Semi-automated method for brain hematoma and edema quantification using computed tomography

Computerized Medical Imaging and Graphics

Volumn 33, Issue 4, 2009, Pages 304-311

  Bardera, A ^a   Boada, I ^a   Feixas, M ^a   Remollo, S ^b   Blasco, G ^b   Silva, Y ^b   Pedraza, S ^b  

^a UNIVERSITY OF GIRONA   (Spain)

^b Dr Josep Trueta University Hospital   (Spain)

Author keywords

Brain edema; Brain hematoma; Intracerebral hemorrhage; Level set segmentation

Indexed keywords

BRAIN EDEMA; COMPUTED TOMOGRAPHIES; DIFFERENT SIZES; INTRACEREBRAL HEMORRHAGE; LEVEL SET SEGMENTATION; LEVEL-SET APPROACHES; MANUAL SEGMENTATIONS; PROCESSING TIME; REGION-GROWING; SEMI-AUTOMATED;

COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC RADIOGRAPHY; LEVEL MEASUREMENT; TOMOGRAPHY;

TUMORS;

ARTICLE; AUTOMATION; BRAIN EDEMA; BRAIN HEMATOMA; BRAIN SIZE; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

ADOLESCENT; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN EDEMA; CEREBRAL HEMORRHAGE, TRAUMATIC; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

EID: 62949201808     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2009.02.001     Document Type: Article

References (39)

1. Broderick J.P., Phillips S.J., Whisnant J.P., O'Fallon W.M., and Bergstralh E.J. Incidence rates of stroke in the eighties: the end of the decline in stroke?. Stroke 20 May (5) (1989) 577-582
2. Broderick J.P., Brott T., Tomsick T., Miller R., and Huster G. Intracerebral hemorrhage more than twice as common as subarachnoid hemorrhage. J Neurosurg 78 2 (1993) 188-191
3. Mayer S.A., Brun N.C., Begtrup K., Broderick J., Davis S., Diringer M.N., Skolnick B.E., and Steiner T. recombinant activated factor vii intracerebral hemorrhage trial investigators. Recombinant activated factor VII for acute intracerebral hemorrhage. N Engl J Med 352 February 24 (8) (2005) 777-785
4. Mayer S.A., Brun N.C., Begtrup K., Broderick J., Davis S., Diringer M.N., Skolnick B.E., and Steiner T. FAST Trial Investigators. Efficacy and safety of recombinant activated factor VII for acute intracerebral hemorrhage. N Engl J Med 358 May 15 (20) (2008) 2127-2137
5. Mendelow A.D., Gregson B.A., Fernandes H.M., Murray G.D., Teasdale G.M., Hope D.T., Karimi A., Shaw M.D., and Barer D.H. STICH investigators. Early surgery versus initial conservative treatment in patients with spontaneous supratentorial intracerebral haematomas in the International Surgical Trial in Intracerebral Haemorrhage (STICH): a randomised trial. Lancet 365 January 29-February 4 (9457) (2005) 387-397
6. Broderick J.P., Brott T.G., Duldner J.E., Tomsick T., and Huster G. Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality. Stroke 24 July (7) (1993) 987-993
7. Zimmerman R.D., Maldjian J.A., Brun N.C., Horvath B., and Skolnick B.E. Radiologic estimation of hematoma volume in intracerebral hemorrhage trial by CT scan. Am J Neuroradiol 27 March (3) (2006) 666-670
8. Huttner H.B., Steiner T., Hartmann M., Köhrmann M., Juettler E., Mueller S., Wikner J., Meyding-Lamade U., Schramm P., Schwab S., and Schellinger P.D. Comparison of ABC/2 estimation technique to computer-assisted planimetric analysis in warfarin-related intracerebral parenchymal hemorrhage. Stroke 37 February (2) (2006) 404-408
9. Gebel Jr. J.M., Jauch E.C., Brott T.G., Khoury J., Sauerbeck L., Salisbury S., Spilker J., Tomsick T.A., Duldner J., and Broderick J.P. Natural history of perihematomal edema in patients with hyperacute spontaneous intracerebral hemorrhage. Stroke 33 November (11) (2002) 2631-2635
10. Xi G., Hua Y., Bhasin R.R., Ennis S.R., Keep R.F., and Hoff J.T. Mechanisms of edema formation after intracerebral hemorrhage: effects of extravasated red blood cells on blood flow and blood-brain barrier integrity. Stroke 32 December 1 (12) (2001) 2932-2938
11. Gebel Jr. J.M., Jauch E.C., Brott T.G., Khoury J., Sauerbeck L., Salisbury S., Spilker J., Tomsick T.A., Duldner J., and Broderick J.P. Relative edema volume is a predictor of outcome in patients with hyperacute spontaneous intracerebral hemorrhage. Stroke 33 November (11) (2002) 2636-2641
12. Gonzalez R.C., and Woods R.E. Digital image processing (2002), Prentice Hall, Upper Saddle River (NJ), USA
13. Pham DL, Xu C, Prince JL. A survey of current methods in medical image segmentation. Technical report JHU/ECE 99-01, 1998.
14. Freixenet J., Muñoz X., Raba D., Martí J., and Cufí X. Yet another survey on image segmentation: region and boundary information integration. Eur Conf Comput Vis (2002) 408-422
15. Dawant B.M., and Zijdenbos A.P. Image segmentation. In: Sonka M., and Fitzpatrick J.M. (Eds). Handbook of medical imaging. medical image processing and analysis 2 (2000), SPIE Press 71-127
16. Sahoo P.K., Soltani S., Wong A.K., and Chen Y.C. A survey of thresholding techniques. Comput Vision Graph Image Process 41 2 (1988) 233-260
17. Zucker S. Region growing: childhood and adolescence. Comput Graph Image Process 5 (1976) 382-399
18. Pham DL, Prince JL. An adaptative fuzzy segmentation algorithm for three-dimensional magnetic resonance images. In Kuba A, Samal M, Todd-Pokropek A, editors. Information processing in medical imaging (IPMI), pages 140-153, June/July 1999.
19. Amartur S., Piraino D., and Takefuji Y. Optimization neural networks for the segmentation of magnetic resonance images. IEEE Trans Med Imaging 11 (1992) 215-220 June
20. Geman S., Manbeck K., and McClure D. In: Chellappa R., and Jain A. (Eds). A crompehensive statistical model for single-photon emission tomographyimage segmentation Markov Random Fields (1993), Academic Press 93-130
21. Zhang Y., Brady M., and Smith S. Segmentation of brain MR images through a hidden Markov Random Field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 20 1 (2001) 45-57
22. Thirion J. Image matching as a diffusion process: an analogy with maxwells demons. Medical Image Analysis 2 3 (1998) 243-260
23. Caselles V., Catte F., Coll T., and Dibos F. A geometric model for active contours in image processing. Numerische Mathematik 66 (1993) 1-31
24. Sethian J. Level set methods and fast marching methods (1999), Cambridge University Press, UK
25. Suri J.S., Singh S., and Laxminarayan S. Medical image segmentation using level sets. In: Suri J.S., and Laxminarayan S. (Eds). PDE and level sets: algorithmic approaches to static and motion imagery (2002), Kluwer Academic/Plenum Publishers 301-340
26. Malladi R., and Sethian J. A unified approach to noise removal, image-enhancement, and shape recovery. IEEE Trans Image Process 5 11 (1996) 1554-1568
27. Yezzi A., Kichenassamy S., Kumar A., Olver P., and Tannenbaum A. A geometric snake model for segmentation of medical imagery. IEEE Trans Med Imaging 16 (1997) 199-209
28. Jonasson L., Hagmann P., Pollo C., Bresson X., Richero Wilson C., Meuli R., and Thiran J.P. A level set method for segmentation of the thalamus and its nuclei in DT-MRI. Signal Process 87 2 (2007) 309-321
29. Ho S., Bullitt E., and Gerig G. Level set evolution with region competition: Automatic 3D segmentation of brain tumors. Proceedings of the 16th international conference on pattern recognition (2002) 532-535
30. Corso J.J., Sharon E., and Yuille A. Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation. International conference on medical image computing and computed assisted intervention (MICCAI 2006), Proceedings, vol. 2. Copenhagen, Denmark (2006) 790-798
31. Cooper D., Jauch E., and Flaherty M. Critical pathways for the management of stroke and intracerebral hemorrhage: a survey of US hospitals. Crit Pathw Cardio 6 1 (2007) 18-23
32. Cosic D., and Loncaric D. Computer system for quantitative analysis of ICH from CT head images. Procedings of the 19th annual international conference of the IEEE EMBS. Chicago, USA (1997)
33. Loncaric S., Kovacevic D., and Cosic D. Fuzzy expert system for edema segmentation. Proceedings of the IEEE 9th Mediterranean electrotechnical conference. Tel-Aviv, Israel (1998) 1476-1479
34. Loncaric S., Dhawan A.P., Kovacevic D., Cosic D., Broderick J., and Brott T. Quantitative intracerebral brain hemorrhage analysis. Proceedings of SPIE Medical Imaging, vol. 3661. San Diego, USA (1999) 886-894
35. ITK Insight Toolkit, http://www.itk.org.
36. VTK Visualization Toolkit, http://www.vtk.org.
37. Minitab Inc., http://www.minitab.com.
38. Fletcher-Heath L.M., Hall L.O., Goldgof D.B., and Murtagh F.R. Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. Artif Intell Med 21 January-March (1-3) (2001) 43-63
39. Chong V.F.H., Zhou J.Y., Khoo J.B.K., Huang J., and Lim T.K. Nasopharyngeal carcinoma tumor volume measurement. Radiology 231 3 (2004) 914-921