메뉴 건너뛰기




Volumn 9415, Issue , 2015, Pages

Deep learning for automatic localization, identification, and segmentation of vertebral bodies in volumetric MR images

Author keywords

Deep learning; Spine segmentation; Statistical model registration; Vertebra identification; Vertebra localization

Indexed keywords

IMAGE SEGMENTATION; ITERATIVE METHODS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAXIMUM PRINCIPLE; MEDICAL IMAGING; MUSCULOSKELETAL SYSTEM; ROBOTICS;

EID: 84943578706     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2081542     Document Type: Conference Paper
Times cited : (53)

References (22)
  • 2
    • 79957995550 scopus 로고    scopus 로고
    • Whole vertebral bone segmentation method with a statistical intensity-shape model based approach
    • International Society for Optics and Photonics
    • Hanaoka, S., Fritscher, K., Schuler, B., Masutani, Y., Hayashi, N., Ohtomo, K., and Schubert, R., "Whole vertebral bone segmentation method with a statistical intensity-shape model based approach", in [SPIE medical imaging], 796242-796242, International Society for Optics and Photonics (2011).
    • (2011) SPIE Medical imaging , pp. 796242-796242
    • Hanaoka, S.1    Fritscher, K.2    Schuler, B.3    Masutani, Y.4    Hayashi, N.5    Ohtomo, K.6    Schubert, R.7
  • 5
    • 67349192210 scopus 로고    scopus 로고
    • Automated model-based vertebra detection, identification, and segmentation in CT images
    • Klinder, T., Ostermann, J., Ehm, M., Franz, A., Kneser, R., and Lorenz, C., "Automated model-based vertebra detection, identification, and segmentation in CT images", Medical image analysis 13(3), 471-482 (2009).
    • (2009) Medical Image Analysis , vol.13 , Issue.3 , pp. 471-482
    • Klinder, T.1    Ostermann, J.2    Ehm, M.3    Franz, A.4    Kneser, R.5    Lorenz, C.6
  • 6
    • 33947729771 scopus 로고    scopus 로고
    • Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images
    • Naegel, B., "Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images", Computerized Medical Imaging and Graphics 31(3), 141-156 (2007).
    • (2007) Computerized Medical Imaging and Graphics , vol.31 , Issue.3 , pp. 141-156
    • Naegel, B.1
  • 7
    • 84878603191 scopus 로고    scopus 로고
    • A statistical multi-vertebrae shape+pose model for segmentation of CT images
    • Rasoulian, A., Rohling, R., and Abolmaesumi, P., "A statistical multi-vertebrae shape+pose model for segmentation of CT images", in [SPIE Medical Imaging], 8671 (2013).
    • (2013) SPIE Medical Imaging , pp. 8671
    • Rasoulian, A.1    Rohling, R.2    Abolmaesumi, P.3
  • 9
    • 84883036122 scopus 로고    scopus 로고
    • Simultaneous localization of lumbar vertebrae and intervertebral discs with SVM-based MRF
    • Oktay, A. B. and Akgul, Y. S., "Simultaneous localization of lumbar vertebrae and intervertebral discs with SVM-based MRF", Biomedical Engineering, IEEE Transactions on 60(9), 2375-2383 (2013).
    • (2013) Biomedical Engineering, IEEE Transactions on , vol.60 , Issue.9 , pp. 2375-2383
    • Oktay, A.B.1    Akgul, Y.S.2
  • 11
    • 78650858835 scopus 로고    scopus 로고
    • Labeling of lumbar discs using both pixel- and object-level features with a two-level probabilistic model
    • Alomari, R. S., Corso, J. J., and Chaudhary, V., "Labeling of lumbar discs using both pixel- and object-level features with a two-level probabilistic model", Medical Imaging, IEEE Transactions on 30(1), 1-10 (2011).
    • (2011) Medical Imaging, IEEE Transactions on , vol.30 , Issue.1 , pp. 1-10
    • Alomari, R.S.1    Corso, J.J.2    Chaudhary, V.3
  • 12
    • 84902145131 scopus 로고    scopus 로고
    • Automatic labeling and segmentation of vertebrae in CT images
    • International Society for Optics and Photonics
    • Rasoulian, A., Rohling, R. N., and Abolmaesumi, P., "Automatic labeling and segmentation of vertebrae in CT images", in [SPIE Medical Imaging], 903623-903623, International Society for Optics and Photonics (2014).
    • (2014) SPIE Medical Imaging , pp. 903623-903623
    • Rasoulian, A.1    Rohling, R.N.2    Abolmaesumi, P.3
  • 13
    • 84902166756 scopus 로고    scopus 로고
    • Semi-automatic segmentation of vertebral bodies in volumetric MR images using a statistical shape+pose model
    • International Society for Optics and Photonics
    • Suzani, A., Rasoulian, A., Fels, S., Rohling, R. N., and Abolmaesumi, P., "Semi-automatic segmentation of vertebral bodies in volumetric MR images using a statistical shape+pose model", in [SPIE Medical Imaging], 90360P-90360P, International Society for Optics and Photonics (2014).
    • (2014) SPIE Medical Imaging , pp. 90360P-90360P
    • Suzani, A.1    Rasoulian, A.2    Fels, S.3    Rohling, R.N.4    Abolmaesumi, P.5
  • 14
    • 84885136637 scopus 로고    scopus 로고
    • Lumbar spine segmentation using a statistical multivertebrae anatomical shape+pose model
    • Rasoulian, A., Rohling, R., and Abolmaesumi, P., "Lumbar spine segmentation using a statistical multivertebrae anatomical shape+pose model.", IEEE Trans. Med. Imaging 32(10), 1890-1900 (2013).
    • (2013) IEEE Trans. Med. Imaging , vol.32 , Issue.10 , pp. 1890-1900
    • Rasoulian, A.1    Rohling, R.2    Abolmaesumi, P.3
  • 15
    • 33744930583 scopus 로고    scopus 로고
    • User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
    • Yushkevich, P. A., Piven, J., Cody Hazlett, H., Gimpel Smith, R., 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), 1116-1128 (2006).
    • (2006) Neuroimage , vol.31 , Issue.3 , pp. 1116-1128
    • Yushkevich, P.A.1    Piven, J.2    Cody Hazlett, H.3    Gimpel Smith, R.4    Ho, S.5    Gee, J.C.6    Gerig, G.7
  • 18
    • 77956220369 scopus 로고    scopus 로고
    • Kernel density estimation via diffusion
    • Botev, Z., Grotowski, J., Kroese, D., et al., "Kernel density estimation via diffusion", The Annals of Statistics 38(5), 2916-2957 (2010).
    • (2010) The Annals of Statistics , vol.38 , Issue.5 , pp. 2916-2957
    • Botev, Z.1    Grotowski, J.2    Kroese, D.3
  • 19
    • 49349108623 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu, N., "A threshold selection method from gray-level histograms", Automatica 11(285-296), 23-27 (1975).
    • (1975) Automatica , vol.11 , Issue.285-296 , pp. 23-27
    • Otsu, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.