Estimation of cardiac respiratory-motion by semi-automatic segmentation and registration of non-contrast-enhanced 4D-CT cardiac datasets

IEEE Transactions on Nuclear Science

Volumn 56, Issue 6, 2009, Pages 3662-3671

  Dey, Joyoni ^a   Pan, Tinsu ^b   Choi, David J ^c   Robotis, Dennis ^d   Smyczynski, Mark S ^a   Pretorius, P Hendrik ^a   King, Michael A ^a  

^a UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d University of Massachusetts   (United States)

Author keywords

Image segmentation; Imaging applications; Pet CT; Spect CT

Indexed keywords

3D SEGMENTATION; AFFINE REGISTRATION; ANTERIOR-POSTERIOR DIRECTIONS; CONTRAST ENHANCEMENT; CONTRAST-ENHANCED; CT IMAGE; D-ALGORITHM; DATA SETS; HEART VOLUMES; IMAGING APPLICATIONS; MANUAL SEGMENTATION; ORDER OF MAGNITUDE; PET/CT; RESPIRATORY CYCLE; RESPIRATORY MOTIONS; RIGID-BODY MOTION; SCALE FACTOR; SEMI-AUTOMATED SEGMENTATION; SEMI-AUTOMATIC SEGMENTATION; SHEAR PARAMETERS; SPECT/CT; STANDARD DEVIATION;

COMPUTERIZED TOMOGRAPHY; DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION; MEDICAL IMAGING; RESPIRATORY MECHANICS; ROTATION; STANDARDS; STATISTICS;

THREE DIMENSIONAL;

EID: 72349083696     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2009.2031642     Document Type: Conference Paper

References (29)

1. Y. Wang, S. J. Riederer, and R. L. Ehman, "Respiratory motion of the heart: Kinematics and the implications for the spatial resolution in coronary imaging," Magn. Reson. Med., vol. 33, no. 3, pp. 713-719, 1995.
2. D. Manke, P. Rösch, K. Nehrke, P. Börnert, and O. Dössel, "Model evaluation and calibration for prospective respiratory motion correction in coronary MR angiography based on 3-D image registration," IEEE Trans. Med. Imag., vol. 21, no. 9, pp. 1132-1141, Sep. 2002.
3. D. Manke, K. Nehrke, P. Börnert, P. Rösch, and O. Dössel, "Respiratory motion in coronary magnetic resonance angiography: A comparison of different motion models," J. Mag. Res. Imag., vol. 15, no. 6, pp. 661-671, 2002.
4. D. Manke, K. Nehrke, and P. Börnert, "Novel prospective respiratory motion correction approach for free-breathing coronary MR angiography using a patient-specific adaptive affine motion model," Mag. Res. Med., vol. 50, pp. 122-131, 2003.
5. K. McLeish, D. L. G. Hill, D. Atkinson, J. M. Blackall, and R. Razavi, "A Study of the motion and deformation of the heart due to respiration," IEEE Trans. Med. Imag., vol. 21, no. 9, pp. 1142-1150, 2002.
6. G. Shechter, C. Ozturk, J. R. Resar, and E. R. McVeigh, "Respiratory motion of the heart from free breathing coronary angiograms," IEEE Trans. Med. Imag., vol. 23, pp. 1046-1056, 2004.
7. C. Jahnke, K. Nehrke, I. Paetsch, B. Schnackenburg, R. Gebker, E. Fleck, and E. Nagel, "Improved bulk myocardial motion suppression for navigator-gated coronary magnetic resonance imaging," J. Mag. Res. Imag., vol. 26, pp. 780-786, 2007.
8. A. P. King, R. Boubertakh, K. S. Rhode, Y. L. Ma, P. Chinchapatnam, G. Gao, T. Tangcharoen, M. Ginks, M. Cooklin, J. S. Gill, D. J. Hawkes, R. S. Razavi, and T. Schaeffter, "A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures," Med. Imag. Anal., vol. 13, pp. 419-431, 20 09.
9. L. Boucher, S. Rodrigue, R. Lecomte, and F. Benard, "Respiratory gating for 3-dimensional PET of the thorax: Feasibility and initial results," J. Nucl. Med., vol. 45, no., pp. 214-219, 2004.
10. L. Livieratos, K. Rajappan, L. Stegger, K. K. Schafers, D. L. Bailey, and P. G. Camici, "Respiratory gating of cardiac PET data in list-mode acquisition," Eur. J. Nucl. Med. Mol. Imag., vol. 33, no. 5, pp. 584-588, 2006.
11. G. J. Klein, B. W. Reutter, and R. H. Huesman, "Four-dimensional affine registration models for respiratory-gated PET," IEEE Trans. Nucl. Sci., vol. 48, no. 3, pp. 756-760, 2001.
12. J. Dey, T. Pan, M. Smyczynski, P. H. Pretorius, D. Choi, and M. A. King, "Investigation of respiration motion of the heart based on semi- automated segmentation and modeling of cardiac-CT data," in IEEE Nucl. Sci. Symp. Med. Imag. Conf. Rec., Puerto Rico, Oct. 2005.
13. J. Dey, T. Pan, D. J. Choi, M. Smyczynski, P. H. Pretorius, and M. A. King, "Knowledge-based segmentation of the heart from respiratory- gated CT datasets acquired without cardiac contrast-enhancement," in Proc. 2006 SPIE 6144, Med. Imag., San Diego, CA, Feb. 11-16, 2006.
14. H. Park, P. H. Bland, and C. R. Meyer, "Construction of an abdominal probabilistic atlas and its application in segmentation," IEEE Trans. Med. Imag., vol. 22, no. 4, pp. 483-492, Apr. 2003.
15. A. Shimizu, R. Ohno, T. Ikegami, H. Kobatake, S. Nawano, and D. Smutek, "Segmentation of multiple organs in non-contrast 3-D abdominal CT images," Int J. Comput. Assist. Radiol. Surg., vol. 2, pp. 135-142, Dec. 2007.
16. T. S. Pan, T.-Y. Lee, E. Rietzel, and T. Y. Chen, "4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT.," Med. Phys., vol. 31, pp. 333-340, 2004.
17. W. Lu, P. J. Parikh, J. P. Hubenschmidt, J. D. Bradley, and D. A. Low, "A comparison between amplitude sorting and phase-angle sorting using external respiratory measurement for 4D CT," Med. Phys., vol. 2006, no. 33, pp. 2964-2974.
18. V. Caselles, R. Kimmel, G. Sapiro, and C. Sbert, "Minimal surfaces based object segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 4, pp. 394-398, 1997.
19. J. A. Sethian, Level Set Methods and Fast Marching Methods. Cambridge, U.K.: Cambridge Univ. Press, 1999.
20. R. Malladi, J. A. Sethian, andB. C. Vemuri, "Shape modeling withfront propagation: A level set approach," IEEE Trans. Pattern Anal. Mach. Intell., vol. 17, no. 2, pp. 158-175, 1995.
21. C. Xu, A. Yezzi, and J. L. Prince, "A summary of geometric level-set analogues for a general class of parameteric active contour and surface models," in Proc. 1st IEEE Workshop on Variational and Level Set Methods in Comput. Vis., Jul. 2001, pp. 104-111.
22. M. Leventon, E. Grimson, and O. Faugeras, "Statistical shape influence in geodesic active contours," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2000, vol. 1, pp. 316-323.
23. T. F. Chan and L. A. Vese, "Active contours without edges," IEEE Trans. Imag. Process., vol. 10, no. 2, pp. 266-277, 2001.
24. R. Kimmel, Numerical Geometry of Images, Theory, Algorithms and Applications. New York: Springer, 2003.
25. P. Thevenaz, U. E. Ruttimann, and M. Unser, "A pyramid approach to subpixel registration based in intensity," IEEE Trans. Imag. Process., vol. 7, no. 1, Jan. 1998.
26. J. M. Bland and D. G. Altman, "Measuring agreement in method comparisonstudies,"Stat. Meth. Med. Res., vol. 8, no. 2,pp. 135-160,1999.
27. E. A. Hoffman and E. L. Ritman, "Invariant total heart volume in the intact thorax," Am. J. Phys., vol. 249, pp. H883-H890, 1985.
28. G. J. Klein, B. W. Reutter, T. F. Budinger, and R. H. Huesman, "Cardiac gating of transmission data is unnecessary for attenuation compensation of double-gated emission scans," in Proc. 1998 IEEE Med. Imag. Conf., 1999, pp. 2019-2022.
29. J. Friedman, K. Van Train, J. Maddahi, A. Rozanski, F. Prigent, and J. Bietendorf et al., "Upward creep of the heart: A frequent source of false-positive reversible defects during thallium-201 stress-redistribution SPECT," J. Nucl. Med., vol. 30, no. 10, pp. 1718-1722, Oct. 1989.