Abstract
Two observer experiments were performed to evaluate the performance of wavelet enhancement and compression methodologies for digitized mammography. One experiment was based on the localization response operating characteristic (LROC) model. The other estimated detection and localization accuracy rates. The results of both studies showed that the two algorithms consistently improved radiologists’ performance although not always in a statistically significant way. An important outcome of this work was that lossy wavelet compression was as successful in improving the quality of digitized mammograms as the wavelet enhancement technique. The compression algorithm not only did not degrade the readers’ performance but it improved it consistently while achieving compression rates in the range of 14 to 2051:1. The proposed wavelet algorithms yielded superior results for digitized mammography relative to conventional processing methodologies. Wavelets are valuable and diverse tools that could make digitized screen/film mammography equivalent to its direct digital counterpart leading to a filmless mammography clinic with full inter- and intra-system integration and real-time telemammography.
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References
Unser, M., Alroubi, A., Laine, A. (eds.): IEEE Trans. Med. Imaging, Special Issue on Wavelets in Medical Imaging (2003)
Kallergi, M., Clarke, L.P., Qian, W., et al.: Interpretation of calcifications in screen/film, digitized, and wavelet-enhanced, monitor displayed mammograms: an ROC study. Acad. Radiol. 3, 285–293 (1996)
Qian, W., Clarke, L.P., Kallergi, M., Clark, R.A.: Tree structured nonlinear filters in digital mammography. IEEE Trans. Med. Imaging 13, 25–36 (1994)
Heine, J.J., Kallergi, M., Chetelat, S.M., Clarke, L.P.: Multiresolution wavelet approach for sepa-rating the breast region from the background in high resolution digital mammography. In: Karssemeijer, N., Thijssen, M., Hendricks, J., van Erning, L. (eds.) Digital Mammography: proceedings of the 4th international workshop on digital mammography, pp. 295–298. Kluwer, The Netherlands (1998)
Heine, J.J., Velthuizen, R.P.: A statistical methodology for mammographic density detection. Med. Phys. 27, 2644–2651 (2000)
Lucier, B.J., Kallergi, M., Qian, W., et al.: Wavelet compression and segmentation of mammographic images. J. Digit Imaging 7(1), 27–38 (1994)
Yang, Z., Kallergi, M., DeVore, R., et al.: The effect of wavelet bases on the compression of digital mammograms. IEEE Eng. Med. Biol. 14(5), 570–577 (1995)
Kallergi, M., Heine, J.J., Berman, C.G., Hersh, M.R., Romilly, A.P., Clark, R.A.: Improved interpretation of digitized mammography with wavelet processing: A localization response operating characteristic study. AJR 182, 697–703 (2004)
Kallergi, M., Lucier, B.J., Berman, C.G., Hersh, M.R., Kim, J.J., Szabunio, M.S., Clark, R.A.: High-Performance Wavelet Compression for Mammography: Localization Response Oper-ating Characteristic Evaluation. Radiology 238, 62–73 (2006)
Heine, J.J., Deans, S.R., Cullers, D.K., Stauduhar, R., Clarke, L.P.: Multiresolution statistical analy-sis of high resolution digital mammograms. IEEE Trans. Med. Imaging 16, 503–515 (1997)
Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)
Burgess, A.E.: Comparison of receiver operating characteristic and forced choice observer performance measurement methods. Med. Phys. 22(5), 643–655 (1995)
Swensson, R.G.: Unified measurement of observer performance in detecting and localizing target objects on images. Med. Phys. 23, 1709–1725 (1996)
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Kallergi, M., Heine, J.J., Lucier, B.J. (2006). Observer Evaluations of Wavelet Methods for the Enhancement and Compression of Digitized Mammograms. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_65
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DOI: https://doi.org/10.1007/11783237_65
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