Improved lesion detection by level-dependent spatial summation

Ultrasonic Imaging

Volumn 17, Issue 3, 1995, Pages 197-226

  Collaris, R J ^a   Hoeks, A P G ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Image processing; lesion detection; level dependent spatial summation; Receiver Operating Characteristic; signal processing; ultrasound

Indexed keywords

IMAGE PROCESSING; REAL TIME CONTROL; SIGNAL PROCESSING; SIGNAL RECEIVERS; ULTRASONICS;

ARITHMETIC MEAN; GRAY-SCALE IMAGES; LESION DETECTION; POSTPROCESSING METHODS; REAL-TIME IMPLEMENTATIONS; RECEIVER OPERATING CHARACTERISTICS; SIGNAL DISTRIBUTION; SPATIAL SUMMATION;

ULTRASONIC APPLICATIONS;

ALGORITHM; ARTICLE; B SCAN; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; SIGNAL PROCESSING;

EID: 84965751754     PISSN: 01617346     EISSN: None     Source Type: Journal    
DOI: 10.1177/016173469501700302     Document Type: Article

References (22)

1. Magnin P.A. von Ramm O.T. Thurstone F.L., Frequency compounding for speckle contrast reduction in phased array images, Ultrasonic Imaging 4, 267–281 (1982).
2. Melton H.E. Jr. Magnin P.A., A-mode speckle reduction with compound frequencies and compound bandwidths, Ultrasonic Imaging 6, 159–173 (1984).
3. Trahey G.E. Allison J.W. Smith S.W. von Ramm O.T., A quantitative approach to speckle reduction via frequency compounding, Ultrasonic Imaging 8, 151–164 (1986).
4. Bartum R.J. Jr. Crowe H.C., Ultrasound echo averaging: A simple method for improving image perception, J. Clin. Ultrasound 8, 63–64 (1980).
5. Dickinson R.J., Reduction of Speckle in Ultrasound B-scans by Digital Processing, in Acoustical Imaging 12, Ash E.A., Hill C.R., Eds., pp. 213–224, (Plenum Press, New York, 1982).
6. Bamber J.C. Daft C., Adaptive filtering for reduction of speckle in ultrasonic pulse-echo images, Ultrasonics 24, 41–44 (1986).
7. Loupas T. McDicken W.N. Allan P.L., An adaptive weighted median filter for speckle suppression in medical ultrasonic images, IEEE Trans. Circuits Systems 36, 129–135 (1989).
8. Koo J.I. Park S.B., Speckle reduction with edge preservation in medical ultrasonic images using a homogeneous region growing mean filter (HRGMF), Ultrasonic Imaging 13, 211–237 (1991).
9. Kotropoulos C. Pitas I., Optimum nonlinear signal detection and estimation in the presence of ultrasonic speckle, Ultrasonic Imaging 14, 249–275 (1992).
10. Verhoeven J.T.M. Thijssen J.M., Improvement of lesion detectability by speckle reduction filtering: a quantitative study, Ultrasonic Imaging 15, 181–204 (1993).
11. Thijssen J.M. Oosterveld B.J. Wagner R.F., Gray level transforms and lesion detectability in echographic images, Ultrasonic Imaging 10, 171–195 (1988).
12. Green D.M. Swets J.A., Signal Detection Theory and Psychophysics, (Peninsula Publishing, Los Altos, 1988).
13. Swets J.A. Pickett R.M., Evaluation of Diagnostic Systems (Academic Press, New York, 1982).
14. Wagner R.F., Fundamentals and Applications of Signal Detection Theory in Medical Imaging, in Proc. SPIE 626, pp. 755–761 (1986).
15. Smith S.W. Wagner R.F. Sandrik J.M. Lopez H., Low contrast detectability and contrast/detail analysis in medical ultrasound, IEEE Trans. Sonics Ultrasonics 30, 164–173 (1983).
16. Wagner R.F. Brown D.G., Unified SNR analysis of medical imaging systems, Phys. Med. Biol. 6, 489–518 (1985).
17. Pitas I. Venetsanopoulos A.N., Edge detectors based on nonlinear filters, IEEE Trans. Pattern Anal. Machine Intelligence 8, 538–550 (1986).
18. Collaris R.J. Hoeks A.P.G., Ultrasonic B-mode image enhancement based on level-dependent spread functions, Ultrasonic Imaging 16, 205–230 (1994).
19. Wagner R.F. Smith S.W. Sandrik J.M. Lopez H., Statistics of speckle in ultrasound B-scans, IEEE Trans. Sonics Ultrasonics 30, 156–163 (1983).
20. Bamber J.C. Dickinson R.J., Ultrasonic B-scanning: a computer simulation, Phys. Med. Biol. 25, 463–479 (1980).
21. Daniel W.W., Applied Nonparametric Statistics (Houghton Mifflin Company, Boston, 1978).
22. Levine M.D., Vision in Man and Machine (McGraw-Hill, New York, 1985).