NONCONVENTIONAL ULTRASONOGRAPHY (POWER SPECTRUM ANALYSIS) IN THE MANAGEMENT OF RETINOBLASTOMA

被引:2
作者
FREZZOTTI, R
MOTOLESE, E
BARTOLOMEI, A
ESPOSTI, PE
ADDABBO, G
ROCCHI, S
FORT, A
MANFREDI, C
MASOTTI, L
TOTI, P
机构
[1] Institute of Ophthalmological and Neurosurgical Sciences, University of Siena
[2] Department of Electronic, Engineering University of Florence
来源
OPHTHALMIC PAEDIATRICS AND GENETICS | 1993年 / 14卷 / 02期
关键词
ULTRASONOGRAPHY; RADIOFREQUENCY SIGNAL; POWER SPECTRUM ANALYSIS;
D O I
10.3109/13816819309042905
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
The differential diagnosis among the diseases that may simulate retinoblastoma is supported by several techniques; however, none of them can give an undeniable answer. In the authors' opinion the tissue characterization by power spectrum analysis of the radiofrequency ultrasound data may play an important role in the backscattered signal spectrum while being sensitive to the spectral shift trend. In order to evaluate the patterns of regression and quiescence of retinoblastoma foci after conservative treatment the authors try to create a model of tissue characterization that provides information not available in conventional A & B scan ultrasonography about cell type, vascularization and necrosis.
引用
收藏
页码:69 / 74
页数:6
相关论文
共 9 条
[1]  
Insana M.F., Wagner R.F., Brown D.G., Hall T.J., Describing small-scale structure in random media using pulse echo ultrasound, J Acoust Soc Am, 87, 1, (1990)
[2]  
Ueda M., Ichikawa H., Analysis of an echo signal reflected from a weakly scattering volume by a discrete model of the medium, J Acoust Soc Am, 70, 6, (1981)
[3]  
Lizzi F.L., Greenbaum M., Feleppa E.J., Elbaum M., Theoretical framework for the spectrum analysis in ultrasound tissue characterization, J Acoust Soc Am, 73, 4, (1983)
[4]  
Lizzi F.L., Ostromogilisky M., Feleppa E.J., Rorke M., Yaremko M.M., Relationship of the ultrasound spectral parameters to features of tissue microstructure, IEEE Trans on UFFC, 33, 1, (1986)
[5]  
Fort A., Manfredi C., Masotti L., Rocchi S., Spectral maps by AR models as a support to conventional ultrasonic imaging, (1992)
[6]  
Kay S.M., Marple S.L., Spectrum analysis - A modern perspective, IEEE Proc, 69, 1, (1981)
[7]  
Marple S.L., Digital Spectral Analysis with Applications, (1987)
[8]  
Cheung A.T., Buchen P.W., Macaskill C., Robinson D.E., Backscattered spectrum of a randomly perturbed array of discrete scatterers, J Acoust Soc Am, 86, 1, (1989)
[9]  
Wang T., Saniie J., Jin X., Analysis of low order autoregressive models for ultrasound grain signal characterization, IEEE Trans on UFFC, 38, 2, (1991)