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Volumn , Issue , 2012, Pages 980-987

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOUR MODEL; ANNOTATED DATABASE; AUTOMATIC EXTRACTION; CENTERLINE EXTRACTION; CENTERLINES; CHEST CT SCANS; CLINICAL APPLICATION; CT IMAGE; DEFORMABLE TEMPLATE MATCHING; EXPERIMENTAL VALIDATIONS; MARKOV RANDOM FIELDS; ORDERS OF MAGNITUDE; POST PROCESSING; PRIOR SHAPES; RIGID TRANSFORMATIONS; SEED POINT; SHAPE CONSTRAINTS; SHAPE DEFORMATION; TOPDOWN;

EID: 84866642473     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247774     Document Type: Conference Paper
Times cited : (45)

References (28)
  • 1
    • 34248594102 scopus 로고    scopus 로고
    • Estimation of the deformations induced by articulated bodies: Registration of the spinal column
    • U. Author. Estimation of the deformations induced by articulated bodies: registration of the spinal column. Biomed. Signal Process. Control, 1(2):16-24, 2007.
    • (2007) Biomed. Signal Process. Control , vol.1 , Issue.2 , pp. 16-24
    • Author, U.1
  • 2
    • 0036462551 scopus 로고    scopus 로고
    • Initialization noise, singularities, and scale in height ridge traversal for tubular object centerline extraction
    • S. R. Aylward. Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction. IEEE Trans. Med. Imag., 21(2), 2002.
    • (2002) IEEE Trans. Med. Imag. , vol.21 , pp. 2
    • Aylward, S.R.1
  • 4
    • 0042904903 scopus 로고    scopus 로고
    • A new point maching algorithm for non-grid registration
    • H. Chui and A. Rangarajan. A new point maching algorithm for non-grid registration. Comput Vis Image Und, 89(2-3):114-141, 2003.
    • (2003) Comput Vis Image und , vol.89 , Issue.2-3 , pp. 114-141
    • Chui, H.1    Rangarajan, A.2
  • 6
    • 0005090507 scopus 로고
    • Summed-area tables for texture mapping
    • C. Franklin. Summed-area tables for texture mapping. In SIGGRAPH, 1984.
    • (1984) SIGGRAPH
    • Franklin, C.1
  • 7
    • 68949157285 scopus 로고    scopus 로고
    • Evaluation of intramedullary rib splints for lessinvasive stabilisation of rib fractures
    • I. Helzel, W. Long, D. Fitzpatrick, S. Madey, and M. Bottlang. Evaluation of intramedullary rib splints for lessinvasive stabilisation of rib fractures. Injury, 40(10):1104-1110, 2009.
    • (2009) Injury , vol.40 , Issue.10 , pp. 1104-1110
    • Helzel, I.1    Long, W.2    Fitzpatrick, D.3    Madey, S.4    Bottlang, M.5
  • 8
    • 34250090755 scopus 로고
    • Snakes: Active contour model
    • M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour model. IJCV, pages 321-331, 1988.
    • (1988) IJCV , pp. 321-331
    • Kass, M.1    Witkin, A.2    Terzopoulos, D.3
  • 9
    • 0036031195 scopus 로고    scopus 로고
    • An object-tracking segmentation method: Vertebra and rib segmentation in CT images
    • D. Kim, H. Kim, and H. S. Kang. An object-tracking segmentation method: vertebra and rib segmentation in CT images. In SPIE Medical Imaging, 2002.
    • (2002) SPIE Medical Imaging
    • Kim, D.1    Kim, H.2    Kang, H.S.3
  • 10
    • 33745364675 scopus 로고    scopus 로고
    • A novel visualization method for the ribs within chest volume data
    • A. P. Kiraly, S. Qing, and H. Shen. A novel visualization method for the ribs within chest volume data. In SPIE Medical Imaging, 2006.
    • (2006) SPIE Medical Imaging
    • Kiraly, A.P.1    Qing, S.2    Shen, H.3
  • 11
    • 33745119067 scopus 로고    scopus 로고
    • A two level approach for scene recognition
    • L. Lu, K. Toyama, and G. D. Hager. A two level approach for scene recognition. In CVPR, 2005.
    • (2005) CVPR
    • Lu, L.1    Toyama, K.2    Hager, G.D.3
  • 12
    • 79957979241 scopus 로고    scopus 로고
    • Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model
    • J. Ma, L. Lu, Y. Zhan, X. Zhou, M. Salganicoff, and A. Krishnan. Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model. In MICCAI, 2010.
    • (2010) MICCAI
    • Ma, J.1    Lu, L.2    Zhan, Y.3    Zhou, X.4    Salganicoff, M.5    Krishnan, A.6
  • 13
    • 33947591164 scopus 로고    scopus 로고
    • Geometry of human ribs pertinent to orthopedic chest wall reconstruction
    • M. Mohr, E. Abrams, C. Engel, W. B. Long, and M. Bottlang. Geometry of human ribs pertinent to orthopedic chest wall reconstruction. Journal of Biomechan, 40:1310-1317, 2007.
    • (2007) Journal of Biomechan , vol.40 , pp. 1310-1317
    • Mohr, M.1    Abrams, E.2    Engel, C.3    Long, W.B.4    Bottlang, M.5
  • 14
    • 79959613986 scopus 로고    scopus 로고
    • Entangled decision forests and their application for semantic segmentation of CT images
    • A. Montillo, J. Shotton, J. Winn, J. E. Iglesias, D. Metaxas, and A. Criminisi. Entangled decision forests and their application for semantic segmentation of CT images. In IPMI, 2011.
    • (2011) IPMI
    • Montillo, A.1    Shotton, J.2    Winn, J.3    Iglesias, J.E.4    Metaxas, D.5    Criminisi, A.6
  • 16
  • 17
    • 77954852143 scopus 로고    scopus 로고
    • Spiral and multislice computed tomography of the body
    • M. Prokop and M. Galanski. Spiral and Multislice Computed Tomography of the Body. Thieme, 2003.
    • (2003) Thieme
    • Prokop, M.1    Galanski, M.2
  • 18
    • 80055058084 scopus 로고    scopus 로고
    • An automatic method for rib ordering and pairing in 3D medical images
    • S. Ramakrishnan and C. Alvino. An automatic method for rib ordering and pairing in 3D medical images. In ISBI, 2011.
    • (2011) ISBI
    • Ramakrishnan, S.1    Alvino, C.2
  • 19
    • 79957971968 scopus 로고    scopus 로고
    • Automatic three-dimensional rib centerline extraction from CT scans for enhanced visualization and anatomical context
    • S. Ramakrishnan, C. Alvino, L. Grady, and A. Kiraly. Automatic three-dimensional rib centerline extraction from CT scans for enhanced visualization and anatomical context. In SPIE Medical Imaging, 2011.
    • (2011) SPIE Medical Imaging
    • Ramakrishnan, S.1    Alvino, C.2    Grady, L.3    Kiraly, A.4
  • 21
    • 33745379195 scopus 로고    scopus 로고
    • Tracing based segmentation for the labeling of individual rib structures in chest CT volume data
    • H. Shen, L. Liang, M. Shao, and S. Qing. Tracing based segmentation for the labeling of individual rib structures in chest CT volume data. In MICCAI, 2004.
    • (2004) MICCAI
    • Shen, H.1    Liang, L.2    Shao, M.3    Qing, S.4
  • 22
    • 11944261833 scopus 로고    scopus 로고
    • A thoracic cage coordinate system for recording pathologies in lung CT volume data
    • H. Shen and M. Shao. A thoracic cage coordinate system for recording pathologies in lung CT volume data. In IEEE Nucl Sci Conf R, 2003.
    • (2003) IEEE Nucl Sci Conf R
    • Shen, H.1    Shao, M.2
  • 23
    • 33846850484 scopus 로고    scopus 로고
    • Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data
    • J. Staal, B. van Ginneken, and M. A. Viergever. Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data. Med Image Anal, 2007.
    • (2007) Med Image Anal
    • Staal, J.1    Van Ginneken, B.2    Viergever, M.A.3
  • 24
    • 33745897632 scopus 로고    scopus 로고
    • Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering
    • Z. Tu. Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering. In ICCV, 2005.
    • (2005) ICCV
    • Tu, Z.1
  • 25
    • 84866680597 scopus 로고    scopus 로고
    • A relative thoracic cage coordinate system for localizing the thoracic organs in chest CT volume data
    • H. Wang, J. Bai, and Y. Zhang. A relative thoracic cage coordinate system for localizing the thoracic organs in chest CT volume data. In IEEE Eng Med Miol Soc., 2005.
    • (2005) IEEE Eng Med Miol Soc.
    • Wang, H.1    Bai, J.2    Zhang, Y.3
  • 27
  • 28
    • 54949104993 scopus 로고    scopus 로고
    • Four-chamber heart modeling and automatic segmentation for 3D cardiac ct volumes using marginal space learning and steerable features
    • Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu. Four-chamber heart modeling and automatic segmentation for 3D cardiac ct volumes using marginal space learning and steerable features. IEEE Trans. Med. Imag., 27(11):1668-1681, 2008.
    • (2008) IEEE Trans. Med. Imag. , vol.27 , Issue.11 , pp. 1668-1681
    • Zheng, Y.1    Barbu, A.2    Georgescu, B.3    Scheuering, M.4    Comaniciu, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.