压缩感知在活体光声断层成像中的应用。
Compressed sensing in photoacoustic tomography in vivo.
机构信息
Washington University, Department of Biomedical Engineering, Optical Imaging Laboratory, 1 Brookings Drive, St. Louis, Missouri 63130, USA.
出版信息
J Biomed Opt. 2010 Mar-Apr;15(2):021311. doi: 10.1117/1.3381187.
Abstract
The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the laser repetition rate and the number of parallel ultrasound detecting channels. Reconstructing an image with fewer measurements can effectively accelerate the data acquisition and reduce the system cost. We adapt compressed sensing (CS) for the reconstruction in PACT. CS-based PACT is implemented as a nonlinear conjugate gradient descent algorithm and tested with both phantom and in vivo experiments.
摘要
光声计算机断层扫描（PACT）的数据采集速度受到激光重复率和并行超声检测通道数量的限制。使用较少的测量值进行重建可以有效地加速数据采集并降低系统成本。我们将压缩感知（CS）应用于 PACT 的重建中。基于 CS 的 PACT 采用非线性共轭梯度下降算法实现，并通过体模和体内实验进行了测试。
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