Comput Math Methods Med - Sparse-view ultrasound diffraction tomography using compressed sensing with nonuniform FFT.

Tópicos

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Resumo

Accurate reconstruction of the object from sparse-view sampling data is an appealing issue for ultrasound diffraction tomography (UDT). In this paper, we present a reconstruction method based on compressed sensing framework for sparse-view UDT. Due to the piecewise uniform characteristics of anatomy structures, the total variation is introduced into the cost function to find a more faithful sparse representation of the object. The inverse problem of UDT is iteratively resolved by conjugate gradient with nonuniform fast Fourier transform. Simulation results show the effectiveness of the proposed method that the main characteristics of the object can be properly presented with only 16 views. Compared to interpolation and multiband method, the proposed method can provide higher resolution and lower artifacts with the same view number. The robustness to noise and the computation complexity are also discussed.

Resumo Limpo

accur reconstruct object sparseview sampl data appeal issu ultrasound diffract tomographi udt paper present reconstruct method base compress sens framework sparseview udt due piecewis uniform characterist anatomi structur total variat introduc cost function find faith spars represent object invers problem udt iter resolv conjug gradient nonuniform fast fourier transform simul result show effect propos method main characterist object can proper present view compar interpol multiband method propos method can provid higher resolut lower artifact view number robust nois comput complex also discuss

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