J Med Syst - Multiresolution image registration in digital x-ray angiography with intensity variation modeling.

Tópicos

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Resumo

Digital subtraction angiography (DSA) is a widely used technique for visualization of vessel anatomy in diagnosis and treatment. However, due to unavoidable patient motions, both externally and internally, the subtracted angiography images often suffer from motion artifacts that adversely affect the quality of the medical diagnosis. To cope with this problem and improve the quality of DSA images, registration algorithms are often employed before subtraction. In this paper, a novel elastic registration algorithm for registration of digital X-ray angiography images, particularly for the coronary location, is proposed. This algorithm includes a multiresolution search strategy in which a global transformation is calculated iteratively based on local search in coarse and fine sub-image blocks. The local searches are accomplished in a differential multiscale framework which allows us to capture both large and small scale transformations. The local registration transformation also explicitly accounts for local variations in the image intensities which incorporated into our model as a change of local contrast and brightness. These local transformations are then smoothly interpolated using thin-plate spline interpolation function to obtain the global model. Experimental results with several clinical datasets demonstrate the effectiveness of our algorithm in motion artifact reduction.

Resumo Limpo

digit subtract angiographi dsa wide use techniqu visual vessel anatomi diagnosi treatment howev due unavoid patient motion extern intern subtract angiographi imag often suffer motion artifact advers affect qualiti medic diagnosi cope problem improv qualiti dsa imag registr algorithm often employ subtract paper novel elast registr algorithm registr digit xray angiographi imag particular coronari locat propos algorithm includ multiresolut search strategi global transform calcul iter base local search coars fine subimag block local search accomplish differenti multiscal framework allow us captur larg small scale transform local registr transform also explicit account local variat imag intens incorpor model chang local contrast bright local transform smooth interpol use thinplat spline interpol function obtain global model experiment result sever clinic dataset demonstr effect algorithm motion artifact reduct

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