最佳时相单扇区重建技术改善320排CT支气管动脉成像图像质量的可行性

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Abstract Objective: To assess the feasibility of the best phase half-cycle reconstruction in improving detection capability of bronchial artery and bronchial-pulmonary arterial fistulas for unanticipated free- breathing patients using 320-detector row dynamic volume CT. Methods: Fifty-five patients with severe motion artifacts during bronchial artery CTA were included in the study, who were scanned with prospective ECG-gating 320-detector row dynamic volume CT. All images were reconstructed with the best phase technique using half-cycle reconstruction (HCR) and multi-cycle reconstruction (MCR) methods.Wilcoxon signed-rank test was used to compare the grade (1, 2, 3, 4) of bronchial artery quantitative and paired t-test was used to compare the average CT values, noise (N), single to noise ratio (SNR), and contrast to noise ratio (CNR). Results: The number of bronchial artery branches at all grades from 1 grade to 4 grade in HCR group were 164, 177, 170, 94, respectively. It’s significantly greater than that in MCR group which were 131, 114, 76, 39, respectively. The bronchial artery CT values and noise in HCR group were greater than in that MCR group (respectively 373.3±61.0 vs. 331.2±65.0, 17.3±2.4 vs. 14.0±2.3, P<0.001). The SNR was significantly lower with HCR (38.5±6.9) than that with MCR (48.4±10.6, P<0.001). The CNRs had no significantly difference in the main segment of bronchial artery between the two groups (P=0.322). Conclusion: The best phase half-cycle reconstruction can improve image quality of bronchial artery CTA in high heart rates with unanticipated free-breathin, increase the number of tiny bronchial artery and bronchial-pulmonary arterial fistula significantly.

Key words： tomography, X-ray computed bronchial artery CT angiography half-cycle reconstruction multi-cycle reconstruction

Received: 24 February 2017

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	WANG Zhenzhang
	GUO Xianzhong
	SUN Houzhang
	CAO Guoquan
	MAO Dandan
	ZHANG Zhao
	ZHENG Xiangwu
	CHEN Weijian

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https://xb.wmu.edu.cn/EN/ OR https://xb.wmu.edu.cn/EN/Y2017/V47/I9/631

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