成像体模
基准标记
校准
超声波
模型
计算机科学
人工智能
生物医学工程
核医学
计算机视觉
材料科学
医学
声学
物理
量子力学
复合材料
作者
Chan Wu,Tianyu Fu,Xinyu Chen,Jian Xiao,Danni Ai,Jingfan Fan,Yucong Lin,Hong Song,Jian Yang
出处
期刊:Ultrasonics
[Elsevier]
日期:2022-10-01
卷期号:128: 106862-106862
被引量:1
标识
DOI:10.1016/j.ultras.2022.106862
摘要
The classic N-wire phantom has been widely used in the calibration of freehand ultrasound probes. One of the main challenges of the phantom is accurately identifying N-fiducials in ultrasound images, especially with multiple N-wire structures. In this study, a method using a multilayer N-wire phantom for the automatic spatial calibration of ultrasound images is proposed. All dots in the ultrasound image are segmented, scored, and classified according to the unique geometric features of the multilayer N-wire phantom. A recognition method for identifying N-fiducials from the dots is proposed for calibrating the spatial transformation of the ultrasound probe. At depths of 9, 11, 13, and 15 cm, the reconstruction error of 50 points is 1.24 ± 0.16, 1.09 ± 0.06, 0.95 ± 0.08, 1.02 ± 0.05 mm, respectively. The reconstruction mockup test shows that the distance accuracy is 1.11 ± 0.82 mm at a depth of 15 cm.
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