Literature DB >> 20878537

On precise localization of boundaries between extended uniform objects in MRI: tooth imaging as an example.

Olga Tymofiyeva1, Florian Schmid, Markus von Kienlin, Felix A Breuer, Kurt Rottner, Julian Boldt, Ernst-Juergen Richter, Peter M Jakob.   

Abstract

OBJECT: The purpose of this study was to investigate the achievable precision of localization of boundaries between extended uniform objects in MRI and to study the effect of zero-filling on reaching it.
MATERIALS AND METHODS: A theoretical model of an object boundary in the presence of noise was introduced, and the error of localization was derived. The effect of zero-filling on reaching the achievable precision was assessed by computer simulations and experimentally on an extracted tooth in a signal-giving medium.
RESULTS: With the help of the theoretical model, the achievable precision of localization of boundaries between two uniform extended objects was shown to surpass the nominal resolution by a factor equal to the contrast-to-noise ratio. In the simulations and phantom experiments, zero-filling followed by image segmentation allowed for approaching the theoretical value. As an application example, an MRI-based dental impression was performed in vivo, and a bridge was produced and permanently fixed to the volunteer's teeth.
CONCLUSION: This work demonstrates that in an MRI experiment, the achievable precision of localization of object boundaries is not limited to the nominal resolution and can surpass it by an order of magnitude. Zero-filling is a simple and effective method of reaching it.

Mesh:

Year:  2010        PMID: 20878537     DOI: 10.1007/s10334-010-0229-4

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  15 in total

1.  Signal-to-noise, resolution, and bias function analysis of asymmetric sampling with zero-padded magnitude FT reconstruction.

Authors:  G C Hurst; J Hua; O P Simonetti; J L Duerk
Journal:  Magn Reson Med       Date:  1992-10       Impact factor: 4.668

2.  Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction.

Authors:  Rick Archibald; Jiuxiang Hu; Anne Gelb; Gerald Farin
Journal:  IEEE Trans Image Process       Date:  2004-04       Impact factor: 10.856

3.  Robust tissue boundary detection for cerebral cortical thickness estimation.

Authors:  Marietta L J Scott; Neil A Thacker
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

4.  Imaging inert fluorinated gases in cracks: perhaps in David's ankles.

Authors:  Dean O Kuethe; Markus D Scholz; Paola Fantazzini
Journal:  Magn Reson Imaging       Date:  2007-01-26       Impact factor: 2.546

5.  An assessment of the sharpness of carotid artery tissue boundaries with acquisition voxel size and field strength.

Authors:  Robert L Greenman; Xiaoen Wang; Long Ngo; Robert P Marquis; Norman Farrar
Journal:  Magn Reson Imaging       Date:  2007-08-01       Impact factor: 2.546

6.  Sub-pixel localisation of passive micro-coil fiducial markers in interventional MRI.

Authors:  Marc Rea; Donald McRobbie; Haytham Elhawary; Zion T H Tse; Michael Lamperth; Ian Young
Journal:  MAGMA       Date:  2008-09-19       Impact factor: 2.310

Review 7.  Rapid prototyping techniques for anatomical modelling in medicine.

Authors:  M McGurk; A A Amis; P Potamianos; N M Goodger
Journal:  Ann R Coll Surg Engl       Date:  1997-05       Impact factor: 1.891

8.  Computerized tumor boundary detection using a Hopfield neural network.

Authors:  Y Zhu; H Yan
Journal:  IEEE Trans Med Imaging       Date:  1997-02       Impact factor: 10.048

9.  The Rician distribution of noisy MRI data.

Authors:  H Gudbjartsson; S Patz
Journal:  Magn Reson Med       Date:  1995-12       Impact factor: 4.668

10.  Measurement of signal intensities in the presence of noise in MR images.

Authors:  R M Henkelman
Journal:  Med Phys       Date:  1985 Mar-Apr       Impact factor: 4.071

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  5 in total

1.  QUIPSS II with window-sliding saturation sequence (Q2WISE).

Authors:  Ruitian Song; Ralf B Loeffler; Claudia M Hillenbrand
Journal:  Magn Reson Med       Date:  2011-09-27       Impact factor: 4.668

2.  Influence of dental materials on dental MRI.

Authors:  O Tymofiyeva; S Vaegler; K Rottner; J Boldt; A J Hopfgartner; P C Proff; E J Richter; P M Jakob
Journal:  Dentomaxillofac Radiol       Date:  2013-04-22       Impact factor: 2.419

3.  MRI vs. CT for orthodontic applications: comparison of two MRI protocols and three CT (multislice, cone-beam, industrial) technologies.

Authors:  Andreas Detterbeck; Michael Hofmeister; Elisabeth Hofmann; Daniel Haddad; Daniel Weber; Astrid Hölzing; Simon Zabler; Matthias Schmid; Karl-Heinz Hiller; Peter Jakob; Jens Engel; Jochen Hiller; Ursula Hirschfelder
Journal:  J Orofac Orthop       Date:  2016-04-20       Impact factor: 1.938

4.  Human tooth and root canal morphology reconstruction using magnetic resonance imaging.

Authors:  Oana Carmen Drăgan; Alexandru Ştefan Fărcăşanu; Radu Septimiu Câmpian; Romulus Valeriu Flaviu Turcu
Journal:  Clujul Med       Date:  2016-01-15

Review 5.  Unwanted effects due to interactions between dental materials and magnetic resonance imaging: a review of the literature.

Authors:  Sherin Jose Chockattu; Deepak Byathnal Suryakant; Sophia Thakur
Journal:  Restor Dent Endod       Date:  2018-08-30
  5 in total

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