Sun Zheng, Du Jiejie
Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China.
Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding 071003, Hebei, China.
Biomed Opt Express. 2021 Oct 14;12(11):6909-6927. doi: 10.1364/BOE.440975. eCollection 2021 Nov 1.
Intravascular photoacoustic (IVPA) imaging is an image-based imaging modality for the assessment of atherosclerotic plaques. Successful application of IVPA for coronary arterial imaging requires one overcomes the challenge of motion artifacts associated with the cardiac cycle. We propose a method for correcting artifacts owing to cardiac motion, which are observed in sequential IVPA images acquired by the continuous pullback of the imaging catheter. This method groups raw photoacoustic signals into subsets corresponding to similar phases in the cardiac cycles. Thereafter, the sequential images are reconstructed, by representing the initial pressure distribution on the vascular cross-sections based on the clustered frames of signals by time reversal. Results of simulation data demonstrate the efficacy of this method in suppressing motion artifacts. Qualitative and quantitative evaluations of the method indicate an enhancement of the image quality. Comparison results reveal that this method is computationally efficient in motion correction compared with the image-based gating.
血管内光声（IVPA）成像是一种基于图像的成像方式，用于评估动脉粥样硬化斑块。IVPA在冠状动脉成像中的成功应用要求克服与心动周期相关的运动伪影挑战。我们提出了一种校正由于心脏运动产生的伪影的方法，这些伪影在通过成像导管连续回撤获取的序列IVPA图像中可见。该方法将原始光声信号分组为与心动周期中相似相位相对应的子集。此后，通过基于信号的聚类帧经时间反转来表示血管横截面上的初始压力分布，重建序列图像。模拟数据结果证明了该方法在抑制运动伪影方面的有效性。该方法的定性和定量评估表明图像质量得到了提高。比较结果显示，与基于图像的门控相比，该方法在运动校正方面计算效率更高。
