A preliminary clinical study of automatic registration ultrasound-CT/MR fusion imaging based on liver vessel trees
10.3760/cma.j.issn.1004-4477.2018.03.005
- VernacularTitle:基于肝血管树智能对位超声-CT/MR融合成像技术的初步临床研究
- Author:
Qingjing ZENG
1
;
Kai LI
;
Yuxuan WU
;
Yinglin LONG
;
Liping LUO
;
Erjiao XU
;
Rongqin ZHENG
Author Information
1. 中山大学附属第三医院超声科 广东省肝脏疾病研究重点实验室
- Keywords:
Ultrasonography;
Fusion imaging;
Liver;
Automatic registration;
Hepatic vessel trees
- From:
Chinese Journal of Ultrasonography
2018;27(3):200-204
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the feasibility and convenience of automatic registration ultrasound-CT/MR fusion imaging based on hepatic vessel trees. Methods The PercuNav fusion imaging system of Philips Epiq 7 was used to perform ultrasound-CT/MR fusion imaging on 22 patients with focal liver lesions detected by contrast-enhanced CT or MR.Both automatic registration ultrasound-CT/MR fusion imaging based on hepatic vessel trees and the conventional ultrasound-CT/MR fusion imaging based on internal anatomic landmarks were employed for alignment in these patients.The results including the success rate of registration,duration time of initial registration,error of initial registration,number of times of fine-tuning, duration time of fine-tuning and the overall duration time of registration were compared between these two methods.Results The success rates of registration,duration time of initial registration,errors of initial registration,numbers of times of fine-tuning,duration time of fine-tuning and the overall duration time of registration for automatic registration ultrasound-CT/MR fusion imaging based on hepatic vessel trees and the conventional ultrasound-CT/MR fusion imaging based on internal anatomic landmarks were 72.73% and 95.45%,16.5 s (10~30 s) and 13 s (8~24 s),3 mm (1~14 mm) and 14 mm (2~43 mm),0 time (0 to 2 times) and 1 time (0~3 times),0 s(0~46 s) and 30 s (0~88 s),and 20 s (12~61 s) and 42 s (9~102 s),successively and respectively. There was no statistically significant difference in the success rates between these two methods ( P >0.05).The duration time of initial registration of conventional method was less than that of automatic registration method( P <0.05).The error of initial registration,number of times of fine-tuning,duration time of fine-tuning and the overall duration time of registration of automatic registration method were superior to those of conventional method ( P < 0.05).Conclusions Automatic registration ultrasound-CT/MR fusion imaging based on hepatic vessel trees is feasible. It is also more convenient than conventional ultrasound-CT/MR fusion imaging based on internal anatomic landmarks.
