基于4D计算机断层血管造影数据的脉动血流数值重建
Numerical reconstruction of pulsatile blood flow from 4D computer tomography angiography data
AI总结：
本文提出一种新算法，通过ECG门控CT血管造影数据重建脉动血流，采用块优化方法求解逆问题，用于评估主动脉血流特征，为心血管病变诊断提供更准确描述。
摘要：
我们提出了一种新的数值算法，用于从ECG门控CT血管造影数据中重建脉动血流。构建了基于块的优化方法，以解决对应于由守恒原理和胡克定律推导出的Riccati型常微分方程的逆问题。对5名患者的局部流量在10厘米长的主动脉段（位于心脏下方1厘米处）进行了计算。局部流量曲线的波形似乎具有现实性。我们的方法适用于基于ECG门控CT扫描估计主动脉脉动血流特征，从而为几种心血管病变的更准确描述做出贡献。
英文摘要：
We present a novel numerical algorithm developed to reconstuct pulsatile blood flow from ECG-gated CT angiography data. A block-based optimization method was constructed to solve the inverse problem corresponding to the Riccati-type ordinary differential equation that can be deduced from conservation principles and Hooke's law. Local flow rate for 5 patients was computed in 10cm long aorta segments that are located 1cm below the heart. The wave form of the local flow rate curves seems to be realistic. Our approach is suitable for estimating characteristics of pulsatile blood flow in aorta based on ECG gated CT scan thereby contributing to more accurate description of several cardiovascular lesions.
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