Literature DB >> 15708453

A review of calibration techniques for freehand 3-D ultrasound systems.

Laurence Mercier1, Thomas Langø, Frank Lindseth, Louis D Collins.   

Abstract

Three-dimensional (3-D) ultrasound (US) is an emerging new technology with numerous clinical applications. Ultrasound probe calibration is an obligatory step to build 3-D volumes from 2-D images acquired in a freehand US system. The role of calibration is to find the mathematical transformation that converts the 2-D coordinates of pixels in the US image into 3-D coordinates in the frame of reference of a position sensor attached to the US probe. This article is a comprehensive review of what has been published in the field of US probe calibration for 3-D US. The article covers the topics of tracking technologies, US image acquisition, phantom design, speed of sound issues, feature extraction, least-squares minimization, temporal calibration, calibration evaluation techniques and phantom comparisons. The calibration phantoms and methods have also been classified in tables to give a better overview of the existing methods.

Mesh:

Year:  2005        PMID: 15708453     DOI: 10.1016/j.ultrasmedbio.2004.11.001

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  24 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.  Toward a dynamic approach of THA planning based on ultrasound.

Authors:  Guillaume Dardenne; Stéphane Dusseau; Chafiaâ Hamitouche; Christian Lefèvre; Eric Stindel
Journal:  Clin Orthop Relat Res       Date:  2008-08-08       Impact factor: 4.176

3.  Improving N-wire phantom-based freehand ultrasound calibration.

Authors:  Guillermo Carbajal; Andras Lasso; Alvaro Gómez; Gabor Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-28       Impact factor: 2.924

4.  Automatic 3D ultrasound calibration for image guided therapy using intramodality image registration.

Authors:  Jeffrey Schlosser; Can Kirmizibayrak; Vijay Shamdasani; Steve Metz; Dimitre Hristov
Journal:  Phys Med Biol       Date:  2013-10-08       Impact factor: 3.609

5.  Effects of line fiducial parameters and beamforming on ultrasound calibration.

Authors:  Golafsoun Ameri; John S H Baxter; A Jonathan McLeod; Terry M Peters; Elvis C S Chen
Journal:  J Med Imaging (Bellingham)       Date:  2017-02-28

6.  On the reproducibility of expert-operated and robotic ultrasound acquisitions.

Authors:  Risto Kojcev; Ashkan Khakzar; Bernhard Fuerst; Oliver Zettinig; Carole Fahkry; Robert DeJong; Jeremy Richmon; Russell Taylor; Edoardo Sinibaldi; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-20       Impact factor: 2.924

7.  FCN-based approach for the automatic segmentation of bone surfaces in ultrasound images.

Authors:  M Villa; G Dardenne; M Nasan; H Letissier; C Hamitouche; E Stindel
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-09-07       Impact factor: 2.924

8.  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

9.  Dual-robot ultrasound-guided needle placement: closing the planning-imaging-action loop.

Authors:  Risto Kojcev; Bernhard Fuerst; Oliver Zettinig; Javad Fotouhi; Sing Chun Lee; Benjamin Frisch; Russell Taylor; Edoardo Sinibaldi; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-04-20       Impact factor: 2.924

10.  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
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