Semi-automatic segmentation of myocardium at risk in T2-weighted cardiovascular magnetic resonance

Journal of Cardiovascular Magnetic Resonance

Volumn 14, Issue 1, 2012, Pages

  Sjögren, Jane ^a,b   Ubachs, Joey FA ^a   Engblom, Henrik ^a   Carlsson, Marcus ^a   Arheden, Håkan ^a   Heiberg, Einar ^a  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

^b LUND UNIVERSITY   (Sweden)

Author keywords

Cardiovascular Magnetic Resonance; Inter Observer Variability; Left Anterior Descend; Left Ventricular Mass; Right Coronary Artery

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; COMPARATIVE STUDY; DIFFERENTIAL DIAGNOSIS; ENDOCARDIUM; FEMALE; FOLLOW UP; HEART INFARCTION; HEART MUSCLE; HEART VENTRICLE; HOSPITALIZATION; HUMAN; LABORATORY AUTOMATION; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; AUTOMATION, LABORATORY; DIAGNOSIS, DIFFERENTIAL; ENDOCARDIUM; FEMALE; FOLLOW-UP STUDIES; HEART VENTRICLES; HUMANS; MAGNETIC RESONANCE IMAGING, CINE; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; MYOCARDIUM; REPRODUCIBILITY OF RESULTS; ROC CURVE; SEVERITY OF ILLNESS INDEX;

EID: 84865143393     PISSN: 10976647     EISSN: 1532429X     Source Type: Journal    
DOI: 10.1186/1532-429X-14-10     Document Type: Article

References (21)

1. Aletras, AH, Tilak, GS, Natanzon, A, Hsu, LY, Gonzalez, FM, Hoyt, RF Jr, Arai, AE, Retrospective determination of the area at risk for reperfused acute myocardial infarction with T2-weighted cardiac magnetic resonance imaging: histopathological and displacement encoding with stimulated echoes (DENSE) functional validations. Circulation 113 (2006), 1865–1870 PubMed PMID: 16606793 10.1161/CIRCULATIONAHA.105.576025.
2. Fishbein, MC, Maclean, D, Maroko, PR, The histopathologic evolution of myocardial infarction. Chest 73 (1978), 843–849 PubMed PMID: 657859 10.1378/chest.73.6.843.
3. Jennings, RB, Schaper, J, Hill, ML, Steenbergen, C Jr, Reimer, KA, Effect of reperfusion late in the phase of reversible ischemic injury. Changes in cell volume, electrolytes, metabolites, and ultrastructure. Circ Res 56 (1985), 262–278 PubMed PMID: 3971504 10.1161/01.RES.56.2.262.
4. Carlsson, M, Ubachs, JF, Hedstrom, E, Heiberg, E, Jovinge, S, Arheden, H, Myocardium at risk after acute infarction in humans on cardiac magnetic resonance: quantitative assessment during follow-up and validation with single-photon emission computed tomography. JACC Cardiovasc Imaging 2 (2009), 569–576 PubMed PMID: 19442942 10.1016/j.jcmg.2008.11.018.
5. Friedrich, MG, Abdel-Aty, H, Taylor, A, Schulz-Menger, J, Messroghli, D, Dietz, R, The salvaged area at risk in reperfused acute myocardial infarction as visualized by cardiovascular magnetic resonance. J Am Coll Cardiol 51 (2008), 1581–1587 PubMed PMID: 18420102 10.1016/j.jacc.2008.01.019.
6. Stork, A, Muellerleile, K, Bansmann, PM, Graessner, J, Kaul, M, Kemper, J, Adam, G, Lund, GK, Value of T2-weighted, first-pass and delayed enhancement, and cine CMR to differentiate between acute and chronic myocardial infarction. Eur Radiol 17 (2007), 610–617 PubMed PMID: 17149626 10.1007/s00330-006-0460-6.
7. Abdel-Aty, H, Zagrosek, A, Schulz-Menger, J, Taylor, AJ, Messroghli, D, Kumar, A, Gross, M, Dietz, R, Friedrich, MG, Delayed enhancement and T2-weighted cardiovascular magnetic resonance imaging differentiate acute from chronic myocardial infarction. Circulation 109 (2004), 2411–2416 PubMed PMID: 15123531 10.1161/01.CIR.0000127428.10985.C6.
8. Wright, J, Adriaenssens, T, Dymarkowski, S, Desmet, W, Bogaert, J, Quantification of myocardial area at risk with T2-weighted CMR: comparison with contrast-enhanced CMR and coronary angiography. JACC Cardiovasc Imaging 2 (2009), 825–831 PubMed PMID: 19608131 10.1016/j.jcmg.2009.02.011.
9. Tilak, GS, Hsu, LY, Hoyt, RF Jr, Arai, AE, Aletras, AH, In vivo T2-weighted magnetic resonance imaging can accurately determine the ischemic area at risk for 2-day-old nonreperfused myocardial infarction. Invest Radiol 43 (2008), 7–15 PubMed PMID: 18097272 10.1097/RLI.0b013e3181558822.
10. Burchell, T, Flett, A, Petersen, S, Davies, L, Mohiddin, S, Mathur, A, Westwood, M, Comparing analysis methods for quantification of myocardial oedema in patients following reperfused ST-elevation MI. Journal of Cardiovascular Magnetic Resonance, 13, 2011, M11 PubMed PMCID 3106534 10.1186/1532-429X-13-S1-M11.
11. Johnstone, RI, Greenwood, JP, Biglands, JD, Plein, S, Ridgway, JP, Radjenovic, A, Assessment of tissue edema in patients with acute myocardial infarction by computer-assisted quantification of triple inversion recovery prepared MRI of the myocardium. Magn Reson Med, 2011.
12. Beek, AM, Nijveldt, R, van Rossum, AC, Intramyocardial hemorrhage and microvascular obstruction after primary percutaneous coronary intervention. Int J Cardiovasc Imaging 26 (2010), 49–55 PubMed PMCID 2795157, PMID: 19757151 10.1007/s10554-009-9499-1.
13. Heiberg, E, Sjogren, J, Ugander, M, Carlsson, M, Engblom, H, Arheden, H, Design and validation of Segment–freely available software for cardiovascular image analysis. BMC Med Imaging, 10, 2010, 1 PubMed PMCID 2822815, PMID: 20064248 10.1186/1471-2342-10-1.
14. Cerqueira, MD, Weissman, NJ, Dilsizian, V, Jacobs, AK, Kaul, S, Laskey, WK, Pennell, DJ, Rumberger, JA, Ryan, T, Verani, MS, Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 105 (2002), 539–542 PubMed PMID: 11815441 10.1161/hc0402.102975.
15. Dempster, AP, Laird, NM, Rubin, DB, Maximum Likelihood from Incomplete Data Via Em Algorithm. J Roy Stat Soc B Met 39 (1977), 1–38.
16. Granlund, G, Knutsson, H, Signal processing for computer vision, 1995, Kluwer Academic Publishers, Linkoping 10.1007/978-1-4757-2377-9.
17. Hsu, LY, Natanzon, A, Kellman, P, Hirsch, GA, Aletras, AH, Arai, AE, Quantitative myocardial infarction on delayed enhancement MRI. Part I: Animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm. J Magn Reson Imaging 23 (2006), 298–308 PubMed PMID: 16450367 10.1002/jmri.20496.
18. Otsu, N, Threshold Selection Method from Gray-Level Histograms. Ieee T Syst Man Cyb 9 (1979), 62–66 10.1109/TSMC.1979.4310076.
19. Dice, LR, Measures of the Amount of Ecologic Association between Species. Ecology 26 (1945), 297–302 10.2307/1932409.
20. Zijdenbos, AP, Dawant, BM, Margolin, RA, Palmer, AC, Morphometric Analysis of White-Matter Lesions in Mr-Images-Method and Validation. Ieee T Med Imaging 13 (1994), 716–724 10.1109/42.363096.
21. Abdel-Aty, H, Simonetti, O, Friedrich, MG, T2-weighted cardiovascular magnetic resonance imaging. J Magn Reson Imaging 26 (2007), 452–459 PubMed PMID: 17729358 10.1002/jmri.21028.