Quantitative characterization of metastatic disease in the spine. Part I. Semiautomated segmentation using atlas-based deformable registration and the level set method

Medical Physics

Volumn 34, Issue 8, 2007, Pages 3127-3134

  Hardisty, M ^a   Gordon, L ^a   Agarwal, P ^a   Skrinskas, T ^a   Whyne, C ^a  

^a SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

Atlas based registration; Breast cancer; Image registration; Image segmentation; Level set; Metastasis; Spine; Vertebrae

Indexed keywords

BONE; DEFORMATION; DROP BREAKUP; IMAGE REGISTRATION; IMAGE SEGMENTATION; LEVEL MEASUREMENT; MEDICAL IMAGING; MUSCULOSKELETAL SYSTEM; PATHOLOGY; TUMORS;

ATLAS BASED REGISTRATION; BREAST CANCER; LEVEL SET; METASTASIS; SPINE; VERTEBRAE;

NUMERICAL METHODS;

ADULT; ALGORITHM; ARTICLE; AUTOANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; FEMALE; HUMAN; LUMBAR SPINE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SPINE METASTASIS; THORACIC SPINE; THREE DIMENSIONAL IMAGING; TRABECULAR BONE; VALIDATION STUDY; VERTEBRA;

EID: 34547432725     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2746498     Document Type: Article

References (28)

1. D. A. Wong, V. L. Fornasier, and I. MacNab, " Spinal metastases: the obvious, the occult, and the impostors., " Spine 15, 1-4 (1990).
2. J. K. Ratliff and P. R. Cooper, " Metastatic spine tumors., " South Med. J. 97, 246-253 (2004).
3. T. Hamaoka, J. E. Madewell, D. A. Podoloff, G. N. Hortobagyi, and N. T. Ueno, " Bone imaging in metastatic breast cancer., " J. Clin. Oncol. 22, 2942-2953 (2004).
4. D. L. Pham, C. Xu, and J. L. Prince, " Current methods in medical image segmentation., " Annu. Rev. Biomed. Eng. 2, 315-337 (2000).
5. E. Chow, L. Holden, J. Rubenstein, M. Christakis, K. Sixel, M. Vidmar, J. Finkelstein, C. Hayter, A. Loblaw, R. Wong, E. Szumacher, and C. Danjoux, " Computer tomography (CT) evaluation of breast cancer patients with osteolytic bone metastases undergoing palliative radiotherapy-A feasibility study., " Radiother. Oncol. 70, 291-294 (2004).
6. J.-P. Therion, " Image matching as a diffusion process: an analogy with Maxwell's demons., " Med. Image Anal 2, 243-260 (1998).
7. S. Osher and J. A. Sethian, " Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulation., " J. Comput. Phys. 79, 12-49 (1988).
8. J. Kaminsky, P. Klinge, T. Rodt, M. Bokemeyer, W. Luedemann, and M. Samii, " Specially adapted interactive tools for an improved 3D-segmentation of the spine., " Comput. Med. Imaging Graph. 28, 119-127 (2004).
9. C. L. Hoad and A. L. Martel, " Segmentation of MR images for computer-assisted surgery of the lumbar spine., " Phys. Med. Biol. 47, 3503-3517 (2002).
10. Y. Kang, K. Engelke, and W. A. Kalender, " A new accurate and precise 3-D segmentation method for skeletal structures in volumetric CT data., " IEEE Trans. Med. Imaging 22, 586-598 (2003).
11. A. Mastmeyer, K. Engelke, C. Fuchs, and W. A. Kalender, " A hierarchical 3D segmentation method and the definition of vertebral body coordinate systems for QCT of the lumbar spine., " Med. Image Anal 10, 560-577 (2006).
12. K. A. Ganser, H. Dickhaus, R. Metzner, and C. R. Wirtz, " A deformable digital brain atlas system according to Talairach and Tournoux., " Med. Image Anal 8, 3-22 (2004).
13. B. C. Vemuri, J. Ye, Y. Chen, and C. M. Leonard, " Image registration via level-set motion: Application to atlas-based segmentation., " Med. Image Anal 7, 1-20 (2003).
14. M. Wu, O. Carmichael, P. Lopez-Garcia, C. S. Carter, and H. J. Aizenstein, " Quantitative comparison of AIR, SPM and the fully deformable model for atlas-based segmentation of functional and structural MR images., " Hum. Brain Mapp 27, 747-754 (2006).
15. D. Ragan, G. Starkschall, T. McNutt, M. Kaus, T. Guerrero, and C. W. Stevens, " Semiautomated four-dimensional computed tomography segmentation using deformable models., " Med. Phys. 32, 2254-2261 (2005).
16. R. P. Woods, S. T. Grafton, J. D. Watson, N. L. Sicotte, and J. C. Mazziotta, " Automated image registration: II. Intersubject validation of linear and nonlinear models., " J. Comput. Assist. Tomogr. 22, 153-165 (1998).
17. K. J. Friston, J. Ashburner, C. D. Frith, J.-B. Poline, J. D. Heather, and R. S. J. Frackowiak, " Spatial registration and normalization of images., " Hum. Brain Mapp 2, 165-189 (1995).
18. R. Manniesing, B. K. Velthuis, M. S. van Leeuwen, I. C. van der Schaaf, P. J. van Laar, and W. J. Niessen, " Level set based cerebral vasculature segmentation and diameter quantification in CT angiography., " Med. Image Anal 10, 200-214 (2006).
19. R. Manniesing and W. Niessen, " Local speed functions in level set based vessel segmentation., " MICCAI 7, 475-482 (2004).
20. R. Manniesing, B. Velthuis, M. van Leeuwen, and W. Niessen, " Skeletonization for re-initialization in level set-based vascular tree segmentation., " Proc. SPIE 5370, 506-514 (2004).
21. A. A. Farag, H. Hassan, R. Falk, and S. G. Hushek, " 3D volume segmentation of MRA data sets using level sets., " Acad. Radiol. 11, 419-435 (2004).
22. L. Hermoye, I. Laamari-Azjal, Z. Cao, L. Annet, J. Lerut, B. Dawant, and B. E. van Beers, " Liver segmentation in living liver transplant donors: comparison of semiautomatic and manual methods., " Radiology 234, 171-178 (2005).
23. N. Paragios, " A level-set approach for shape-driven segmentation and tracking of the left ventricle., " IEEE Trans. Med. Imaging 22, 773-776 (2003).
24. Y. Chenoune, E. Delechelle, E. Petit, T. Goissen, J. Garot, and A. Rahmouni, " Segmentation of cardiac cine-MR images and myocardial deformation assessment using level set methods., " Comput. Med. Imaging Graph. 29, 607-616 (2005).
25. I. Dydenko, F. Jamal, O. Bernard, J. D'hooge, I. E. Magnin, and D. Friboulet, " A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography., " Med. Image Anal 10, 162-177 (2006).
26. L. Ibanez, W. Schroeder, L. Ng, and J. Cates, The ITK Software Guide, 2005.
27. R. Whitaker and X. Xue, " Variable-conductance, level-set curvature for image denoising., " Proc. IEEE International Conference on Image; 2001, pp. 142-145.
28. C. M. Whyne, M. Hardisty, F. Wu, T. Skrinskas, M. Clemons, L. Gordon, P. S. Basran, " Quantitative characterization of metastatic disease in the spine. Part II. Histogram based analyses., " Med. Phys. (submitted).