The computed tomography angiography (CTA) postprocessing manually recognized by technologists is extremely labor intensive and error prone. We propose an artificial intelligence reconstruction system supported by an optimized physiological anatomical-based 3D convolutional neural network that can automatically achieve CTA reconstruction in healthcare services. This system is trained and tested with 18,766 head and neck CTA scans from 5 tertiary hospitals in China collected between June 2017 and November 2018. The overall reconstruction accuracy of the independent testing dataset is 0.931. It is clinically applicable due to its consistency with manually processed images, which achieves a qualification rate of 92.1%. This system reduces the time consumed from 14.223.64min to 4.94 +/- 0.36min, the number of clicks from 115.87 +/- 25.9 to 4 and the labor force from 3 to 1 technologist after five months application. Thus, the system facilitates clinical workflows and provides an opportunity for clinical technologists to improve humanistic patient care. Manual postprocessing of computed tomography angiography (CTA) images is extremely labor intensive and error prone. Here, the authors propose an artificial intelligence reconstruction system that can automatically achieve CTA reconstruction in healthcare services.
基金：
Beijing Natural Science FoundationBeijing Natural Science Foundation [Z190014]; Beijing Municipal Administration of Hospital's Ascent Plan [DFL20180802]; Beijing Municipal science and technology projects [Z201100005620009]
第一作者单位：[1]Department of Radiology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, 100053 Beijing, China.[2]Beijing KeyLaboratory of Magnetic Resonance Imaging and Brain Informatics, No. 45 Changchun Street, Xicheng District, 100053 Beijing, China.
通讯作者：
通讯机构：[1]Department of Radiology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, 100053 Beijing, China.[2]Beijing KeyLaboratory of Magnetic Resonance Imaging and Brain Informatics, No. 45 Changchun Street, Xicheng District, 100053 Beijing, China.[9]Department of Nuclear Medicine,Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, 100053 Beijing, China
推荐引用方式(GB/T 7714)：
Fan Fu,Jianyong Wei,Miao Zhang,et al.Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network[J].NATURE COMMUNICATIONS.2020,11(1):doi:10.1038/s41467-020-18606-2.
APA：
Fan Fu,Jianyong Wei,Miao Zhang,Fan Yu,Yueting Xiao...&Jie Lu.(2020).Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network.NATURE COMMUNICATIONS,11,(1)
MLA：
Fan Fu,et al."Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network".NATURE COMMUNICATIONS 11..1(2020)
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