Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Volumn , Issue , 2014, Pages 213-216

  Schwing, Alexander G ^a   Zheng, Yefeng ^b  

^a ETH ZURICH   (Switzerland)

^b SIEMENS AG   (Germany)

Author keywords

Brain landmark detection; Magnetic resonance imaging; Mid sagittal plane detection

Indexed keywords

BRAIN MAPPING; EXTRACTION; VOLUMETRIC ANALYSIS;

LANDMARK DETECTION; MID-SAGITTAL PLANES; PEDIATRIC PATIENTS; REGULAR STRUCTURE; RELIABLE DETECTION; ROBUST APPROACHES; VALIDATED RESULTS; VOLUMETRIC DATA;

MAGNETIC RESONANCE IMAGING;

EID: 84927915984     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isbi.2014.6867847     Document Type: Conference Paper

References (10)

1. F. Bergo, A. Falcao, C. Yasuda, and G. Ruppert, "Fast, accurate and precise mid-sagittal plane location in 3D MR images of the brain," in Proc. Biomedical Engineering Systems and Technologies, 2008, pp. 278-290.
2. P. Anbazhagan, A. Carass, P.-L. Bazin, and J.-L. Prince, "Automatic estimation of midsagittal plane and AC-PC alignment on nonrigid registration," in Proc. IEEE Int'l Sym. Biomedical Imaging, 2006, pp. 828-831.
3. L. Teverovskiy and Y. Liu, "Truly 3D midsagittal plane extraction for robust neuroimage registration," in Proc. IEEE Int'l Sym. Biomedical Imaging, 2006, pp. 860-863.
4. A. V. Tuzikov, O. Colliot, and I. Bloch, "Evaluation of the symmetry plane in 3D MR brain images," Pattern Recogn. Lett., Vol. 24, no. 14, pp. 2219-2233, 2003.
5. R. Guillemaud, P. Marais, A. Zisserman, B. McDonald, T.J. Crow, and M. Brady, "A three dimensional mid sagittal plane for brain asymmetry measurement," Schizophrenia Research, Vol. 18, no. 2, pp. 183-184, 1996.
6. M. E. Brummer, "Hough transform detection of the longitudinal fissure in tomographic head images," IEEE Trans. Medical Imaging, Vol. 10, no. 1, pp. 74-81, 1991.
7. I. Volkau, K.N.B. Prakash, A. Ananthasubramaniam, A. Aziz, and W.L. Nowinski, "Extraction of the midsagittal plane from morphological neuroimages using the Kullback-Leibler's measure," Medical Image Analysis, Vol. 10, pp. 863-874, 2006.
8. Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Co-maniciu, "Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes using marginal space learning and steerable features," IEEE Trans. Medical Imaging, Vol. 27, no. 11, pp. 1668-1681, 2008.
9. Y. Zheng, B. Georgescu, and D. Comaniciu, "Marginal space learning for efficient detection of 2D/3D anatomical structures in medical images," in Proc. Information Processing in Medical Imaging, 2009, pp. 411-422.
10. A.G. Schwing, C. Zach, Y. Zheng, and M. Pollefeys, "Adaptive random forest - how many "experts" to ask before making a decision?," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2011, pp. 1377-1384.