Multi-segmented feature coupling for jointly reconstructing initial pressure and speed of sound in photoacoustic computed tomography.
Multi-segmented feature coupling for jointly reconstructing initial pressure and speed of sound in photoacoustic computed tomography.
复制标题
光声计算机断层扫描中联合重建初始压力和声速的多分段特征耦合
DOI：
10.1117/1.jbo.27.7.076001
复制
发表时间：
2022-07
影响因子：
3.5
通讯作者：
Ma, Cheng
中科院分区：
文献类型：
--
作者：
Deng, Kexin;Wang, Xuanhao;Cai, Chuangjian;Cui, Manxiu;Zuo, Hongzhi;Luo, Jianwen;Ma, Cheng
光声计算机断层扫描（PACT）是一种快速发展的成像方式。在PACT中，由于声速（SoS）的未知分布，图像质量下降。新兴的初始压力（IP）和SoS关节重建方法有望减少PACT中的伪影。然而，以往的关节重建方法存在一些不足。一种更有效的方法在临床前应用前景广阔。提出了一种基于多段特征耦合（MSFC）的关节重建方法。在该方法中，超声探测器被划分为多个子阵列，每个子阵列和其对面的子阵列被认为是一对。然后，使用延迟和算法基于子阵列对重构两幅图像，并根据图像相关性和子阵列的方向估计特定方向的SoS。对所有对子数组生成的数据进行处理后，生成的图像在各个方向上以最小特征分割进行了优化。进一步，基于特定方向的SoS，采用基于模型的方法直接重建SoS分布。与传统方法相比，幻影实验和动物实验都证明了这种方法的可行性，并显示了令人满意的结果，减少了分裂和模糊，减少了扭曲。所开发的MSFC方法在IP和SoS重建方面都显示出令人满意的结果。MSFC方法将有助于优化PACT在临床应用中的图像质量。
Photoacoustic computed tomography (PACT) is a fast-growing imaging modality. In PACT, the image quality is degraded due to the unknown distribution of the speed of sound (SoS). Emerging initial pressure (IP) and SoS joint-reconstruction methods promise reduced artifacts in PACT. However, previous joint-reconstruction methods have some deficiencies. A more effective method has promising prospects in preclinical applications. We propose a multi-segmented feature coupling (MSFC) method for SoS-IP joint reconstruction in PACT. In the proposed method, the ultrasound detectors were divided into multiple sub-arrays with each sub-array and its opposite counterpart considered to be a pair. The delay and sum algorithm was then used to reconstruct two images based on a subarray pair and estimated a direction-specific SoS, based on image correlation and the orientation of the subarrays. Once the data generated by all pairs of subarrays were processed, an image that was optimized in terms of minimal feature splitting in all directions was generated. Further, based on the direction-specific SoS, a model-based method was used to directly reconstruct the SoS distribution. Both phantom and animal experiments demonstrated feasibility and showed promising results compared with conventional methods, with less splitting and blurring and fewer distortions. The developed MSFC method shows promising results for both IP and SoS reconstruction. The MSFC method will help to optimize the image quality of PACT in clinical applications.