Finite-Aperture-Effect Corrected Compressive Sensing Image Reconstruction of Photo-acoustic Tomography
碩士 === 國立清華大學 === 電機工程學系 === 102 === In this study, we propose a new compressive sensing (CS) based image reconstruction method for photoacoustic tomography (PAT) where the finite aperture effect is corrected. To eliminate the finite aperture effect, the proposed method adopts the spatial impulse re...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/qeujd5 |
| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 102 === In this study, we propose a new compressive sensing (CS) based image reconstruction method for photoacoustic tomography (PAT) where the finite aperture effect is corrected. To eliminate the finite aperture effect, the proposed method adopts the spatial impulse responses (SIRs) of the finite-sized unfocused transducer into the discrete linear PAT imaging model for CS. By using the nonlinear recovery algorithm based on convex optimization, PAT can be reconstructed with highly incomplete data. Therefore, the number of measurements and the system cost needed for a certain image quality can be significantly reduced. In the mean time, retrospective restoration of the tangential resolution can be achieved because the SIRs of the unfocused transducer is incorporated in the CS. Simulation and experimental results demonstrate that this method can not only reduce the data acquisition time but also improve the degraded tangential resolution for PAT with finite-sized unfocused transducers.
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