あなたは歯科・医療関係者ですか?

WHITE CROSSは、歯科・医療現場で働く方を対象に、良質な歯科医療情報の提供を目的とした会員制サイトです。

日本語AIでPubMedを検索

日本語AIでPubMedを検索

PubMedの提供する医学論文データベースを日本語で検索できます。AI(Deep Learning)を活用した機械翻訳エンジンにより、精度高く日本語へ翻訳された論文をご参照いただけます。
J Digit Imaging.2020 Jul;10.1007/s10278-020-00324-2. doi: 10.1007/s10278-020-00324-2.Epub 2020-07-06.

移動式コーンビームCTを用いた脊椎の術中3D画像化におけるソフトウェアベースの金属アーチファクト低減の評価

Evaluation of Software-Based Metal Artifact Reduction in Intraoperative 3D Imaging of the Spine Using a Mobile Cone Beam CT.

  • Maxim Privalov
  • Marcus Mohr
  • Benedict Swartman
  • Nils Beisemann
  • Holger Keil
  • Jochen Franke
  • Paul Alfred Grützner
  • Sven Yves Vetter
PMID: 32632648 DOI: 10.1007/s10278-020-00324-2.

抄録

The aim of our study was to evaluate whether software-based artifact reduction can achieve an improved image quality, using intraoperative 3D imaging in spinal surgery. A total of 49 intraoperative 3D image datasets of patients, who underwent surgery with pedicle screw placement, were retrospectively evaluated. The visibility of anatomical structures and the diameter of the pedicle screws were examined, with and without the application of the artifact reduction software. All software prototypes can improve the visibility of anatomical structures (P < 0.01), except MAR (metal artifact reduction) combined with IRIS (iterative reconstruction in image space) (P = 0.04). The algorithms MAR and MAR-2 can reduce the blooming artifacts significantly (P < 0.01), but SL (Shepp & Logan) cannot (P = 0.08-0.988). In summary, software-based artifact reduction for intraoperative 3D datasets can improve the current image quality. Additional information regarding the implant placement and the fracture reduction is therefore generated for the surgeon.