Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography

被引：28

作者：

Betcke, Marta M. ^{[1
]}

Cox, Ben T. ^{[2
]}

Nam Huynh ^{[2
]}

Zhang, Edward Z. ^{[2
]}

Beard, Paul C. ^{[2
]}

Arridge, Simon R. ^{[1
]}

机构：

[1] UCL, Dept Comp Sci, London WC1E 6BT, England

[2] UCL, Dept Med Phys, London WC1E 6BT, England

来源：

IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING | 2017年 / 3卷 / 04期

基金：

英国工程与自然科学研究理事会;

关键词：

ADMM methods; compressed sensing; curvelet frame; L1; minimization; photoacoustic tomography; PROPAGATION; PROJECTION; RECOVERY; SPARSE; CAMERA; SENSOR;

D O I：

10.1109/TCI.2017.2706029

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a method for the recovery of compressively sensed acoustic fields using patterned, instead of point-by-point, detection. From a limited number of such compressed measurements, we propose to reconstruct the field on the sensor plane in each time step independently assuming its sparsity in a Curvelet frame. A modification of the Curvelet frame is proposed to account for the smoothing effects of data acquisition and motivated by a frequency domain model for photoacoustic tomography. An ADMM type algorithm, split augmented Lagrangian shrinkage algorithm, is used to recover the pointwise data in each individual time step from the patterned measurements. For photoacoustic applications, the photoacoustic image of the initial pressure is reconstructed using time reversal in k-Wave Toolbox.

引用

页码：710 / 721

页数：12

共 42 条

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