Software for interactive segmentation of the carotid artery from 3D black blood magnetic resonance images

Computer Methods and Programs in Biomedicine

Volumn 75, Issue 1, 2004, Pages 31-43

  Jin, Yuan ^a   Ladak, Hanif M ^a,b  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

Deformable models; Initialization; Medical imaging; Segmentation

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; COMPUTER SOFTWARE; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS;

CAROTID ARTERIES; CAROTID BIFURCATION;

BIOMEDICAL ENGINEERING;

ACCURACY; ALGORITHM; ARTICLE; CALCULATION; CAROTID ARTERY BIFURCATION; EVALUATION; IMAGE ANALYSIS; MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; THREE DIMENSIONAL IMAGING;

ALGORITHMS; CAROTID ARTERIES; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MAGNETIC RESONANCE IMAGING; MEDICAL INFORMATICS; SOFTWARE;

EID: 2442496964     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2003.10.003     Document Type: Article

References (18)

1. McInerney T., Terzopoulos D. Deformable models in medical image analysis: a survey. Med Image Anal. 1:1996;91-108
2. Xu C., Prince J.L. Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process. 7:1998;359-369
3. Cohen L.D., Cohen I. Finite-element methods for active contour models and balloons for 2D and 3D images. IEEE Trans. Pattern Anal. Mach. Intell. 15:1993;1131-1147
4. Gill J.D., Ladak H.M., Steinman D.A., Fenster A. Accuracy and variability assessment of a semiautomatic technique for segmentation of the carotid arteries from three-dimensional ultrasound images. Med. Phys. 27:2000;1333-1342
5. Jain A.K., Zhong Y., Dubuisson-Jolly M.P. Deformable template models: a review. Signal Process. 71:1998;109-129
6. Neuenschwander W., Fua P., Székely G., Kübler O. Velcro surfaces: fast initialization of deformable models. Comput. Vision Image Understanding. 65:1997;237-245
7. Ladak H.M., Mao F., Wang Y., Downey D.B., Steinman D.A., Fenster A. Prostate boundary segmentation from 2D ultrasound images. Med. Phys. 27:2000;1777-1788
8. Ladak H.M., Milner J.S., Steinman D.A. Rapid 3D segmentation of the carotid bifurcation from serial MR images. ASME J. Biomech. Eng. 122:2000;96-99
9. S.G. Krantz, H.R. Parks, The Implicit Function Theorem: History, Theory, and Applications, Birkhäuser, Boston, 2002.
10. Lorensen W.E., Cline H.E. Marching cubes: a high-resolution 3D surface construction algorithm. ACM Comput. Graph. 21:1987;163-170
11. Lobregt S., Viergever M.A. A discrete dynamic contour model. IEEE Trans. Med. Imaging. 14:1995;12-24
12. Bookstein F.L. Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11:1989;567-585
13. M. Lutz, Programming Python, second ed., O'Reilly, 2001.
14. W. Schroeder, K. Martin, B. Lorensen, The Visualization ToolKit: An Object-Oriented Approach to 3D Graphics, second ed., Kitware, Inc. Publishers, 1998.
15. Milner J.S., Moore J.A., Rutt B.K., Steinman D.A. Hemodynamics of human carotid artery bifurcations: computational studies in models reconstructed from magnetic resonance imaging of normal subjects. J. Vasc. Surg. 28:1998;143-156
16. Fenster A., Downey D.B. 3D ultrasound imaging: a review. IEEE Eng. Med. Biol. 15:1996;41-51
17. B. Geiger, Three-dimensional modeling of human organs and its application to diagnosis and surgical planning, Technical Report No. 2105, Institut National de Rechereche en Informatique et Automatique, France, 1993.
18. Papademetris X., Sinusas A.J., Dione D.P., Constable R.T., Duncan J.S. Estimation of 3D left ventricular deformation from medical images using biomechanical models. IEEE Trans. Med. Imaging. 21:2002;786-800