Robotic-assisted Respiration-Corrected 4D Ultrasound Imaging for Image-guided Interventions

被引:4
作者
Wu, Jiaze [1 ]
Yan, Qian [2 ]
Ye, Jing [3 ,4 ]
Yuan, Xinsheng [1 ]
Liu, Jimin [1 ]
机构
[1] Shenzhen Hexaun Technol Co Ltd, Shenzhen, Peoples R China
[2] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Surg, Singapore, Singapore
[3] Shenzhen MileBot Robot Co Ltd, Shenzhen, Peoples R China
[4] Shenzhen Inst Geriat, Shenzhen, Peoples R China
来源
2017 2ND INTERNATIONAL CONFERENCE ON MULTIMEDIA AND IMAGE PROCESSING (ICMIP) | 2017年
关键词
4D ultrasound imaging; robotic arm; manifold learning; respiratory signal; FREEHAND 3D ULTRASOUND; SIGNAL;
D O I
10.1109/ICMIP.2017.48
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Widely used freehand 3D ultrasound systems do not provide corrections to effectively track breathing-induced moving organs. In this paper, a novel 4D ultrasound imaging method is proposed to create a sequence of breathing-corrected 3D ultrasound images from multiple 2D US image sequences, which is acquired by using a robotic arm to hold a 2D US probe and tilt it to regularly scan the liver. An image-based method is introduced to label the respiratory phases of the acquired images. Based on the extracted phases, the acquired 2D images are then resampled to reconstruct a sequence of respiration-corrected 3D ultrasound images. The reconstructed 3D images can capture the moving 3D liver during half a breathing cycle. Initial experiments demonstrate that the proposed method is feasible to visualize the 3D liver motion.
引用
收藏
页码:277 / 280
页数:4
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