Non-local means improves total-variation constrained photoacoustic image reconstruction

被引:14
|
作者
Yalavarthy, Phaneendra K. [1 ]
Kalva, Sandeep Kumar [2 ]
Pramanik, Manojit [2 ]
Prakash, Jaya [3 ]
机构
[1] Indian Inst Sci, Dept Computat & Data Sci, Bangalore, Karnataka, India
[2] Nanyang Technol Univ, Sch Chem & Biomed Engn, Singapore, Singapore
[3] Indian Inst Sci, Dept Instrumentat & Appl Phys, Bangalore 560012, Karnataka, India
关键词
deconvolution; image reconstruction; inverse problems; photoacoustic tomography; regularization theory; TOMOGRAPHY; INVERSION;
D O I
10.1002/jbio.202000191
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
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.
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页数:8
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