메뉴 건너뛰기




Volumn 6361 LNCS, Issue PART 1, 2010, Pages 218-226

Complete valvular heart apparatus model from 4D cardiac CT

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC CT; CHAMBER MODEL; CINE IMAGES; HEART DISEASE; HEART VALVES; NON-INVASIVE IMAGING; QUANTITATIVE EVALUATION; REALISTIC SIMULATION; SHAPE MODEL; SPATIO-TEMPORAL VARIATION; TRICUSPID VALVE; VALVULAR APPARATUS;

EID: 78349234649     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_27     Document Type: Conference Paper
Times cited : (23)

References (16)
  • 1
    • 60449094498 scopus 로고    scopus 로고
    • Heart disease and stroke statistics-2009 update: A report from the american heart association statistics committee and stroke statistics subcommittee
    • Lloyd-Jones, D., et al.: Heart disease and stroke statistics-2009 update: a report from the american heart association statistics committee and stroke statistics subcommittee. Circulation 119, 21-181 (2009)
    • (2009) Circulation , vol.119 , pp. 21-181
    • Lloyd-Jones, D.1
  • 2
    • 58249113828 scopus 로고    scopus 로고
    • Functional tricuspid regurgitation in patients with pulmonary hypertension
    • Mutlak, D., et al.: Functional tricuspid regurgitation in patients with pulmonary hypertension. In: CHEST, pp. 115-121 (2009)
    • (2009) CHEST , pp. 115-121
    • Mutlak, D.1
  • 3
    • 0036587139 scopus 로고    scopus 로고
    • Dynamic balance of the aortomitral junction
    • Lansac, E., et al.: Dynamic balance of the aortomitral junction. J. Thorac. Cardiovasc. Surg. 123, 911-918 (2002)
    • (2002) J. Thorac. Cardiovasc. Surg. , vol.123 , pp. 911-918
    • Lansac, E.1
  • 4
    • 0345096371 scopus 로고    scopus 로고
    • Aorto-mitral annular dynamics
    • Timek, T., et al.: Aorto-mitral annular dynamics. Ann. Thorac. Surg. 76, 1944-1950 (2003)
    • (2003) Ann. Thorac. Surg. , vol.76 , pp. 1944-1950
    • Timek, T.1
  • 5
    • 48349104751 scopus 로고    scopus 로고
    • Editorial. Philosophical Transactions of the Royal Society A: Mathematical
    • Clapworthy, G., et al.: Editorial. Philosophical Transactions of the Royal Society A: Mathematical. Physical and Engineering Sciences 366(1878), 2975-2978 (2008)
    • (2008) Physical and Engineering Sciences , vol.366 , Issue.1878 , pp. 2975-2978
    • Clapworthy, G.1
  • 6
    • 33745424694 scopus 로고    scopus 로고
    • Segmentation of the left and right cardiac ventricle using a combined bi-temporal statistical model
    • Fritz, D., et al.: Segmentation of the left and right cardiac ventricle using a combined bi-temporal statistical model. In: SPIE Medical Imaging, pp. 605-614 (2006)
    • (2006) SPIE Medical Imaging , pp. 605-614
    • Fritz, D.1
  • 7
    • 54949104993 scopus 로고    scopus 로고
    • Four-chamber heart modeling and automatic segmentation for 3d cardiac ct volumes using marginal space learning and steerable features
    • Zheng, Y., et al.: Four-chamber heart modeling and automatic segmentation for 3d cardiac ct volumes using marginal space learning and steerable features. IEEE TMI 27(11), 1668-1681 (2008)
    • (2008) IEEE TMI , vol.27 , Issue.11 , pp. 1668-1681
    • Zheng, Y.1
  • 8
    • 84860876928 scopus 로고    scopus 로고
    • Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT
    • Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. Springer, Heidelberg
    • Ionasec, R.I., et al.: Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 767-775. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5762 , pp. 767-775
    • Ionasec, R.I.1
  • 9
    • 70350054785 scopus 로고    scopus 로고
    • A study of functional anatomy of aortic-mitral valve coupling using 3D matrix transesophageal echocardiography
    • Veronesi, F., et al.: A study of functional anatomy of aortic-mitral valve coupling using 3D matrix transesophageal echocardiography. Circ. Cardiovasc. Imaging 2(1), 24-31 (2009)
    • (2009) Circ. Cardiovasc. Imaging , vol.2 , Issue.1 , pp. 24-31
    • Veronesi, F.1
  • 10
    • 50649107002 scopus 로고    scopus 로고
    • Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features
    • Zheng, Y., et al.: Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features. In: ICCV (2007)
    • (2007) ICCV
    • Zheng, Y.1
  • 11
    • 77955179368 scopus 로고    scopus 로고
    • Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4d ct
    • Mihalef, V., et al.: Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4d ct. In: ISBI (2010)
    • (2010) ISBI
    • Mihalef, V.1
  • 12
    • 77952263728 scopus 로고    scopus 로고
    • A dynamical shape prior for lv segmentation from rt3d echocardiography
    • Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. Springer, Heidelberg
    • Zhu, Y., et al.: A dynamical shape prior for lv segmentation from rt3d echocardiography. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 206-213. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5761 , pp. 206-213
    • Zhu, Y.1
  • 14
    • 84883848485 scopus 로고    scopus 로고
    • Conditional variability of statistical shape models based on surrogate variables
    • Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. Springer, Heidelberg
    • Blanc, R., et al.: Conditional variability of statistical shape models based on surrogate variables. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 84-91. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5762 , pp. 84-91
    • Blanc, R.1
  • 15
    • 33745897632 scopus 로고    scopus 로고
    • Probabilistic boosting-tree: Learning discriminative methods for classification, recognition, and clustering
    • Tu, Z.: Probabilistic boosting-tree: Learning discriminative methods for classification, recognition, and clustering. In: ICCV, pp. 1589-1596 (2005)
    • (2005) ICCV , pp. 1589-1596
    • Tu, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.