NDLI: 3-D calibration method for freehand ultrasound image with high precision based on string-beads phantom

Content Provider	IEEE Xplore Digital Library
Author	Yao Rao Li Xiaoxing Jiang Lipei Deng Shuangcheng Cao Yingyu Yao Peng Li Xiaohong Liu Songqing
Copyright Year	2010
Description	Author affiliation: Beihua University, Jilin, China (Yao Peng) \|\| Opto-Mechatronic Equipment Technology Beijing Area, Major Laboratory, Beijing, China (Jiang Lipei; Deng Shuangcheng; Cao Yingyu) \|\| School of Mechanical Engineering & Automation, Beihang University, Beijing, China (Yao Rao; Li Xiaoxing) \|\| School of Mechanical Engineering, Jilin Teacher's Institute of Engineering and Technology, China (Li Xiaohong; Liu Songqing)
Abstract	As extremely important techniques of MRCAS, Z-string-beads phantom and optimization algorithm for manual imaging coordinates are investigated to improve the precisions of 3-D ultrasound (US) calibration which defines the spatial relationship between the US image plane and an external tracking device attached to the US probe. The phantom consists of accurate position beads and two layers of Z-string planar arrays. The beads can rapidly guide the user to align the probe accurately for imaging, so their coordinates are directly used in the algorithm for homologous points matching without any transformations; the optimized algorithm incorporates the imaging points coordinates (mass centre coordinates of each point) in multiple US images that corrects the manual marking coordinates of the imaging points. The calibration parameters are calculated by matching of homologous points in the image and the tracking device and the 2-D US image can be converted into 3-D US coordinates. The results show that this method can simplify the calibration algorithm, reduce the influences of the US beam thickness on the precision and improve the calibration precision and reconstruction accuracy of the 3-D US system. The calibration experiments are demonstrated with a magnetic locator, but the method could be suitable for other tracking devices.
Starting Page	286
Ending Page	289
File Size	767939
Page Count	4
File Format	PDF
ISBN	9781424476534
e-ISBN	9781424476565
DOI	10.1109/ICINDMA.2010.5538160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing Automation Image converters Optimization methods magnetic tracking Calibration Image sequences Mechanical engineering 3-D reconstruction Ultrasonic imaging medical robotics and computer assisted surgery(MRCAS) Imaging phantoms Probes calibration Pixel
Content Type	Text
Resource Type	Article

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