Renal tumor quantification and classification in contrast-enhanced abdominal CT

Pattern Recognition

Volumn 42, Issue 6, 2009, Pages 1149-1161

  Linguraru, Marius George ^a   Yao, Jianhua ^a   Gautam, Rabindra ^b   Peterson, James ^b   Li, Zhixi ^a   Marston Linehan, W ^b   Summers, Ronald M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Classification; Computer assisted radiology; Contrast enhanced CT; Hereditary papillary renal carcinoma; Kidney cancer; Level sets; Monitoring; Quantification; Segmentation; von Hippel Lindau syndrome

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; ELECTRIC INSTRUMENT TRANSFORMERS; IMAGE SEGMENTATION; LEVEL MEASUREMENT; MONITORING; ONCOLOGY; RADIATION; RADIOLOGY; THREE DIMENSIONAL;

CLASSIFICATION; COMPUTER-ASSISTED RADIOLOGY; CONTRAST-ENHANCED CT; HEREDITARY PAPILLARY RENAL CARCINOMA; KIDNEY CANCER; LEVEL SETS; QUANTIFICATION; SEGMENTATION; VON HIPPEL-LINDAU SYNDROME;

TUMORS;

EID: 59149101628     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.09.018     Document Type: Article

References (47)

1. Linehan W.M., Walther M.M., and Zbar B. The genetic basis of cancer of the kidney. J. Urol. 170 (2003) 2163-2172
2. Grubb III R.L., Choyke P., Pinto P.A., Linehan W.M., and Walther M.M. Management of von Hippel-Lindau associated kidney cancer. Nat. Clin. Pract. Urol. 2 5 (2005) 1-8
3. Pavlovich C.P., Grubb III R.L., Hurley K., Glenn G.M., Toro J., Schmidt L.S., Torres-Cabala C., Merino M.J., Zbar B., Choyke P., Walther M.M., and Linehan W.M. Evaluation and management of renal tumors in the Birt-Hogg-Dube syndrome. J. Urol. 173 (2005) 1482-1486
4. Schmidt L.S., Nickerson M.L., Warren M.B., Glenn G.M., Toro J.R., Merino M.J., Turner M.L., Choyke P.L., Sharma N., Peterson J., Morrison P., Maher E.R., Walther M.M., Zbar B., and Linehan W.M. Germline BHD-mutation spectrum and phenotype analysis of a large cohort of families with Birt-Hogg-Dube syndrome. Am. J. Hum. Genet. 76 (2005) 1023-1033
5. Linehan W.M. Targeting VEGF receptors in kidney cancer. Lancet Oncol. 8 11 (2007) 956-957
6. Linehan W.M., and Zbar B. Focus on kidney cancer. Cancer Cell 6 (2004) 223-228
7. Atkins M.B., Ernstoff M.S., Figlin R.A., Flaherty K.T., George D.J., Kaelin Jr. W.G., Kwon E.D., Libermann T.A., Linehan W.M., McDermott D.F., Ochoa A.C., Pantuck A.J., Rini B.I., Rosen M.A., Sosman J.A., Sukhatme V.P., Vieweg J.W., Wood C.G., and King L. Innovations and challenges in renal cell carcinoma: summary statement from the Second Cambridge Conference. Clin. Cancer Res. 15 13 (2007) 667-670
8. Linehan W.M., Grubb III R.L., Coleman J.A., Zbar B., and Walther M.M. The genetic basis of cancer of kidney cancer: implications for gene-specific clinical management. Br. J. Urol. Int. 95 2 (2005) 2-7
9. Birnbaum B.A., Hindman N., Lee J., and Babb J.S. Renal cyst pseudoenhancement: influence of multidetector CT reconstruction algorithm and scanner type in phantom model. Radiology 244 3 (2007) 767-775
10. Schmidt L.S., Nickerson M.L., Angeloni D., Glenn G.M., Walther M.M., Albert P.S., Warren M.B., Choyke P.L., Torres-Cabala C.A., Merino M.J., Brunet J., Berez V., Borraz J., Sesia G., Middelton L., Phillips J.L., Stolle C., Zbar B., Pautler S.E., and Linehan W.M. Early onset hereditary papillary renal carcinoma: germline missense mutations in the tyrosine kinase domaine of the met proto-oncogene. J. Urol. 172 (2004) 1256-1261
11. Zhang J., Lefkowitz R.A., Ishill N.M., Wang L., Moskowitz C.S., Russo P., Eisenberg H., and Hricak H. Solid renal cortical tumors: differentiation with CT. Radiology 244 2 (2007) 494-504
12. Fritz G.A., Schoellnast H., Deutschmann H.A., Quehenberger F., and Tillich M. Multiphasic multidetector-row CT (MDCT) in detection and staging of transitional cell carcinomas of the upper urinary tract. Eur. Radiol. 16 6 (2006) 1244-1252
13. Voci S.L., Gottlieb R.H., Fultz P.J., Mehta A., Parthasarathy R., Rubens D.J., and Strang J.G. Delayed computed tomographic characterization of renal masses: preliminary experience. Abdom. Imaging 25 3 (2000) 317-321
14. Zagoria R.J., Gasser T., Leyendecker J.R., Bechtold R.E., and Dyer R.B. Differentiation of renal neoplasms from high-density cysts: use of attenuation changes between the corticomedullary and nephrographic phases of computed tomography. J. Comput. Assisted Tomography 31 1 (2007) 37-41
15. Goshima S., Kanematsu M., Nishibori H., Kondo H., Tsuge Y., Yokoyama R., Miyoshi T., Onozuka M., Shiratori Y., Moriyama N., and Bae K.T. Multi-detector row CT of the kidney: optimizing scan delays for bolus tracking techniques of arterial, corticomedullary, and nephrographic phases. Eur. J. Radiol. 63 3 (2007) 420-426
16. Masseroli M., O'Valle F., Andujar M., Ramirez C., Gomez-Morales M., de Dios Luna J., Aguilar M., Aguilar D., Rodriguez-Puyol M., and Del Moral R.G. Design and validation of a new image analysis method for automatic quantification of interstitial fibrosis and glomerular morphometry. Lab. Invest. 78 5 (1998) 511-522
17. Meyer C.R., Johnson T.D., McLennan G., Aberle D.R., Kazerooni E.A., MacMahon H., Mullan B.F., Yankelevitz D.F., van Beek E.J.R., Armato III S.G., McNitt-Gray M.F., Reeves A.P., Gur D., Henschke C.I., Hoffman E.A., Bland P.H., Laderach G., Pais R., Qing D., Oiker C., Guo J., Starkey A., Max D., Croft B.Y., and Clarke L.P. Evaluation of lung MDCT nodule annotation across radiologists and methods. Acad. Radiol. 13 10 (2006) 1254-1265
18. Kim J.J., and Tannock I.F. Repopulation of cancer cells during therapy: an important cause of treatment failure. Nat. Rev. Cancer 5 7 (2005) 516-525
19. Gao L., Heath D.G., and Fishman E.K. Abdominal image segmentation using three-dimensional deformable models. Invest. Radiol. 33 6 (1998) 348-355
20. Joshi S., Pizer S., Fletcher P.T., Yushkevich P., Thall A., and Marron J.S. Multiscale deformable model segmentation and statistical shape analysis using medical descriptions. IEEE Trans. Med. Imaging 21 5 (2002) 538-550
21. Rao M., Stough J., Chi Y.Y., Muller K., Tracton G., Pizer S.M., and Chaney E.L. Comparison of human and automatic segmentations of kidneys from CT images. Int. J. Radiat. Oncol. Biol. Phys. 61 3 (2005) 954-960
22. Park H., Bland P.H., and Meyer C.R. Construction of an abdominal probabilistic atlas and its application in segmentation. IEEE Trans. Med. Imaging 22 4 (2003) 483-492
23. Shimizu A., Ohno R., Ikegami T., and Kobatake H. Multi-organ segmentation in three-dimensional abdominal CT images. Int. J. Comput. Assisted Radiol. Surg. l (2006) 76-78
24. Yao C., Wada T., Shimizu A., Kobatake H., and Nawano S. Simultaneous location detection of multi-organ by atlas-guided eigen-organ method in volumetric medical images. Int. J. Comput. Assisted Radiol. Surg. l (2006) 42-45
25. X. Hu, A. Shimizu, H. Kobatake, S. Nawano, Independent analysis of four-phase abdominal CT images, in: Proceedings of Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in computer Science, vol. 3217, 2004, pp. 916-924.
26. M. Sakashita, T. Kitasaka, K. Mori, Y. Suenaga, S. Nawano, A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm, in: Proceedings of SPIE Medical Imaging, vol. 6509, 2007, pp. 1C-1-12.
27. Y.Y. Boykov, M.P. Jolly, Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, in: Proceedings of International Conference on Computer Vision 2001, vol. I, pp. 105-112.
28. Rusinek H., Boykov Y., Kaur M., Wong S., Bokacheva L., Sajous J.B., Huang A.J., Heller S., and Lee V.S. Performance of an automated segmentation algorithm for 3D MR renography. Magn. Reson. Med. 57 6 (2007) 1159-1167
29. T. Song, V.S. Lee, H. Rusinek, S. Wong, A.F. Laine, Integrated four-dimensional registration and segmentation of dynamic renal MR images, in: Proceedings of Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science, vol. 4191, 2006, pp. 758-765.
30. R.M. Summers, C.M.L. Agcaoili, M.J. McAuliffe, S.S. Dalal, P.J. Yim, P.L. Choyke, M.M. Walther, W.M. Linehan, Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions, in: Proceedings of International Conference in Image Processing, 2001, pp. 293-296.
31. Kim D.Y., and Park J.W. Computer-aided detection of kidney tumor on abdominal computer tomography scans. Acta Radiol. 45 (2004) 791-795
32. Ibanez L., Schroeder W., Ng L., and Cates J. The ITK Software Guide. second ed (2005), Kitware Inc.
33. Perona P., and Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal. Mach. Intell. 12 (1990) 629-639
34. Weickert J. Anisotropic Diffusion in Image Processing (1998), Teubner, Stuttgart
35. Rohlfing T., Maurer Jr. C.R., O'Dell W.G., and Zhong J. Modeling liver motion and deformation during the respiratory cycle using intensity-based nonrigid registration and gated MR images. Med. Phys. 31 3 (2004) 427-432
36. Sun D., Willingham C., Durrani A., King P., Cleary K., and Wood B. A novel end-effector design for robotics in image-guided needle procedures. Int. J. Med. Robotics Comput. Assisted Surg. 2 1 (2006) 91-97
37. Zhang H., Banovac F., Lin R., Glossop N., Wood B.J., Lindisch D., Levy E., and Cleary K. Electromagnetic tracking for abdominal interventions in computer aided surgery. Comput. Aided Surg. 11 3 (2006) 127-136
38. Borgert J., Krüger S., Timinger H., Krücker J., Glossop N., Durrani A., Viswanathan A., and Wood B.J. Respiratory motion compensation with tracked internal and external sensors during CT-guided procedures. Comput. Aided Surg. 11 3 (2006) 119-125
39. Thirion J.P. Image matching as a diffusion process: an analogy with Maxwell's demons. Med. Image Anal. 2 3 (1998) 243-260
40. Mattes D., Haynor D.R., Vesselle H., Lewellen T.K., and Eubank W. PET-CT image registration in the chest using free-form deformations. IEEE Trans. Med. Imaging 22 1 (2003) 120-128
41. Viola P., and Wells III W.M. Alignment by maximization of mutual information. Int. J. Comput. Vision 24 2 (1997) 137-154
42. Studholme C., Hill D.L.G., and Hawkes D.J. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32 1 (1999) 71-86
43. Caselles V., Kimmel R., and Sapiro G. Geodesic active contours. Int. J. Comput. Vision 22 1 (1997) 61-97
44. Paragios N., and Deriche R. Geodesic active regions and level set methods for supervised texture segmentation. Comput. Vision Image Understanding 97 3 (2005) 259-282
45. Sethian J.A. Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision and materials science (1999), Cambridge University Press, Cambridge
46. Linguraru M.G., Marias K., English R., and Brady M. A biologically inspired algorithm for microcalcification cluster detection. Med. Image Anal. 10 6 (2006) 850-862
47. Jackson J.E. A User's Guide to Principal Components (1991), Wiley, New York