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Manos Papadakis

Publications and source records attributed to Manos Papadakis.

3 recordsLinked to original sources

Image denoising using a tight frame.

We present a general mathematical theory for lifting frames that allows us to modify existing filters to construct new ones that form Parseval frames. We apply our theory to design nonseparable Parseval frames from separable (tensor) products of a piecewise linear spline tight frame. These new frame systems incorporate the weighted average operator, the Sobel operator, and the Laplacian operator in directions that are integer multiples of 45 degrees. A new image denoising algorithm is then proposed, tailored to the specific properties of these new frame filters. We demonstrate the performance of our algorithm on a diverse set of images with very encouraging results.

Algorithms↗

Usefulness of multidetector computed tomography for noninvasive evaluation of coronary arteries in asymptomatic patients.

This editorial addresses the capabilities, limitations, and potential of multidetector computed tomography (MDCT) for the noninvasive evaluation of coronary arteries in asymptomatic patients. The quantification of coronary calcium with MDCT correlates highly with that obtained by electron-beam computed tomography, but to date, neither has the capability of assessing the distribution of various morphologic patterns of calcium and their relation to other "soft" plaque components. Although MDCT can assess the thickness of the atherosclerotic wall and can readily identify calcific deposits, further plaque characterization (e.g., lipid pools and fibrous tissue), a prerequisite for the identification of most vulnerable lesions, is not yet a workable reality, even with the 64-slice machines in their current configuration. The noninvasive identification by MDCT of plaque components subtending vulnerable lesions will require additional improvement in the primary instrumentation, the use of hybrid constructs (e.g., with positron emission tomography and magnetic resonance imaging), the development of novel methods of post-acquisitional analysis to extract latent images of plaque components (e.g., signal analysis based on 3-dimensional wavelets), or the adaptation of molecular imaging techniques at the cell and gene levels to computed tomography. Such unique approaches may soon contribute a long list of additional parameters that could be evaluated on a noninvasive basis as predictors of acute coronary syndromes and overall patient vulnerability.

Coronary Angiography↗

Sputum carcinoembryonic antigen, neuron-specific enolase and cytokeratin fragment 19 levels in lung cancer diagnosis.

OBJECTIVE: The aim of the present study was to examine the impact of sputum carcinoembryonic antigen (CEA), neuron-specific enolase (NSE) and cytokeratin fragment 19 (CYFRA 21-1) levels in lung cancer diagnosis and to compare the diagnostic usefulness of sputum assays with that of serum assays. METHODOLOGY: Forty-seven patients with lung cancer and 62 with benign lung disease were studied. Tumour marker levels in sputum (sp.) and serum (ser) were measured by immunoradiometric assays. RESULTS: Sputum and serum tumour marker levels were significantly higher in lung cancer than in benign disease. When the specificity was 95%, the sensitivity was 57%, 43%, 36%, 30%, 28% and 19%, for spCEA, serCYFRA 21-1, spCYFRA 21-1, serCEA, serNSE, and spNSE, respectively. Bayesian analysis showed that the best predictive values correspond to spCEA and serCYFRA 21-1. The maximum overall gain was obtained in pretest probability of 0.35 for both spCEA and serCYFRA 21-1, with predictive values of 84% and 80% for spCEA and serCYFRA 21-1, respectively. CONCLUSION: Sputum tumour marker levels were no more useful than the serum levels in lung cancer diagnosis. SpCEA offered the best predictive values but these were still not sufficiently satisfactory for spCEA to be proposed for routine use.

Adult↗