Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7945 LNCS, Issue , 2013, Pages 174-181

  Zuluaga, Maria A ^a   Cardoso, M Jorge ^a   Modat, Marc ^a   Ourselin, Sébastien ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN SEGMENTATION; CLINICAL APPLICATION; COMPUTED TOMOGRAPHY ANGIOGRAPHY; CORRELATION COEFFICIENT; MAGNETIC RESONANCE IMAGES (MRI); SEGMENTATION SCHEME; STATE-OF-THE-ART METHODS; WHOLE HEART SEGMENTATIONS;

HEART; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING;

IMAGE SEGMENTATION;

EID: 84879815698     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38899-6_21     Document Type: Conference Paper

References (14)

1. Petitjean, C., Dacher, J.-N.: A review of segmentation methods in short axis cardiac MR images. Med. Image Anal. 15(2), 169-184 (2011)
2. Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., Comaniciu, D.: Four- Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Transactions on Medical Imaging 27(11), 1668-1681 (2008)
3. Peters, J., Ecabert, O., Meyer, C., Kneser, R., Weese, J.: Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation. Medical Image Analysis 14(1), 70-84 (2010)
4. Išgum, I., Staring, M., Rutten, A., Prokop, M., Viergever, M., van Ginneken, B.: Multi-Atlas-Based SegmentationWith LocalDecision Fusion-Application toCardiac and Aortic Segmentation in CT Scans. IEEE Trans. Med. Imag. 28(7), 1000-1010 (2009)
5. Rikxoort, E.M., Ǐgum, I., Arzhaeva, Y., Staring, M., Klein, S., Viergever, M., Pluim, J.P.W., van Ginneken, B.: Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. Medical Image Analysis (2010)
6. Zhuang, X., Rhode, K.S., Razavi, R.S., Hawkes, D.J., Ourselin, S.: A registrationbased propagation framework for automatic whole heart segmentation of cardiac MRI. IEEE Trans. Med. Imag. 29(9), 1612-1625 (2010)
7. Kirişli, H.A., Schaap, M., Klein, S., Papadopoulou, S.L., Bonardi, M., Chen, C.H., Weustink, A.C., Mollet, N.R.A., Vonken, E.P.A., van der Geest, R.J., van Walsum, T., Niessen, W.J.: Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study. Medical Physics 37(12), 6279-6292 (2010)
8. Warfield, S.K., Zou, K.H., Wells, W.M.: Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation. IEEE Trans. Med. Imag. 23(70), 903-921 (2004)
9. Ourselin, S., Roche, S., Subsol, G., Pennec, X., Ayache, N.: Reconstructing a 3D structure from serial histological sections. Image and Vis. Comp. 19(1-2), 25-31 (2001)
10. Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using freeform deformations: Application to breast MR images. IEEE Trans. Med. Imag. 18(8), 712-721 (1999)
11. Modat, M., Ridgway, G.R., Taylor, Z.A., Lehmann, M., Barnes, J., Fox, N.C., Hawkes, D.J., Ourselin, S.: Fast free-form deformation using graphics processing units. Comput. Methods Programs Biomed. 98(3), 278-284 (2010)
12. Cardoso, M.J., Modat, M., Keihaninejad, S., Cash, D., Ourselin, S.: Multi-STEPS: multi-label similarity and truth estimation for propagated segmentations. In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), pp. 153-158 (2012)
13. Uribe, S., Tangchaoren, T., Parish, I., Wolf, R., Razavi, R., Greil, G., Schaeffter, T.: Volumetric cardiac quantification by using 3-D dual phase whole-heart MR imaging. Radiology 248, 606-614 (2008)
14. Leung, K.K., Barnes, J., Ridgway, G.R., Bartlett, J.W., Clarkson, M.J., Macdonald, K., Schu, N., Fox, N.C., Ourselin, S.: ADNI: Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. NeuroImage 51(4), 1345-1359 (2010)