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Dentomaxillofacial Radiology
Article . 2016 . Peer-reviewed
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Role of MRI for detecting micro cracks in teeth

Authors: Djaudat, Idiyatullin; Michael, Garwood; Laurence, Gaalaas; Donald R, Nixdorf;

Role of MRI for detecting micro cracks in teeth

Abstract

To evaluate the limit of tooth crack width visualization by two MRI pulse sequences in comparison with CBCT.Two extracted human teeth with known crack locations and dimensions, as determined by reference standard microCT, were selected for experimental imaging. Crack location/dimension and the presence of common dental restorative materials such as amalgam were typical of that found clinically. Experimental imaging consisted of conventional CBCT scans and MRI scans with two pulse sequences including Sweep Imaging with Fourier Transformation (SWIFT) and gradient echo (GRE). CBCT and MR images of extracted teeth were acquired using acquisition parameters identical to those used for in vivo imaging. Experimental and reference standard images were registered and the limit of tooth crack visualization was determined.Collected images indicate that SWIFT could demonstrate cracks with 20-µm width, which is 10 times narrower than the imaging voxel size. Cracks of this size were not visible in GRE images, even with a short echo time of 2.75 ms. The CBCT images were distorted by artefacts owing to close location of metallic restorations.The successful visualization of cracks with the SWIFT MRI sequence compared with other clinical modalities suggests that SWIFT MRI can effectively detect microcracks in teeth and therefore may have potential to be a non-invasive method for the in vivo detection of cracks in human teeth.

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Keywords

Fourier Analysis, X-Ray Microtomography, Cone-Beam Computed Tomography, Image Enhancement, Dental Amalgam, Magnetic Resonance Imaging, Imaging, Three-Dimensional, Cracked Tooth Syndrome, Image Processing, Computer-Assisted, Feasibility Studies, Humans, Artifacts

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
bronze