Identification of different heart tissues from MRI C-SENC images using an unsupervised multi-stage fuzzy clustering technique

Journal of Magnetic Resonance Imaging

Volumn 28, Issue 2, 2008, Pages 519-526

  Ibrahim, El Sayed H ^a,b   Weiss, Robert G ^b,c   Stuber, Matthias ^a,b,c   Spooner, Amy E ^c   Osman, Nael F ^a,b,d  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

C SENC; FCM; Fuzzy clustering; Heart; ISODATA; MRI; Strain; Viability

Indexed keywords

ARTICLE; BLOOD; CLINICAL ARTICLE; CLUSTER ANALYSIS; FUZZY SYSTEM; HEART; HEART FUNCTION; HEART INFARCTION; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION;

COMPUTER SIMULATION; CONTRAST MEDIA; FUZZY LOGIC; GADOLINIUM DTPA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MYOCARDIAL INFARCTION;

EID: 49049118452     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21452     Document Type: Article

References (25)

1. Axel L, Dougherty L. MR imaging of motion with spatial modulation of magnetization. Radiology 1989;171:841-845.
2. Fischer SE, McKinnon GC, Maier SE, Boesiger P. Improved myocardial tagging contrast. Magn Reson Med 1993;30:191-200.
3. Osman NF, Sampath S, Atalar E, Prince JL. Imaging longitudinal cardiac strain on short-axis images using strain-encoding MRI. Magn Reson Med 2001;46:324-334.
4. Aletras A, Ding S, Balaban RS, Wen H. DENSE: displacement encoding with stimulated echoes in cardiac functional MRI. J Magn Reson 1999;137:247-252.
5. Gilson WD, Yang Z, French BA, Epstein FH. Complementary displacement-encoded MRI for contrast-enhanced infarct detection and quantification of myocardial function in mice. Magn Reson Med 2004;51:744-752.
6. Kim RJ, Fieno DS, Parrish TB, et al. Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation 1999;100:1992-2002.
7. Wu KC, Lima JA. Noninvasive imaging of myocardial viability: current techniques and future developments. Circ Res 2003;93:1146-1158.
8. Choi KM, Kim RJ, Gubernikoff G, Vargas JD, Parker M, Judd RM. Transmural extent of acute myocardial infarction predicts long-term improvement in contractile function. Circulation 2001;104:1101-1107.
9. Oshinski JN, Yang Z, Jones JR, Mata JF, French BA. Imaging time after Gd-DTPA injection is critical in using delayed enhancement to determine infarct size accurately with magnetic resonance imaging. Circulation 2001;104:2838-2842.
10. Kim RJ, Wu E, Rafael A, et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med 2000;343:1445-1453.
11. Watzinger N, Saeed M, Wendland MF, Akbari H, Lund G, Higgins CB. Myocardial viability: magnetic resonance assessment of functional reserve and tissue characterization. J Cardiovasc Magn Reson 2001;3:195-208.
12. Ibrahim EH, Stuber M, Kraitchman DL, Weiss RG, Osman NF. Combined functional and viability cardiac MR imaging in a single breathhold. Magn Reson Med 2007;58:843-849.
13. Jacobs MA, Knight RA, Soltanian-Zadeh H, et al. Unsupervised segmentation of multiparameter MRI in experimental cerebral ischemia with comparison to T2, diffusion, and ADC MRI parameters and histopahological validation. J Magn Reson Imaging 2000;11:425-437.
14. Taxt T, Lundervold A, Fuglaas B, Lien H, Abeler V. Multispectral analysis of uterine corpus tumors in magnetic resonance imaging. Magn Reson Med 1992;23:55-76.
15. Itskovich W, Samber DD, Mani V, et al. Quantification of human atherosclerotic plaques using spatially enhanced cluster analysis of multicontrast-weighted magnetic resonance images. Magn Reson Med 2004;52:515-523.
16. Bensaid AM, Hall LO, Bezdek JC, et al. Validity-guided (re)clustering with applications to image segmentation. IEEE Trans Fuzzy Syst 1996;4:112-123.
17. Chiu SL. Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 1994;2:267-278.
18. Pal NR, Pal K, Keller JM, Bezdek JC. A possibilistic fuzzy c-means clustering algorithm. IEEE Trans Fuzzy Syst 2005;13:517-530.
19. Bezdek JC. Pattern recognition with fuzzy objective function algorithms. New York: Plenum Press; 1981.
20. Hathaway RJ, Bezdek JC. Recent convergence results for the fuzzy c-means clustering algorithms. J Classif 1988;5:237-247.
21. Fischer SE, Stuber M, Scheidegger MB, Boesiger P. Limitations of stimulated echo acquisition mode (STEAM) techniques in cardiac applications. Magn Reson Med 1995;34:80-91.
22. Bezdek JC, Hathaway RJ, Sabin MJ, Tucker WT. Convergence theory for fuzzy c-means: counterexamples and repairs. IEEE Trans Syst Man Cybern 1987;17:873-877.
23. Wendland MF, Saeed M, Lauerma K, et al. Alterations in T1 of normal and reperfused infarcted myocardium after Gd-BOPTA versus GD-DTPA on inversion recovery EPI. Magn Reson Med 1997; 37:448-456.
24. Amado LC, Gerber BL, Gupta SN, et al. Accurate and objective infarct sizing by contrast-enhanced magnetic resonance imaging in a canine myocardial infarction model. J Am Coll Cardiol 2004;44:2383-2389.
25. Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. Statistician 1983;32:307-317.