I3E Technologies, #23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001. IEEE PROJECTS AVAILABLE, NON-IEEE PROJECTS AVAILABLE, APPLICATION BASED PROJECTS AVAILABLE, MINI-PROJECTS AVAILABLE.

1. CURVELET BASED CONTRAST ENHANCEMENT IN FLUOROSCOPIC
SEQUENCES
ABSTRACT
Image guided interventions have seen growing interestin recent years. The use of X-rays
for the procedure impelslimiting the dose over time. Image sequences obtained thereby exhibit
high levels of noise and very low contrasts. Hence, thedevelopment of efficient methods to
enable optimal visualizationof these sequences is crucial. We propose an original denoising
method based on the curve let transform. First, we apply a recursivetemporal filter to the curvelet
coefficients. As some residualnoise remains, a spatial filtering is performed in the second
step,which uses a magnitude-based classification and a contextualcomparison of curvelet
coefficients. This procedure allows to denoise the sequence while preserving low-contrasted
structures,but does not improve their contrast. Finally, a third step is carriedout to enhance the
features of interest. For this, we propose aline enhancement technique in the curvelet domain.
Indeed, thinstructures are sparsely represented in that domain, allowing a fastand efficient
detection. Quantitative and qualitative evaluationsperformed on synthetic and real low-dose
sequences demonstratethat the proposed method enables a 50% dose reduction.