thieme Medical Publishers, Stuttgart/New York

    Google Scholar 

  13. Nowinski WL, Qian G, BhanuPrakash KN, Hu Q, Aziz A (2006) Fast Talairach transformation for magnetic resonance neuroimages. J Comput Assis Tomogr (in press)

  14. BhanuPrakash KN, Hu Q, Aziz A, Nowinski WL (2006) Rapid and automatic localization of the anterior and posterior commissure point landmarks in MR volumetric neuroimages. Acad Radio 13(1):36–54

    Article  CAS  Google Scholar 

  15. Lancaster JL, Glass TG, Lankipalli BR, Downs H, Mayberg H, Fox PT (1995) A modality-independent approach to spatial normalization of tomographic images of the human brain. Human Brain Mapping 209–223.

  16. Kapouleas I, Alavi A, Alves WM, Gur RE (1991) Registration of three-dimensional MR and PET images of the human brain without markers. Radiology 181:731–739

    PubMed  CAS  Google Scholar 

  17. Nowinski WL (2001) Modified Talairach landmarks. Acta Neurochirurgica 143(10):1045–1057

    Article  PubMed  CAS  Google Scholar 

  18. Hu Q, Qian G, Nowinski WL (2005) Fast, accurate and automatic extraction of the modified Talairach cortical landmarks from MR images. Magn Reson Med 53(4):970–976

    Article  PubMed  Google Scholar 

  19. Chen Z, Feng D, Cai W (2003) Pathological lesion detection in 3D dynamic PET images using asymmetry. In: Proceedings of the 12th International conference on Image Analysis and Processing, pp 295–300

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Correspondence to Qingmao Hu.

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Hu, Q., Nowinski, W.L. Radiological Symmetry of Brain and Head Images: Comparison and Applications. Int J CARS 1, 75–81 (2006). https://doi.org/10.1007/s11548-006-0039-3

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