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Enhancing digital cephalic radiography with mixture models and local gamma correction.
IEEE Trans Med Imaging. 2006 Jan; 25(1):113-21.IT

Abstract

We present a new algorithm, called the soft-tissue filter, that can make both soft and bone tissue clearly visible in digital cephalic radiographies under a wide range of exposures. It uses a mixture model made up of two Gaussian distributions and one inverted lognormal distribution to analyze the image histogram. The image is clustered in three parts: background, soft tissue, and bone using this model. Improvement in the visibility of both structures is achieved through a local transformation based on gamma correction, stretching, and saturation, which is applied using different parameters for bone and soft-tissue pixels. A processing time of 1 s for 5 Mpixel images allows the filter to operate in real time. Although the default value of the filter parameters is adequate for most images, real-time operation allows adjustment to recover under- and overexposed images or to obtain the best quality subjectively. The filter was extensively clinically tested: quantitative and qualitative results are reported here.

Authors+Show Affiliations

Applied Intelligent System Laboratory, Computer Science Department, University of Milan, 20135 Milan, Italy. frosio@dsi.unimi.itNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16398419

Citation

Frosio, I, et al. "Enhancing Digital Cephalic Radiography With Mixture Models and Local Gamma Correction." IEEE Transactions On Medical Imaging, vol. 25, no. 1, 2006, pp. 113-21.
Frosio I, Ferrigno G, Borghese NA. Enhancing digital cephalic radiography with mixture models and local gamma correction. IEEE Trans Med Imaging. 2006;25(1):113-21.
Frosio, I., Ferrigno, G., & Borghese, N. A. (2006). Enhancing digital cephalic radiography with mixture models and local gamma correction. IEEE Transactions On Medical Imaging, 25(1), 113-21.
Frosio I, Ferrigno G, Borghese NA. Enhancing Digital Cephalic Radiography With Mixture Models and Local Gamma Correction. IEEE Trans Med Imaging. 2006;25(1):113-21. PubMed PMID: 16398419.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Enhancing digital cephalic radiography with mixture models and local gamma correction. AU - Frosio,I, AU - Ferrigno,G, AU - Borghese,N A, PY - 2006/1/10/pubmed PY - 2006/2/2/medline PY - 2006/1/10/entrez SP - 113 EP - 21 JF - IEEE transactions on medical imaging JO - IEEE Trans Med Imaging VL - 25 IS - 1 N2 - We present a new algorithm, called the soft-tissue filter, that can make both soft and bone tissue clearly visible in digital cephalic radiographies under a wide range of exposures. It uses a mixture model made up of two Gaussian distributions and one inverted lognormal distribution to analyze the image histogram. The image is clustered in three parts: background, soft tissue, and bone using this model. Improvement in the visibility of both structures is achieved through a local transformation based on gamma correction, stretching, and saturation, which is applied using different parameters for bone and soft-tissue pixels. A processing time of 1 s for 5 Mpixel images allows the filter to operate in real time. Although the default value of the filter parameters is adequate for most images, real-time operation allows adjustment to recover under- and overexposed images or to obtain the best quality subjectively. The filter was extensively clinically tested: quantitative and qualitative results are reported here. SN - 0278-0062 UR - https://www.unboundmedicine.com/medline/citation/16398419/Enhancing_digital_cephalic_radiography_with_mixture_models_and_local_gamma_correction_ DB - PRIME DP - Unbound Medicine ER -