Application of a variable filter for presampled modulation transfer function analysis with the edge method

Ryo Higashide, Katsuhiro Ichikawa, Hiroshi Kunitomo, Kazuya Ohashi

研究成果: Article査読

4 被引用数 (Scopus)

抄録

We devised a new noise filtering method to reduce the noise in the line spread function (LSF) for presampled modulation transfer function (MTF) analysis with the edge method. A filter was designed to reduce noise effectively using a position-dependent filter controlled by the boundary frequency b for low-pass filtering, which is calculated by 1/2d (d: distance from the LSF center). In this filtering process, strong filters with very low b can be applied to regions distant from the LSF center, and the region near the LSF center can be maintained simultaneously by a correspondingly high b. Presampled MTF accuracies derived by use of the proposed method and an edge spread function (ESF)-fitting method were compared by use of simulated ESFs with and without noise, resembling a computed radiography (CR) and an indirect-type flat panel detector (FPD), respectively. In addition, the edge images of clinical CR, indirect-type FPD, and direct-type FPD systems were examined. For a simulated ESF without noise, the calculated MTFs of the variable filtering method agreed precisely with the true MTFs. The excellent noise-reduction ability of the variable filter was demonstrated for all simulated noisy ESFs and those of three clinical systems. Although the ESF-fitting method provided excellent noise reduction only for the CR-like simulated ESF with noise, its noise elimination performance could not be demonstrated due to the lesser robustness of the fitting.

本文言語English
ページ(範囲)320-330
ページ数11
ジャーナルRadiological Physics and Technology
8
2
DOI
出版ステータスPublished - 23-07-2015
外部発表はい

All Science Journal Classification (ASJC) codes

  • 放射線
  • 理学療法、スポーツ療法とリハビリテーション
  • 放射線学、核医学およびイメージング

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