A bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographs

IEEE Transactions on Medical Imaging

Volumn 31, Issue 3, 2012, Pages 663-676

  Petersen, Kersten ^a   Ganz, Melanie ^a   Mysling, Peter ^a   Nielsen, Mads ^a,b   Lillemark, Lene ^a   Crimi, Alessandro ^a   Brandt, Sami S ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b NORDIC BIOSCIENCE A S   (Denmark)

Author keywords

Aorta; automated; Bayesian; calcifications; cardiovascular disease (CVD); radiographs; risk scoring; segmentation; sequential Monte Carlo (SMC) sampler on shapes; spine; vertebrae

Indexed keywords

AORTA; AUTOMATED; BAYESIAN; CARDIOVASCULAR DISEASE; RADIOGRAPHS; RISK SCORING; SEQUENTIAL MONTE CARLO; SPINE; VERTEBRAE;

AUTOMATION; BAYESIAN NETWORKS; BIOMINERALIZATION; BLOOD VESSELS; BONE; CALCIFICATION (BIOCHEMISTRY); DATA PROCESSING; DISEASES; IMAGE SEGMENTATION; INFERENCE ENGINES; STANDARDS;

RADIOGRAPHY;

ABDOMINAL AORTA; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; CALCINOSIS; CARDIOVASCULAR DISEASE; COMPUTER ASSISTED DIAGNOSIS; HUMAN; LUMBAR VERTEBRA; METHODOLOGY; MONTE CARLO METHOD; PATHOLOGY; PREDICTIVE VALUE; RADIOGRAPHY; REPRODUCIBILITY; RISK FACTOR;

AORTA, ABDOMINAL; BAYES THEOREM; CALCINOSIS; CARDIOVASCULAR DISEASES; HUMANS; LUMBAR VERTEBRAE; MODELS, BIOLOGICAL; MONTE CARLO METHOD; PREDICTIVE VALUE OF TESTS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RISK FACTORS;

EID: 84857991479     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2174646     Document Type: Article

References (34)

1. S. Allender, P. Scarborough, V. Peto, and M. Rayner, European Cardiovascular Disease Statistics 2008.
2. Y. Z. Bagger, L. B. Tankó, P. Alexanderson, H. B. Hansen, G. Qin, and C. Christiansen, "The long-term predictive value of bone mineral density measurements for fracture risk is independent of the site of measurement and the age at diagnosis: Results from the prospective epidemiological risk factors study, " in Osteoporosis International. New York: Springer, 2006, vol. 17, pp. 471-477.
3. G. J. F., I. Z. Botev, and K. D. P., "Kernel density estimation via diffusion, " Ann. Statist., vol. 38, no. 5, pp. 2916-2957, Oct. 2010.
4. L. Breiman, "Random forests, " Mach. Learn., vol. 45, no. 1, pp. 5-32, 2001. (Pubitemid 32933532)
5. M. D. Bruijne, P. Golland and D. Rueckert, Eds., "Shape particle guided tissue classification, " in Proc. Math. Methods Biomed. Image Anal. (MMBIA 2006), 2006, p. 64.
6. W. L. Buntine, "Operations for learning with graphical models, " J. Artif. Intell. Res., vol. 2, pp. 159-225, 1994.
7. J. Cohen, "A coefficient of agreement for nominal scales, " Educ. Psychol. Meas., vol. 20, no. 1, pp. 37-46, Apr. 1960.
8. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, "Training models of shape from sets of examples, " in Proc. British Mach. Vis. Conf. (BMVC 1992), 1992, pp. 9-18.
9. M. de Bruijne and M. Nielsen, "Image segmentation by shape particle filtering, " in Proc. Int. Conf. Pattern Recongit. (ICPR 2004), Washington, DC, 2004, vol. 3, pp. 722-725.
10. M. de Bruijne and M. Nielsen, "Shape particle filtering for image segmentation, " in Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI 2004), C. Barillot, D. R. Haynor, and P. Hellier, Eds. New York: Springer, 2004, vol. 3216, pp. 168-175. (Pubitemid 40787380)
11. P. Del Moral, A. Doucet, and A. Jasra, "Sequential Monte Carlo samplers, " J. R. Stat. Soc. Series B (Stat. Methodol. ), vol. 68, no. 3, pp. 411-436, Jun. 2006. (Pubitemid 43742903)
12. A. Doucet, N. de Freitas, and N. Gordon, Sequential Monte Carlo Methods in Practice. New York: Springer-Verlag, 2001.
13. L. Fischer, R. Donner, F. Kainberger, and G. Langs, "Automatic region template generation for shape particle filtering based image segmentation, " in Proc. Probabilistic Models Med. Image Anal. (PMMIA 2009), 2009, pp. 289-300.
14. L. Florack, B. Ter Haar Romeny, M. Viergever, and J. Koenderink, "The Gaussian scale-space paradigm and the multiscale local jet, " Int. J. Comput. Vis., vol. 18, no. 1, pp. 61-75, Apr. 1996. (Pubitemid 126713869)
15. M. Ganz, M. Nielsen, and S. S. Brandt, "Patch-based generative shape model and mdl model selection for statistical analysis of archipelagos, " in Proc. Mach. Learn. Med. Imag. (MLMI), 2010, pp. 34-41.
16. H. K. Genant, C. Y. Wu, C. van Kuijk, and M. C. Nevitt, "Vertebral fracture assessment using a semiquantitative technique, " J. Bone Mineral Res., vol. 8, no. 9, pp. 1137-1148, 1993. (Pubitemid 23261108)
17. A. J. Gray, J. W. Kay, and D. M. Titterington, "An empirical study of the simulation of variousmodels used for images, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 16, no. 5, pp. 507-513, May 1994.
18. M. Hansson, S. Brandt, and P. Gudmundsson, "Bayesian probability maps for evaluation of cardiac ultrasound data, " in Probabilistic Models Medical Image Anal. (PMMIA 2009), 2009, pp. 45-56.
19. J. E. Iglesias and M. de Bruijne, "Semiautomatic segmentation of vertebrae in lateral X-rays using a conditional shapemodel, " Acad. Radiol., vol. 14, no. 10, pp. 1156-1165, Oct. 2007. (Pubitemid 47418685)
20. P. Jaccard, "Étude comparative de la distribution florale dans une portion des Alpes et des Jura, " Bulletin del la Société Vaudoise des Sciences Naturelles, vol. 37, pp. 547-579, 1901.
21. L. I. Kauppila, J. F. Polak, L. A. Cupples, M. T. Hannan, D. P. Kiel, and P. W. Wilson, "New indices to classify location, severity and progression of calcified lesions in the abdominal aorta: A 25-year follow-up study, " Astherosclerosis, vol. 132, pp. 245-250, 1997. (Pubitemid 27311017)
22. R.-E. W. Kavey, S. R. Daniels, R. M. Lauer, D. L. Atkins, L. L. Hayman, and K. Taubert, "American heart association guidelines for primary prevention of atherosclerotic cardiovascular disease beginning in childhood, " Circulation, vol. 107, no. 11, pp. 1562-1566, Mar. 2003. (Pubitemid 36378499)
23. N. I. Parikh, S.-J. Hwang, M. G. Larson, L. A. Cupples, C. S. Fox, E. S. Manders, J. M. Murabito, J. M. Massaro, U. Hoffmann, and C. J. O'Donnell, "Parental occurrence of premature cardiovascular disease predicts increased coronary artery and abdominal aortic calcification in the framingham offspring and third generation cohorts, " Circulation, vol. 116, no. 13, pp. 1473-1481, Sep. 2007. (Pubitemid 47480638)
24. K. Petersen, M. Nielsen, and S. S. Brandt, "Conditional point distributionmodels, " presented at theMed. Comput. Vis. 2010, Beijing, China, Sep. 2010.
25. K. Petersen, M. Nielsen, and S. S. Brandt, "A static SMC sampler on shapes for the automated segmentation of aortic calcifications, " presented at the Eur. Conf. Comput. Vis. (ECCV 2010), London, U. K., 2010.
26. P. D. Reaven and J. Sacks, "Coronary artery and abdominal aortic calcification are associated with cardiovascular disease in type 2 diabetes, " in Diabetologia. New York: Springer-Verlag, 2005, vol. 48, pp. 379-385. (Pubitemid 40543312)
27. C. P. Robert, The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation, 2nd ed. New York: Springer Verlag, 2007.
28. M. G. Roberts, T. F. Cootes, and J. E. Adams, "Automatic segmentation of lumbar vertebrae on digitised radiographs using linked active appearance models, " in Proc. Med. Image Understand. Anal. (MIUA 2006), 2006, vol. 6, pp. 120-124.
29. M. G. Roberts, T. F. Cootes, and J. E. Adams, "Vertebral morphometry: Semiautomatic determination of detailed shape from dual-energy X-ray absorptiometry images using active appearance models, " Investigative Radiol., vol. 41, no. 12, pp. 849-859, Oct. 2006. (Pubitemid 44747112)
30. M. G. Roberts, T. F. Cootes, E. Pacheco, T. Oh, and J. E. Adams, "Segmentation of lumbar vertebrae using part-based graphs and active appearance models, " in Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI 2009). New York: Springer, 2009, vol. 5762, pp. 1017-1024.
31. V. L. Roger, A. S. Go, D. M. Lloyd-Jones, R. J. Adams, J. D. Berry, T. M. Brown, M. R. Carnethon, S. Dai, G. de Simone, E. S. Ford, C. S. Fox, H. J. Fullerton, C. Gillespie, K. J. Greenlund, S. M. Hailpern, J. A. Heit, P. M. Ho, V. J. Howard, B. M. Kissela, S. J. Kittner, D. T. Lackland, J. H. Lichtman, L. D. Lisabeth, D. M. Makuc, G. M. Marcus, A. Marelli, D. B. Matchar, M. M. McDermott, J. B. Meigs, C. S. Moy, D. Mozaffarian, M. E. Mussolino, G. Nichol, N. P. Paynter, W. D. Rosamond, P. D. Sorlie, R. S. Stafford, T. N. Turan, M. B. Turner, N. D. Wong, and J. Wylie-Rosett, On behalf of the American Heart Association Statistics Committee, S. S. Subcommittee, Circulation Heart disease and stroke statistics-2011 update: A report from the American Heart Association, 2010.
32. D. E. Warburton, C. W. Nicol, S. N. Gatto, and S. S. Bredin, "Cardiovascular disease and osteoporosis: Balancing risk management, " in Vascular Helath and Risk Management. Macclesfield, U. K. : Dove Press, Oct. 2007, vol. 3, pp. 673-689. (Pubitemid 350104123)
33. P. W. F. Wilson, L. I. Kauppila, C. J. O'Donnell, D. P. Kiel, M. Hannan, J. M. Polak, and A. Cupples, "Abdominal aortic calcific deposits are an important predictor of vascular morbidity and mortality, " Circulation, vol. 103, pp. 1529-1534, 2001. (Pubitemid 32226260)
34. J. C. M. Witteman, F. J. Kok, J. L. C. M. van Saase, and H. A. Valkenburg, "Aortic calcification as a predictor of cardiovascular mortality, " Lancet, vol. 328, no. 8516, pp. 1120-1122, 1986. (Pubitemid 17174472)