3455

The diagnostic value of three-dimensional ultrasound indetecting the abnormality on a fetus’ faceYun D, Yin ZX, Women and Child Health Hospital, Dongpo District,Meishan, Sichuan, China

Objectives: To assess the value of three-dimensional ultrasound indiagnosing the abnormality on a fetus’ face.Methods: Check 3600 fetus of 22 to 42 weeks old by using SA-8000Live three-dimensional ultrasound.Results: There were 21 fetus whose faces were abnormal: 14 cleft lip(contains cleft palate), two monorhinic fetus, two ocular hypotelorism,one monoculus, two anencephalus. All the cases were confirmed afterinduced labor or delivery.Conclusions: Three-dimensional ultrasound can display the structureof the fetus’ face directly and vividly, so can make up the insufficiencyof two-dimensional ultrasound, which can not show the abnormalityfeatures clearly. Hence, three-dimensional ultrasound is the first choicein detecting the abnormality on a fetus’ face.

3456

Application of data warehousing and data mining in ultrasoundquality controlXiao L, Yan L, Lan PY, Qiang L, Zhou QY, West China Hospital ofSichuan University, China; Shijinshi Soft Company, Chengdu, China

Objectives: To discuss the application of data warehousing and datamining in ultrasound practice quality control.Methods: To fully and effectively utilize the historical data by apply-ing data warehousing and data mining in ultrasound workstation.Results: These two techniques bring higher working efficiency andlower misdiagnosis rate, save more human resource and time, bringmore convenience to teaching and research work.Conclusions: Data warehousing and data mining can make ultrasoundpractice more efficient.

3457

Sonographic texture analysis for the computer-aided diagnosis ofthe liver cirrhosisJeong J-W, Lee S, Lee JW, Yoo D-S, Kim S, Ahn Y-S, Cho J-S,ETRI, Korea; Daejon Veterans Hospital, Korea; Chungnam NationalUniversity Hospital, Korea

Objectives: Various statistical classifiers including the textural param-eters are tried for the computer-aided diagnosis of the liver cirrhosisusing the ultrasound (US) images.Methods: The gray scale B-mode US images of 93 patients with/without liver cirrhosis were gathered and diagnosed by two experi-enced radiologists. The textural characteristics of the liver and spleenparenchyma is computed and compared with the clinical diagnosis. Therepresentative coarseness levels (RCLs) were determined from thevarious statistical parameters linearly combined with the coefficients bythe Levenberg-Marquardt minimization in order to improve the corre-lation with the clinical results.Results: The classification among clinical diagnostic results of the livercirrhosis is performed using the RCLs representing the US hepatolienaltextural contrast. The obtained RCLs are correlated fairly well with theclinical diagnostic results, and the false-negative rate is obtained to beabout 7%. Receiver operating characteristics analysis reveals Az �0.96 showing their effectiveness for the diagnosis.Conclusions: The textural characteristics of US abdominal imageshave been investigated for the computer-assisted diagnosis of the livercirrhosis giving the promising results for the computer-assisted diag-nosis of the liver cirrhosis.

3458

Computer-aided diagnosis on ultrasound images fordifferentiating and grading of chronic liver diseaseCho J-S, Shin K-S, Ahn Y-S, Jeong J-W, Chungnam NationalUniversity Hospital, Korea; Daejeon Veterans Hospital, Korea;Electronics and Telecommunications Research Institute, Korea

Objectives: To assess the usefulness of computer-aided diagnosis(CAD) in evaluating parenchymal fibrosis on ultrasound (US) imagesof chronic liver disease (CLD).Methods: Sixty-five patients with CLD (chronic hepatitis and livercirrhosis diagnosed by scintigram, CT and laboratory data) and 28normal volunteers for control were included in this study. US images ofthe liver were analyzed on PACS by consensus of two radiologists. USimages were classified to four grades (normal, mild, moderate andsevere) according to parenchymal coarseness. CAD using various tex-tural parameters (ROI; 50 * 50 pixel) on US images was done. Therepresentative coarseness levels on US images were determined fromvarious statistical parameters. The correlation between US diagnosis byradiologists and CAD data was evaluated.Results: US diagnosis were normal liver (n � 28), mild CLD (n � 21),moderate CLD (n � 34) and severe CLD (n � 10). CAD in differen-tiating normal from CLD was well correlated with US diagnosis (p �0.0001). There were statistically significant in differentiation betweennormal and mild CLD (p � 0.001); mild CLD and moderate CLD (p �0.01); moderate CLD and severe CLD (p � 0.27).Conclusions: The proposed CAD program on US images may be usedas a complementary tool to the radiologists in evaluating CLD.

3459

The ultrasonic image texture analysis of liver lesionsTaton G, Rokita E, Tabor Z, Kulig J, Kolodziejczyk P, Klek S,Urbanik A, Jagiellonian University, Department of Biophysics,Poland; Jagiellonian University, 1st Department of General and GISurgery, Poland; Jagiellonian University, Chair and Department ofRadiology, Poland

Objectives: Presented study was aimed to evaluate the usefulness ofthe quantitative texture analysis for liver cancer diagnosis on the basisof the routine two-dimensional (2D) ultrasonic images.Methods: Thirteen liver lesions (10 malignant and three benign) wereinvestigated with ultrasound. The series of digital images were col-lected and analyzed with the software prepared in our laboratories. Toextract the texture characteristic spatial graylevel dependency (SGLD)matrices were calculated. The results were analyzed for the possibledifferentiation between benign and malignant lesions.Results: A variety of parameters was extracted from SGLD matrices.Angular second moment, contrast and entropy exhibit the most pro-nounced differences between investigated lesions. The values of pa-rameters correlate well with histological appearance of the lesions. Thedifferentiation ability depends on the lesion, acquired image size andquality.Conclusions: The ultrasonic image texture analysis can be helpful indifferentiation of malignant and benign hepatic lesions. The furtherimprovement in the method performance could be achieved if three-dimensional images instead of 2D would be used. Further investiga-tions are directed also into the increase of investigated lesions number.

Abstracts P269