The ultrasound image texture of liver tumors

ABSTRACTS,

ULTRASONIC IMAGING AND TISSUE CHARACTERIZATION

SYMPOSIUM

difference between the tissue classes, the parameter did level not work. sector, In our study, we compared a phased array and 1 inear scanner, using mechanical sector, compound scanner, the mean a liver tissue-mimicking phantom, and eval uat i ng level in several regions of interest at frequencies of 9-y 13 point grey level correction function for the 3.5 and 5 MHz. 3.5 MHz transducer was evaluated and all ultrasonic images of We then calculated all our HP liver study were corrected. our parameters for the new images and compared the new values to the old ones of the uncorrected pictures. The results will be presented and discussed. previous abstract. Cl1 I. Zuna et al, THE Zuna~,

ULTRASOUND A. Lorenzl,

Volk', *Institute

G.

German

Cancer

IMAGE G.

Kaick%, van of Nuclear Research

TEXTURE Layer’,

OF D.

W.J. Medicine

LIVER TUMORS, Schlaps+,

Lor enz a , and and “Dept. im Neuenheimer

Center,

U.

Rathi, Zerban”, Bannasch’, J.P. of Cytopatholoqy H.

Feld

280,

I. J . ,

D-6900

Heidelberg, FRG. Structural, as well as chemical tissue properties, considerably influence the texture of ultrasound B-mode images. Statistical texture analysis allows for a direct comparison of ultrasound images and their parameter-based corresponding histology. In an animal experiment, tissue features such as total lipid, connective t i ssue and water content can be evaluated by chemical analysis. Experimentally-illed rats and normal controls (implanted hepatomas and chemically-induced cholangio carcinomas) were using a Picker Echoview 80 L compound scanner scanned %I y&3 with a 5 MHz short focused probe interfaced to a PDP ii/34 mini computer. Clfter scanning, the animals were sacrificed and the 1 i ver removed for chemical and histological eval uat i on. The histoloqical images were read into a VAX 11/780 computer by means of a microscope and TV camera. Compared to normals, the hepatomas showed a significant increase in water (82 percent versus 64 percent) but no changes in fat and connective tissue content. The cholangio carcinomas exhibited a normal fat, high water (80 percent) and a threefold increase in connective tissue content. Depending on the water content and the amount and structure of connect i ve tissue, we were able to demonstrate a relationship between total tissue water, histological image parameters, and ultrasound B-scan parameters. The ultrasound image texture of normal livers and hepatomas were easily differentiated by parameters deriving from the first order grey level statistics behavior is whose significantly related to the t i ssue water content. Parameters from the second order level 9-y statistics clearly separate the remaining t i ssue classes. These parameters, however, are highly dependent on tissue water content as well as on texture features describing the structural properties of the histological image. OF NEAREST NEIGHBOR STATISTICS FOR ULTRCISGNIC CLASSIFICATION, Jason C. Birnholz, Rush Medical College, Chicago, IL 60612. Ultrasonic image “texture” pat terns are used diagnostically as a guide to tissue histopathology, even though their genesis involves nonanatomic, often uncontrolled, interactions introduced during wave propagation, acoustoCOLOR TEXTURE

MAPPING

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