Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:
Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5835_Библиотеки_им_академика_М_И_Перельмана.pdf
Скачиваний:
0
Добавлен:
10.10.2026
Размер:
8 Мб
Скачать
☆
both narrow- and wide-angled acquisition modes, which in turn has an impact on
the size of the pyramidal volume. Data are stored digitally on CD-ROM and may be
transferred to an off-line computer for quantitative purposes.
The left ventricle (apical four-, three-, and two-chamber views) is usually
acquired from the apical window using wide-angled acquisition (Figure 10.22).
Images may be displayed using either orthogonal long-axis views or multiple
short-axis views, obtained at the level of the left ventricular apex, papillary muscles,
and the base (Figure 10.22, bottom row). For example, when slicing the heart
orthogonally in a four-chamber view, the septal and lateral walls together with the
entire surface ofthe anterioror posteriorwall are visualized (Figure 10.22, top row).
Likewise, in a two-chamber view, the anterior and inferior walls are imaged in con-
junction with the entire surface of the septum or lateral walls, depending on the
orthogonal cut used (Figure 10.22, middle row). The right ventricle can also be
assessed from a traditional four chamber. In contrast to 2-D echocardiography, 3-D
echocardiography does not rely on geometric assumptions to calculate left ventricu-
lar volumes. This constitutes a real advantage in ventricles with odd shapes and wall
motion abnormalities [86]. Similarly, the unique geometrical shape of the right ven-
tricle has precluded accurate quantification using traditional echocardiographic
methods.
Transthoracic 3-D echocardiography has the potential to overcome these limita-
tions, resulting in accurate measurements of right ventricular size and function.
Multiple studies have found 3-D calculated left ventricular volumes, ejection frac-
tions, and left ventricular mass values to be comparable to those obtained with
274 Echocardiography: A Tool for LVSD Identification
Base
Two chamber
Septal wall Lateral wall
Four chamber
Anterior wall
Posterior wall
Mid
Apex
Figure 10.22 Wide-angled scan of the left ventricle sliced using multiple cut planes.
nuclear imaging and MRI. However, because gated acquisition methods including
free-hand scanning are tedious, time consuming, and relatively nonportable, calcu-
lations of left ventricular ejection fractions from 3-D reconstructions have not been
incorporated into routine echocardiographic studies. Additional disadvantages of
the previously used 3-D methodologies include these: (1) datasets were acquired
over multiple heart cycles; (2) data processing was slow because of the limitations of
computer technology; (3) calculation of left ventricular volumes was performed on
an off-line system, which requires tedious manual tracing of endocardial borders;
and (4) the left ventricle was displayed using a static wire frame, which failed to
provide anatomic information.
Quantification of left ventricular volumes and mass using real-time 3-D
echocardiography is usually performed from using various apical wide-angled
acquisition methods. Because a dataset comprises the entire left ventricular volume,
multiple slices can be obtained from the base to the apex of the heart to evaluate
wall motion. This acquisition can be combined with the use of an contrast infusion,
particularly in patients who have a difficult acoustic window in whom it might be of
benefit to improve the delineation of the endocardial border.
The 3-D volume dataset is then automatically divided intoa number (that is, n =
8) of predetermined equiangled longitudinal slices through the apex (Figure 10.23,
10.5 Real-Time 3-D Echocardiography 275
B
A
C
D
E
F
Figure 10.23 Panel A depicts the pyramidal volume of data divided automatically into eight
equiangled longitudinal slices through the apex. Panels B and C depict the automated border
detection algorithm used to track endocardial borders throughout the cardiac cycle. A dynamic
ventricular cast is automatically displayed as a result of the endocardial borders and surface recon
-
struction (panel D). Global volumes and ejection fraction are displayed in panel E. Regional vol
-
umes of all 16 segments are shown in panel F.
panel A). Themidpoint ofthe mitral valve annulus, apex, and aortic valve are identi-
fied as landmarks. In each of the longitudinal slices, an automated border detection
algorithm is then used to track endocardial borders throughout the cardiac cycle
(Figure 10.23, panels B and C) to obtain a dynamic cast of the left ventricle, as well
as instantaneous global and regional left ventricular volumes versus time curves
(Figure 10.23, panels D–F). This method of data analysis is semiautomated. In pre-
liminary work, the volumes obtained with this method compare favorably with
those obtained with cardiac MRI.
An alternative method of calculating ventricular volumes from a real-time 3-D
cardiac volume dataset is to use the disc summation method, which has been well
validated in thepast (Figure10.24). With this method, multiple short-axis cutplanes
are obtained from base to apex using a predefined distance interval. In each
short-axis slice, endocardial borders at end systole and end diastole are traced and
the summations of these volumes at end systole and end diastole are used to calcu-
late left ventricular ejection fraction.
276 Echocardiography: A Tool for LVSD Identification
A
B
C
D
Figure 10.24 The disc summation method is an alternative method for calculating left ventricular
volume and ejection fraction. The left ventricle is placed in a longitudinal position (panels A and
B). With predefined distance intervals, multiple short-axis cut planes are derived and endocardial
borders traced in all end-systolic and end-diastolic frames (panel C). The summation of the vol
-
umes of each slice results in the left ventricular volumes illustrated in panel D.

References

[1] Yusuf, S., et al., “Global Burden of Cardiovascular Diseases: Part I: General Consider
-
ations, the Epidemiologic Transition, Risk Factors, and Impact of Urbanization,” Circula
-
tion, Vol. 104, 2001, pp. 2746–2753.
[2] Teerlink, J. R., S. Z. Goldhaber, and M. A. Pfeffer, “An Overview of ContemporaryEtiolo-
gies of Congestive Heart Failure,” Am. Heart J., Vol. 121, 1991, pp. 1852–1853.
[3] Reichek, N., et al., “Noninvasive Determination of Left Ventricular End-Systolic Stress:
Validation of the Method andInitial Application,” Circulation, Vol. 65,1982, pp. 99–108.
[4] The CONSENSUS Trial Study Group, “Effects of Enalapril on Mortality in Severe Conges-
tive Heart Failure. Results of the Cooperative North Scandinavian Enalapril Survival Study
(CONSENSUS),” N. Engl. J. Med., Vol. 316, 1987, pp. 1429–1435.
[5] The SOLVD Investigators, “Effect of Enalapril on Survival in Patients with Reduced Left
Ventricular Ejection Fractions and Congestive Heart Failure,” N. Engl. J. Med., Vol. 325,
1991, pp. 293–302.
[6] The SOLVD Investigators, “Effect of Enalapril on Mortality and the Development of Heart
Failure in Asymptomatic Patients with Reduced Left Ventricular Ejection Fractions,”
N. Engl. J. Med., Vol. 327, 1992, pp. 685–691.
[7] Paraskos, J. A., et al., “A Noninvasive Technique for the Determination of Velocity of Cir-
cumferential Fiber Shortening in Man,” Circ. Res., Vol. 29, No. 6, 1971, pp. 610–615.
[8] Tei, C., et al., “New Index of Combined Systolic and Diastolic Myocardial Performance: A
Simple and Reproducible Measure of Cardiac Function—A Study in Normals and Dilated
Cardiomyopathy,” J. Cardiol., Vol. 26, No. 6, 1995, pp. 357–366.
[9] Tei, C., et al., “Noninvasive Doppler-Derived Myocardial Performance Index: Correlation
with Simultaneous Measurements of Cardiac Catheterization Measurements,” J. Am. Soc.
Echocardiogr., Vol. 10, No. 2, 1997, pp. 169–178.
[10] Bargiggia, G. S., et al., “A New Method for Estimating Left Ventricular dP/dt by Continu-
ous Wave Doppler-Echocardiography. Validation Studies at Cardiac Catheterization,” Cir-
culation, Vol. 80, 1989, pp. 1287–1292.
[11] Grossman, W., et al., “Alterations in Preload and Myocardial Mechanics in the Dog and in
Man,” Circ. Res., Vol. 31, No. 1, 1972, pp. 83–94.
[12] Brodie, B. R., et al., “Effects of Sodium Nitroprusside on Left Ventricular Diastolic Pres-
sure-Volume Relations,” J. Clin. Invest., Vol. 59, No. 1, 1977, pp. 59–68.
[13] Grossman, W., et al., “Contractile State of the Left Ventricle in Man as Evaluated from
End-Systolic Pressure-Volume Relations,” Circulation, Vol.56, No. 5, 1977, pp.845–522.
[14] Sagawa, K., “The End-Systolic Pressure-Volume Relation of the Ventricle: Definition,
Modifications and Clinical Use,” Circulation, Vol. 63, 1981, pp. 1223–1227.
[15] Starling, M. R., et al., “Impaired Left Ventricular Contractile Function in Patients with
Long-Term Mitral Regurgitation and Normal Ejection Fraction,” J. Am. Coll. Cardiol.,
Vol. 22, 1993, pp. 239–250.
[16] Gorcsan, J., et al., “Rapid Estimation of Left Ventricular Contractility from End-Systolic
Relations by Echocardiographic Automated Border Detection and Femoral Arterial Pres-
sure,” Anesthesiology, Vol. 81, 1994, pp. 553–562; discussion, p. 27A.
[17] Hayward, C. S., et al., “Effect of Inhaled Nitric Oxide on Normal Human Left Ventricular
Function,” J. Am. Coll. Cardiol., Vol. 30, No. 1, 1997, pp. 49–56.
[18] Glower, D. D., et al., “Linearity of the Frank-Starling Relationship in the Intact Heart: The
Concept of Preload Recruitable Stroke Work,” Circulation, Vol. 71, No. 5, 1985,
pp. 994–1009.
[19] Weber, K. T., J. S. Janicki, and L. L. Hefner, “Left Ventricular Force-Length Relations of
Isovolumic and Ejecting Contractions,” Am. J. Physiol., Vol. 231, No. 2, 1976,
pp. 337–343.
10.5 Real-Time 3-D Echocardiography 277
[20] Lee, J. D., et al., “Application of End-Systolic Pressure-Volume and Pressure-Wall Thick
-
ness Relations in Conscious Dogs,” J. Am. Coll. Cardiol., 9, No. 1, 1987, pp. 136–146.
[21] Aroney, C. N., et al., “Linearity of the Left Ventricular End-Systolic Pressure-Volume Rela
-
tion in Patients with Severe Heart Failure,” J. Am. Coll. Cardiol., Vol. 14, No. 1, 1989,
pp. 127–134.
[22] McKay, R. G., et al., “Assessment of the End-Systolic Pressure-Volume Relationship in
Human Beings with the Use of a Time-Varying Elastance Model,” Circulation, Vol. 74,
No. 1, 1986, pp. 97–104.
[23] Herrmann, H. C., et al., “Inotropic Effect of Enoximone in Patients with Severe Heart Fail-
ure: Demonstration by Left Ventricular End Systolic Pressure-Volume Analysis,” J. Am.
Coll. Cardiol., Vol. 9, No. 5, 1987, pp. 1117–1123.
[24] McClain, L. C., et al., “Afterload Sensitivity of Nonlinear End-Systolic Pressure-Volume
Relation vs. Preload Recruitable Stroke Work in Conscious Dogs,” J. Surg. Res., Vol. 75,
No. 1, 1998, pp. 6–17.
[25] Burkhoff, D., et al., “Contractility-Dependent Curvilinearity of End Systolic Pressure-Vol-
ume Relations,” Am. J. Physiol., Vol. 252, No. 6, Pt. 2, 1987, pp. H1218–H1227.
[26] Little, W. C., et al., “Response of the Left Ventricular End-Systolic Pressure-Volume Rela-
tion in Conscious Dogs to a Wide Range of Contractile States,” Circulation, Vol. 78, No. 3,
1988, pp. 736–745.
[27] Berko B, et al., “Disparity Between Ejection and End-Systolic Indexes of Left Ventricular
Contractility in Mitral Regurgitation,” Circulation, Vol. 75, 1987, pp. 1310–1319.
[28] Schiller, N. B., “Two-Dimensional Echocardiographic Determination of Left Ventricular
Volume, Systolic Function, and Mass. Summary and Discussion of the 1989 Recommenda-
tions of the American Society of Echocardiography,” Circulation, Vol. 84, Suppl. 3, 1991,
pp. I280–I287.
[29] Davila-Roman, V. G., et al., “Quantification of Left Ventricular Dimensions on Line with
Biplane Transesophageal Echocardiography and Lateral Gain Compensation,”
Echocardiography, Vol. 11, No. 2, 1994, pp. 119–125.
[30] Lindower, P. D., et al., “Quantification of Left Ventricular Function with an Automated
Border Detection System and Comparison with Radionuclide Ventriculography,” Am. J.
Cardiol., Vol. 73, No. 2, 1994, pp. 195–199.
[31] Vanoverschelde, J. L., et al., “On-Line Quantification of Ventricular Volumes and Ejection
Fraction by Automated Backscatter Imaging-Assisted Boundary Detection: Comparison
with Contrast Cineventriculography,” Am. J. Cardiol., Vol. 74, No. 6,1994, pp. 633–635.
[32] Marcus, R. H., et al., “Ultrasonic Backscatter System for Automated On-Line Endocardial
Boundary Detection: Evaluation by Ultrafast Computed Tomography,” J. Am. Coll.
Cardiol., 22, No. 3, 1993, pp. 839–847.
[33] Stewart, W. J., et al., “Left Ventricular Volume Calculation with Integrated Backscatter
from Echocardiography,” J. Am. Soc. Echocardiogr. Vol. 6, No. 6, 1993, pp. 553–563.
[34] Gorcsan III, J., et al., “Online Estimation of Changes in Left Ventricular Stroke Volume by
Transesophageal Echocardiographic Automated Border Detection in Patients Undergoing
Coronary Artery Bypass Grafting,” Am. J. Cardiol., Vol. 72, No. 9, 1993, pp. 721–727.
[35] Gorcsan III, J., et al., “Left Ventricular Pressure-Volume Relations with Transesophageal
Echocardiographic Automated Border Detection: Comparison with Conductance-Catheter
Technique,” Am. Heart J., Vol. 131, No. 3, 1996, pp. 544–552.
[36] Glower, D. D., et al., “Linearity of the Frank-Starling Relationship in the Intact Heart: The
Concept of Preload Recruitable Stroke Work,” Circulation, Vol. 71, No. 5, 1985,
pp. 994–1009.
[37] Little, W. C., et al., “Comparison of Measures of Left Ventricular Contractile Performance
Derived from Pressure-Volume Loops in Conscious Dogs,” Circulation, Vol. 80, No. 5,
1989, pp. 1378–1387.
278 Echocardiography: A Tool for LVSD Identification
[38] Takeuchi, M., et al., “Comparison Between Preload Recruitable Stroke Work and the
End-Systolic Pressure-Volume Relationship in Man,” Eur. Heart J., Vol. 13, Suppl. E,
1992, pp. 80–84.
[39] Senzaki, H., C. H. Chen, and D. A. Kass, “Single-Beat Estimation of End-Systolic Pres
-
sure-Volume Relation in Humans: A New Method with the Potential for Noninvasive
Application,” Circulation, Vol. 94, No. 10, 1996, pp. 2497–2506.
[40] Karunanithi, M. K., and M. P. Feneley, “Single-Beat Determination of Preload Recruitable
Stroke Work Relationship: Derivation and Evaluation in Conscious Dogs,” J. Am. Coll.
Cardiol., Vol. 35, No. 2, 2000, pp. 502–513.
[41] Borow, K. M., et al., “Left Ventricular End-Systolic Stress Shortening and Stress-Length
Relations in Human. Normal Values and Sensitivity to Inotropic State,” Am J. Cardiol.,
Vol. 50, No. 6, 1982, pp. 1301–1308.
[42] Schillar, N. B., et al., “Recommendations for Quantification of the Left Ventricle by Two
Dimensional Echocardiography. American Society of Echocardiography Committee Stan-
dards, Subcommittee on Quantisation of Two Dimensional Echocardiograms,” J. Am. Soc.
Echocardiogr., Vol. 2, 1989, pp. 358–367.
[43] Helmcke, F., et al., “Color Doppler Assessment of Mitral Regurgitation with Orthogonal
Planes,” Circulation, Vol. 75, 1987, pp. 175–183.
[44] Erbel, R., et al., “Comparison of Single-Plane and Biplane Volume Determination by
Two-Dimensional Echocardiography. 1. Asymmetric Model Hearts,” Eur. Heart J., Vol. 3,
1982, pp. 469–480.
[45] Himelman, R. B., et al., “Reproducibility of Quantitative Two-Dimensional
Echocardiography,” Am. Heart J., Vol. 115, No. 2, 1988, pp. 425–431.
[46] Rivera, J. M., et al., “Quantification of Mitral Regurgitation with the Proximal Flow Con-
vergence Method: A Clinical Study,” Am. Heart J., Vol. 124, No. 5,1992, pp. 1289–1296.
[47] Pu, M., et al., “Quantification of Mitral Regurgitation by the Proximal Convergence
Method Using Transesophageal Echocardiography: Clinical Validation of a Geometric
Correction for Proximal Flow Constraint,” Circulation, Vol. 92, 1995, pp. 2169–2177.
[48] Blumlein, S., et al., “Quantitation of Mitral Regurgitation by Doppler Echocardiography,”
Circulation, Vol. 74, 1986, pp. 306–314.
[49] Hegger, J. J., A. E. Weyman, and L. S. Wann, “Cross Sectional Echocardiography in Acute
Myocardial Infarction: Detection and Localization of Regional Left Ventricular Asynergy,”
Circulation, Vol. 60, 1979, pp. 531–538.
[50] Kisslo, J. A., et al., “A Comparison of Real-Time, Two Dimensional Echocardiography and
Cineangiography in Detecting Left Ventricular Asynergy,” Circulation, Vol. 55, 1977,
pp. 134–141.
[51] Henry, W. L., et al., “Report of the American Society of Echocardiography Committee on
Nomenclature and Standards in Two-Dimensional Echocardiography,” Circulation,
Vol. 62, 1980, pp. 212–217.
[52] Cerqueira, M. D., et al., “Standardized Myocardial Segmentation and Nomenclature for
Tomographic Imaging of the Heart: A Statementfor Healthcare Professionals from theCar-
diac Imaging Committee of the Council on Clinical Cardiology of the American Heart
Association,” Circulation, Vol. 105, 2002, pp. 539–542.
[53] Gottdiener, J. S., et al., “American Society of Echocardiography Recommendations for Use
of Echocardiography in Clinical Trials,” J. Am. Soc. Echocardiogr., Vol. 17, 2004,
pp. 1086–1119.
[54] Berming, J., et al., “Rapid Estimation of Left Ventricular Ejection Fraction in Acute Myo-
cardial Infarction by Echocardiographic Wall Motion Analysis,” Cardiology, Vol. 80,
1992, pp. 257–266.
[55] McGowan, J. H., and J. G. Cleland, “Reliability of Reporting Left Ventricular Systolic
Function by Echocardiography: A Systematic Review of 3 Methods,” Am. Heart J.,
Vol. 146, 2003, pp. 388–397.
10.5 Real-Time 3-D Echocardiography 279
[56] Galasko, G. I. W., et al., “A Prospective Comparison of Echocardiographic Wall Motion
Score Index and Radionuclide Ejection Fraction in Predicting Outcome Following Acute
Myocardial Infarction,” Heart, Vol. 86, September 2001, pp. 271–276.
[57] Gustafsson, F., C. Torp-Pedersen, and B. Brendorp, “Long-Term Survival in Patients Hospi
-
talized with Congestive Heart Failure: Relation to Preserved and Reduced Left Ventricular
Systolic Function,” Eur. Heart J., Vol. 24, 2003, pp. 863–870.
[58] Ho, S. Y., M. Hocini, and T. Kawara, “Electrical Conduction in Canine Pulmonary Veins:
Electrophysiological and Anatomic Correlations,” Circulation, Vol. 105, 2002,
pp. 2442–2448.
[59] Hedberg, P., “Left Ventricle Systolic Dysfunction in75 YearOld Menand Women, A Com-
munity Based Prevalence, Screening and Mitral AnnulusMotion for Diagnosis and Prognos-
tics,” Ph.D. Dissertation, Uppsala: Uppsala University, 2005.
[60] Willenheimer, I. R., et al., “Left Ventricular Atrioventricular Plane Displacement: An
Echocardiographic Technique for Rapid Assessment of Prognosis in Heart Failure,” Heart,
Vol. 78, 1997, pp. 230–236.
[61] Jenson-Urstad K. I., et al., “Comparison of Different Echocardiographic Methods with
Radionuclide Imagingfor MeasuringLeft VentricularEjection Fraction During Acute Myo-
cardial Infarction Treated by Thrombolytic Therapy,” The American Journal of Cardiol-
ogy, Vol. 81, No. 5, March 1, 1998, pp. 538–544.
[62] Manivannan, J., et al., “Endocardial Edge Detection by Fuzzy Inference System,” Proc.
IEEE TENCON 2003, Bangalore, India, October 2003, Vol. 1, pp. 3–5.
[63] Patel, A. R., et al., “Echocardiographic Analysis of Regional and Global Left Ventricular
Shape in Chagas’ Cardiomyopathy,” Am. J. Cardiol., Vol. 82, 1998, pp. 197–202.
[64] Douglas, P. S., et al., “Left Ventricular Shape, Afterload and Survival in Idiopathic Dilated
Cardiomyopathy,” J. Am. Coll. Cardiol., Vol. 13, 1989, pp. 311–315.
[65] Yetram, A. L., and M. C. Beecham, “An Analytical Method for the Determination of
Along-Fiber to Cross-Fiber Elastic Modulus Ratio in Ventricular Myocardium—A Feasibil-
ity Study,” Med. Eng. Phys., Vol. 20, 1998, pp. 103–108.
[66] Sundblad, P., and B. Wrane, “Influence of Posture on Left Ventricular Long and Short Axis
Shortening,” Am. J. Physiol. Heart Circ. Physiol., Vol. 283, 2002, pp. 1302–1306.
[67] Doblas, G., et al., “Left Ventricular Geometry and Operative Mortality in Patients Under-
going Mitral Valve Replacement,” Clin. Cardiol., Vol. 24, 2001, pp. 717–722.
[68] Manivannan, J., et al., “Quantitative Evaluation of Left Ventricle Performance from Two
Dimensional Echo Images,” Echocardiography, Vol. 23, No. 2, pp. 87–92.
[69] Edler, I., and C. H. Hertz, “The Use of UltrasonicReflectoscope for the Continuous Record-
ing of the Movements of Heart Walls,” Kungl. Fysiografiska sällskapets i Lund
förhandlingar, Vol. 24, 1954, pp. 1–19.
[70] Baraldi, P., et al., “Evaluation of Differential Optical Flow Techniques on Synthesized Echo
Images,” IEEE Trans. on Biomedical Eng., Vol. 43, No. 3, 1996, pp. 259–272.
[71] Doss, J. K., et al., “A New Model for the Assessment of Regional LV Wall Motion,” Radiol-
ogy, Vol. 143, 1982, pp. 763–770.
[72] Buchalter, M. B., et al., “Noninvasive Quantification of LV Rotational Deformation in
Normal Humans Using Magnetic Resonance Imaging Myocardial Tagging,” Circulation,
Vol. 81, 1990, pp. 1236–1244.
[73] Marwick, T. H., “Techniques for Comprehensive Two Dimensional Echocardiographic
Assessment of Left Ventricular Systolic Function,” Heart, Vol. 89, Suppl. III,
2003, III2–III8.
[74] Baroni, M., G. Barletta, and F. Fantini, “LV Wall Motion: From Quantitative Analysis to
Knowledge-Based Understanding,” Proc. Computers in Cardiology, September 19–22,
1989, 1990, pp. 483–486.
[75] Derumeaux, G., et al., “Doppler Tissue Imaging Quantitates Regional Wall Motion During
Myocardial Ischemia and Reperfusion,” Circulation, Vol. 97, 1998, pp. 1970–1977.
280 Echocardiography: A Tool for LVSD Identification
[76] Uematsu, M., et al., “Myocardial Velocity Gradient as a New Indicator of Regional Left
Ventricular Contraction: Detection by a Two-Dimensional Tissue Doppler Imaging Tech
-
nique,” J. Am. Coll. Cardiol., Vol. 26, 1995, pp. 217–223.
[77] Seehan, F. H., et al., “Advantages and Applications of the Centerline Method for Charac
-
terizing Regional Ventricular Function,” Circulation, Vol. 74, 1986, pp. 293–305.
[78] McEachen, J. C., and J. S. Duncan, “Shape-Based Tracking of Left Ventricular Wall
Motion,” IEEE Trans. on Medical Imaging, Vol. 16, 1997, pp. 270–283.
[79] Metaxas, D., and D. Terzopoulos, “Shape and Nonrigid Motion Estimation Through
Physics-Based Synthesis,” IEEE Trans. on Pattern Anal. Machine Intell., Vol. 15, 1993,
pp. 580–591.
[80] Coppini, G., et al., “Artificial Vision Approach to the Understanding of Heart Motion,” J.
Biomed. Eng., Vol. 14, 1993, pp. 321–328.
[81] Pentland, A., and B. Horowitz, “Recovery of Nonrigid Motion and Structure,” IEEE
Trans. on Pattern Anal. Machine Intell., Vol. 13, 1991, pp. 730–742.
[82] Song, I., et al., “Tracking Regional Left Ventricular Wall Movement Using 2-D
Echocardiographic Cineloops in Concert with Synthetic M-Mode Images,” Computers in
Cardiology, September 8–11, 1996, pp. 269–272.
[83] Nishimura, R. A., et al., “Prognostic Value ofPredischarge 2-Dimensional Echocardiogram
After Acute Myocardial Infarction,” Am. J. Cardiol., Vol. 53, 1984, pp. 429–432.
[84] Bednarz, J., et al., “Color Kinesis: Principles of Operation and Technical Guidelines,”
Echocardiography, Vol. 15, 1998, pp. 21–34.
[85] Baroni, M., “Computer Evaluation of Left Ventricular Wall Motion by Means of Shape
Based Tracking and Symbolic Description,” Med. Eng. & Physics, Vol. 21, 1999,
pp. 73–85.
[86] Lawson, M. A., et al., “Accuracy of Biplane Long-Axis Left Ventricular Volume Deter-
mined by Cine Magnetic Resonance Imaging in Patients with Regional and Global Dys-
function,” Am. J. Cardiol., Vol. 77, 1996, pp. 1098–1104.
10.5 Real-Time 3-D Echocardiography 281
CHAPTER 11
Diagnosis of Heart by
Phonocardiography
Manivannan Jayapalan

11.1 Introduction

Blood flow through the human heart gives rise to vibrations and sounds that can be
acquired from the surface of the chest. These sounds contain information regarding
the condition of the heart. Two principal methods are used to investigate heart
sounds: cardiac auscultation and phonocardiography. The act of listening to sounds
produced by body vessels and organs is called auscultation. The recordings of these
sounds produced in the heart are called phonocardiograms, and the device used to
record then is called a phonocardiograph. A typical phonocardiograph and a
recording are shown in Figure 11.1.
Software-aided heart sound analysis has several advantages compared to tradi-
tional cardiac auscultation using a stethoscope. The most obvious one is the
improved reliability of diagnoses. In traditional cardiac auscultation, murmurs at
very low frequencies may not be heard; in addition, classification of heart murmurs
into innocent and pathological is strongly dependent on the listener’s experience
and training. Incontrast, ina phonocardiogram, even the low-frequency sounds can
be picked by using an improved performance sensor, and they can be better visual-
ized in a spectrogram representation. Another significant advantage is that heart
sounds can be saved as a part ofthe documentation,such as patient information and
diagnosis. When necessary, this can easily be sent as an e-mail attachment to a car-
diology specialist, who can analyze the results. Today and almost certainly even
more so in the future, the ability to exchange documents electronically is a time and
cost-efficient way to conduct a cardiologic consultation when necessary. Based on
these strong advantages, this chapter first discusses the origin of heart sounds and
the ways in which they can be captured. That discussion is followed by an explana-
tion of the different possible techniques by which heart sounds can be analyzed to
aid in diagnosis.
283