Influence of bright intramural echoes on estimates of ultrasonic attenuation from backscattered ultrasound in excised myocardium

Ultrasonic Imaging

Volumn 26, Issue 4, 2004, Pages 233-249

  Baldwin, Steven L ^a   Yang, Min ^a   Marutyan, Karen R ^a   Wallace, Kirk D ^a   Holland, Mark R ^a   Miller, James G ^a  

^a WASHINGTON UNIVERSITY   (United States)

Author keywords

Anisotropy; Attenuation; Backscatter; Bright intramural echoes; Echocardiography; M mode; Myocardium; Tissue characterization; Ultrasound; Video signal analysis

Indexed keywords

ANISOTROPY; BACKSCATTERING; ECHOCARDIOGRAPHY; IMAGING SYSTEMS; SIGNAL ANALYSIS; ULTRASONIC IMAGING; ULTRASONIC TRANSDUCERS; ULTRASONICS;

ATTENUATION; BRIGHT INTRAMURAL ECHOES; M-MODE; MYOCARDIUM; TISSUE CHARACTERIZATION;

ERROR COMPENSATION;

FORMALDEHYDE;

ANIMAL TISSUE; ANISOTROPY; ARTICLE; ATTENUATION; CONTROLLED STUDY; DATA ANALYSIS; HEART MUSCLE; IMAGE ANALYSIS; IMAGING SYSTEM; LAMB; M MODE ECHOCARDIOGRAPHY; NONHUMAN; TISSUE CHARACTERIZATION; ULTRASOUND TRANSDUCER; VIDEORECORDING;

EID: 17644383359     PISSN: 01617346     EISSN: None     Source Type: Journal    
DOI: 10.1177/016173460402600403     Document Type: Article

References (47)

1. Barzilai B, Madaras EI, Sobel BE, Miller JG, Perez JE. Effects of myocardial contraction on ultrasonic backscatter before and after ischemia, Am J Physiol 247, H478-483, (1984).
2. Barzilai B, Vered Z, Mohr GA, et al. Myocardial ultrasonic backscatter for characterization of ischemia and reperfusion: Relationship to wall motion, Ultra sound Med Biol 16, 391-398 (1990).
3. Bijnens B, D'Hooge J, Schrooten M, et al. Are changes in myocardial integrated backscatter restricted to the ischemic zone in acute induced ischemia? An in vivo animal study, J Am Soc Echocardiogr 13, 306-315 (2000).
4. Castaldo M, Funaro S, Veneroso G, Agati L. Detection of residual tissue viability within the infarct zone in patients with acute myocardial infarction: ultrasonic integrated backscatter analysis versus dobutamine stress echocardiography, J Am Soc Echocardiogr 13, 358-367 (2000).
5. Colonna P, Montisci R, Galiuto L, Meloni L, Iliceto S. Effects of acute myocardial ischemia on intramyocardial contraction heterogeneity: A study performed with ultrasound integrated backscatter during transesophageal atrial pacing, Circulation 100, 1770-1776 (1999).
6. Glueck RM, Mottley JG, Miller JG, Sobel BE, Perez JE. Effects of coronary artery occlusion and reperfusion on cardiac cycle-dependent variation of myocardial ultrasonic backscatter, Circ Res 56, 683-689 (1985).
7. Hancock JE, Cooke JC, Chin DT, Monaghan MJ. Determination of successful reperfusion after thrombolysis for acute myocardial infarction: a noninvasive method using ultrasonic tissue characterization that can be applied clinically, Circulation 105, 157-161 (2002).
8. Hirata N, Maeda S, Takiuchi S, et al. Real time assessment of myocardial revascularization during coronary artery bypass surgery by means of ultrasonic integrated backscatter, Eur J Cardiothorac Surg 16, 156-159 (1999).
9. Holland MR, Wallace KD, Miller JG. Potential relationships among myocardial stiffness, the measured level of my ocardial backscatter ("image brightness") and the magnitude of the systematic variation of backscatter (cyclic variation) over the heart cycle, J Am Soc Echo 17, 1131-1137 (2004).
10. Kovacs A, Courtois MR, Weinheimer CJ, et al. Ultrasonic tissue characterization of the mouse myocardium: Successful in vivo cyclic variation measurements, J Am Soc Echo 17, 883-892 (2004).
11. Lin LC, Wu CC, Ho YL, Chen MF, Liau CS, Lee YT. Ultrasonic tissue characterization in predicting residual ischemia and myocardial viability for patients with acute myocardial infarction, Ultrasound Med Biol 24, 1107-1120 (1998).
12. Milunski MR, Mohr GA, Wear KA, et al. Early identification with ultrasonic integrated backscatter of viable but stunned myocardium in dogs, J Am Coll Cardiol 14, 462-471 (1989).
13. Pasquet A, D'Hondt AM, Melin JA, Vanoverschelde JL. Relation of ultrasonic tissue characterization with integrated backscatter to contractile reserve in chronic left ventricular ischemic dysfunction, Am J Cardiol 81, 68-74 (1998).
14. Pislaru C, D'Hooge J, Pislaru SV, et al. Is there a change in myocardial nonlinearity during the cardiac cycle? Ultrasound Med Biol 27, 389-398 (2001).
15. Sagar KB, Pelc LR, Rhyne TL, et al. Role of ultrasonic tissue characterization to distinguish reversible from irreversible myocardial injury, J Am Soc Echocardiogr 3, 471-477. (1990).
16. Takiuchi S, Ito H, Iwakura K, Taniyama Y, et al. Ultrasonic tissue characterization predicts myocardial viability in early stage of reperfused acute myocardial infarction, Circulation 97, 356-362 (1998).
17. Vandenberg BF, Stuhlmuller JE, Rath L, et al. Diagnosis of recent myocardial infarction with quantitative backscatter imaging: preliminary studies, J Am Soc Echocardiogr 4, 10-18 (1991).
18. Vered Z, Mohr GA, Barzilai B, et al. Ultrasound integrated backscatter tissue characterization of remote myocardial infarction in human subjects, J Am Coll Cardiol 13, 84-91 (1989).
19. Yuda S, Dart J, Najos O, Marwick TH. Use of cyclic variation of integrated backscatter to assess contractile reserve and myocardial viability in chronic ischemic left ventricular dysfunction, Echocardiography 19, 279-287. (2002).
20. van der Steen AF, Rijsterborgh H, Mastik F, et al. Influence of attenuation on measurements of ultrasonic myocardial integrated backscatter during cardiac cycle (an in vitro study), Ultrasound Med Biol 17, 869-877 (1991).
21. Wear KA, Milunski MR, Wickline SA, et al. Contraction-related variation in frequency dependence of acoustic properties of canine myocardium, J Acoust Soc Am 86, 2067-2072 (1989).
22. Aygen M, Popp RL. Influence of the orientation of myocardial fibers on echocardiographic images, Am J Cardiol 60, 147-152 (1987).
23. Brandenburger GH, Klepper JR, Miller JG, Snyder DL. Effects of anisotropy in the ultrasonic attenuation of tissue on computed tomography, Ultrasonic Imaging 3, 113-143 (1981).
24. Holland MR, Wilkenshoff UM, Finch-Johnston AE, et al. Effects of myocardial fiber orientation in echocardiography: quantitative measurements and computer simulation of the regional dependence of backscattered ultrasound in the parasternal short-axis view, J Am Soc Echocardiogr 11, 929-937 (1998).
25. Klepper JR, Brandenburger GH, Mimbs JW, et al. Application of phase-insensitive detection and frequency-dependent measurements to computed ultrasonic attenuation tomography, IEEE Trans Biomed Eng 28, 186-201 (1981).
26. Mottley JG, Miller G. Anisotropy of the ultrasonic attenuation in soft tissues: Measurements in vitro, J Acoust Soc Am 88, 1203-1210 (1990).
27. Recchia D, Miller JG, Wickline SA. Quantification of ultrasonic anisotropy in normal myocardium with lateral gain compensation of 2-dimensional integrated backscatter images, Ultrasound Med Biol 19, 497-505 (1993).
28. Sosnovik DE, Baldwin SL, Holland MR, Miller JG. Transmural variation of myocardial attenuation and its potential effect on contrast-mediated estimates of regional myocardial perfusion, J Am Soc Echocardiogr 14, 782-788 (2001).
29. Sosnovik DE, Baldwin SL, Lewis SH, Holland MR, Miller JG. Transmural variation of myocardial attenuation measured with a clinical imager, Ultrasound Med Biol 27, 1643-1650 (2001).
30. van der-Steen AFW, Mastik F, Vletter WB, Lancee CT, Bom N. in Proc 1995 IEEE Ultrason Symp, Cat. no. 95CH35844, pp. 1149-1152 (1995).
31. Verdonk ED, Hoffmeister BK, Wickline SA, Miller JG. Anisotropy of the slope of ultrasonic attenuation in formalin fixed human myocardium, J Acoust Soc Am 99, 3837-3843 (1996).
32. Baldwin SL, Holland MR, Sosnovik DE, Miller JG. Effects of region-of-interest length on estimates of myocardial ultrasonic attenuation, Med Phys 32, 418-426 (2005).
33. Baldwin SL, Marutyan KR, Yang M, et al. Estimating myocardial attenuation from m-mode ultrasonic backscatter, Ultrasound Med Biol (in press) (2005).
34. Knipp BS, Zagzebski JA, Wilson TA, Dong F, Madsen EL. Attenuation and backscatter estimation using video signal analysis applied to b-mode images, Ultrasonic Imaging 19, 221-233 (1997).
35. Yao LX, Zagzebski JA, Madsen EL. Statistical uncertainty in ultrasonic backscatter and attenuation coefficients determined with a reference phantom, Ultrasound Med Biol 17, 187-194 (1991).
36. Tu H, Varghese T, Madsen EL, Chen Q, Zagzebski JA. Ultrasound attenuation imaging using compound acquisition and processing, Ultrasonic Imaging 25, 245-261 (2003).
37. Burch M, Kaufman L, Archer N, Sullivan I. Persistent pulmonary hypertension late after neonatal aortic valvotomy: A consequence of an expanded surgical cohort, Heart 90, 918-920 (2004).
38. Skorton DJ, Collins SM. Clinical potential of ultrasound tissue characterization in cardiomyopathies, J Am Soc Echocardiogr 1, 69-77 (1988).
39. Skorton DJ, Melton HE, Jr., Pandian NG, et al. Detection of acute myocardial infarction in closed-chest dogs by analysis of regional two-dimensional echocardiographic gray-level distributions, Circ Res 52, 36-44 (1983).
40. Szabo TL. Diagnostic Ultrasound Imaging: Inside Out (Elsevier Academic Press, Burlington/San Diego/London, 2004).
41. Greenleaf JF, Sehgal CM. Biologic System Evaluation with Ultrasound (Springer Verlag, New York, 1992).
42. Madsen EL, Dong F, Frank GR, et al. Interlaboratory comparison of ultrasonic backscatter, attenuation, and speed measurements, J Ultrasound Med 18, 615-631 (1999).
43. Mimbs JW, O'Donnell M, Bauwens D, Miller JG, Sobel BE. The dependence of ultrasonic attenuation and backscatter on collagen content in dog and rabbit hearts, Circ Res 47, 49-58 (1980).
44. Berger G, Laugier P, Fink M, Perrin J. Optimal precision in ultrasound attenuation estimation and application to the detection of duchenne muscular dystrophy carriers, Ultrasonic Imaging 9, 1-17 (1987).
45. He P, Greenleaf JF. Attenuation estimation on phantoms - a stability test, Ultrason Imaging 8, 1-10 (1986).
46. Ophir J, McWhirt RE, Maklad NF, Jaeger PM. A narrowband pulse-echo technique for in vivo ultrasonic attenuation estimation, IEEE Trans Biomed Eng 32, 205-212 (1985).
47. Parker KJ. Attenuation measurement uncertainties caused by speckle statistics, J Acoust Soc Am 80, 727-734 (1986).