Literature DB >> 15588957

Surface extraction with a three-dimensional freehand ultrasound system.

Wayne Y Zhang1, Robert N Rohling, Dinesh K Pai.   

Abstract

This paper presents a system for acquiring three-dimensional ultrasound data and extracting surfaces of the examined structures. The acquisition is performed freehand with a PC-based two dimensional ultrasound machine and an optical tracker. The extraction of surfaces from ultrasound data are normally inhibited by speckle, shadowing and gaps in the acquired data. A new method is developed that extracts a surface directly from the irregularly spaced, noisy freehand ultrasound data. The freehand data are first interpolated with radial basis functions and then a mesh is formed along an isosurface of the functional interpolation. The ability of radial basis functions to smooth speckle and interpolate across gaps is demonstrated on a series of experiments with phantoms and human tissue in a water bath. The geometry of the extracted surface matches the external measurements with an average difference ranging from 0.8 to 2.9 mm. These differences are within the range of errors from calibration, resolution and landmark localization. The experiments also show the ability to create continuous and realistic surfaces from scans that require multiple sweeps over a structure.

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Year:  2004        PMID: 15588957     DOI: 10.1016/j.ultrasmedbio.2004.08.020

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


  3 in total

1.  A probabilistic framework for freehand 3D ultrasound reconstruction applied to catheter ablation guidance in the left atrium.

Authors:  Aditya B Koolwal; Federico Barbagli; Christopher R Carlson; David H Liang
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-04       Impact factor: 2.924

2.  A Novel Design of N-Fiducial Phantom for Automatic Ultrasound Calibration.

Authors:  Maria Chatrasingh; Jackrit Suthakorn
Journal:  J Med Phys       Date:  2019 Jul-Sep

3.  Surface roughness detection of arteries via texture analysis of ultrasound images for early diagnosis of atherosclerosis.

Authors:  Lili Niu; Ming Qian; Wei Yang; Long Meng; Yang Xiao; Kelvin K L Wong; Derek Abbott; Xin Liu; Hairong Zheng
Journal:  PLoS One       Date:  2013-10-17       Impact factor: 3.240

  3 in total

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