生物医学中的光声成像
迭代重建
计算机科学
降噪
光声层析成像
全变差去噪
断层摄影术
反演(地质)
计算机视觉
算法
人工智能
光学
物理
地质学
古生物学
构造盆地
作者
Phaneendra K. Yalavarthy,Sandeep Kumar Kalva,Manojit Pramanik,Jaya Prakash
标识
DOI:10.1002/jbio.202000191
摘要
Photoacoustic/Optoacoustic tomography aims to reconstruct maps of the initial pressure rise induced by the absorption of light pulses in tissue. This reconstruction is an ill-conditioned and under-determined problem, when the data acquisition protocol involves limited detection positions. The aim of the work is to develop an inversion method which integrates denoising procedure within the iterative model-based reconstruction to improve quantitative performance of optoacoustic imaging. Among the model-based schemes, total-variation (TV) constrained reconstruction scheme is a popular approach. In this work, a two-step approach was proposed for improving the TV constrained optoacoustic inversion by adding a non-local means based filtering step within each TV iteration. Compared to TV-based reconstruction, inclusion of this non-local means step resulted in signal-to-noise ratio improvement of 2.5 dB in the reconstructed optoacoustic images.
科研通智能强力驱动
Strongly Powered by AbleSci AI