Literature DB >> 36034684

Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker.

S E Stephens1, N B Ingels1, J F Wenk2, M O Jensen1.   

Abstract

Background: The use of 3D imaging is becoming increasingly common, so too is the use of fiducial markers to identify/track regions of interest and assess material deformation. While many different materials have been used as fiducials, they are often used in isolation, with little comparison to one another. Objective: In the current study, we aim to directly compare different Computed Tomography (CT and μCT) fiducial materials, both metallic and nonmetallic.
Methods: μCT imaging was performed on a soft-tissue structure, in this case heart valve tissue, with various markers attached. Additionally, we evaluated the same markers with DiceCT stained tissue in a fluid medium. Eight marker materials were tested in all.
Results: All of the metallic markers generated significant artifacts and were found unsuitable for soft-tissue μCT imaging, whereas alumina markers were found to perform the best, with excellent contrast and consistency. Conclusions: These findings support the further use of alumina as fiducial markers for soft material and tissue studies that utilize CT and μCT imaging.

Entities:  

Keywords:  CT; Fiducial; alumina; aluminum oxide; marker; x-ray

Year:  2022        PMID: 36034684      PMCID: PMC9400951          DOI: 10.1007/s11340-022-00825-x

Source DB:  PubMed          Journal:  Exp Mech        ISSN: 0014-4851            Impact factor:   2.794


  22 in total

1.  Imaging of Ancient Egyptian Animal Mummies.

Authors:  Lidija M McKnight; Stephanie D Atherton-Woolham; Judith E Adams
Journal:  Radiographics       Date:  2015 Nov-Dec       Impact factor: 5.333

2.  A biplanar X-ray approach for studying the 3D dynamics of human track formation.

Authors:  Kevin G Hatala; David A Perry; Stephen M Gatesy
Journal:  J Hum Evol       Date:  2018-05-09       Impact factor: 3.895

3.  Measurement of three-dimensional positions and motions of large numbers of spherical radiopaque markers from biplane cineradiograms.

Authors:  J B Garrison; W L Ebert; R E Jenkins; S M Yionoulis; H Malcom; G A Heyler; A A Shoukas; W L Maughan; K Sagawa
Journal:  Comput Biomed Res       Date:  1982-02

4.  Artifacts in CT: recognition and avoidance.

Authors:  Julia F Barrett; Nicholas Keat
Journal:  Radiographics       Date:  2004 Nov-Dec       Impact factor: 5.333

5.  Frameless stereotaxy using bone fiducial markers for deep brain stimulation.

Authors:  Kathryn L Holloway; Steven E Gaede; Philip A Starr; Joshua M Rosenow; Viswanathan Ramakrishnan; Jaimie M Henderson
Journal:  J Neurosurg       Date:  2005-09       Impact factor: 5.115

6.  Measurement of midwall myocardial dynamics in intact man by radiography of surgically implanted markers.

Authors:  N B Ingels; G T Daughters; E B Stinson; E L Alderman
Journal:  Circulation       Date:  1975-11       Impact factor: 29.690

Review 7.  Alumina Biocompatibility.

Authors:  Eric Denes; Guislaine Barrière; Evelyne Poli; Guillaume Lévêque
Journal:  J Long Term Eff Med Implants       Date:  2018

8.  Novel Method to Track Soft Tissue Deformation by Micro-Computed Tomography: Application to the Mitral Valve.

Authors:  Eric L Pierce; Charles H Bloodworth; Ajay Naran; Thomas F Easley; Morten O Jensen; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2015-11-09       Impact factor: 3.934

9.  Evaluation of different fiducial markers for image-guided radiotherapy and particle therapy.

Authors:  Daniel Habermehl; Katrin Henkner; Swantje Ecker; Oliver Jäkel; Jürgen Debus; Stephanie E Combs
Journal:  J Radiat Res       Date:  2013-07       Impact factor: 2.724

10.  Determining a reliably visible and inexpensive surface fiducial marker for use in MRI: a research study in a busy Australian Radiology Department.

Authors:  Maree T Izatt; Deborah Lees; Susan Mills; Caroline A Grant; J Paige Little
Journal:  BMJ Open       Date:  2019-08-01       Impact factor: 2.692

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