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Volumn 27, Issue 6, 2014, Pages 794-804

Automatic Cardiac Segmentation Using Semantic Information from Random Forests

Author keywords

Automatic segmentation; Graph cut; MRI; Right ventricle; Semantic information

Indexed keywords

DECISION TREES; GRAPHIC METHODS; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; RANDOM FORESTS; SEMANTICS; SUPERPIXELS; TEXTURES;

EID: 84911970438     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-014-9705-0     Document Type: Article
Times cited : (32)

References (49)
  • 1
    • 84911970341 scopus 로고    scopus 로고
    • Rayner M, Leal J, Luengo-Fernandez R, Gray A: European cardiovascular disease statistics, European Heart Network
    • Allender S, Scarborough P, Peto V, Rayner M, Leal J, Luengo-Fernandez R, Gray A: European cardiovascular disease statistics, European Heart Network, 2008
    • (2008) Peto , vol.V
    • Allender, S.1    Scarborough, P.2
  • 3
    • 1642540080 scopus 로고    scopus 로고
    • Accurate quantification of right ventricular mass at MR imaging by using cine true fast imaging with steady state precession: study in dogs
    • PID: 14699182
    • Shors S, Fung C, Francois C, Finn P, Fieno D: Accurate quantification of right ventricular mass at MR imaging by using cine true fast imaging with steady state precession: study in dogs. Radiology 230(2):383–388, 2004
    • (2004) Radiology , vol.230 , Issue.2 , pp. 383-388
    • Shors, S.1    Fung, C.2    Francois, C.3    Finn, P.4    Fieno, D.5
  • 4
    • 79851510761 scopus 로고    scopus 로고
    • A review of segmentation methods in short axis cardiac mr images
    • Petitjean C, Dacher J-N: A review of segmentation methods in short axis cardiac mr images. Med. Imag. Anal. 15(2):169–184, 2011
    • (2011) Med. Imag. Anal. , vol.15 , Issue.2 , pp. 169-184
    • Petitjean, C.1    Dacher, J.-N.2
  • 5
    • 20344393604 scopus 로고    scopus 로고
    • Daniel Rueckert: 3d/4d cardiac segmentation using active appearance models, non-rigid registration, and the insight toolkit, in Proc
    • Lapp RM, Lorenzo-Valdes M, Daniel Rueckert: 3d/4d cardiac segmentation using active appearance models, non-rigid registration, and the insight toolkit, in Proc. MICCAI, 2004, pp. 419–426
    • (2004) MICCAI , pp. 419-426
    • Lapp, R.M.1    Lorenzo-Valdes, M.2
  • 6
    • 77955338877 scopus 로고    scopus 로고
    • A registration based propagation framework for automatic whole heart segmentation of cardiac MRI
    • Zhuang X, Rhode KS, Razavi RS, Hawkes DJ, Ourselin S: A registration based propagation framework for automatic whole heart segmentation of cardiac MRI. IEEE Trans. Med. Imag. 29(9):1612–1625, 2010
    • (2010) IEEE Trans. Med. Imag. , vol.29 , Issue.9 , pp. 1612-1625
    • Zhuang, X.1    Rhode, K.S.2    Razavi, R.S.3    Hawkes, D.J.4    Ourselin, S.5
  • 8
    • 84872529005 scopus 로고    scopus 로고
    • ElBaz MS, Fahmy AS: Active shape model with inter-profile modeling paradigm for cardiac right ventricle segmentation, in MICCAI, 2012, pp. 691–698
    • ElBaz MS, Fahmy AS: Active shape model with inter-profile modeling paradigm for cardiac right ventricle segmentation, in MICCAI, 2012, pp. 691–698
  • 10
    • 84893972562 scopus 로고    scopus 로고
    • Multi atlas fusion: Automatic right ventricle segmentation using multi-label fusion in cardiac mri, in Proc
    • Zuluaga MA, Cardoso MJ, Ourselin S: Multi atlas fusion: Automatic right ventricle segmentation using multi-label fusion in cardiac mri, in Proc. MICCAI RV Segmentation Challenge, 2012
    • (2012) MICCAI RV Segmentation Challenge
    • Zuluaga, M.A.1    Cardoso, M.J.2    Ourselin, S.3
  • 14
    • 0036891611 scopus 로고    scopus 로고
    • A variational approach for the segmentation of the left ventricle in cardiac image analysis
    • Paragios N: A variational approach for the segmentation of the left ventricle in cardiac image analysis. Intl. J. Comp. Vis. 50(3):345–362, 2002
    • (2002) Intl. J. Comp. Vis. , vol.50 , Issue.3 , pp. 345-362
    • Paragios, N.1
  • 15
    • 33746192504 scopus 로고    scopus 로고
    • Left ventricle myocardium segmentation using a coupled level set with a-priori knowledge
    • COI: 1:STN:280:DC%2BD28vlt1CmtA%3D%3D
    • Lynch M, Ghita O, Whelan P: Left ventricle myocardium segmentation using a coupled level set with a-priori knowledge. Comput. Med. Imag. Graph. 30(4):255–262, 2006
    • (2006) Comput. Med. Imag. Graph. , vol.30 , Issue.4 , pp. 255-262
    • Lynch, M.1    Ghita, O.2    Whelan, P.3
  • 17
    • 80053491301 scopus 로고    scopus 로고
    • Mahapatra D, Sun Y: Orientation histograms as shape priors for left ventricle segmentation using graph cuts, in In Proc: MICCAI, 2011, pp. 420–427
    • Mahapatra D, Sun Y: Orientation histograms as shape priors for left ventricle segmentation using graph cuts, in In Proc: MICCAI, 2011, pp. 420–427
  • 18
    • 84880150336 scopus 로고    scopus 로고
    • Cardiac image segmentation from cine cardiac mri using graph cuts and shape priors
    • PID: 23319109
    • Mahapatra D: Cardiac image segmentation from cine cardiac mri using graph cuts and shape priors. J. Digit. Imaging 26(4):721–730, 2013
    • (2013) J. Digit. Imaging , vol.26 , Issue.4 , pp. 721-730
    • Mahapatra, D.1
  • 19
    • 78349259300 scopus 로고    scopus 로고
    • Joint registration and segmentation of dynamic cardiac perfusion images using mrfs., in Proc
    • Mahapatra D, Sun Y: Joint registration and segmentation of dynamic cardiac perfusion images using mrfs., in Proc. MICCAI, 2010, pp. 493–501
    • (2010) MICCAI , pp. 493-501
    • Mahapatra, D.1    Sun, Y.2
  • 20
    • 84255162802 scopus 로고    scopus 로고
    • Integrating segmentation information for improved elastic registration of perfusion images using an mrf framework
    • Mahapatra D, Sun Y: Integrating segmentation information for improved elastic registration of perfusion images using an mrf framework. IEEE Trans. Imag. Proc. 21(1):170–183, 2012
    • (2012) IEEE Trans. Imag. Proc. , vol.21 , Issue.1 , pp. 170-183
    • Mahapatra, D.1    Sun, Y.2
  • 21
    • 84870035888 scopus 로고    scopus 로고
    • Cardiac LV and RV segmentation using mutual context information, in Proc
    • Mahapatra D: Cardiac LV and RV segmentation using mutual context information, in Proc. MICCAI-MLMI, 2012, pp. 201–208
    • (2012) MICCAI-MLMI , pp. 201-208
    • Mahapatra, D.1
  • 24
    • 4444300723 scopus 로고    scopus 로고
    • Statistical shape model of atria, ventricles and epicardium from short- and long-axis mr images
    • COI: 1:STN:280:DC%2BD2cvotlOjuw%3D%3D, PID: 15450230
    • Lotjonen J, Kivisto S, Koikkalainen J, Smutek D, Lauerma K: Statistical shape model of atria, ventricles and epicardium from short- and long-axis mr images. Med Image Anal. 8(3):371–386, 2004
    • (2004) Med Image Anal. , vol.8 , Issue.3 , pp. 371-386
    • Lotjonen, J.1    Kivisto, S.2    Koikkalainen, J.3    Smutek, D.4    Lauerma, K.5
  • 25
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L: Random forests. Machine Learning 45(1):5–32, 2001
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 27
    • 84911965187 scopus 로고    scopus 로고
    • Mahapatra D, Buhmann JM: Analyzing training information from random forests for improved image segmentation., In press IEEE Trans. Imag. Proc
    • Mahapatra D, Buhmann JM: Analyzing training information from random forests for improved image segmentation., In press IEEE Trans. Imag. Proc
  • 28
    • 84881649806 scopus 로고    scopus 로고
    • Crohn’s disease tissue segmentation from abdominal mri using semantic information and graph cuts, in Proc
    • Mahapatra D, Schüffler P, Tielbeek J, Vos FM, Buhmann JM: Crohn’s disease tissue segmentation from abdominal mri using semantic information and graph cuts, in Proc. IEEE ISBI, 2013, pp. 358–361
    • (2013) IEEE ISBI , pp. 358-361
    • Mahapatra, D.1    Schüffler, P.2    Tielbeek, J.3    Vos, F.M.4    Buhmann, J.M.5
  • 33
    • 84885904347 scopus 로고    scopus 로고
    • Semi- supervised and active learning for automatic segmentation of crohn’s disease, in Proc. MICCAI
    • Mahapatra D, Schüffler P, Tielbeek J, Vos FM, Buhmann JM: Semi- supervised and active learning for automatic segmentation of crohn’s disease, in Proc. MICCAI, Part 2, 2013, pp. 214–221
    • (2013) Part , vol.2 , pp. 214-221
    • Mahapatra, D.1    Schüffler, P.2    Tielbeek, J.3    Vos, F.M.4    Buhmann, J.M.5
  • 34
    • 0015711168 scopus 로고
    • Inability of humans to discriminate between visual textures that agree in second-order statistics-revisited
    • COI: 1:STN:280:DyaE2M%2FmsFSmug%3D%3D, PID: 4803948
    • Julesz B, Gilbert EN, Shepp LA, Frisch HL: Inability of humans to discriminate between visual textures that agree in second-order statistics-revisited. Perception 2(4):391–405, 1973
    • (1973) Perception , vol.2 , Issue.4 , pp. 391-405
    • Julesz, B.1    Gilbert, E.N.2    Shepp, L.A.3    Frisch, H.L.4
  • 35
    • 84870778908 scopus 로고    scopus 로고
    • Alexander Wiebel, Lavini C, Buhmann J, Hege H, Stoker J, van Vliet L: Computational modeling for assessment of IBD: to be or not to be?, in Proc
    • Vos FM, Tielbeek FM, Naziroglu R, Li Z, Schüffler P, Mahapatra D, Alexander Wiebel, Lavini C, Buhmann J, Hege H, Stoker J, van Vliet L: Computational modeling for assessment of IBD: to be or not to be?, in Proc. IEEE EMBC, 2012, pp. 3974–3977
    • (2012) IEEE EMBC , pp. 3974-3977
    • Vos, F.M.1    Tielbeek, F.M.2    Naziroglu, R.3    Li, Z.4    Schüffler, P.5    Mahapatra, D.6
  • 37
    • 51049084003 scopus 로고    scopus 로고
    • Registration of dynamic renal mr images using neurobiological model of saliency, in Proc
    • Mahapatra D, Sun Y: Registration of dynamic renal mr images using neurobiological model of saliency, in Proc. ISBI, 2008, pp. 1119–1122
    • (2008) ISBI , pp. 1119-1122
    • Mahapatra, D.1    Sun, Y.2
  • 38
    • 83455195913 scopus 로고    scopus 로고
    • Nonrigid registration of dynamic renal MR images using a saliency based MRF model, in Proc
    • Mahapatra D, Sun Y: Nonrigid registration of dynamic renal MR images using a saliency based MRF model, in Proc. MICCAI, 2008, pp. 771–779
    • (2008) MICCAI , pp. 771-779
    • Mahapatra, D.1    Sun, Y.2
  • 39
    • 33749162024 scopus 로고    scopus 로고
    • Three-dimensional nonlinear invisible boundary detection
    • Petrou M, Kovalev VA, Reichenbach JR: Three-dimensional nonlinear invisible boundary detection. IEEE Trans. Imag. Proc 15(10):3020–3032, 2006
    • (2006) IEEE Trans. Imag. Proc , vol.15 , Issue.10 , pp. 3020-3032
    • Petrou, M.1    Kovalev, V.A.2    Reichenbach, J.R.3
  • 40
    • 0020045244 scopus 로고
    • Spatial-frequency selectivity of cells in macaque visual cortex
    • PID: 7112954
    • De Valois RL, Albrecht DG, Thorell LG: Spatial-frequency selectivity of cells in macaque visual cortex. Vis. Res. 22(5):545–559, 1982
    • (1982) Vis. Res. , vol.22 , Issue.5 , pp. 545-559
    • De Valois, R.L.1    Albrecht, D.G.2    Thorell, L.G.3
  • 41
    • 77956051102 scopus 로고    scopus 로고
    • Auto-context and its application to high-level vision tasks and 3d brain image segmentation
    • Tu Z, Bai X: Auto-context and its application to high-level vision tasks and 3d brain image segmentation. IEEE Trans. Patt. Anal. Mach. Intell. 32(10):1744–1757, 2010
    • (2010) IEEE Trans. Patt. Anal. Mach. Intell. , vol.32 , Issue.10 , pp. 1744-1757
    • Tu, Z.1    Bai, X.2
  • 43
    • 84896849264 scopus 로고    scopus 로고
    • Prostate mri segmentation using learned semantic knowledge and graph cuts
    • Mahapatra D, Buhmann JM: Prostate mri segmentation using learned semantic knowledge and graph cuts. In press IEEE Trans. Biomed. Engg 61(3):756–764, 2014
    • (2014) In press IEEE Trans. Biomed. Engg , vol.61 , Issue.3 , pp. 756-764
    • Mahapatra, D.1    Buhmann, J.M.2
  • 45
    • 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, Barbu A, Beorgescu B, Scheuering M, Comaniciu D: 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    Beorgescu, B.3    Scheuering, M.4    Comaniciu, D.5
  • 46
    • 0031987382 scopus 로고    scopus 로고
    • A nonparametric method for automatic correction of intensity nonuniformity in mri data
    • COI: 1:STN:280:DyaK1c3nvVCksA%3D%3D
    • Sled JG, Zijdenbos AP, Evans AC: A nonparametric method for automatic correction of intensity nonuniformity in mri data. IEEE Trans. Med. Imag. 17(1):87–97, 1998
    • (1998) IEEE Trans. Med. Imag. , vol.17 , Issue.1 , pp. 87-97
    • Sled, J.G.1    Zijdenbos, A.P.2    Evans, A.C.3
  • 47
    • 0344374438 scopus 로고    scopus 로고
    • On standardizing the mr image intensity scale
    • Nyl LG, Udupa JK: On standardizing the mr image intensity scale. Magnetic resonance in medicine 42(6):1072–1081, 1999
    • (1999) Magnetic resonance in medicine , vol.42 , Issue.6 , pp. 1072-1081
    • Nyl, L.G.1    Udupa, J.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.