Correlations between acoustic and texture parameters from RF and B-mode liver echograms

Sonohistology for the computerized differentiation of parotid gland tumors

“…However, these o n e d a c i h p r o m o n o m : e s a c e v i t a g e n y r a l p m e o n e d a l l e c l a s a b : e s a c e v i t i s o p y r a l p m e effects should also not be ignored when using texture parameters. Because the information of tissue parameters of different parameter groups (e.g., spectral parameters, first-order texture parameters or second-order texture parameters) is highly uncorrelated, the combination of tissue parameters originating from different parameter groups can lead to better classification results Thijssen et al 1993;Schmitz et al 1994Schmitz et al , 1999Siebers et al 2002). From our point of view, only a combination of different groups of parameters (e.g., spectral and textural parameters) can provide the classification system with enough information to support an accurate and reliable decision.…”

Comparison of attenuation and liver‐kidney contrast of liver ultrasonographs with histology and biochemistry in dogs with experimentally induced steroid hepatopathy

“…However, diagnosis of diffuse disease conditions is usually more difficult. Extensive research has been devoted to quantitative imaging of diffuse liver disease in humans (11,19). To a large extent this has been an attempt to more accurately diagnose cirrhosis sonographically.…”

“…Vet Quart 1998; 20: [18][19][20][21][22] Accepted for publication:June 15, 1997. parenchyma structure of the liver and therefore it can be an important adjunct to evaluate diffuse parenchyma diseases of the liver (1, 8,15). The present study aims to correlate glucocorticoid hepatopathy as determined by histology and biochemistry with digital analysis of hepatic ultrasonograms in dogs on glucocorticoid treatment.…”

Transrectal real-time elastography of the prostate: Normal patterns

“…Over the years, various authors have evaluated noninvasive methods for distinguishing different types of tissues on the basis of numerical variables extrapolated from images [19,20]. Elastography, whose underlying principles were first described by Ophir and colleagues in 1991, seems to be one of the methods best suited for systematic use [21].…”