Literature DB >> 25485404

Active echo: a new paradigm for ultrasound calibration.

Xiaoyu Guo, Alexis Cheng, Haichong K Zhang, Hyun-Jae Kang, Ralph Etienne-Cummings, Emad M Boctor.   

Abstract

In ultrasound-guided medical procedures, accurate tracking of interventional tools with respect to the US probe is crucial to patient safety and clinical outcome. US probe tracking requires an unavoidable calibration procedure to recover the rigid body transformation between the US image and the tracking coordinate system. In literature, almost all calibration methods have been performed on passive phantoms. There are several challenges to these calibration methods including dependency on ultrasound image quality and parameters such as frequency, depth, and beam-thickness. In this work, for the first time we introduce an active echo (AE) phantom for US calibration. The phantom actively detects and responds to the US beams from the imaging probe. This active approach allows reliable and accurate identification of the ultrasound image mid-plane independent of the image quality. It also enables automatic point segmentations. Both the target localization and segmentation can be done automatically, so the user dependency is minimized. The AE phantom is compared with a gold standard crosswire (CW) phantom in a robotic US experimental setup. The result indicates that AE calibration phantom provides a localization precision of 223 μm, and an overall reconstruction error of 850 μm. Autosegmentation is also tested and proved to have the similar performance as the manual segmentation.

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Year:  2014        PMID: 25485404     DOI: 10.1007/978-3-319-10470-6_50

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

1.  Robot-assisted automatic ultrasound calibration.

Authors:  Fereshteh Aalamifar; Alexis Cheng; Younsu Kim; Xiao Hu; Haichong K Zhang; Xiaoyu Guo; Emad M Boctor
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-01-11       Impact factor: 2.924

2.  Minimally invasive registration for computer-assisted orthopedic surgery: combining tracked ultrasound and bone surface points via the P-IMLOP algorithm.

Authors:  Seth Billings; Hyun Jae Kang; Alexis Cheng; Emad Boctor; Peter Kazanzides; Russell Taylor
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-18       Impact factor: 2.924

3.  Guided ultrasound calibration: where, how, and how many calibration fiducials.

Authors:  Elvis C S Chen; Terry M Peters; Burton Ma
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-04-02       Impact factor: 2.924

4.  Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation.

Authors:  Haichong K Zhang; Alexis Cheng; Nick Bottenus; Xiaoyu Guo; Gregg E Trahey; Emad M Boctor
Journal:  J Med Imaging (Bellingham)       Date:  2016-04-08

5.  Active phantoms: a paradigm for ultrasound calibration using phantom feedback.

Authors:  Alexis Cheng; Xiaoyu Guo; Haichong K Zhang; Hyun Jae Kang; Ralph Etienne-Cummings; Emad M Boctor
Journal:  J Med Imaging (Bellingham)       Date:  2017-07-27

6.  Actuator-Assisted Calibration of Freehand 3D Ultrasound System.

Authors:  Terry K Koo; Nathaniel Silvia
Journal:  J Healthc Eng       Date:  2018-05-02       Impact factor: 2.682

  6 in total

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