Using simple mathematical functions to simulate pathological structures - Input for digital mammography clinical trial

Radiation Protection Dosimetry

Volumn 114, Issue 1-3, 2005, Pages 424-431

  Ruschin, Mark ^a   Tingberg, A ^a   Bath M ^b   Grahn, A ^a   Hakansson M ^b   Hemdal, B ^a   Andersson, I ^a  

^a LUND UNIVERSITY   (Sweden)

^b SAHLGRENSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADIPOSE TISSUE; ALGORITHM; ARTICLE; AUTOMATION; BREAST CALCIFICATION; BREAST CANCER; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC IMAGING; DIGITAL RADIOGRAPHY; DOSIMETRY; IMAGE ANALYSIS; LINEAR SYSTEM; MAMMARY GLAND; MAMMOGRAPHY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; RADIATION EXPOSURE; SIGNAL NOISE RATIO; SIMULATION; SOLID TUMOR;

ADIPOSE TISSUE; BREAST; BREAST DISEASES; BREAST NEOPLASMS; CLINICAL TRIALS; COMPUTER SIMULATION; FEMALE; HUMANS; MAMMOGRAPHY; MODELS, STATISTICAL; MODELS, THEORETICAL; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOFTWARE; X-RAYS;

EID: 21244469864     PISSN: 01448420     EISSN: None     Source Type: Journal    
DOI: 10.1093/rpd/nch552     Document Type: Article

References (14)

1. Bordás, P., Jonsson, H., Nyström, L., Cajander, S. and Lenner, P. Early breast cancer deaths in women aged 40-74 years diagnosed during the first 5 years of organised mammography service screening in north Sweden. Breast 13(4), 276-283 (2004).
2. Larsson, L. G., Nyström, L., Wall, S., Rutqvist, L., Andersson, I., Bjurstam, N., Fagerberg, G., Frisell, J. and Tabár, L. The Swedish randomised mammography screening trials: analysis of their effect on the breast cancer related excess mortality. J. Med. Screen 3(3), 129-132 (1996).
3. Burgess, A., Jacobson, F. and Judy, P. Mass discrimination in mammography: experiments using hybrid images. Acad. Radiol. 10(11), 1247-1256 (2003).
4. Burges, A. E., Jacobson, F. L. and Judy, P. F. Lesion detection in digital mammograms. Proc. SPIE 4320, 555-560 (2001).
5. Huda, W., Ogden, K. M., Scalzetti, E. M., Dudley, E. F. and Dance, D. R. How do radiographic techniques affect mass lesion detection performance in digital mammography? Proc. SPIE 5372, 372-382 (2004).
6. Maidment, A. D. A., Karasick, T., Bakic, P. R. and Albert, M. 2-AFC observer study of shape and contrast discrimination in digital stereomammography. Proc. SPIE 5372, 62-71 (2004).
7. Bochud, F. O., Abbey, C. K. and Eckstein, M. P. Search for lesions in mammograms: statistical characterization of observer responses. Med. Phys. 31(1), 24-36 (2004).
8. Chakraborty, D. P. Predicting detection task using a visual discrimination model. Proc. SPIE 5372, 53-61 (2004).
9. Bliznakova, K., Bliznakov, Z., Bravou, V., Kolitsi, Z. and Pallikarakis, N. A three-dimensional breast software phantom for mammography simulation. Phys. Med. Biol. 48(22), 3699-3719 (2003).
10. Lado, M. J., Tahoces, P. G., Souto, M., Méndez, A. J. and Vidal, J. J. Real and simulated clustered microcalcifications in digital mammograms. ROC study of observer performance. Med. Phys. 24(9), 1385-1394 (1997).
11. Lefebvre, F., Benali, H., Gilles, R. and Di Paola, R. A simulation model of clustered breast microcalcifications. Med. Phys. 21(12), 1865-1874 (1994).
12. Rangayyan, R. M., Mudigonda, N. R. and Desautels, J. E. Boundary modelling and shape analysis methods for classification of mammographic masses. Med. Biol. Eng. Comput. 38(5), 487-496 (2000).
13. Saunders, R. S. and Samei, E. Characterization of breast masses for simulation purposes. Proc. SPIE 5372, 242-250 (2004).
14. Skiadopoulos, S., Costaridou, L., Kalogeropoulou, C.P., Likaki, E., Livos, L. and Panayiotakis, G. Simulating the mammographic appearance of circumscribed lesions. Eur. Radiol. 13(5), 1137-1147 (2003).