Automatic cropping for LV segmentation in cardiac MRI

International Journal of Tomography and Statistics

Volumn 13, Issue W10, 2010, Pages 60-71

  Silva, Isabela ^a   Almeida, Ana G ^b   Sanches, Jõao ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b INSTITUTO DE MEDICINA MOLECULAR   (Portugal)

Author keywords

Automatic crop; Hough transform; Left ventricle

Indexed keywords

EID: 77955990172     PISSN: 09729976     EISSN: 09737294     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Amin, S. 2004. Circular hough transform algorithm, Photogrammetry and Computer Vision Devision, Geomatics Department,Faculty of Engineering, University of Tehran,Iran
2. Ballard, D. H. 1981. Generalizing the hough transform to detect arbitrary shapes, Pattern Recognition 13(2): 111-122.
3. Canny, J. 1986. A computational approach to edge detection, Pattern Analysis and Machine Intelligence, IEEE Transactions on PAMI-8(6).
4. Cocosco, C. A., Netsch, T., Sénégas, J., Bystrov, D., Niessen, W. J. and Viergever, M. A. 2004. Automatic cardiac region-of-interest computation in cine 3d structural mri, CARS pp. 1126-1131.
5. Feigenbaum, H. 2005. Feigenbaum's echocardiography, PA: Lippincott, Philadelphia.
6. Holland, A., Goldfarb, J. and Edelman, R. 1998. Diaphragmatic and cardiac motion duringsuspended breathing: preliminary experience and implications for breath-hold mr imaging, Radiology 209: 483-489.
7. Katouzian, A., Prakash, A. and Konofagou, E. 2006. A new automated technique for left- and right-ventricular segmentation in magnetic resonance imaging, Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE pp. 3074-3077.
8. Müller, A., Neitmann, A., Merkle, N., Wohrle, J., Hombach, V. and Kestler, H. 2005. Contour detection of short axis slice mr images for contraction irregularity assessment, Computers in Cardiology pp. 21-24.
9. Nascimento, J. C. and Marques, J. S. 2008. Robust Shape Tracking with Multiple Models in Ultrasound Images, IEEE Transactions on Image Processing 17(3): 392-406.
10. Nascimento, J. and Sanches, J. 2008. Ultrasound imaging lv tracking with adaptive window size and automatic hyper-parameter estimation, Proceedings IEEE ICIP 2008, 2008 IEEE International Conference on Image Processing, San Diego, California, U.S.A.
11. Pednekar, A., Muthupillai, R., Lenge, V., Kakadiaris, I. and Flamm, S. 2006. Automatic identification of the left ventricle in cardiac cine-mr images: Dual-contrast cluster analysis and scout-geometry approaches, Journal of Magnetic Resonance Imaging 23: 641-651.
12. Wu, K. and Lima, J. 2003. Noninvasive imaging of myocardial viability: current techniques and future developments, Circulation Research 93: 1146-1158.