In this study, the estimation of ultrasound parameters is evaluated for in vivo differentiation of intraocular melanomas. For this purpose, both tissue and image parameters of the ultrasound signal are considered. These parameters comprised, respectively, the frequency dependent attenuation and backscattering coefficient of the melanoma tissue, and the first and second-order statistics of the amplitude-modulated and phase-derivative images of the melanomas.
A diffraction correction procedure has been applied prior to the estimation of the parameters to correct the ultrasound signals for the echographic equipment used and for the various distances of the region-of-interest to the transducer. In addition, a preprocessing to select a homogeneous region from the tumours was implemented to obtain consistent estimates of the ultrasound parameters, because the accuracy and the precision of the parameters would be greatly reduced by the inhomogeneity of the melanoma tissue.
The estimation methods are evaluated by means of the accuracy and precision of the parameters estimated from simulated ultrasound data and data obtained from a tissue-mimicking phantom. The mutual correlations of the parameters are discussed for the ultrasound data obtained from the melanomas.
This study enabled a preselection of the indepedent ultrasound parameters that could be used in a discriminant analysis to perform a differentiation of intraocular melanomas. The sensitivity and specificity of differentiating spindle cell type from mixed-epitheloid meleanomas were 92 and 89 percent, respectively.
VerbeekA.M., Differential diagnosis of intraocular neoplasms with ultrasonography, Ultrasound Med. Biol.11, 163–170 (1985).
2.
ColemanD.J.LizziF.L.SilvermanR.H.HelsonL.TorpeyJ.H.RondeauM.J., A model for acoustic characterization of intraocular tumors, Invest. Ophthalmol. Vis. Sci.26, 545–550 (1985).
3.
FeleppaE.J.LizziF.L.ColemanD.J., Ultrasonic analysis for ocular tumor characterization and therapy assessment, News Physiol. Science3, 193–197 (1988).
4.
RomijnR.L.ThijssenJ.M.van DelftJ.L.de Wolff-RouendaalD.van BestJ.OosterhuisJ.A., In vivo ultrasound backscattering estimation for tumour diagnosis: an animal study, Ultrasound Med. Biol.15, 471–479 (1989).
5.
FerrariL.A.JonesJ.P.GonzalezV.BehrensM., Acoustical Imaging Using the Phase of Echowaveforms, in Acoustical Imaging 12, AshE.A.HillC.R., eds., pp. 635–641 (Plenum Press, New York, 1982).
6.
SeggieD.A.DohertyG.M.LeemanS.FerrariL.A., in Acoustical Imaging 14, BerkhoutA.F.RidderJ.van der WalL.F., eds., pp. 487–496 (Plenum Press, New York, 1985).
OosterveldB.J.ThijssenJ.M.RomijnR.L., Phase dervative imaging II: effects of beam diffraction and of scatterer density, Ultrasonic Imaging11, 153–174 (1989).
9.
LaugierP.BergerG.FinkM.PerrinJ., Specular reflector noise: effect and correction for in vivo attenuation estimation, Ultrasonic Imaging7, 277–295 (1985).
10.
FeleppaE.J.LizziF.L.ColemanD.J.YaremkoM.M., Diagnostic spectrum analysis in ophthalmology: a physical perspective, Ultrasound Med. Biol.12, 623–631 (1986).
11.
RomijnR.L.ThijssenJ.M.van BeuningenG.W.J., Estimation of scatterer size from backscattered ultrasound: a simulation study, IEEE Trans. UFFC36, 593–606 (1989).
12.
WagnerR.F.SmithS.W.SandrikJ.M.LopezH., Statistics of speckle in ultrasound B-scans, IEEE Trans. on Sonics and Ultrasonics30, 156–163 (1983).
13.
OosterveldB.J.ThijssenJ.M.VerhoefW.A., Texture of B-mode echograms: 3-D simulations and experiments of the effects of diffraction and scatterer density, Ultrasonic Imaging7, 142–160 (1985).
14.
WagnerR.F.InsanaM.F.BrownD.G., Statistical properties of radiofrequency and envelope-detected signals with applications to medical ultrasound, J. Opt. Soc. Am. A4, 910–922 (1987).
van GoolC.A.M.RomijnR.L.ThijssenJ.M.VerbeekA.M., Parametric images of intraocular melanomas, (1990) (in preparation).
17.
PapoulisA., Probability, Random Variables and Stochastic Processes (McGraw-Hill, New York, 1965).
18.
WhalenA.D., Detection of Signals in Noise (Acad. Press, New York, 1971).
19.
ThijssenJ.M.OosterveldB.J.RomijnR.L., Phase derivative imaging HI: theoretical derivation of first and second-order statistics, Ultrasonic Imaging12, 1–17 (1990).
20.
AngelsenB.A.J., Instantaneous frequency, mean frequency, and variance of mean frequency estimators for ultrasonic blood velocity Doppler signals, IEEE Trans. Biomed. Engng., 733–741 (1981).
21.
KucR.SchwartzM.Von MicskyL., Parametric Estimation of the Acoustic Attenuation Coefficient Slope for Soft Tissue, in 1976IEEE Ultrasonics Symposium Proceedings, pp. 44–47, (IEEE Cat. No. 76CH1120-5SU).
22.
DinesK.A.KakA.C., Measurement and Reconstruction of Ultrasonic Parameters for Diagnostic Imaging, in 1976Research Report, School of Electrical Engineering, Purdue University, West Lafayette, Indiana, TR.EE 77–14.
23.
VerhoefW.A.CloostermansM.J.T.M.ThijssenJ.M., Diffraction and dispersion effects on the estimation of ultrasound attenuation and velocity in biological tissues, IEEE Trans. Biomed. Engng.32, 521–529 (1985).
24.
KucR., Bounds on estimating the acoustic attenuation of small tissue regions from reflected ultrasound, Proc. IEEE73, 1159–1168 (1985).
25.
BergerG.LaugierP.FinkM.PerrinJ., Optimal precision in ultrasound attenuation estimation and application to the detection of Duchenne muscular dystrophy carriers, Ultrasonic Imaging9, 1–17 (1987).
26.
TsaoJ.MorimuraS.ItohH.ItohT.KonishiT., Comparisons of images derived from amplitude, mean frequency and attenuation coefficient of pulse echo signals, Jpn. J. Med. Ultrasonics14, 393–406 (1987).
27.
MorseP.M.IngardK.U., Theoretical Acoustics (McGraw-Hill, New York, 1968).
28.
ChiversR.C., The scattering of ultrasound by human tissues - some theoretical models, Ultrasound Med. Biol.3, 1–13 (1977).
29.
NicholasD., in Recent Advances in Ultrasound in Biomedicine, WhiteD.N. ed., Chapt. 1, pp. 1–28. (Research Studies Press, Oregon, 1977).
30.
BamberJ.C., Theoretical modelling of the acoustic scattering structure of human liver, Acoustic Letters3, 114–119 (1979).
31.
UedaM.IchikawaH., Analysis of an echo signal reflected from a weakly scattering volume by a discrete model of the medium, J. Acoust. Soc. Am.70, 1768–1775 (1981).
32.
UedaM.OzawaY., Spectral analysis of echoes for backscattering measurement, J. Acoust. Soc. Am.77, 38–47 (1985).
van den AarssenM.VerhoefW.A.ThijssenJ.M., Influence of absorbing and scattering media on the propagation of ultrasound, J. Acoust. Soc. Am.85, 567–575 (1989).
35.
CloostermansM.J.ThijssenJ.M., A beam corrected estimation of the frequency dependent attenuation of biological tissues from backscattered ultrasound, Ultrasonic Imaging5, 136–147 (1983).
OosterveldB.J.ThijssenJ.M.HartmanP.C.RomijnR.L.RosenbuschG.J.E., Ultrasound attenuation and B-mode texture analysis of diffuse liver disease: methods and preliminary results, Physics in Medicine and Biology, (1990) (submitted).
38.
InsanaM.F., private communications (1988).
39.
CloostermansM.J.VerhoefW.A.ThijssenJ.M., Generalized description and tracking estimation of the frequency dependent attenuation of ultrasound in biological tissues, Ultrasonic Imaging7, 133–141 (1985).
40.
LizziF.L.GreenebaumM.FeleppaE.J.ElbaumM.ColemanD.J., Theoretical framework for spectrum analysis in ultrasonic tissue characterization, J. Acoust. Soc. Am.73, 1366–1373 (1983).
41.
LizziF.L.OstromogilskyM.FeleppaE.J.RorkeM.C.YaremkoM.M., Relationship of ultrasonic spectral parameters to features of tissue microstructure, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control33, 319–329 (1986).
42.
InsanaM.F.WagnerR.F.GarraB.S.BrownD.G., Analysis of ultrasound image texture via generalized Rician statistics, J. Opt. Eng.25, 743–748 (1986).
43.
ParkerK.J.LernerR.M.WaagR.C., Comparison of techniques for in vivo attenuation measurements, IEEE Trans. on Biomed. Eng.35, 1064–1068 (1988).
44.
AufrichtigD.LottenbergS.HoefsJ.FerrariL.A.FriedenbergR.M.KanelG.Cole-BeugletC.LeemanS., Frequency demodulated US: evaluation in the liver, Radiology160, 59–64 (1986).
45.
RallsP.W.JohnsonM.B.KanelG.DobalianD.M.CollettiP.M.BoswellW.D.RadinD.R.HallsJ.M., FM Sonography in diffuse liver disease: prospective assessment and blinded analysis, Radiology161, 451–454 (1986).
