Three‐dimensional spatial reconstruction of coronary arteries based on fusion of intravascular optical coherence tomography and coronary angiography,Journal of Biophotonics

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Three‐dimensional spatial reconstruction of coronary arteries based on fusion of intravascular optical coherence tomography and coronary angiography
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-11-27 , DOI: 10.1002/jbio.202000370
Yanan Zhu _{1,

2,

3} , Fengyu Zhu _{1,

2,

3} , Zhenyang Ding _{1,

2,

3} , Kuiyuan Tao _{1,

2,

3} , Tianduo Lai _{1,

2,

3} , Hao Kuang ₄ , Peidong Hua _{1,

2,

3} , Mingjian Shang _{1,

2,

3} , Jingqi Hu _{1,

2,

3} , Yin Yu _{1,

2,

3} , Tiegen Liu _{1,

2,

3}

Affiliation

We present a three‐dimensional (3D) spatial reconstruction of coronary arteries based on fusion of intravascular optical coherence tomography (IVOCT) and digital subtraction angiography (DSA). Centerline of vessel in DSA images is exacted by multi‐scale filtering, adaptive segmentation, morphology thinning and Dijkstra's shortest path algorithm. We apply the cross‐correction between lumen shapes of IVOCT and DSA images and match their stenosis positions to realize co‐registration. By matching the location and tangent direction of the vessel centerline of DSA images and segmented lumen coordinates of IVOCT along pullback path, 3D spatial models of vessel lumen are reconstructed. Using 1121 distinct positions selected from eight vessels, the correlation coefficient between 3D IVOCT model and DSA image in measuring lumen radius is 0.94% and 97.7% of the positions fall within the limit of agreement by Bland–Altman analysis, which means that the 3D spatial reconstruction IVOCT models and DSA images have high matching level.

中文翻译：

基于血管内光学相干断层扫描和冠状动脉造影的融合的冠状动脉三维空间重建

我们基于血管内光学相干断层扫描（IVOCT）和数字减影血管造影（DSA）的融合，提出了冠状动脉的三维（3D）空间重建。DSA图像中的血管中心线通过多尺度滤波，自适应分割，形态学细化和Dijkstra的最短路径算法来精确定位。我们在IVOCT和DSA图像的管腔形状之间应用交叉校正，并匹配其狭窄位置以实现共配准。通过匹配DSA图像的血管中心线的位置和切线方向以及沿拉回路径分割的IVOCT的管腔坐标，可以重建血管腔的3D空间模型。使用从8个血管中选择的1121个不同位置，在测量管腔半径时3D IVOCT模型与DSA图像之间的相关系数为0.94％和97。

更新日期：2020-11-27

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