Texture analysis of ultrasound liver images with contrast agent to characterize the fibrosis stage

Proceedings - IEEE Ultrasonics Symposium

Volumn , Issue , 2008, Pages 24-27

  Bassset, Olivier ^a   Duboeuf, François ^a   Delhay, Bertrand ^a   Brusseau, Elisabeth ^a   Cachard, Christian ^a   Tasu, Jean Pierre ^b  

^a UNIVERSITÉ DE LYON   (France)

^b POITIERS UNIVERSITY HOSPITAL   (France)

Author keywords

Contrast agent; Liver fibrosis; Tissue characterization; Ultrasound

Indexed keywords

CHARACTERIZATION; IMAGE ANALYSIS; TISSUE; ULTRASONICS;

CONTRAST AGENT; DIFFERENT STAGES; IMAGE TEXTURE ANALYSIS; LIVER FIBROSIS; STATISTICAL SIGNIFICANCE; TISSUE CHARACTERIZATION; ULTRASOUND IMAGES; VISUAL EVALUATION;

IMAGE TEXTURE;

EID: 67649371659     PISSN: 10510117     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ULTSYM.2008.0007     Document Type: Conference Paper

References (11)

1. Wynn TA. Cellular and molecular mechanisms of fibrosis. J Pathol. 214:199-210; 2008. (Pubitemid 351160157)
2. Rockey DC. Noninvasive assessment of liver fibrosis and portal hypertension with transient elastography. Gastroenterology. 134:8-14; 2008 (Pubitemid 350309358)
3. Talwalkar JA, Yin M, Fidler JL, Sanderson SO, Kamath PS, Ehman RL. Magnetic resonance imaging of hepatic fibrosis: emerging clinical applications. Hepatology. 47:332-42; 2008. (Pubitemid 351171070)
4. Kadah YM, Farag AA. Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images. IEEE TMI. 15: 466-478, 1996. (Pubitemid 126780336)
5. Yey WC, Huang SW, Li PC. Liver fibrosis grade classification with Bmode ultrasound. UMB, 29: 1229-1235, 2003.
6. Yoshida H, Casalino DD, Keserci B, Coskun A, Ozturk O, Savranlar A. Wavelet-packet-based texture analysis for differentiation between benign and malignant liver tumors in ultrasound images. Phys. Med. Biol. 48 : 3735-3753, 2003 (Pubitemid 37483478)
7. T.R. Reed, H. Du Buff, "A review of recent texture segmentation and feature extraction techniques", CVGIP: Image understanding 57(3), 359- 372; 1993. (Pubitemid 23382040)
8. Boukerroui D, Baskurt A, Noble A, Basset O, "Segmentation of ultrasound images - Multiresolution 2D and 3D algorithm based on global and local statistics. " Pattern Recog. Letters, 24: 779-790, 2003. (Pubitemid 35337543)
9. Dutt, V., Greenleaf, J. F., Speckle analysis using signal to noise ratios based on fractional order moments, Ultrason. Imaging, volume 17, no. 4, pp. 251- 268; 1995. (Pubitemid 26066430)
10. Georgiou, G., Cohen, F. S., Statistical characterization of diffuse scattering in ultrasound images, IEEE Trans. Ultrason., Ferroelect., Freq. Contr., volume 45, no. 1, pp. 57-64, 1998. (Pubitemid 128748666)
11. Shankar, P., et al., Use of non-rayleigh statistics for the identification of tumors in ultrasonic b-scans of the breast, IEEE Trans. Mil. Electron., volume 12, pp. 687-692, 1993. (Pubitemid 2022622)