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DOI 10.1097/rct.0000000000000300

Медицинская библиотека · Journal of computer assisted tomography · 2015

Dual-Energy Computed Tomography-How Accurate Is Gemstone Spectrum Imaging Metal Artefact Reduction? Its Application to Orthopedic Metal Implants.

Dabirrahmani Danè, Magnussen John, Appleyard Richard Charles

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

OBJECTIVE

To assess the accuracy and suitability of dual-energy computed tomography (DECT) in scanning metals used in orthopedic implants.

MATERIALS AND

METHODS

Four metal phantoms (Cobalt Chrome, Titanium Grade 5, Stainless Steel 316, and Stainless Steel 630), commonly used materials in orthopedic implants, were scanned by conventional, polychromatic CT as well as Gemstone Spectrum Imaging (GSI) DECT, with and without metal artefact reduction software (MARS). Scans were assessed for artefact based on Hounsfield unit values; and surfaces generated, based on a Canny edge detection algorithm. Two separate metal implants were also scanned and assessed for dimensional accuracy.

RESULTS

Conventional, polychromatic CT, and GSI DECT (without MARS) scans displayed major beam hardening in the presence of all four metals. The GSI DECT with MARS showed very clear and reproducible boundaries with minimal noise surrounding the metal phantoms. However, geometric analysis found overestimation of the dimensions, volume, and surface area for most of the metal phantoms. Titanium displayed the least artefact, compared to the other metals, in all scan scenarios.

CONCLUSIONS

Although metal artefact reduction using GSI DECT looks superior to conventional CT, when measured objectively, it was shown to overestimate geometries and skew dimensions. The GSI DECT with MARS should be used with caution, especially when assessing questions of implant shape or wear.

Для цитирования: Dabirrahmani Danè, Magnussen John, Appleyard Richard Charles. Dual-Energy Computed Tomography-How Accurate Is Gemstone Spectrum Imaging Metal Artefact Reduction? Its Application to Orthopedic Metal Implants.. Journal of computer assisted tomography. 2015. DOI: 10.1097/rct.0000000000000300.

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